📊 ONE changes (public) #3454
Closed
📊 ONE changes (public) #3454
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
|
Quick links (staging server):
Login: chart-diff: ❌
data-diff: ❌ Found differences= Dataset garden/health/latest/global_health_mpox
= Table global_health_mpox
~ Dim country
+ + New values: 1 / 82 (1.22%)
date country
2024-09-22 Liberia
- - Removed values: 5 / 82 (6.10%)
date country
2024-10-21 Cameroon
2024-10-21 Gabon
2024-10-21 Liberia
2024-10-13 Nigeria
2024-10-13 Rwanda
~ Dim date
+ + New values: 1 / 82 (1.22%)
country date
Liberia 2024-09-22
- - Removed values: 5 / 82 (6.10%)
country date
Cameroon 2024-10-21
Gabon 2024-10-21
Liberia 2024-10-21
Nigeria 2024-10-13
Rwanda 2024-10-13
~ Column reported_cases (new data, changed data)
+ + New values: 1 / 82 (1.22%)
country date reported_cases
Liberia 2024-09-22 26.0
- - Removed values: 5 / 82 (6.10%)
country date reported_cases
Cameroon 2024-10-21 5.0
Gabon 2024-10-21 3.0
Liberia 2024-10-21 33.0
Nigeria 2024-10-13 42.0
Rwanda 2024-10-13 303.0
~ Column suspected_cases_cumulative (new data, changed data)
+ + New values: 1 / 82 (1.22%)
country date suspected_cases_cumulative
Liberia 2024-09-22 26.0
- - Removed values: 5 / 82 (6.10%)
country date suspected_cases_cumulative
Cameroon 2024-10-21 210.0
Gabon 2024-10-21 3.0
Liberia 2024-10-21 33.0
Nigeria 2024-10-13 1339.0
Rwanda 2024-10-13 2042.0
= Dataset garden/igh/2024-07-05/better_data_homelessness
= Table better_data_homelessness
~ Column igh_framework_category_simplified (changed metadata)
- - - We only consider the data from the source that is at most five years old.
? ^ --------------------
+ + - We only consider the data from the source that is recent.
? ^^^^^
~ Column total_homeless_data_scorecard (changed metadata)
- - - We only consider the data from the source that is at most five years old.
? ^ --------------------
+ + - We only consider the data from the source that is recent.
? ^^^^^
~ Dataset garden/oecd/2024-08-21/official_development_assistance
- - title: 'OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor'
? ^ ^^ ^ ^ ^^
+ + title: 'OECD Official Development Assistance (ODA) - DAC2A: Aid (ODA) disbursements to countries and regions'
? ^^ +++ ^^ ^^^^^^ ++++++ +++ ^^^^ ^
- - This database provides aggregates on official development assistance (ODA) or other official flows (OOF), as well as flows from philanthropic foundations. These statistics are shown by sector and provider over time.
+ + Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from all bilateral and multilateral donors and philanthropic foundations.
~ Table official_development_assistance (changed metadata)
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + - channel
~ Column capital_subscriptions_deposits (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
capital_subscriptions_deposits
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1532 / 480607 (0.32%)
capital_subscriptions_deposits - capital_subscriptions_deposits +
1.398798e+10 NaN
5.592000e+07 NaN
1.024860e+09 NaN
1.253900e+08 NaN
NaN 1.392416e+10
~ Column capital_subscriptions_deposits_recipient (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
capital_subscriptions_deposits_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2386 / 480607 (0.50%)
capital_subscriptions_deposits_recipient - capital_subscriptions_deposits_recipient +
11010000.0 NaN
26800000.0 NaN
65920000.0 NaN
16200001.0 NaN
704030016.0 NaN
~ Column channel (changed metadata, new data, changed data)
- - {}
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by channels
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract disbursed flows for donors and recipients, by channels. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + New values: 348622 / 480607 (72.54%)
channel
NaN
NaN
NaN
NaN
NaN
~ Changed values: 8306 / 480607 (1.73%)
channel - channel +
NaN Unspecified
NaN Unspecified
NaN Unspecified
NaN Public sector
NaN Unspecified
~ Column country (changed metadata, new data, changed data)
- - title: Donor
- - - producer: OECD
+ + - producer: OECD via ONE
? ++++++++
- - title: 'OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor'
+ + title: Official Development Assistance (ODA) - ONE ODA data package
- - This database provides aggregates on official development assistance (ODA) or other official flows (OOF), as well as flows from philanthropic foundations. These statistics are shown by sector and provider over time.
