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Link | rowid ▼ | slug | config | createdAt | updatedAt | lastEditedByUserId | lastEditedAt | commitMessage | tsv | isPublished |
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0 | 0 | 2020-review | {"blocks": [{"args": [], "type": "columns", "block": [{"name": "Day", "slug": "date", "type": "Date"}, {"name": "New Users", "slug": "new_users", "type": "Integer"}, {"name": "Total Users", "slug": "users", "type": "Integer"}, {"name": "Location", "slug": "entityName", "type": "Continent"}, {"name": "Sessions", "slug": "sessions", "type": "Integer"}, {"name": "Average time on page", "slug": "avg_time_on_page", "type": "Numeric"}, {"name": "Average session duration", "slug": "avg_session_duration", "type": "Numeric"}, {"name": "Pages per session", "slug": "pages_per_session", "type": "Numeric"}, {"name": "Events per session", "slug": "events_per_session", "type": "Numeric"}, {"name": "Page views", "slug": "page_views", "type": "Integer"}, {"name": "Unique page views", "slug": "unique_page_views", "type": "Integer"}]}, {"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "New users", "ySlugs": "new_users", "subtitle": "How many new users?", "Metric Dropdown": "New users"}, {"type": "LineChart", "title": "Users", "ySlugs": "users", "subtitle": "How many total users?", "Metric Dropdown": "Users"}, {"type": "LineChart", "title": "Sessions", "ySlugs": "sessions", "Metric Dropdown": "Sessions"}, {"type": "LineChart", "title": "Page views", "ySlugs": "page_views", "Metric Dropdown": "Page views"}, {"type": "LineChart", "title": "Unique page views", "ySlugs": "unique_page_views", "Metric Dropdown": "Unique page views"}, {"type": "LineChart", "title": "Pages per session", "ySlugs": "pages_per_session", "Metric Dropdown": "Pages per session"}, {"type": "LineChart", "title": "Events per session", "ySlugs": "events_per_session", "Metric Dropdown": "Events per session"}, {"type": "LineChart", "title": "Average time on page", "ySlugs": "avg_time_on_page", "Metric Dropdown": "Average time on page"}, {"type": "LineChart", "title": "Average session duration", "ySlugs": "avg_session_duration", "Metric Dropdown": "Average session duration"}]}, {"args": [], "type": "table", "block": [{"date": "1 Jan 2020", "users… |
2023-06-01 19:11:32 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle 2020 Review defaultView selection=~World isPublished false entityType Continent hasMapTab true columns slug name type date Day Date new_users New Users Integer users Total Users Integer entityName Location Continent sessions Sessions Integer avg_time_on_page Average time on page Numeric avg_session_duration Average session duration Numeric pages_per_session Pages per session Numeric events_per_session Events per session Numeric page_views Page views Integer unique_page_views Unique page views Integer graphers Metric Dropdown type ySlugs title subtitle New users LineChart new_users New users How many new users? Users LineChart users Users How many total users? Sessions LineChart sessions Sessions Page views LineChart page_views Page views Unique page views LineChart unique_page_views Unique page views Pages per session LineChart pages_per_session Pages per session Events per session LineChart events_per_session Events per session Average time on page LineChart avg_time_on_page Average time on page Average session duration LineChart avg_session_duration Average session duration table entityName date users new_users sessions avg_time_on_page avg_session_duration pages_per_session events_per_session page_views unique_page_views World 1 Jan 2020 28745 25049 31167 113.4456607 78.81079347 1.694677062 52818 46416 World 2 Jan 2020 39792 34853 43601 80.73153678 103.5636339 2.282585262 99523 81672 World 3 Jan 2020 39567 34496 43083 102.2931472 104.9209665 2.025601745 87269 69672 World 4 Jan 2020 60649 56270 64174 100.4163048 52.24876118 1.52028859 97563 81664 World 5 Jan 2020 70022 64936 73334 93.97787711 51.03556331 1.543035972 113157 92340 World 6 Jan 2020 53270 46879 57430 113.8346471 78.21177085 1.686992861 96884 80750 World 7 Jan 2020 50198 43479 54802 123.4856127 84.8886172 1.687420167 92474 78239 World 8 Jan 2020 50278 43398 54995 121.7427737 84.09373579 1.690717338 92981 80092 World 9 Jan 2020 47069 39412 51207 126.2364952 91.27693479 1.723026149 88231 75000 … | False |
1 | 1 | agricultural-productivity | {"blocks": [{"args": ["https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Agricultural%20total%20factor%20productivity%20(USDA)/Agricultural%20total%20factor%20productivity%20(USDA).csv", "agri"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"type": "LineChart", "ySlugs": "inputs", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "Metric Dropdown": "Index", "baseColorScheme": "owid-distinct", "Inputs, Output or Productivity Radio": "Inputs"}, {"type": "LineChart", "ySlugs": "output", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "Metric Dropdown": "Index", "baseColorScheme": "owid-distinct", "Inputs, Output or Productivity Radio": "Outputs"}, {"type": "LineChart", "ySlugs": "tfp", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "baseColorScheme": "owid-distinct", "Inputs, Output or Productivity Radio": "Productivity Index"}, {"type": "LineChart", "ySlugs": "output_quantity", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "Metric Dropdown": "Total output", "baseColorScheme": "owid-distinct", "Inputs, Output or Productivity Radio": "Outputs"}, {"type": "LineChart", "ySlugs": "crop_output_quantity", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "Metric Dropdown": "Crop output", "baseColorScheme": "owid-distinct", "Inputs, Output or Productivity Radio": "Outputs"}, {"type": "LineChart", "ySlugs": "animal_output_quantity", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "Metric Dropdown": "Animal product output", "baseColorScheme": "owid-distinct", "Inputs, Output or Productivity Radio": "Outputs"}, {"type": "LineChart", "ySlugs": "fish_output_quantity", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "Metric Dropdown": "Fish output", "baseColorScheme": "owid-distinct", "Inputs, Output or Productivity Radio": "Outputs"}, {"type": "LineChart", "ySlugs": "ag_land_quantity", "hasMapTab": "true", "tableSlug": "agri", "yScaleToggle": "true", "Met… |
2023-06-01 19:11:23 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Agricultural Productivity Data Explorer isPublished false selection World United States China United Kingdom India Nigeria explorerSubtitle hideAlertBanner true subNavId entityType country hasMapTab true table https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Agricultural%20total%20factor%20productivity%20(USDA)/Agricultural%20total%20factor%20productivity%20(USDA).csv agri hideAnnotationFieldsInTitle true graphers title subtitle Inputs, Output or Productivity Radio Metric Dropdown tableSlug ySlugs yScaleToggle xSlug baseColorScheme type hasMapTab grapherId sourceDesc note Inputs Index agri inputs true owid-distinct LineChart true Outputs Index agri output true owid-distinct LineChart true Productivity Index agri tfp true owid-distinct LineChart true Outputs Total output agri output_quantity true owid-distinct LineChart true Outputs Crop output agri crop_output_quantity true owid-distinct LineChart true Outputs Animal product output agri animal_output_quantity true owid-distinct LineChart true Outputs Fish output agri fish_output_quantity true owid-distinct LineChart true Inputs Agricultural land agri ag_land_quantity true owid-distinct LineChart true Inputs Labor agri labor_quantity true owid-distinct LineChart true Inputs Capital agri capital_quantity true owid-distinct LineChart true Inputs Machinery agri machinery_quantity true owid-distinct LineChart true Inputs Livestock agri livestock_quantity true owid-distinct LineChart true Inputs Fertilizer agri fertilizer_quantity true owid-distinct LineChart true Inputs Animal feed agri animal_feed_quantity true owid-distinct LineChart true Inputs Cropland agri cropland_quantity true owid-distinct LineChart true Inputs Pasture agri pasture_quantity true owid-distinct LineChart true Inputs Area equipped for irrigation agri irrigation_quantity true owid-distinct LineChart true columns agri slug name type unit shortUnit transform annotationsColumnSlug notes sourceNam… | False |
