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data-diff: ❌ Found differences= Dataset garden/antibiotics/2024-10-09/gram
= Table gram
= Dataset garden/antibiotics/2024-10-09/gram_level
= Table gram_level
= Dataset garden/artificial_intelligence/2024-07-16/cset
= Table cset
= Dataset garden/aviation_safety_network/2024-06-05/aviation_statistics
= Table aviation_statistics
= Dataset garden/climate_watch/2024-11-21/emissions_by_sector
= Table carbon_dioxide_emissions_by_sector
= Table methane_emissions_by_sector
= Table fluorinated_gas_emissions_by_sector
= Table greenhouse_gas_emissions_by_sector
= Table nitrous_oxide_emissions_by_sector
= Dataset garden/countries/2024-08-27/gleditsch
= Table gleditsch_regions
= Table gleditsch
= Table gleditsch_countries
= Dataset garden/demography/2024-07-12/un_wpp_historical
= Table projections
~ Column population (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table estimates
~ Column population_estimates (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Dataset garden/demography/2024-07-15/population
= Table population
= Table population_density
= Table population_original
= Table historical
= Table population_growth_rate
= Table projections
= Dataset garden/demography/2024-07-18/population_doubling_times
= Table population_doubling_times
= Dataset garden/demography/2024-12-03/birth_rate
= Table birth_rate
= Dataset garden/demography/2024-12-03/fertility_rate
= Table fertility_rate
= Dataset garden/demography/2024-12-03/life_expectancy
= Table life_expectancy_only_proj
= Table life_expectancy
= Table life_expectancy_with_proj
= Dataset garden/education/2023-07-17/education_barro_lee_projections
= Table education_barro_lee_projections
= Dataset garden/education/2023-07-17/education_lee_lee
= Table education_lee_lee
= Dataset garden/emdat/2024-04-11/natural_disasters
= Table natural_disasters_yearly
= Table natural_disasters_decadal_deaths
= Table natural_disasters_yearly_impact
= Table natural_disasters_yearly_deaths
= Table natural_disasters_decadal
= Table natural_disasters_decadal_impact
= Dataset garden/emissions/2024-11-21/gdp_and_co2_decoupling
= Table gdp_and_co2_decoupling
= Dataset garden/emissions/2024-11-21/national_contributions
= Table national_contributions
= Dataset garden/emissions/2024-11-21/owid_co2
= Table owid_co2
= Table owid_co2_codebook
= Dataset garden/energy/2024-11-15/photovoltaic_cost_and_capacity
= Table photovoltaic_cost_and_capacity
= Dataset garden/gapminder/2023-09-22/total_fertility_rate
= Table fertility_rate
= Dataset garden/gcp/2024-11-21/global_carbon_budget
= Table global_carbon_budget
= Dataset garden/growth/2024-05-16/gdp_historical
= Table gdp_historical
= Dataset garden/harvard/2024-07-22/global_military_spending_dataset
= Table global_military_spending_dataset
= Dataset garden/health/2024-04-22/gpei_funding
= Table gpei_funding
= Dataset garden/health/latest/global_health_mpox
= Table global_health_mpox
= Dataset garden/irena/2024-11-01/renewable_capacity_statistics
= Table renewable_capacity_statistics
= Dataset garden/maternal_mortality/2024-07-08/maternal_mortality
= Table maternal_mortality
= Dataset garden/migration/2024-11-18/migration_between_regions
= Table migration_between_regions
= Dataset garden/oecd/2024-08-21/co2_air_transport
= Table co2_air_transport
= Dataset garden/oecd/2024-08-21/official_development_assistance
= Table official_development_assistance
= Table dac2a
= Dataset garden/research_development/2024-05-20/patents_articles
= Table patents_articles
= Dataset garden/sipri/2024-07-08/military_expenditure
= Table military_expenditure
= Dataset garden/tourism/2024-08-17/unwto
= Table unwto
= Dataset garden/un/2024-03-14/un_wpp_most
= Table population_10_year_age_groups
= Table population_5_year_age_groups
= Dataset garden/un/2024-04-09/undp_hdr
= Table undp_hdr
= Dataset garden/un/2024-07-12/un_wpp
= Table population
~ Column population (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
~ Column population_change (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