- - citation_full: 'OECD (2024). OECD Official Development Assistance (ODA) - DAC5: Aid (ODA) by sector and donor. OECD Data
- - Explorer.'
- - url_main: https://www.oecd.org/en/topics/policy-issues/official-development-assistance-oda.html
- - url_download: https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ce0c6657-1a43-4193-954f-97599b41a546
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by channels
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract disbursed flows for donors and recipients, by channels. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
- - date_accessed: '2024-08-21'
? - -
+ + date_accessed: '2024-10-02'
? + +
- - date_published: '2024-07-20'
? ^
+ + date_published: '2024-07-23'
? ^
- - name: OECD Terms & conditions
? ^
+ + name: OECD Terms & Conditions
? ^
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by sector
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract committed flows for donors and recipients, by sector. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + New values: 348622 / 480607 (72.54%)
country
Guinea-Bissau
Haiti
Islamic Development Bank
Mali
Papua New Guinea
~ Changed values: 131612 / 480607 (27.38%)
country - country +
Denmark Asian Development Bank
Japan Brazil
Postcode Lottery Group Climate Investment Funds
South Korea Costa Rica
UNFPA Democratic Republic of Congo
~ Column development_food_aid_recipient (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
development_food_aid_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 23265 / 480607 (4.84%)
development_food_aid_recipient - development_food_aid_recipient +
12780000.0 NaN
NaN 3134639872.0
26340000.0 NaN
2290000.0 NaN
NaN 63160000.0
~ Column development_food_aid_recipient_per_capita (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
development_food_aid_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 15359 / 480607 (3.20%)
development_food_aid_recipient_per_capita - development_food_aid_recipient_per_capita +
0.495473 NaN
0.184546 NaN
0.240496 NaN
0.021032 NaN
0.609807 NaN
~ Column donor (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
donor
NaN
NaN
NaN
NaN
Multilateral organizations
~ Changed values: 70123 / 480607 (14.59%)
donor - donor +
DAC countries NaN
Total aid NaN
Non-DAC countries NaN
Private donors NaN
NaN DAC countries
~ Column flows_net_disbursements (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
flows_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2506 / 480607 (0.52%)
flows_net_disbursements - flows_net_disbursements +
7.202965e+10 NaN
NaN 3177121024.0
7.246600e+08 NaN
5.284957e+09 NaN
7.823624e+07 NaN
~ Column flows_share_gni_grant_equivalents (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
flows_share_gni_grant_equivalents
NaN
NaN
NaN
NaN
NaN
~ Changed values: 23 / 480607 (0.00%)
flows_share_gni_grant_equivalents - flows_share_gni_grant_equivalents +
0.12 NaN
0.14 NaN
0.15 NaN
0.96 NaN
0.40 NaN
~ Column flows_share_gni_net_disbursements (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
flows_share_gni_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2353 / 480607 (0.49%)
flows_share_gni_net_disbursements - flows_share_gni_net_disbursements +
1.064669 NaN
0.101618 NaN
- -0.136842 NaN
0.549232 NaN
0.866809 NaN
~ Column grants (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
grants
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2904 / 480607 (0.60%)
grants - grants +
NaN 1866489984.0
1.241922e+10 NaN
1.053951e+10 NaN
7.475260e+09 NaN
1.583130e+09 NaN
~ Column grants_recipient (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
grants_recipient
NaN
NaN
NaN
NaN
80000.0
~ Changed values: 58260 / 480607 (12.12%)
grants_recipient - grants_recipient +
9820000.0 NaN
113340000.0 NaN
44300000.0 NaN
900000.0 NaN
106500000.0 NaN
~ Column grants_recipient_per_capita (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
grants_recipient_per_capita
NaN
NaN
NaN
NaN
0.039098
~ Changed values: 41492 / 480607 (8.63%)
grants_recipient_per_capita - grants_recipient_per_capita +