2 | 2 | air-pollution | {"name": ["air-pollution"], "blocks": [{"args": [], "type": "graphers", "block": [{"title": "Emissions of air pollutants from all sectors", "subtitle": "Measured in tonnes and split by major pollutant.", "yAxisMin": "0", "hasMapTab": "false", "defaultView": "true", "facetYDomain": "independent", "yVariableIds": "grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_nh3__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_bc__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_co__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_ch4__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_nox__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_n2o__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_nmvoc__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_oc__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_so2__sector_all_sectors", "Sector Dropdown": "All sectors (total)", "Pollutant Dropdown": "All pollutants", "Per capita Checkbox": "false", "selectedFacetStrategy": "metric"}, {"title": "Per capita emissions of air pollutants from all sectors", "subtitle": "Measured in kilograms and split by major pollutant.", "yAxisMin": "0", "hasMapTab": "false", "defaultView": "false", "facetYDomain": "independent", "yVariableIds": "grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions_per_capita__pollutant_nh3__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions_per_capita__pollutant_bc__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pol… |
2023-06-01 19:11:32 | 2025-04-14 15:55:24 | 74 | 2025-04-14 15:55:24 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'emissions/latest/air_pollution#air-pollution'. explorerTitle Air Pollution explorerSubtitle Explore historical emissions of air pollutants across the world. isPublished true selection China India United Kingdom United States World hideAlertBanner true subNavId thumbnail https://assets.ourworldindata.org/uploads/2022/08/Air-Pollution-Data-Explorer.png wpBlockId 52429 hasMapTab true hideAnnotationFieldsInTitle true name air-pollution yScaleToggle true graphers yVariableIds Pollutant Dropdown Sector Dropdown Per capita Checkbox hasMapTab title subtitle selectedFacetStrategy facetYDomain yAxisMin defaultView grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_nh3__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_bc__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_co__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_ch4__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_nox__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_n2o__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_nmvoc__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_oc__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions__pollutant_so2__sector_all_sectors All pollutants All sectors (total) false false Emissions of air pollutants from all sectors Measured in tonnes and split by major pollutant. metric independent 0 true grapher/emissions/2025-02-12/ceds_air_pollutants/ceds_air_pollutants#emissions_per_capita__pollutant_nh3__sector_all_sectors grapher/emissions/2025-02-12/ceds_air_pollutants/ce… | True |
3 | 3 | air-pollution-test | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Emissions of air pollutants", "yAxisMin": "0", "hasMapTab": "false", "facetYDomain": "independent", "yScaleToggle": "true", "yVariableIds": "900429 900430 900431 900432 900433 900434 900435", "Sector Dropdown": "From all sectors (Total)", "baseColorScheme": "owid-distinct", "Pollutant Dropdown": "All pollutants", "Per capita Checkbox": "false", "selectedFacetStrategy": "metric"}, {"type": "LineChart", "title": "Per capita emissions of air pollutants", "yAxisMin": "0", "hasMapTab": "false", "facetYDomain": "independent", "yScaleToggle": "true", "yVariableIds": "900436 900437 900438 900439 900440 900441 900442", "Sector Dropdown": "From all sectors (Total)", "baseColorScheme": "owid-distinct", "Pollutant Dropdown": "All pollutants", "Per capita Checkbox": "true", "selectedFacetStrategy": "metric"}, {"type": "LineChart", "title": "Nitrogen oxide emissions", "subtitle": "Nitrogen oxides (NOx) are gases that are mainly formed during the burning of fossil fuels. Exposure to NOx gases can have negative impacts on respiratory health. NOx gases can also lead to the formation of ozone – another air pollutant.", "yAxisMin": "0", "hasMapTab": "true", "yScaleToggle": "true", "yVariableIds": "900429", "Sector Dropdown": "From all sectors (Total)", "baseColorScheme": "owid-distinct", "Pollutant Dropdown": "Nitrogen oxides (NOx)", "Per capita Checkbox": "false"}, {"type": "LineChart", "title": "Sulphur dioxide emissions", "subtitle": "Sulphur dioxide (SO₂) is an air pollutant formed from the burning of fuels that contain sulphur, such as coal. SO₂ is one of the main chemicals that forms acid rain.", "yAxisMin": "0", "hasMapTab": "true", "yScaleToggle": "true", "yVariableIds": "900430", "Sector Dropdown": "From all sectors (Total)", "baseColorScheme": "owid-distinct", "Pollutant Dropdown": "Sulphur dioxide (SO₂)", "Per capita Checkbox": "false"}, {"type": "LineChart", "title": "Carbon monoxide emissions", "subtitle": "Carbon monoxide (CO) is a … |
2023-06-01 19:11:24 | 2025-04-04 04:21:30 | 14 | 2024-04-26 15:33:15 | Updated air-pollution-test | explorerTitle Air Pollution Test explorerSubtitle isPublished false selection United States China India United Kingdom Germany hasMapTab true graphers yVariableIds title subtitle Pollutant Dropdown Sector Dropdown Per capita Checkbox yScaleToggle yAxisMin baseColorScheme type hasMapTab selectedFacetStrategy facetYDomain 900429 900430 900431 900432 900433 900434 900435 Emissions of air pollutants All pollutants From all sectors (Total) false true 0 owid-distinct LineChart false metric independent 900436 900437 900438 900439 900440 900441 900442 Per capita emissions of air pollutants All pollutants From all sectors (Total) true true 0 owid-distinct LineChart false metric independent 900429 Nitrogen oxide emissions Nitrogen oxides (NOx) are gases that are mainly formed during the burning of fossil fuels. Exposure to NOx gases can have negative impacts on respiratory health. NOx gases can also lead to the formation of ozone – another air pollutant. Nitrogen oxides (NOx) From all sectors (Total) false true 0 owid-distinct LineChart true 900430 Sulphur dioxide emissions Sulphur dioxide (SO₂) is an air pollutant formed from the burning of fuels that contain sulphur, such as coal. SO₂ is one of the main chemicals that forms acid rain. Sulphur dioxide (SO₂) From all sectors (Total) false true 0 owid-distinct LineChart true 900431 Carbon monoxide emissions Carbon monoxide (CO) is a pollutant produced from the incomplete combustion of carbon-based fuels such as oil, gas, wood, and coal. Carbon monoxide (CO) From all sectors (Total) false true 0 owid-distinct LineChart true 900432 Organic carbon emissions Organic carbon molecules are formed from the incomplete burning of organic materials. This can come from the burning of fossil fuels (which are carbon-based organic material) or biomass. Organic carbon aerosols can also be suspended in the air from sources such as vehicle tyres and roads. Organic carbon molecules can contribute to particulate matter pollution, with negative impacts on human health. Organic carbon (… | False |
4 | 4 | animal-welfare | {"blocks": [{"args": [], "type": "graphers", "block": [{"yVariableIds": "grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_all_land_animals__per_capita_false__estimate", "Animal Dropdown": "All land animals", "Metric Dropdown": "Animals slaughtered", "Per capita Checkbox": "false"}, {"yVariableIds": "grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed_per_capita__metric_animals_killed__animal_all_land_animals__per_capita_true__estimate", "Animal Dropdown": "All land animals", "Metric Dropdown": "Animals slaughtered", "Per capita Checkbox": "true"}, {"yVariableIds": "grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_buffaloes__per_capita_false__estimate", "Animal Dropdown": "Buffaloes", "Metric Dropdown": "Animals slaughtered", "Per capita Checkbox": "false"}, {"yVariableIds": "grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed_per_capita__metric_animals_killed__animal_buffaloes__per_capita_true__estimate", "Animal Dropdown": "Buffaloes", "Metric Dropdown": "Animals slaughtered", "Per capita Checkbox": "true"}, {"yVariableIds": "grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_camels__per_capita_false__estimate", "Animal Dropdown": "Camels", "Metric Dropdown": "Animals slaughtered", "Per capita Checkbox": "false"}, {"yVariableIds": "grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed_per_capita__metric_animals_killed__animal_camels__per_capita_true__estimate", "Animal Dropdown": "Camels", "Metric Dropdown": "Animals slaughtered", "Per capita Checkbox": "true"}, {"yVariableIds": "grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_cattle__per_capita_false__estimate", "Animal Dropdown": "Cat… |