~ Column population_density (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - The number of people per km² of land area. <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + The number of people per km² of land area. <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table fertility_rate
~ Column fertility_rate (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table births
~ Column birth_rate (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - The number of live births occurring during the year, per 1,000 people. <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- ^^^^^
+ + The number of live births occurring during the year, per 1,000 people. <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? ^^^^
~ Column births (changed metadata)
- - Number of births recorded annually, based on the civil calendar year, spanning from January 1 to December 31. <%- if sex is defined -%>
? - ^^^ ^^^^^
+ + Number of births recorded annually, based on the civil calendar year, spanning from January 1 to December 31. <%-if not (sex == 'all' and age == 'all') -%>
? +++++ ^^^^^^^^^^^ +++ ^^^^^^^^^^
- - <%-if not (sex == 'all' and age == 'all') -%>
- - <%- endif -%>
? -
+ + <%-endif -%>
- - <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table median_age
~ Column median_age (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - The median age divides the population into two parts of equal size; that is, there are as many people with ages above the median age as there are with ages below. <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ^^^^^
+ + The median age divides the population into two parts of equal size; that is, there are as many people with ages above the median age as there are with ages below. <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? ^^^^^^^ ^^^^
= Table natural_change_rate
~ Column natural_change_rate (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - The natural growth rate is the population change determined by births and deaths. Migration flows are not taken into account. <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- ^^^^^
+ + The natural growth rate is the population change determined by births and deaths. Migration flows are not taken into account. <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? ^^^^
= Table migration
~ Column net_migration (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%-endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%-endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
~ Column net_migration_rate (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table deaths
~ Column death_rate (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - The number of deaths occurring during the year, per 1,000 people. <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + The number of deaths occurring during the year, per 1,000 people. <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
~ Column deaths (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table dependency_ratio
~ Column dependency_ratio (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table life_expectancy
~ Column life_expectancy (changed metadata)
- - <%-endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%-endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%-endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%-endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table growth_rate
~ Column growth_rate (changed metadata)
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - The growth rate is the population change determined by births, deaths, and migration flows. <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- ^^^^^
+ + The growth rate is the population change determined by births, deaths, and migration flows. <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? ^^^^
= Table mortality_rate
~ Column mortality_rate (changed metadata)
- - <%-endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%-endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Table sex_ratio