NaN 10.702162
1184.834106 0.923561
26.525620 NaN
0.101058 NaN
38.028904 NaN
~ Column humanitarian_aid_recipient (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
humanitarian_aid_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 28490 / 480607 (5.93%)
humanitarian_aid_recipient - humanitarian_aid_recipient +
2.003400e+08 NaN
3.400000e+05 NaN
NaN 116060000.0
1.300000e+05 NaN
1.600000e+05 NaN
~ Column humanitarian_aid_recipient_per_capita (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
humanitarian_aid_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 19257 / 480607 (4.01%)
humanitarian_aid_recipient_per_capita - humanitarian_aid_recipient_per_capita +
3.894856 NaN
NaN 73.868385
NaN 1.846694
NaN 5.046182
0.094680 NaN
~ Column i_oda_net_disbursements (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
i_oda_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 3027 / 480607 (0.63%)
i_oda_net_disbursements - i_oda_net_disbursements +
1.788900e+09 NaN
1.983112e+08 NaN
7.816191e+09 NaN
1.211905e+09 NaN
2.174894e+10 NaN
~ Column i_oda_net_disbursements_multilaterals_private_grants (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
i_oda_net_disbursements_multilaterals_private_grants
NaN
NaN
NaN
NaN
NaN
~ Changed values: 5261 / 480607 (1.09%)
i_oda_net_disbursements_multilaterals_private_grants - i_oda_net_disbursements_multilaterals_private_grants +
1.300600e+08 NaN
2.699045e+09 NaN
1.783290e+07 NaN
1.117607e+10 NaN
5.174000e+07 NaN
~ Column i_oda_net_disbursements_per_capita (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
i_oda_net_disbursements_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2422 / 480607 (0.50%)
i_oda_net_disbursements_per_capita - i_oda_net_disbursements_per_capita +
35.074024 NaN
131.011917 NaN
142.481995 NaN
13.703667 NaN
NaN 79.698654
~ Column i_oda_net_disbursements_share_gni (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
i_oda_net_disbursements_share_gni
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2607 / 480607 (0.54%)
i_oda_net_disbursements_share_gni - i_oda_net_disbursements_share_gni +
0.498588 NaN
NaN 0.598233
1.030447 NaN
0.311179 NaN
NaN 0.549766
~ Column ii_oof_net_disbursements (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
ii_oof_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1978 / 480607 (0.41%)
ii_oof_net_disbursements - ii_oof_net_disbursements +
61913468.0 NaN
461125376.0 NaN
0.0 NaN
9783294976.0 NaN
- -20143046.0 NaN
~ Column iii_officially_supported_export_credits_net_disbursements (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
iii_officially_supported_export_credits_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1865 / 480607 (0.39%)
iii_officially_supported_export_credits_net_disbursements - iii_officially_supported_export_credits_net_disbursements +
383391648.0 NaN
7250782208.0 NaN
1803705216.0 NaN
NaN -427080960.0
- -71058168.0 NaN
~ Column iv_private_flows_market_terms_net_disbursements (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
iv_private_flows_market_terms_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1990 / 480607 (0.41%)
iv_private_flows_market_terms_net_disbursements - iv_private_flows_market_terms_net_disbursements +
3924089088.0 NaN
0.0 NaN
300627712.0 NaN
392969632.0 NaN
5084380672.0 NaN
~ Column level_0 (new data)
+ + New values: 348622 / 480607 (72.54%)
level_0
196763
203093
224862
274544
349219
~ Column loans (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
loans
NaN
NaN
NaN
NaN
NaN
~ Changed values: 2231 / 480607 (0.46%)
loans - loans +
2.967000e+07 NaN
- -3.699000e+07 NaN
1.597859e+10 NaN
1.102000e+07 NaN
3.530000e+06 NaN
~ Column loans_recipient (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
loans_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 44794 / 480607 (9.32%)
loans_recipient - loans_recipient +
41530000.0 NaN
2929639936.0 NaN
NaN -7920000.0
390000.0 NaN
510000.0 NaN
~ Column loans_recipient_per_capita (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