2023-08-15 11:25:17 | 2025-04-14 15:55:24 | 74 | 2025-04-14 15:55:24 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'animal_welfare/latest/animal_welfare#animal-welfare'. explorerTitle Animal Welfare isPublished true entityType country explorerSubtitle Explore the number of animals slaughtered and welfare impacts. selection World United States China India Brazil United Kingdom hasMapTab true graphers yVariableIds ySlugs Metric Dropdown Animal Dropdown Estimate Dropdown Per capita Checkbox title subtitle hasMapTab type grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_all_land_animals__per_capita_false__estimate Animals slaughtered All land animals false grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed_per_capita__metric_animals_killed__animal_all_land_animals__per_capita_true__estimate Animals slaughtered All land animals true grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_buffaloes__per_capita_false__estimate Animals slaughtered Buffaloes false grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed_per_capita__metric_animals_killed__animal_buffaloes__per_capita_true__estimate Animals slaughtered Buffaloes true grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_camels__per_capita_false__estimate Animals slaughtered Camels false grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed_per_capita__metric_animals_killed__animal_camels__per_capita_true__estimate Animals slaughtered Camels true grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed__metric_animals_killed__animal_cattle__per_capita_false__estimate Animals slaughtered Cattle false grapher/animal_welfare/2025-03-26/animals_used_for_food/animals_used_for_food#n_animals_killed_per_capita__metric_an… | True |
5 | 5 | biofuels | {"blocks": [{"args": ["https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Land%20use%20for%20biofuels/Land%20use%20for%20biofuels.csv", "biofuels"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"tab": "map", "grapherId": "1400", "Metric Dropdown": "Production", "Biofuel or Crop Radio": "All biofuels"}, {"tab": "map", "type": "LineChart", "title": "Land used for the production of biofuels", "ySlugs": "total_land_biofuels", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "biofuels", "yScaleToggle": "true", "Metric Dropdown": "Land used for biofuels", "timelineMinTime": "2010", "Biofuel or Crop Radio": "All biofuels"}, {"tab": "map", "type": "LineChart", "title": "Share of cropland used for the production of biofuels", "ySlugs": "total_cropland_share_biofuels", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "biofuels", "yScaleToggle": "true", "Metric Dropdown": "% of cropland used for biofuels", "timelineMinTime": "2010", "Biofuel or Crop Radio": "All biofuels"}, {"tab": "map", "type": "LineChart", "title": "Cereals used for biofuel production", "ySlugs": "cereal_biofuels", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "biofuels", "yScaleToggle": "true", "Metric Dropdown": "Quantity used for biofuels", "timelineMinTime": "2010", "Crop used Dropdown": "Cereals", "Biofuel or Crop Radio": "Select a crop"}, {"tab": "map", "type": "LineChart", "title": "Maize used for biofuel production", "ySlugs": "maize_biofuels", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "biofuels", "yScaleToggle": "true", "Metric Dropdown": "Quantity used for biofuels", "timelineMinTime": "2010", "Crop used Dropdown": "Maize", "Biofuel or Crop Radio": "Select a crop"}, {"tab": "map", "type": "LineChart", "title": "Rice used for biofuel production", "ySlugs": "rice_biofuels", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "biofuels", "yScaleToggle": "true", "Metric Dropdown": "Quantity used for biofuels", "timelineMinTime": "2010", "Crop used Dropdown": "Rice", "Biofuel or Crop… |
2023-06-01 19:11:27 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Biofuels explorerSubtitle Explore global production and land use of biofuels. isPublished false selection World United States China India United Kingdom Malaysia Germany explorerSubtitle hideAlertBanner true subNavId wpBlockId thumbnail hideAnnotationFieldsInTitle false table https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Land%20use%20for%20biofuels/Land%20use%20for%20biofuels.csv biofuels graphers title subtitle Biofuel or Crop Radio Crop used Dropdown Metric Dropdown tableSlug ySlugs yScaleToggle baseColorScheme type grapherId hasMapTab yAxisMin sourceDesc tab defaultView timelineMinTime All biofuels Production 1400 map Land used for the production of biofuels All biofuels Land used for biofuels biofuels total_land_biofuels true LineChart true 0 map 2010 Share of cropland used for the production of biofuels All biofuels % of cropland used for biofuels biofuels total_cropland_share_biofuels true LineChart true 0 map 2010 Cereals used for biofuel production Select a crop Cereals Quantity used for biofuels biofuels cereal_biofuels true LineChart true 0 map 2010 Maize used for biofuel production Select a crop Maize Quantity used for biofuels biofuels maize_biofuels true LineChart true 0 map 2010 Rice used for biofuel production Select a crop Rice Quantity used for biofuels biofuels rice_biofuels true LineChart true 0 map 2010 Wheat used for biofuel production Select a crop Wheat Quantity used for biofuels biofuels wheat_biofuels true LineChart true 0 map 2010 Sorghum used for biofuel production Select a crop Sorghum Quantity used for biofuels biofuels sorghum_biofuels true LineChart true 0 map 2010 Millet used for biofuel production Select a crop Millet Quantity used for biofuels biofuels millet_biofuels true LineChart true 0 map 2010 Oats used for biofuel production Select a crop Oats Quantity used for biofuels biofuels oats_biofuels true LineChart true 0 map 2010 Barley used for biofuel production Select a c… | False |
6 | 6 | chartbook_test_november | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Inequality in Germany", "ySlugs": "Overall_Income_Inequality Top_Income_Share Poverty_Rate Dispersion_of_Earnings Wealth_Inequality", "Country Dropdown": "Germany"}]}, {"args": [], "type": "columns", "block": [{"name": "Measure", "slug": "legend", "type": "EntityName"}, {"name": "Year", "slug": "year", "type": "Year"}, {"name": "Overall Inequality", "slug": "Overall_Income_Inequality", "type": "Numeric"}, {"name": "Top Income Shares", "slug": "Top_Income_Share", "type": "Numeric"}, {"name": "Poverty", "slug": "Poverty_Rate", "type": "Numeric"}, {"name": "Dispersion of Earnings", "slug": "Dispersion_of_Earnings", "type": "Numeric"}, {"name": "Wealth Inequality", "slug": "Wealth_Inequality", "type": "Numeric"}]}, {"args": [], "type": "table", "block": [{"year": "1966", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "31.1"}, {"year": "1971", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "27"}, {"year": "1976", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "21.5"}, {"year": "1981", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "20.9"}, {"year": "1986", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "20.4"}, {"year": "1987", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "20.2"}, {"year": "1988", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "20.7"}, {"year": "1989", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "21"}, {"year": "1990", "legend": "Gini coefficient - Equivalised disposable household income", "Overall_Income_Inequality": "20.8"}, {"year": "1991", "legend": "Gini coefficient - Equivalised di… |