~ Column sex_ratio (changed metadata)
- - <%-endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%-endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%-endif -%> <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%-endif -%> <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Dataset garden/un/2024-07-25/refugee_data
= Table refugee_data
= Dataset garden/un/2024-07-25/resettlement
= Table resettlement
= Dataset garden/un/2024-09-11/igme
= Table igme
= Table igme_under_fifteen_mortality
= Dataset garden/un/2024-09-16/long_run_child_mortality
= Table long_run_child_mortality
= Table long_run_child_mortality_selected
= Dataset garden/un/2024-10-01/births_by_age
= Table births_by_age
~ Column births (changed metadata)
- - Number of births recorded annually, based on the civil calendar year, spanning from January 1 to December 31. <%- if sex is defined -%>
? - ^^^ ^^^^^
+ + Number of births recorded annually, based on the civil calendar year, spanning from January 1 to December 31. <%-if not (sex == 'all' and age == 'all') -%>
? +++++ ^^^^^^^^^^^ +++ ^^^^^^^^^^
- - <%-if not (sex == 'all' and age == 'all') -%>
- - <%- endif -%>
? -
+ + <%-endif -%>
- - <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
~ Column share (changed metadata)
- - Number of births recorded annually, based on the civil calendar year, spanning from January 1 to December 31. <%- if sex is defined -%>
? - ^^^ ^^^^^
+ + Number of births recorded annually, based on the civil calendar year, spanning from January 1 to December 31. <%-if not (sex == 'all' and age == 'all') -%>
? +++++ ^^^^^^^^^^^ +++ ^^^^^^^^^^
- - <%-if not (sex == 'all' and age == 'all') -%>
- - <%- endif -%>
? -
+ + <%-endif -%>
- - <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
- - <%- if (variant is defined) and (variant != 'estimates') -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
? - ------------------------- -
+ + <%- if variant != 'estimates' -%> Projections from 2024 onwards are based on the UN's << variant >> scenario. <%- endif -%>
= Dataset garden/unicef/2024-07-30/child_migration
= Table child_migration
= Dataset garden/urbanization/2024-10-14/ghsl_degree_of_urbanisation
= Table ghsl_degree_of_urbanisation
= Dataset garden/urbanization/2024-12-02/ghsl_urban_centers
= Table ghsl_urban_centers
= Dataset garden/war/2023-09-21/prio_v31
= Table prio_v31_country
= Table prio_v31
= Dataset garden/war/2024-08-26/ucdp
= Table ucdp_locations
= Table ucdp
= Table ucdp_country
= Dataset garden/war/2024-08-26/ucdp_prio
= Table ucdp_prio
= Dataset garden/war/2024-11-22/ucdp_preview
= Table ucdp_preview
= Table ucdp_preview_country
= Table ucdp_preview_locations
= Dataset garden/wb/2024-06-10/gender_statistics_country_counts
= Table gender_statistics
= Dataset garden/wb/2024-07-29/income_groups
= Table income_groups
= Table income_groups_latest
= Dataset garden/wb/2024-09-09/food_prices_for_nutrition
= Table food_prices_for_nutrition
= Dataset garden/wb/2024-10-07/world_bank_pip
= Table consumption_2017_decile2_share
= Table income_2017_mean
= Table consumption_2017_decile1_thr
= Table consumption_2017_decile2_thr
= Table income_2017_poverty_gap_index_100
= Table income_consumption_2017_decile8_thr
= Table income_consumption_2017_headcount_ratio_40_median
= Table consumption_2017_decile3_thr
= Table income_consumption_2017_top1_thr
= Table consumption_2017_income_gap_ratio_100
= Table consumption_2017_total_shortfall_50_median
= Table consumption_2017_headcount_ratio_40_median
= Table income_2017_income_gap_ratio_60_median
= Table consumption_2017_avg_shortfall_2000
= Table consumption_2017_headcount_1000
= Table consumption_2017_avg_shortfall_1000
= Table income_2017_headcount_2000
= Table income_2017_total_shortfall_2000
= Table consumption_2017_income_gap_ratio_215
= Table income_2017_headcount_1000
= Table income_2017_total_shortfall_60_median
= Table income_consumption_2017_avg_shortfall_50_median
= Table income_consumption_2017_decile4_thr
= Table income_consumption_2017_decile8_avg
= Table income_consumption_2017_poverty_gap_index_1000