loans_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 31498 / 480607 (6.55%)
loans_recipient_per_capita - loans_recipient_per_capita +
- -0.872040 NaN
16.033850 NaN
15.307531 NaN
1.147913 NaN
5.185519 NaN
~ Column oda_bilateral_2_net_disbursements (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
oda_bilateral_2_net_disbursements
NaN
NaN
NaN
NaN
NaN
~ Changed values: 3012 / 480607 (0.63%)
oda_bilateral_2_net_disbursements - oda_bilateral_2_net_disbursements +
932128832.0 NaN
2923635200.0 NaN
2555525888.0 NaN
311736608.0 NaN
36645400.0 NaN
~ Column oda_bilateral_grant_equivalents (new data, changed data)
+ + New values: 348622 / 480607 (72.54%)
oda_bilateral_grant_equivalents
NaN
NaN
NaN
NaN
NaN
~ Changed values: 402 / 480607 (0.08%)
oda_bilateral_grant_equivalents - oda_bilateral_grant_equivalents +
5.737569e+10 NaN
1.154199e+11 NaN
NaN 2805689088.0
2.037025e+07 NaN
3.326331e+10 NaN
~ Column oda_by_channel_donor (changed metadata, new data, changed data)
- - {}
+ + title: ODA by donor and channel (<<channel>>)
+ + description_short: |-
+ + [Official development assistance](#dod:oda) given through <<channel.lower()>>. Monetary aid is estimated using gross disbursement data. This data is expressed in US dollars. It is adjusted for inflation.
+ + description_key:
+ + - |-
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental". For more details about ODA, please refer to the (https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf).
+ + - |-
+ + Official development assistance does not include military aid, except for the cost of using armed forces to deliver humanitarian aid. It also excludes most peacekeeping expenditures, except for those closely related to development. Nuclear energy is included only if it is for civilian purposes, and cultural programs are eligible only if they build the cultural capacities of recipient countries.
+ + - The data is measured in constant 2022 US$ – this adjusts for inflation.
+ + - |-
+ + The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) maintains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by channels
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract disbursed flows for donors and recipients, by channels. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + unit: constant 2022 US$
+ + short_unit: $
+ + display:
+ + tolerance: 5
+ + entityAnnotationsMap: |-
+ + DAC countries (OECD): Major aid donors in the OECD plus EU institutions
+ + Non-DAC countries (OECD): Qatar, Saudi Arabia, Turkey, UAE, among others
+ + G7 countries (OECD): Canada, France, Germany, Italy, Japan, UK and US
+ + Multilateral organizations (OECD): e.g. World Bank and UN agencies
+ + Official donors: DAC countries, non-DAC countries and multilateral organizations
+ + Private donors: Private foundations reporting aid data
+ + name: ODA by donor and channel (<<channel>>)
+ + numDecimalPlaces: 0
+ + processing_level: major
+ + presentation:
+ + title_public: ODA by donor and channel (<<channel>>)
+ + topic_tags:
+ + - Foreign Aid
+ + description_processing: |-
+ + We calculated this indicator by aggregating the gross bilateral and imputed multilateral flows processed by the [ONE Campaign](https://github.com/ONEcampaign/oda_data_package/) from the OECD data. We also aggregate channel categories to provide a more comprehensive view of aid given and received.
+ + New values: 348622 / 480607 (72.54%)
oda_by_channel_donor
NaN
NaN
NaN
NaN
NaN
~ Changed values: 1593 / 480607 (0.33%)
oda_by_channel_donor - oda_by_channel_donor +
NaN 166111264.0
NaN 0.0
NaN 4374445.0
NaN 92510.0
NaN 291530208.0
~ Column oda_by_channel_donor_per_capita (changed metadata, new data, changed data)
- - {}
+ + title: ODA per capita by donor and channel (<<channel>>)
+ + description_short: |-
+ + [Official development assistance](#dod:oda) given through <<channel.lower()>>, divided by population. Monetary aid is estimated using gross disbursement data. This data is expressed in US dollars. It is adjusted for inflation.