2023-06-01 19:11:25 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Chartbook of Economic Inequality isPublished false graphers Country Dropdown type ySlugs title Germany LineChart Overall_Income_Inequality Top_Income_Share Poverty_Rate Dispersion_of_Earnings Wealth_Inequality Inequality in Germany columns slug name type legend Measure EntityName year Year Year Overall_Income_Inequality Overall Inequality Numeric Top_Income_Share Top Income Shares Numeric Poverty_Rate Poverty Numeric Dispersion_of_Earnings Dispersion of Earnings Numeric Wealth_Inequality Wealth Inequality Numeric table year legend Overall_Income_Inequality Top_Income_Share Poverty_Rate Dispersion_of_Earnings Wealth_Inequality 1966 Gini coefficient - Equivalised disposable household income 31.1 1971 Gini coefficient - Equivalised disposable household income 27 1976 Gini coefficient - Equivalised disposable household income 21.5 1981 Gini coefficient - Equivalised disposable household income 20.9 1986 Gini coefficient - Equivalised disposable household income 20.4 1987 Gini coefficient - Equivalised disposable household income 20.2 1988 Gini coefficient - Equivalised disposable household income 20.7 1989 Gini coefficient - Equivalised disposable household income 21 1990 Gini coefficient - Equivalised disposable household income 20.8 1991 Gini coefficient - Equivalised disposable household income 20.7 1992 Gini coefficient - Equivalised disposable household income 20.5 1993 Gini coefficient - Equivalised disposable household income 20.9 1994 Gini coefficient - Equivalised disposable household income 20.8 1995 Gini coefficient - Equivalised disposable household income 21.4 1996 Gini coefficient - Equivalised disposable household income 21.9 1997 Gini coefficient - Equivalised disposable household income 23 1998 Gini coefficient - Equivalised disposable household income 23.8 1999 Gini coefficient - Equivalised disposable household income 24.5 2000 Gini coefficient - Equivalised disposable household income 24.9 2001 Gini coefficient - Equivalised disposable househo… | False |
7 | 7 | chartbook-of-inequality---test | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Inequality in the United States", "ySlugs": "gini top1 poverty_rate_1 poverty_rate_2 p90_50_ratio top1_1 top1_2", "subtitle": "ineq", "yScaleToggle": "true", "facet this thing Checkbox": "true"}, {"type": "LineChart", "title": "Inequality in the United States", "ySlugs": "gini top1 poverty_rate_1 poverty_rate_2 p90_50_ratio top1_1 top1_2", "subtitle": "ineq", "yScaleToggle": "true", "facet this thing Checkbox": "false"}]}, {"args": ["https://docs.google.com/spreadsheets/d/1_yF_x1Ip58zHDdWBklS5OaNCJYO2CNtk5ns9W9hp4wo/export?format=csv", "US"], "type": "table", "block": null}, {"args": ["US"], "type": "columns", "block": [{"name": "Equivalised gross household income", "slug": "gini", "type": "Numeric"}, {"name": "Share of top 1 per cent in gross income (tax units, excluding capital gains) (*)", "slug": "top1", "type": "Numeric"}, {"name": "Per cent living in households with pre-tax cash income below official poverty line", "slug": "poverty_rate_1", "type": "Numeric"}, {"name": "Per cent living in households with equivalised disposable income below 50 per cent median (*)", "slug": "poverty_rate_2", "type": "Numeric"}, {"name": "Earnings at top decile as % median (*)", "slug": "p90_50_ratio", "type": "Numeric"}, {"name": "Share of top 1 per cent in total net wealth (individuals) (*)", "slug": "top1_1", "type": "Numeric"}, {"name": "Share of top 1 per cent in total net worth (survey data: households) (*)", "slug": "top1_2", "type": "Numeric"}, {"name": "Country", "slug": "country", "type": "EntityName"}, {"name": "Year", "slug": "year", "type": "Year"}]}], "_version": 1, "selection": ["United States"], "isPublished": "false", "hideControls": "false", "explorerTitle": "Chartbook of Inequality", "explorerSubtitle": "It's a demo"} |
2023-06-01 19:11:24 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Chartbook of Inequality explorerSubtitle It's a demo selection United States hideControls false graphers title ySlugs subtitle type yScaleToggle facet this thing Checkbox Inequality in the United States gini top1 poverty_rate_1 poverty_rate_2 p90_50_ratio top1_1 top1_2 ineq LineChart true true Inequality in the United States gini top1 poverty_rate_1 poverty_rate_2 p90_50_ratio top1_1 top1_2 ineq LineChart true false table https://docs.google.com/spreadsheets/d/1_yF_x1Ip58zHDdWBklS5OaNCJYO2CNtk5ns9W9hp4wo/export?format=csv US columns US slug type name gini Numeric Equivalised gross household income top1 Numeric Share of top 1 per cent in gross income (tax units, excluding capital gains) (*) poverty_rate_1 Numeric Per cent living in households with pre-tax cash income below official poverty line poverty_rate_2 Numeric Per cent living in households with equivalised disposable income below 50 per cent median (*) p90_50_ratio Numeric Earnings at top decile as % median (*) top1_1 Numeric Share of top 1 per cent in total net wealth (individuals) (*) top1_2 Numeric Share of top 1 per cent in total net worth (survey data: households) (*) country EntityName Country year Year Year isPublished false | False |
8 | 8 | chartbook-of-inequality---testingjoe | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Inequality in the United States", "ySlugs": "measure_group_1_data measure_group_2_data", "subtitle": "ineq", "tableSlug": "US", "facet this thing Checkbox": "true"}]}, {"args": ["https://docs.google.com/spreadsheets/d/1Y9ihOG8rR-Te_JJe35jS-SweiyDelie9_tkxgq7K5jg/export?format=csv", "US"], "type": "table", "block": null}, {"args": ["US"], "type": "columns", "block": [{"slug": "measure_group_1_data", "type": "Numeric"}, {"slug": "measure_group_2_data", "type": "Numeric"}, {"name": "Measure", "slug": "measure", "type": "EntityName"}, {"name": "Year", "slug": "year", "type": "Year"}]}, {"args": ["https://docs.google.com/spreadsheets/d/1_yF_x1Ip58zHDdWBklS5OaNCJYO2CNtk5ns9W9hp4wo/export?format=csv", "Countries"], "type": "table", "block": null}, {"args": ["Countries"], "type": "columns", "block": [{"name": "_", "slug": "measure_group_1_data", "type": "Numeric"}, {"name": "__", "slug": "measure_group_2_data", "type": "Numeric"}, {"name": "Measure", "slug": "measure", "type": "String"}, {"name": "Year", "slug": "year", "type": "Year"}, {"name": "Country", "slug": "country", "type": "EntityName"}]}], "_version": 1, "selection": ["Equivalised gross household income", "Share of top 1 per cent in gross income (tax units, excluding capital gains) (*)", "Per cent living in households with pre-tax cash income below official poverty line", "Per cent living in households with equivalised disposable income below 50 per cent median (*)", "Earnings at top decile as % median (*)", "Share of top 1 per cent in total net wealth (individuals) (*)", "Share of top 1 per cent in total net worth (survey data: households) (*)"], "isPublished": "false", "hideControls": "true", "explorerTitle": "Chartbook of Inequality", "explorerSubtitle": "It's a demo"} |
2023-06-01 19:11:29 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Chartbook of Inequality explorerSubtitle It's a demo selection Equivalised gross household income Share of top 1 per cent in gross income (tax units, excluding capital gains) (*) Per cent living in households with pre-tax cash income below official poverty line Per cent living in households with equivalised disposable income below 50 per cent median (*) Earnings at top decile as % median (*) Share of top 1 per cent in total net wealth (individuals) (*) Share of top 1 per cent in total net worth (survey data: households) (*) hideControls true graphers title ySlugs subtitle type yScaleToggle facet this thing Checkbox tableSlug Inequality in the United States measure_group_1_data measure_group_2_data ineq LineChart true US table https://docs.google.com/spreadsheets/d/1Y9ihOG8rR-Te_JJe35jS-SweiyDelie9_tkxgq7K5jg/export?format=csv US columns US slug type name measure_group_1_data Numeric measure_group_2_data Numeric measure EntityName Measure year Year Year table https://docs.google.com/spreadsheets/d/1_yF_x1Ip58zHDdWBklS5OaNCJYO2CNtk5ns9W9hp4wo/export?format=csv Countries columns Countries slug type name measure_group_1_data Numeric _ measure_group_2_data Numeric __ measure String Measure year Year Year country EntityName Country isPublished false | False |