= Table income_2017_decile2_share
= Table income_consumption_2017_decile6_share
= Table income_consumption_2017_decile5_thr
= Table income_2017_income_gap_ratio_215
= Table income_2017_avg_shortfall_1000
= Table consumption_2017_total_shortfall_215
= Table income_2017_poverty_gap_index_50_median
= Table income_2017_decile9_avg
= Table income_consumption_2017_poverty_gap_index_365
= Table income_2017_headcount_50_median
= Table consumption_2017_headcount_ratio_685
= Table income_2017_top1_avg
= Table consumption_2017_headcount_ratio_365
= Table consumption_2017_headcount_365
= Table income_consumption_2017
~ Column poverty_gap_index_215 (changed metadata)
- - title_public: Poverty gap index at $2.15 per day
+ + title_public: $2.15 a day - Poverty gap index
+ + - Economic Inequality
+ + - Economic Growth
= Table income_consumption_2017_s80_s20_ratio
= Table income_consumption_2017_income_gap_ratio_365
= Table income_2017_income_gap_ratio_3000
= Table income_2017_total_shortfall_4000
= Table income_2017_decile7_share
= Table income_consumption_2017_decile9_share
= Table income_2017_income_gap_ratio_100
= Table income_2017_headcount_685
= Table income_2017_poverty_gap_index_2000
= Table income_consumption_2017_poverty_gap_index_60_median
= Table income_2017_poverty_gap_index_3000
= Table consumption_2017_decile7_share
= Table income_consumption_2017_top1_share
= Table consumption_2017_total_shortfall_365
= Table consumption_2017_avg_shortfall_685
= Table consumption_2017_decile8_thr
= Table consumption_2017_decile10_avg
= Table income_2017_decile7_thr
= Table consumption_2017_headcount_60_median
= Table income_2017_top90_99_share
= Table income_consumption_2017_decile6_thr
= Table consumption_2017_mld
= Table income_consumption_2017_bottom50_share
= Table income_consumption_2017_headcount_ratio_365
= Table income_2017_avg_shortfall_3000
= Table income_2011_2017
= Table consumption_2017_headcount_ratio_215
= Table consumption_2017_headcount_685
= Table income_2017_income_gap_ratio_2000
= Table income_consumption_2017_income_gap_ratio_4000
= Table income_consumption_2017_decile10_share
= Table consumption_2017_poverty_gap_index_60_median
= Table income_consumption_2017_total_shortfall_100
= Table income_consumption_2017_headcount_ratio_1000
= Table income_2017_avg_shortfall_365
= Table income_2017_income_gap_ratio_365
= Table consumption_2017_decile4_share
= Table income_2017_decile10_share
= Table consumption_2017_poverty_gap_index_685
= Table income_consumption_2017_avg_shortfall_1000
= Table income_2017_decile1_avg
= Table income_2017_decile1_thr
= Table consumption_2017_headcount_ratio_60_median
= Table consumption_2017_poverty_gap_index_215
= Table consumption_2017_s80_s20_ratio
= Table consumption_2017_decile10_share
= Table income_consumption_2017_total_shortfall_50_median
= Table consumption_2017_headcount_ratio_1000
= Table income_2017_pg
= Table consumption_2017_headcount_3000
= Table income_2017_gini
= Table consumption_2017_poverty_gap_index_100
= Table consumption_2017_total_shortfall_1000
= Table income_2017_avg_shortfall_50_median
= Table income_consumption_2017_total_shortfall_3000
= Table percentiles_income_consumption_2017
= Table income_2017_decile5_avg
= Table income_consumption_2017_spr
= Table income_2017_decile8_share
= Table income_consumption_2011
= Table income_consumption_2011_unsmoothed
= Table income_consumption_2017_polarization
= Table consumption_2017
= Table income_2017_headcount_ratio_4000
= Table consumption_2017_headcount_50_median
= Table income_2017
= Table income_2017_decile10_avg
= Table income_2017_decile8_thr
= Table income_2017_decile3_thr
= Table income_consumption_2017_poverty_gap_index_40_median
= Table consumption_2017_decile1_share
= Table consumption_2017_income_gap_ratio_685
= Table income_consumption_2017_income_gap_ratio_40_median
= Table income_consumption_2017_p90_p10_ratio
= Table consumption_2017_decile6_avg
= Table income_consumption_2017_decile5_share
= Table income_consumption_2017_decile9_avg