+ + description_key:
+ + - |-
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental". For more details about ODA, please refer to the (https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf).
+ + - |-
+ + Official development assistance does not include military aid, except for the cost of using armed forces to deliver humanitarian aid. It also excludes most peacekeeping expenditures, except for those closely related to development. Nuclear energy is included only if it is for civilian purposes, and cultural programs are eligible only if they build the cultural capacities of recipient countries.
+ + - The data is measured in constant 2022 US$ – this adjusts for inflation.
+ + - |-
+ + The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) maintains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by channels
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract disbursed flows for donors and recipients, by channels. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + - producer: Various sources
+ + title: Population
+ + description: |-
+ + Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.
+ +
+ + You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources
+ + citation_full: |-
+ + The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources
+ + attribution: Population based on various sources (2024)
+ + attribution_short: Population
+ + url_main: https://ourworldindata.org/population-sources
+ + date_accessed: '2024-07-11'
+ + date_published: '2024-07-15'
+ + license:
+ + name: CC BY 4.0
+ + url: https://creativecommons.org/licenses/by/4.0/
+ + licenses:
+ + - name: Creative Commons BY 4.0
+ + url: https://docs.google.com/document/d/1-RmthhS2EPMK_HIpnPctcXpB0n7ADSWnXa5Hb3PxNq4/edit?usp=sharing
+ + unit: constant 2022 US$
+ + short_unit: $
+ + display:
+ + tolerance: 5
+ + entityAnnotationsMap: |-
+ + DAC countries (OECD): Major aid donors in the OECD plus EU institutions
+ + Non-DAC countries (OECD): Qatar, Saudi Arabia, Turkey, UAE, among others
+ + G7 countries (OECD): Canada, France, Germany, Italy, Japan, UK and US
+ + Multilateral organizations (OECD): e.g. World Bank and UN agencies
+ + Official donors: DAC countries, non-DAC countries and multilateral organizations
+ + Private donors: Private foundations reporting aid data
+ + name: ODA per capita by donor and channel (<<channel>>)
+ + numDecimalPlaces: 2
+ + processing_level: major
+ + presentation:
+ + title_public: ODA per capita by donor and channel (<<channel>>)
+ + topic_tags:
+ + - Foreign Aid
+ + description_processing: |-
+ + We calculated this indicator by dividing by the population of each country. We use a long-run population dataset (https://ourworldindata.org/population-sources).
+ +
+ + We calculated this indicator by aggregating the gross bilateral and imputed multilateral flows processed by the [ONE Campaign](https://github.com/ONEcampaign/oda_data_package/) from the OECD data. We also aggregate channel categories to provide a more comprehensive view of aid given and received.
+ + New values: 348622 / 480607 (72.54%)
oda_by_channel_donor_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 898 / 480607 (0.19%)
oda_by_channel_donor_per_capita - oda_by_channel_donor_per_capita +
NaN 0.159599
NaN 46.754471
NaN 13.631045
NaN 15.006621
NaN 31.992563
~ Column oda_by_channel_recipient (changed metadata, new data, changed data)
- - {}
+ + title: ODA by recipient and channel (<<channel>>)
+ + description_short: |-
+ + [Official development assistance](#dod:oda) received through <<channel.lower()>>. Monetary aid is estimated using gross disbursement data. This data is expressed in US dollars. It is adjusted for inflation.
+ + description_key:
+ + - |-
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental". For more details about ODA, please refer to the (https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf).
+ + - |-
+ + Official development assistance does not include military aid, except for the cost of using armed forces to deliver humanitarian aid. It also excludes most peacekeeping expenditures, except for those closely related to development. Nuclear energy is included only if it is for civilian purposes, and cultural programs are eligible only if they build the cultural capacities of recipient countries.