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2023-06-01 19:11:29 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Chartbook of Inequality explorerSubtitle It's a demo selection Equivalised gross household income Share of top 1 per cent in gross income (tax units, excluding capital gains) (*) Per cent living in households with pre-tax cash income below official poverty line Per cent living in households with equivalised disposable income below 50 per cent median (*) Earnings at top decile as % median (*) Share of top 1 per cent in total net wealth (individuals) (*) Share of top 1 per cent in total net worth (survey data: households) (*) hideControls false graphers title ySlugs subtitle switch Radio type yScaleToggle facet this thing Checkbox tableSlug Inequality in the United States measure_group_1_data measure_group_2_data inequality yes LineChart true Copy_of_Ernst More inequality measure_group_1_data measure_group_2_data ineq no LineChart false joe table https://docs.google.com/spreadsheets/d/1oXYXvzoV2uG1p762voxBeojgY2aTmss40lJxmrVgs08/export?format=csv joe columns joe slug type name measure_group_1_data Numeric _ measure_group_2_data Numeric __ measure EntityName Measure year Year Year table https://docs.google.com/spreadsheets/d/1_yF_x1Ip58zHDdWBklS5OaNCJYO2CNtk5ns9W9hp4wo/export?format=csv Sheet1 columns Sheet1 slug type name measure_group_1_data Numeric _ measure_group_2_data Numeric __ measure String Measure year Year Year country EntityName Country table https://docs.google.com/spreadsheets/d/1wRZay477xAOVqfsRJCk91adbb99ECTGLGeGdax1-5bs/export?format=csv Copy_of_Ernst columns Copy_of_Ernst slug type name measure_group_1_data Numeric _ measure_group_2_data Numeric __ measure EntityName Measure year Year Year isPublished false | False |
10 | 10 | climate-change | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Global warming: annual temperature anomaly", "yAxisMin": "auto", "hasMapTab": "false", "yScaleToggle": "false", "yVariableIds": "grapher/climate/2025-03-17/climate_change_impacts_annual/climate_change_impacts_annual#near_surface_temperature_anomaly", "Metric Dropdown": "Temperature anomaly", "baseColorScheme": "owid-distinct", "relatedQuestionUrl": "https://ourworldindata.org/explorers/climate-change", "relatedQuestionText": "Data explorer: how is the Earth's climate changing?", "Long-run series Checkbox": "false"}, {"type": "LineChart", "title": "Global warming: monthly sea surface temperature anomaly", "subtitle": "This is measured at a nominal depth of 20cm, and given relative to the average temperature from the period of 1961 - 1990.", "yAxisMin": "auto", "hasMapTab": "false", "yScaleToggle": "false", "yVariableIds": "grapher/climate/2025-03-17/climate_change_impacts_monthly/climate_change_impacts_monthly#sea_temperature_anomaly", "Metric Dropdown": "Sea surface temperature anomaly", "baseColorScheme": "owid-distinct", "relatedQuestionUrl": "https://ourworldindata.org/explorers/climate-change", "relatedQuestionText": "Data explorer: how is the Earth's climate changing?", "Long-run series Checkbox": "false"}, {"note": "Heat content is shown for four sources: Commonwealth Scientific and Industrial Research Organisation (CSIRO); Institute of Atmospheric Physics (IAP); National Oceanic and Atmospheric Administration (NOAA); and Meteorological Research Institute (MRI).", "type": "LineChart", "title": "Global warming: heat content in the top 700 meters of the world's oceans", "subtitle": "Ocean heat content is measured relative to the 1971–2000 average, which is set at zero for reference. It is measured in 10²² joules. For reference, 10²² joules are equal to approximately 17 times the amount of energy used globally every year.", "yAxisMin": "auto", "hasMapTab": "false", "yScaleToggle": "false", "yVariableIds": "grapher/climate/20… |
2023-06-01 19:11:23 | 2025-04-04 16:28:07 | 74 | 2025-04-04 13:42:22 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'climate/latest/climate_change#climate-change'. explorerTitle Climate Change Impacts isPublished true entityType region explorerSubtitle Explore the impacts of global climate change. selection World Antarctica Gulkana Glacier Lemon Creek Glacier North America South Cascade Glacier Wolverine Glacier Hawaii Arctic Ocean subNavId co2 subNavCurrentId climate-impacts wpBlockId 45009 hasMapTab false hideAnnotationFieldsInTitle true graphers yVariableIds Metric Dropdown Long-run series Checkbox relatedQuestionUrl relatedQuestionText title yScaleToggle yAxisMin baseColorScheme type hasMapTab subtitle note hideAnnotationFieldsInTitle grapher/climate/2025-03-17/climate_change_impacts_annual/climate_change_impacts_annual#near_surface_temperature_anomaly Temperature anomaly false https://ourworldindata.org/explorers/climate-change Data explorer: how is the Earth's climate changing? Global warming: annual temperature anomaly false auto owid-distinct LineChart false grapher/climate/2025-03-17/climate_change_impacts_monthly/climate_change_impacts_monthly#sea_temperature_anomaly Sea surface temperature anomaly false https://ourworldindata.org/explorers/climate-change Data explorer: how is the Earth's climate changing? Global warming: monthly sea surface temperature anomaly false auto owid-distinct LineChart false This is measured at a nominal depth of 20cm, and given relative to the average temperature from the period of 1961 - 1990. grapher/climate/2025-03-17/climate_change_impacts_annual/climate_change_impacts_annual#ocean_heat_content_csiro_700m grapher/climate/2025-03-17/climate_change_impacts_annual/climate_change_impacts_annual#ocean_heat_content_iap_700m grapher/climate/2025-03-17/climate_change_impacts_annual/climate_change_impacts_annual#ocean_heat_content_mri_700m grapher/climate/2025-03-17/climate_change_impacts_annual/climate_change_impacts_annual#ocean_heat_content_noaa_700m Ocean heat content (top 700m) false https://ourworldindata.org/explorers/cl… | True |
11 | 11 | co2 | {"tab": "chart", "blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "486", "Count Dropdown": "Per capita", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "All fossil emissions"}, {"grapherId": "488", "Count Dropdown": "Per country", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "All fossil emissions", "Relative to world total Checkbox": "false"}, {"grapherId": "3219", "Count Dropdown": "Per country", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "All fossil emissions", "Relative to world total Checkbox": "true"}, {"grapherId": "485", "Count Dropdown": "Cumulative", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "All fossil emissions", "Relative to world total Checkbox": "false"}, {"grapherId": "3218", "Count Dropdown": "Cumulative", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "All fossil emissions", "Relative to world total Checkbox": "true"}, {"grapherId": "4267", "Count Dropdown": "Per kWh of energy", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "All fossil emissions"}, {"grapherId": "530", "Count Dropdown": "Per $ of GDP", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "All fossil emissions"}, {"grapherId": "6266", "Count Dropdown": "Per capita", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "Land use change"}, {"grapherId": "6265", "Count Dropdown": "Per country", "Accounting Radio": "Territorial", "Gas or Warming Dropdown": "CO₂", "Fuel or Land Use Change Dropdown": "Land use change", "Relative to world total Checkbox": "false"}, {"grapherId": "6267", "Count Dropdown": "Per country", "Accounting Radio": "Territorial", "Gas or Wa… |
2023-06-01 19:11:31 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle CO₂ and Greenhouse Gas Emissions explorerSubtitle Explore data on greenhouse gas emissions. isPublished true downloadDataLink https://github.com/owid/co2-data selection China United States India United Kingdom World subNavId co2 subNavCurrentId co2-data-explorer wpBlockId 36228 thumbnail https://assets.ourworldindata.org/uploads/2022/12/CO2-data-explorer-Thumbnail.png tab chart graphers grapherId Gas or Warming Dropdown Accounting Radio Fuel or Land Use Change Dropdown Count Dropdown Relative to world total Checkbox 486 CO₂ Territorial All fossil emissions Per capita 488 CO₂ Territorial All fossil emissions Per country false 3219 CO₂ Territorial All fossil emissions Per country true 485 CO₂ Territorial All fossil emissions Cumulative false 3218 CO₂ Territorial All fossil emissions Cumulative true 4267 CO₂ Territorial All fossil emissions Per kWh of energy 530 CO₂ Territorial All fossil emissions Per $ of GDP 6266 CO₂ Territorial Land use change Per capita 6265 CO₂ Territorial Land use change Per country false 6267 CO₂ Territorial Land use change Per country true 6268 CO₂ Territorial Land use change Cumulative false 6269 CO₂ Territorial Land use change Cumulative true 6271 CO₂ Territorial Fossil + land use change Per capita 6270 CO₂ Territorial Fossil + land use change Per country false 6272 CO₂ Territorial Fossil + land use change Per country true 6273 CO₂ Territorial Fossil + land use change Cumulative false 6274 CO₂ Territorial Fossil + land use change Cumulative true 3621 CO₂ Consumption-based Per country 3488 CO₂ Consumption-based Per capita 4331 CO₂ Consumption-based Per $ of GDP 696 CO₂ Consumption-based Share of emissions embedded in trade 4250 CO₂ Territorial Coal Per country 4251 CO₂ Territorial Oil Per country 4253 CO₂ Territorial Gas Per country 4255 CO₂ Territorial Cement Per country 4332 CO₂ Territorial Flaring Per country 4249 CO₂ Territorial Coal Per capita 4252 CO₂ Territorial Oil Per capita 4254 CO₂ Territorial Gas Per capita 4256 CO₂ Territorial C… | True |