= Table income_consumption_2017_headcount_ratio_4000
= Table income_consumption_2017_headcount_365
= Table income_consumption_2017_headcount_50_median
= Table income_consumption_2017_headcount_40_median
= Table income_consumption_2017_unsmoothed
= Table income_consumption_2017_avg_shortfall_3000
= Table consumption_2017_avg_shortfall_50_median
= Table income_consumption_2017_headcount_685
= Table consumption_2017_decile2_avg
= Table consumption_2017_decile7_avg
= Table income_2017_headcount_365
= Table consumption_2017_polarization
= Table income_consumption_2017_income_gap_ratio_60_median
= Table income_consumption_2017_decile3_thr
= Table income_2017_headcount_215
= Table consumption_2017_decile6_thr
= Table income_consumption_2017_p50_p10_ratio
= Table income_2017_total_shortfall_365
= Table consumption_2017_poverty_gap_index_40_median
= Table consumption_2017_decile9_thr
= Table income_2017_headcount_ratio_3000
= Table income_2017_avg_shortfall_60_median
= Table income_consumption_2017_mld
= Table income_2017_decile1_share
= Table income_consumption_2017_p90_p50_ratio
= Table consumption_2011
= Table income_2017_s80_s20_ratio
= Table income_consumption_2017_avg_shortfall_365
= Table income_consumption_2017_avg_shortfall_685
= Table income_consumption_2017_total_shortfall_215
= Table income_consumption_2017_poverty_gap_index_685
= Table income_consumption_2017_poverty_gap_index_4000
= Table income_consumption_2017_decile4_avg
= Table income_consumption_2017_palma_ratio
= Table consumption_2017_poverty_gap_index_365
= Table income_consumption_2017_headcount_ratio_2000
= Table consumption_2017_pg
= Table income_consumption_2017_spl
= Table income_2017_poverty_gap_index_4000
= Table income_2017_income_gap_ratio_40_median
= Table income_consumption_2011_2017
= Table income_consumption_2017_median
= Table income_consumption_2017_decile8_share
= Table income_2011
= Table income_consumption_2017_decile1_share
= Table income_consumption_2017_decile3_avg
= Table consumption_2017_top1_share
= Table income_2017_top1_thr
= Table consumption_2017_avg_shortfall_60_median
= Table income_2017_income_gap_ratio_4000
= Table consumption_2017_headcount_ratio_100
= Table income_2017_avg_shortfall_2000
= Table income_consumption_2017_decile5_avg
= Table consumption_2017_decile6_share
= Table income_consumption_2017_headcount_ratio_685
= Table income_consumption_2017_pg
= Table income_2017_decile3_avg
= Table income_2017_middle40_share
= Table income_2017_income_gap_ratio_1000
= Table consumption_2017_middle40_share
= Table consumption_2017_income_gap_ratio_2000
= Table income_consumption_2017_headcount_ratio_50_median
= Table income_consumption_2017_income_gap_ratio_100
= Table income_2017_headcount_ratio_215
= Table income_consumption_2017_avg_shortfall_60_median
= Table consumption_2017_income_gap_ratio_60_median
= Table income_2017_poverty_gap_index_60_median
= Table consumption_2017_headcount_ratio_2000
= Table consumption_2017_p90_p10_ratio
= Table consumption_2017_total_shortfall_60_median
= Table income_2017_avg_shortfall_215
= Table income_2017_headcount_ratio_60_median
= Table income_2017_decile8_avg
= Table income_consumption_2017_headcount_ratio_215
= Table consumption_2017_decile9_share
= Table consumption_2017_bottom50_share
= Table income_2017_avg_shortfall_100
= Table consumption_2017_total_shortfall_3000
= Table income_2017_total_shortfall_1000
= Table consumption_2017_spl
= Table income_2017_decile4_share
= Table income_2017_p50_p10_ratio
= Table income_consumption_2017_poverty_gap_index_100
= Table income_2017_decile3_share
= Table income_consumption_2017_mean
= Table income_2017_poverty_gap_index_685
= Table income_2017_total_shortfall_215
= Table income_consumption_2017_top90_99_share
= Table income_2017_p90_p50_ratio
= Table income_2017_avg_shortfall_4000
= Table income_consumption_2017_income_gap_ratio_1000
= Table consumption_2017_mean
= Table income_2017_decile9_thr
= Table income_consumption_2017_headcount_ratio_3000
= Table income_2017_decile7_avg
= Table income_2017_poverty_gap_index_365