+ + - The data is measured in constant 2022 US$ – this adjusts for inflation.
+ + - |-
+ + The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) maintains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by channels
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract disbursed flows for donors and recipients, by channels. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + unit: constant 2022 US$
+ + short_unit: $
+ + display:
+ + tolerance: 5
+ + entityAnnotationsMap: |-
+ + DAC countries (OECD): Major aid donors in the OECD plus EU institutions
+ + Non-DAC countries (OECD): Qatar, Saudi Arabia, Turkey, UAE, among others
+ + G7 countries (OECD): Canada, France, Germany, Italy, Japan, UK and US
+ + Multilateral organizations (OECD): e.g. World Bank and UN agencies
+ + Official donors: DAC countries, non-DAC countries and multilateral organizations
+ + Private donors: Private foundations reporting aid data
+ + name: ODA by recipient and channel (<<channel>>)
+ + numDecimalPlaces: 0
+ + processing_level: major
+ + presentation:
+ + title_public: ODA by recipient and channel (<<channel>>)
+ + topic_tags:
+ + - Foreign Aid
+ + description_processing: |-
+ + We calculated this indicator by aggregating the gross bilateral and imputed multilateral flows processed by the [ONE Campaign](https://github.com/ONEcampaign/oda_data_package/) from the OECD data. We also aggregate channel categories to provide a more comprehensive view of aid given and received.
+ + New values: 348622 / 480607 (72.54%)
oda_by_channel_recipient
NaN
NaN
NaN
NaN
NaN
~ Changed values: 6751 / 480607 (1.40%)
oda_by_channel_recipient - oda_by_channel_recipient +
NaN 126095864.0
NaN 345097600.0
NaN 121999408.0
NaN 9215695.0
NaN 1657492.0
~ Column oda_by_channel_recipient_per_capita (changed metadata, new data, changed data)
- - {}
+ + title: ODA per capita by recipient and channel (<<channel>>)
+ + description_short: |-
+ + [Official development assistance](#dod:oda) received through <<channel.lower()>>, divided by population. Monetary aid is estimated using gross disbursement data. This data is expressed in US dollars. It is adjusted for inflation.
+ + description_key:
+ + - |-
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental". For more details about ODA, please refer to the (https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf).
+ + - |-
+ + Official development assistance does not include military aid, except for the cost of using armed forces to deliver humanitarian aid. It also excludes most peacekeeping expenditures, except for those closely related to development. Nuclear energy is included only if it is for civilian purposes, and cultural programs are eligible only if they build the cultural capacities of recipient countries.
+ + - The data is measured in constant 2022 US$ – this adjusts for inflation.
+ + - |-
+ + The [OECD Development Assistance Committee (DAC)](https://www.oecd.org/en/about/committees/development-assistance-committee.html) maintains a list of territories where ODA can be provided. The countries and territories on the DAC list of ODA recipients consist of all low and middle income countries based on gross national income (GNI) per capita as published by the World Bank, with the exception of former G8 members, EU members, and countries with a firm date for entry into the EU. The list also includes all of the Least Developed Countries (LDCs) as defined by the United Nations. The list is updated every three years and is available in (https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/dac-list-of-oda-recipients.html).
+ + origins:
+ + - producer: OECD via ONE
+ + title: Official Development Assistance (ODA) - ONE ODA data package
+ + description: |-
+ + This package contains key tools used by The ONE Campaign to analyze Official Development Assistance (ODA) data from the OECD DAC databases.
+ +
+ + Interacting with the DAC databases can be a complex task. There are many databases, tables, and web interfaces which can be used to get the data you need. This means that getting the right ODA data can require expert knowledge not only of ODA, but also of how the DAC databases and tools are organized.
+ +
+ + This package aims to simplify this process and make it easier for users to get the data they need.
+ + title_snapshot: Official Development Assistance (ODA) - ONE ODA data package - Data by channels
+ + description_snapshot: |-
+ + From the ONE ODA data package we extract disbursed flows for donors and recipients, by channels. This data is originally extracted from the [Creditor Reporting System dataset](https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=19&df=dsDisseminateFinalDMZ&df=DSD_CRS%40DF_CRS&df=OECD.DCD.FSD&df=1.1) published by the OECD.