12 | 12 | commodity-prices | {"tab": "chart", "blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Wheat prices", "ySlugs": "wheat", "subtitle": "Wheat prices are measured in US dollars per kilogram. This is not adjusted for inflation.", "tableSlug": "commodities", "yScaleToggle": "true", "baseColorScheme": "owid-distinct", "Commodity Dropdown": "Wheat"}, {"type": "LineChart", "title": "Corn prices", "ySlugs": "corn", "subtitle": "Corn (known as maize in the UK) prices are measured in US dollars per kilogram. This is not adjusted for inflation.", "tableSlug": "commodities", "yScaleToggle": "true", "baseColorScheme": "owid-distinct", "Commodity Dropdown": "Corn (maize)"}, {"type": "LineChart", "title": "Soybean prices", "ySlugs": "soybean", "subtitle": "Soybean prices are measured in US dollars per kilogram. This is not adjusted for inflation.", "tableSlug": "commodities", "yScaleToggle": "true", "baseColorScheme": "owid-distinct", "Commodity Dropdown": "Soybeans"}, {"type": "LineChart", "title": "Oat prices", "ySlugs": "oats", "subtitle": "Oat prices are measured in US dollars per kilogram. This is not adjusted for inflation.", "tableSlug": "commodities", "yScaleToggle": "true", "baseColorScheme": "owid-distinct", "Commodity Dropdown": "Oats"}, {"type": "LineChart", "title": "Coffee prices", "ySlugs": "coffee", "subtitle": "Coffee prices are measured in US dollars per kilogram. This is not adjusted for inflation.", "tableSlug": "commodities", "yScaleToggle": "true", "baseColorScheme": "owid-distinct", "Commodity Dropdown": "Coffee"}, {"type": "LineChart", "title": "Cotton prices", "ySlugs": "cotton", "subtitle": "Cotton prices are measured in US dollars per kilogram. This is not adjusted for inflation.", "tableSlug": "commodities", "yScaleToggle": "true", "baseColorScheme": "owid-distinct", "Commodity Dropdown": "Cotton"}, {"type": "LineChart", "title": "Sugar prices", "ySlugs": "sugar", "subtitle": "Sugar prices are measured in US dollars per kilogram. This is not adjusted for inflation.", "tableSlug": "comm… |
2023-06-01 19:11:29 | 2025-04-04 04:21:30 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Commodity Prices Data Explorer isPublished false selection World explorerSubtitle Explore global market prices of food, energy and material commodities hideAlertBanner true subNavId subNavCurrentId thumbnail hasMapTab false yAxisMin 0 hideAnnotationFieldsInTitle true tab chart graphers title subtitle Commodity Dropdown tableSlug ySlugs yScaleToggle xSlug baseColorScheme type note Wheat prices Wheat prices are measured in US dollars per kilogram. This is not adjusted for inflation. Wheat commodities wheat true owid-distinct LineChart Corn prices Corn (known as maize in the UK) prices are measured in US dollars per kilogram. This is not adjusted for inflation. Corn (maize) commodities corn true owid-distinct LineChart Soybean prices Soybean prices are measured in US dollars per kilogram. This is not adjusted for inflation. Soybeans commodities soybean true owid-distinct LineChart Oat prices Oat prices are measured in US dollars per kilogram. This is not adjusted for inflation. Oats commodities oats true owid-distinct LineChart Coffee prices Coffee prices are measured in US dollars per kilogram. This is not adjusted for inflation. Coffee commodities coffee true owid-distinct LineChart Cotton prices Cotton prices are measured in US dollars per kilogram. This is not adjusted for inflation. Cotton commodities cotton true owid-distinct LineChart Sugar prices Sugar prices are measured in US dollars per kilogram. This is not adjusted for inflation. Sugar commodities sugar true owid-distinct LineChart Soybean oil prices Soybean oil prices are measured in US dollars per kilogram. This is not adjusted for inflation. Soybean oil commodities soybean_oil true owid-distinct LineChart Heating oil prices Heating oil prices are measured in US dollars per liter. This is not adjusted for inflation. Heating oil commodities heating_oil true owid-distinct LineChart Natural gas prices Natural gas prices are measured in US dollars per Million British Thermal Units (MMBtu). This is not adjusted for inflati… | False |
13 | 13 | conflict-data | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "StackedBar", "title": "Deaths in armed conflicts", "subtitle": "Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year.", "yAxisMin": "0", "yVariableIds": "grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_one_sided_violence grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_non_state_conflict grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_intrastate grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_extrasystemic grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_interstate", "baseColorScheme": "stackedAreaDefault", "Measure Dropdown": "Conflict deaths", "hideRelativeToggle": "false", "relatedQuestionUrl": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "relatedQuestionText": "How do different approaches measure armed conflicts and their deaths?", "Data source Dropdown": "Uppsala Conflict Data Program", "Sub-measure Dropdown": "Regional data", "Conflict type Dropdown": "All armed conflicts", "Conflict sub-type Dropdown": "By sub-type", "hideAnnotationFieldsInTitle": "true"}, {"type": "StackedBar", "title": "Deaths in wars", "subtitle": "Included are deaths of combatants due to fighting, disease, and starvation in [interstate](#dod:interstate-war-cow), [intrastate](#dod:intrastate-war-cow), [extrastate](#dod:extrastate-war-cow), and [non-state](#dod:nonstate-war-cow) wars that were ongoing that year.", "yAxisMin": "0", "yVariableIds": "grapher/war/2023-09-21/cow/cow#number_deaths_ongoing_conflicts__conflict_type_intra_state__internationalized grapher/war/2023-09-21/cow/cow#number_deaths_ongoing_conflicts__conf… |
2023-08-21 13:49:45 | 2025-04-04 04:21:30 | 58 | 2025-03-25 16:27:25 | Updated conflict-data explorer subtitle | explorerTitle Conflict isPublished true thumbnail explorerSubtitle Explore the world's conflicts through their deaths, number, and locations. selection World wpBlockId subNavId subNavCurrentId conflict entityType region graphers yVariableIds ySlugs Conflict type Dropdown Measure Dropdown Conflict sub-type Dropdown Data source Dropdown Sub-measure Dropdown type yAxisMin title subtitle note yScaleToggle hideRelativeToggle hideAnnotationFieldsInTitle selectedFacetStrategy hasMapTab entityType tab baseColorScheme relatedQuestionText relatedQuestionUrl grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_one_sided_violence grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_non_state_conflict grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_intrastate grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_extrasystemic grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_interstate All armed conflicts Conflict deaths By sub-type Uppsala Conflict Data Program Regional data StackedBar 0 Deaths in armed conflicts Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year. false true stackedAreaDefault How do different approaches measure armed conflicts and their deaths? https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths grapher/war/2023-09-21/cow/cow#number_deaths_ongoing_conflicts__conflict_type_intra_state__internationalized grapher/war/2023-09-21/cow/cow#number_deaths_ongoing_conflicts__conflict_type_intra_state__non_internationalized grapher/war/2023-09-21/cow/cow#number_deaths_ongoing_conflicts__conflict_type_non_state grapher/war/2023-09-21/cow/cow#number_deaths_ongoing_conflicts__confl… | True |