= Table consumption_2017_avg_shortfall_215
= Table income_consumption_2017_decile10_avg
= Table income_consumption_2017_middle40_share
= Table consumption_2017_headcount_100
= Table consumption_2017_headcount_4000
= Table consumption_2017_decile1_avg
= Table income_2017_decile2_thr
= Table income_2017_headcount_ratio_2000
= Table income_consumption_2017_headcount_4000
= Table income_2017_avg_shortfall_685
= Table income_2017_median
= Table income_consumption_2017_decile7_share
= Table income_consumption_2017_headcount_2000
= Table income_consumption_2017_decile2_share
= Table income_2017_total_shortfall_50_median
= Table consumption_2017_poverty_gap_index_1000
= Table consumption_2017_avg_shortfall_100
= Table income_consumption_2017_headcount_ratio_100
= Table consumption_2017_decile3_avg
= Table income_consumption_2017_income_gap_ratio_3000
= Table consumption_2017_top1_avg
= Table income_2017_bottom50_share
= Table consumption_2017_headcount_ratio_50_median
= Table consumption_2017_income_gap_ratio_4000
= Table income_2017_total_shortfall_40_median
= Table consumption_2017_decile7_thr
= Table consumption_2017_gini
= Table income_consumption_2017_decile7_thr
= Table income_consumption_2017_headcount_215
= Table income_2017_total_shortfall_3000
= Table income_consumption_2017_decile2_thr
= Table income_2017_decile6_avg
= Table income_2017_spr
= Table income_2017_headcount_ratio_50_median
= Table income_consumption_2017_headcount_ratio_60_median
= Table income_2017_polarization
= Table income_consumption_2017_headcount_3000
= Table income_consumption_2017_headcount_100
= Table consumption_2017_decile5_thr
= Table income_consumption_2017_headcount_1000
= Table income_2017_headcount_ratio_40_median
= Table income_2017_decile2_avg
= Table income_2017_decile5_thr
= Table consumption_2017_income_gap_ratio_3000
= Table consumption_2017_headcount_215
= Table consumption_2017_p90_p50_ratio
= Table consumption_2017_total_shortfall_2000
= Table income_consumption_2017_decile3_share
= Table consumption_2017_headcount_40_median
= Table income_consumption_2017_avg_shortfall_40_median
= Table income_consumption_2017_income_gap_ratio_50_median
= Table income_consumption_2017_poverty_gap_index_3000
= Table consumption_2017_total_shortfall_40_median
= Table consumption_2017_income_gap_ratio_1000
= Table consumption_2017_total_shortfall_100
= Table consumption_2017_headcount_2000
= Table consumption_2017_income_gap_ratio_40_median
= Table income_2017_avg_shortfall_40_median
= Table income_consumption_2017_poverty_gap_index_2000
= Table income_consumption_2017_gini
= Table income_consumption_2017_avg_shortfall_4000
= Table consumption_2017_headcount_ratio_3000
= Table consumption_2017_palma_ratio
= Table income_2017_income_gap_ratio_685
= Table income_consumption_2017_avg_shortfall_215
= Table income_consumption_2017_total_shortfall_40_median
= Table consumption_2017_poverty_gap_index_50_median
= Table consumption_2017_headcount_ratio_4000
= Table income_2017_poverty_gap_index_40_median
= Table consumption_2017_decile8_avg
= Table income_consumption_2017_decile6_avg
= Table consumption_2017_avg_shortfall_3000
= Table income_consumption_2017_decile7_avg
= Table consumption_2017_income_gap_ratio_50_median
= Table consumption_2017_top1_thr
= Table income_2017_mld
= Table income_consumption_2017_total_shortfall_2000
= Table income_consumption_2017_income_gap_ratio_2000
= Table consumption_2017_income_gap_ratio_365
= Table income_consumption_2017_top1_avg
= Table consumption_2017_avg_shortfall_4000
= Table income_2017_decile9_share
= Table consumption_2017_poverty_gap_index_3000
= Table income_2017_poverty_gap_index_1000
= Table consumption_2017_decile5_avg
= Table income_consumption_2017_decile9_thr
= Table income_consumption_2017_income_gap_ratio_215
= Table income_consumption_2017_avg_shortfall_2000
= Table income_2017_decile4_thr
= Table income_consumption_2017_decile2_avg
= Table income_consumption_2017_decile1_thr
= Table income_2017_palma_ratio
= Table income_consumption_2017_poverty_gap_index_50_median