+ + citation_full: |-
+ + ONE Campaign (2024). The ODA Data Package. Original data coming from OECD (2024). OECD Official Development Assistance (ODA) - CRS: Creditor Reporting System (flows). OECD Data Explorer.
+ + url_main: https://github.com/ONEcampaign/oda_data_package/
+ + date_accessed: '2024-10-02'
+ + date_published: '2024-07-23'
+ + license:
+ + name: OECD Terms & Conditions
+ + url: https://www.oecd.org/en/about/terms-conditions.html
+ + - producer: Various sources
+ + title: Population
+ + description: |-
+ + Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.
+ +
+ + You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources
+ + citation_full: |-
+ + The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources
+ + attribution: Population based on various sources (2024)
+ + attribution_short: Population
+ + url_main: https://ourworldindata.org/population-sources
+ + date_accessed: '2024-07-11'
+ + date_published: '2024-07-15'
+ + license:
+ + name: CC BY 4.0
+ + url: https://creativecommons.org/licenses/by/4.0/
+ + licenses:
+ + - name: Creative Commons BY 4.0
+ + url: https://docs.google.com/document/d/1-RmthhS2EPMK_HIpnPctcXpB0n7ADSWnXa5Hb3PxNq4/edit?usp=sharing
+ + unit: constant 2022 US$
+ + short_unit: $
+ + display:
+ + tolerance: 5
+ + entityAnnotationsMap: |-
+ + DAC countries (OECD): Major aid donors in the OECD plus EU institutions
+ + Non-DAC countries (OECD): Qatar, Saudi Arabia, Turkey, UAE, among others
+ + G7 countries (OECD): Canada, France, Germany, Italy, Japan, UK and US
+ + Multilateral organizations (OECD): e.g. World Bank and UN agencies
+ + Official donors: DAC countries, non-DAC countries and multilateral organizations
+ + Private donors: Private foundations reporting aid data
+ + name: ODA per capita by recipient and channel (<<channel>>)
+ + numDecimalPlaces: 2
+ + processing_level: major
+ + presentation:
+ + title_public: ODA per capita by recipient and channel (<<channel>>)
+ + topic_tags:
+ + - Foreign Aid
+ + description_processing: |-
+ + We calculated this indicator by dividing by the population of each country. We use a long-run population dataset (https://ourworldindata.org/population-sources).
+ +
+ + We calculated this indicator by aggregating the gross bilateral and imputed multilateral flows processed by the [ONE Campaign](https://github.com/ONEcampaign/oda_data_package/) from the OECD data. We also aggregate channel categories to provide a more comprehensive view of aid given and received.
+ + New values: 348622 / 480607 (72.54%)
oda_by_channel_recipient_per_capita
NaN
NaN
NaN
NaN
NaN
~ Changed values: 5376 / 480607 (1.12%)
oda_by_channel_recipient_per_capita - oda_by_channel_recipient_per_capita +
NaN 1.502919
NaN 0.000000
NaN 0.158944
NaN 0.548515
NaN 0.000000
~ Column oda_by_sector (changed metadata, new data, changed data)
+ + {}
- - title: ODA by donor and sector (<<sector>>)
- - description_short: |-
- - [Official development assistance](#dod:oda) given that is <<sector.lower()>>. Monetary aid is estimated using commitment or gross disbursement data. This data is expressed in US dollars. It is adjusted for inflation.
- - description_key:
- - - |-
- - Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily development
...diff too long, truncated...Automatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-11-20 10:37:07 UTC |
|
@paarriagadap I see that this PR is closely related to #3449. Maybe adding some minor line in the description of this one and #3449 just so it is easy to understand why we have them both. (no urgency, just doing some 🧹) |
|
I have just closed #3449 because of the reasons described here https://github.com/owid/owid-issues/issues/1620#issuecomment-2539504818 I can close this one as well. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.