14 | 14 | conflict-data-source | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "StackedBar", "title": "Deaths in armed conflicts", "subtitle": "Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year.", "yAxisMin": "0", "yVariableIds": "grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_one_sided_violence grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_non_state_conflict grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_intrastate grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_extrasystemic grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_interstate", "baseColorScheme": "stackedAreaDefault", "Measure Dropdown": "Conflict deaths", "hideRelativeToggle": "false", "relatedQuestionUrl": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "relatedQuestionText": "How do different approaches measure armed conflicts and their deaths?", "Data source Dropdown": "Uppsala Conflict Data Program", "Sub-measure Dropdown": "Regional data", "Conflict type Dropdown": "All armed conflicts", "Conflict sub-type Dropdown": "By sub-type", "hideAnnotationFieldsInTitle": "true"}, {"type": "StackedBar", "title": "Deaths in armed conflicts based on where they occurred", "subtitle": "Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year.", "yAxisMin": "0", "entityType": "country", "yVariableIds": "grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_one_sided_… |
2023-12-11 15:02:41 | 2025-04-04 04:21:30 | 58 | 2025-03-25 16:27:43 | Updated conflict-data-source | explorerTitle Conflict Data Source isPublished true thumbnail explorerSubtitle Explore the world's conflicts through the leading approaches to measuring them. selection World wpBlockId subNavId subNavCurrentId conflict-data-source entityType region graphers yVariableIds ySlugs Data source Dropdown Conflict type Dropdown Measure Dropdown Conflict sub-type Dropdown Sub-measure Dropdown type yAxisMin title subtitle note yScaleToggle hideRelativeToggle hideAnnotationFieldsInTitle selectedFacetStrategy hasMapTab entityType tab baseColorScheme relatedQuestionText relatedQuestionUrl grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_one_sided_violence grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_non_state_conflict grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_intrastate grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_extrasystemic grapher/war/2024-08-26/ucdp/ucdp#number_deaths_ongoing_conflicts__conflict_type_interstate Uppsala Conflict Data Program All armed conflicts Conflict deaths By sub-type Regional data StackedBar 0 Deaths in armed conflicts Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year. false true stackedAreaDefault How do different approaches measure armed conflicts and their deaths? https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_one_sided_violence grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_non_state_conflict grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_intrastate grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_interstate U… | True |
15 | 15 | countries-in-conflict-data | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "type": "LineChart", "title": "Deaths in armed conflicts based on where they occurred", "subtitle": "Included are deaths of combatants and civilians due to fighting in [armed conflicts](#dod:armed-conflict-ucdp) that were ongoing that year.", "yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_all", "Measure Dropdown": "Conflict deaths", "relatedQuestionUrl": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "relatedQuestionText": "How do different approaches measure armed conflicts and their deaths?", "Conflict type Dropdown": "All armed conflicts", "Conflict sub-type Dropdown": "Across all sub-types", "hideAnnotationFieldsInTitle": "true"}, {"type": "StackedBar", "title": "Deaths in armed conflicts based on where they occurred", "subtitle": "Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year.", "yAxisMin": "0", "yVariableIds": "grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_one_sided_violence grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_non_state_conflict grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_intrastate grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_interstate", "Measure Dropdown": "Conflict deaths", "hideRelativeToggle": "false", "relatedQuestionUrl": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "relatedQuestionText": "How do different approaches measure armed conflicts and their deaths?", "selectedFacetStrategy": "entity", "Conflict type Dropdown": "All armed conflicts", "Conflict sub-type Dropdown": "By s… |
2024-01-17 08:46:20 | 2025-04-04 04:21:31 | 52 | 2024-09-04 17:02:38 | Updated countries-in-conflict-data | explorerTitle Countries in Conflict isPublished true thumbnail explorerSubtitle Explore conflict deaths and death rates across the world's countries. selection Afghanistan Ethiopia Syria Ukraine subNavCurrentId country-conflict graphers yVariableIds Measure Dropdown Conflict type Dropdown Conflict sub-type Dropdown type yAxisMin title subtitle hideRelativeToggle hideAnnotationFieldsInTitle selectedFacetStrategy hasMapTab tab relatedQuestionText relatedQuestionUrl grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_all Conflict deaths All armed conflicts Across all sub-types LineChart 0 Deaths in armed conflicts based on where they occurred Included are deaths of combatants and civilians due to fighting in [armed conflicts](#dod:armed-conflict-ucdp) that were ongoing that year. true true map How do different approaches measure armed conflicts and their deaths? https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_one_sided_violence grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_non_state_conflict grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_intrastate grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_interstate Conflict deaths All armed conflicts By sub-type StackedBar 0 Deaths in armed conflicts based on where they occurred Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year. false true entity How do different approaches measure armed conflicts and their deaths? https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths grapher/war/2024-08-26/ucdp/ucdp_locations#number_deaths__conflict_type_interstate Conflict dea… | True |
16 | 16 | covid | {"blocks": [{"args": [], "type": "graphers", "block": [{"note": "For some countries, all-cause deaths and COVID-19 deaths use different date schemes, in which one refers to when the death occurred and the other to when it was reported. This difference could produce an artificial lag between the two time series.", "title": "Estimated cumulative excess deaths during COVID-19", "subtitle": "For countries that have not reported all-cause mortality data for a given week, an estimate is shown, with uncertainty interval. If reported data is available, that value only is shown.", "hasMapTab": "false", "facetYDomain": "independent", "yVariableIds": "grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths_ci_95_bot grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths_ci_95_top grapher/covid/latest/cases_deaths/cases_deaths#total_deaths", "Metric Dropdown": "Excess mortality (estimates)", "Interval Dropdown": "Cumulative", "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": "true", "Relative to population Checkbox": "false"}, {"tab": "map", "note": "For some countries, all-cause deaths and COVID-19 deaths use different date schemes, in which one refers to when the death occurred and the other to when it was reported. This difference could produce an artificial lag between the two time series.", "title": "Estimated cumulative excess deaths per 100,000 people during COVID-19", "subtitle": "For countries that have not reported all-cause mortality data for a given week, an estimate is shown, with uncertainty interval. If reported data is available, that value only is shown. On the map, only the central estimate is shown.", "hasMapTab": "true", "defaultView": "true", "facetYDomain": "shared", "yVariableIds": "grapher/excess_mortality/latest/excess_… |
2024-08-22 14:47:19 | 2025-04-15 06:34:44 | 74 | 2025-04-15 06:34:44 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'covid/latest/covid#covid'. explorerTitle COVID-19 isPublished true explorerSubtitle Explore global data on COVID-19. selection United States Brazil Japan Germany downloadDataLink https://docs.owid.io/projects/etl/api/covid/ subNavId coronavirus subNavCurrentId data-explorer wpBlockId 43869 hasMapTab true yAxisMin 0 thumbnail https://ourworldindata.org/coronavirus-data-explorer.png graphers yVariableIds Metric Dropdown Interval Dropdown Relative to population Checkbox hideAnnotationFieldsInTitle hasMapTab title subtitle selectedFacetStrategy facetYDomain note defaultView tab relatedQuestionText relatedQuestionUrl type sortBy sortColumnSlug hideTotalValueLabel timelineMinTime grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths_ci_95_bot grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths_ci_95_top grapher/covid/latest/cases_deaths/cases_deaths#total_deaths Excess mortality (estimates) Cumulative false true false Estimated cumulative excess deaths during COVID-19 For countries that have not reported all-cause mortality data for a given week, an estimate is shown, with uncertainty interval. If reported data is available, that value only is shown. entity independent For some countries, all-cause deaths and COVID-19 deaths use different date schemes, in which one refers to when the death occurred and the other to when it was reported. This difference could produce an artificial lag between the two time series. grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths_per_100k grapher/excess_mortality/latest/excess_mortality_economist/excess_mortality_economist#cumulative_estimated_daily_excess_deaths_ci_95_bot_pe… | True |