= Table consumption_2017_decile3_share
= Table income_2017_headcount_ratio_365
= Table consumption_2017_poverty_gap_index_4000
= Table income_consumption_2017_poverty_gap_index_215
= Table consumption_2017_avg_shortfall_40_median
= Table income_2017_p90_p10_ratio
= Table income_2017_decile4_avg
= Table consumption_2017_total_shortfall_685
= Table consumption_2017_spr
= Table consumption_2017_decile5_share
= Table income_2017_headcount_100
= Table consumption_2011_2017
= Table consumption_2017_total_shortfall_4000
= Table income_consumption_2017_decile4_share
= Table income_2017_headcount_ratio_685
= Table income_2017_total_shortfall_100
= Table income_consumption_2017_total_shortfall_685
= Table consumption_2017_top90_99_share
= Table income_2017_income_gap_ratio_50_median
= Table income_2017_decile5_share
= Table consumption_2017_decile9_avg
= Table income_2017_top1_share
= Table income_2017_headcount_40_median
= Table consumption_2017_poverty_gap_index_2000
= Table percentiles_income_consumption_2011
= Table income_consumption_2017_total_shortfall_1000
= Table income_2017_headcount_4000
= Table consumption_2017_avg_shortfall_365
= Table income_2017_decile6_share
= Table income_consumption_2017_total_shortfall_365
= Table consumption_2017_p50_p10_ratio
= Table consumption_2017_median
= Table consumption_2017_decile8_share
= Table income_2017_spl
= Table income_consumption_2017_total_shortfall_4000
= Table income_2017_decile6_thr
= Table consumption_2017_decile4_thr
= Table income_2017_total_shortfall_685
= Table income_2017_poverty_gap_index_215
= Table income_2017_headcount_ratio_100
= Table consumption_2017_decile4_avg
= Table income_2017_headcount_3000
= Table income_consumption_2017_income_gap_ratio_685
= Table income_consumption_2017_decile1_avg
= Table income_consumption_2017_total_shortfall_60_median
= Table income_2017_headcount_60_median
= Table income_2017_headcount_ratio_1000
= Table income_consumption_2017_headcount_60_median
= Table income_consumption_2017_avg_shortfall_100
= Dataset garden/who/2024-05-20/vehicles
= Table vehicles
= Dataset garden/who/2024-09-09/flu_test
= Table flu_test
~ Dim country
- - Removed values: 12 / 72506 (0.02%)
date country
2024-12-02 Bahrain
2024-11-25 Burkina Faso
2024-11-18 Madagascar
2024-11-25 Saudi Arabia
2024-10-14 Somalia
~ Dim date
- - Removed values: 12 / 72506 (0.02%)
country date
Bahrain 2024-12-02
Burkina Faso 2024-11-25
Madagascar 2024-11-18
Saudi Arabia 2024-11-25
Somalia 2024-10-14
~ Column denomcombined (changed data)
- - Removed values: 12 / 72506 (0.02%)
country date denomcombined
Bahrain 2024-12-02 112
Burkina Faso 2024-11-25 39
Madagascar 2024-11-18 98
Saudi Arabia 2024-11-25 334
Somalia 2024-10-14 6
~ Changed values: 18 / 72506 (0.02%)
country date denomcombined - denomcombined +
Bangladesh 2024-11-18 403 238
Saudi Arabia 2024-11-11 354 344
Somalia 2024-09-02 17 13
Somalia 2024-10-07 13 6
Uganda 2024-10-28 69 68
~ Column pcnt_poscombined (changed data)
- - Removed values: 12 / 72506 (0.02%)
country date pcnt_poscombined
Bahrain 2024-12-02 19.642857
Burkina Faso 2024-11-25 7.692307
Madagascar 2024-11-18 6.122449
Saudi Arabia 2024-11-25 20.958084
Somalia 2024-10-14 66.666664
~ Changed values: 20 / 72506 (0.03%)
country date pcnt_poscombined - pcnt_poscombined +
Bangladesh 2024-11-18 3.970223 3.781512
Saudi Arabia 2024-11-11 28.248587 29.069767
Somalia 2024-09-02 11.764706 15.384615
Uganda 2024-11-11 8.791209 10.0
Uganda 2024-11-18 2.272727 5.555555
= Dataset garden/who/latest/monkeypox
= Table monkeypox
= Dataset garden/worldbank_wdi/2024-05-20/wdi
= Table wdi
= Dataset garden/wpf/2024-10-03/total_famines_by_year_decade
= Table total_famines_by_year_decade
Legend: +New ~Modified -Removed =Identical Details
Hint: Run this locally with etl diff REMOTE data/ --include yourdataset --verbose --snippetAutomatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-12-10 09:01:04 UTC |
…l into data-battery-cell-prices
…l into data-battery-cell-prices
…l into data-battery-cell-prices
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