17 | 17 | crop-yields | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "Metric Radio": "Actual yield", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#almond_yield", "Crop Dropdown": "Almonds"}, {"type": "LineChart", "Metric Radio": "Actual yield", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#banana_yield", "Crop Dropdown": "Bananas"}, {"type": "LineChart", "Metric Radio": "Actual yield", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#barley_yield", "Crop Dropdown": "Barley"}, {"note": "Attainable yields are based on assessments for the year 2000. Real attainable yield pre-2000 may be lower; and post-2000 may be higher than these values.", "type": "DiscreteBar", "Metric Radio": "Attainable yield", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#barley_attainable_yield", "Crop Dropdown": "Barley"}, {"note": "Attainable yields are based on assessments for the year 2000. Real attainable yield pre-2000 may be lower; and post-2000 may be higher than these values.", "type": "LineChart", "Metric Radio": "Yield gap", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#barley_yield_gap", "Crop Dropdown": "Barley"}, {"type": "LineChart", "Metric Radio": "Actual yield", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#bean_yield", "Crop Dropdown": "Beans"}, {"type": "LineChart", "Metric Radio": "Actual yield", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#cassava_yield", "Crop Dropdown": "Cassava"}, {"note": "Attainable yields are based on assessments for the year 2000. Real attainable yield pre-2000 may be lower; and post-2000 may be higher than these values.", "type": "DiscreteBar", "Metric Radio": "Attainable yield", "yVariableIds": "grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#cassava_attainable_yield", "Crop Dropdown": "Cassava"}, {"note": "At… |
2023-06-01 19:11:29 | 2025-04-14 15:55:25 | 74 | 2025-04-14 15:55:25 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'agriculture/latest/crop_yields#crop-yields'. explorerTitle Crop Yields isPublished true explorerSubtitle Explore crop yields across the world. selection Austria Brazil Bulgaria Hungary Italy Netherlands Romania Russia United Kingdom United States hideAlertBanner true subNavId explorers subNavCurrentId crop-yields hasMapTab true yAxisMin 0 hideAnnotationFieldsInTitle true pickerColumnSlugs yScaleToggle false graphers yVariableIds Crop Dropdown Metric Radio type note tab defaultView grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#almond_yield Almonds Actual yield LineChart grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#banana_yield Bananas Actual yield LineChart grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#barley_yield Barley Actual yield LineChart grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#barley_attainable_yield Barley Attainable yield DiscreteBar Attainable yields are based on assessments for the year 2000. Real attainable yield pre-2000 may be lower; and post-2000 may be higher than these values. grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#barley_yield_gap Barley Yield gap LineChart Attainable yields are based on assessments for the year 2000. Real attainable yield pre-2000 may be lower; and post-2000 may be higher than these values. grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#bean_yield Beans Actual yield LineChart grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#cassava_yield Cassava Actual yield LineChart grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#cassava_attainable_yield Cassava Attainable yield DiscreteBar Attainable yields are based on assessments for the year 2000. Real attainable yield pre-2000 may be lower; and post-2000 may be higher than these values. grapher/agriculture/2025-03-26/attainable_yields/attainable_yields#cassava_yield_gap Cassava Yield gap Line… | True |
18 | 18 | democracy | {"blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "5537", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Main index"}, {"grapherId": "3461", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Elected political leaders index"}, {"grapherId": "3457", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Share of adult citizens who have the right to vote"}, {"grapherId": "5538", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Free and fair elections index"}, {"grapherId": "5539", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Freedom of association index"}, {"grapherId": "5540", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Freedom of expression index"}, {"grapherId": "5685", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Main index weighted by population"}, {"grapherId": "5860", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Main index distribution"}, {"grapherId": "5861", "Metric Dropdown": "Electoral democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Main index distribution weighted by population"}, {"grapherId": "3376", "Metric Dropdown": "Liberal democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Main index"}, {"grapherId": "5537", "Metric Dropdown": "Liberal democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Electoral democracy index"}, {"grapherId": "5740", "Metric Dropdown": "Liberal democracy", "Dataset Dropdown": "Varieties of Democracy", "Sub-metric Dropdown": "Liberal political institutions inde… |
2023-06-01 19:11:28 | 2025-04-08 13:37:22 | 51 | 2025-04-08 13:37:22 | Removed population-weighted average for BTI | # HACK: Some fields are prepended by an invisible character (https://invisible-characters.com/00AD-SOFT-HYPHEN.html) in order to get the explorer to display the options in the correct order. explorerTitle Democracy explorerSubtitle Explore changes in the world's democratic and non-democratic systems. isPublished true thumbnail https://assets.ourworldindata.org/uploads/2022/06/Democracy-Data-Explorer.png selection Argentina Australia Botswana China World wpBlockId 51850 subNavId subNavCurrentId democracy-data graphers grapherId Dataset Dropdown Metric Dropdown Sub-metric Dropdown 5537 Varieties of Democracy Electoral democracy Main index 3461 Varieties of Democracy Electoral democracy Elected political leaders index 3457 Varieties of Democracy Electoral democracy Share of adult citizens who have the right to vote 5538 Varieties of Democracy Electoral democracy Free and fair elections index 5539 Varieties of Democracy Electoral democracy Freedom of association index 5540 Varieties of Democracy Electoral democracy Freedom of expression index 5685 Varieties of Democracy Electoral democracy Main index weighted by population 5860 Varieties of Democracy Electoral democracy Main index distribution 5861 Varieties of Democracy Electoral democracy Main index distribution weighted by population 3376 Varieties of Democracy Liberal democracy Main index 5537 Varieties of Democracy Liberal democracy Electoral democracy index 5740 Varieties of Democracy Liberal democracy Liberal political institutions index 5615 Varieties of Democracy Liberal democracy Individual liberties and equality before the law index 5741 Varieties of Democracy Liberal democracy Judicial constraints on the executive index 5742 Varieties of Democracy Liberal democracy Legislative constraints on the executive index 5684 Varieties of Democracy Liberal democracy Main index weighted by population 5863 Varieties of Democracy Liberal democracy Main index distribution 5862 Varieties of Democracy Liberal democracy Main index distribution weigh… | True |
19 | 19 | energy | {"blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "3868", "Metric Dropdown": "Annual consumption", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Primary energy"}, {"grapherId": "586", "defaultView": "true", "Metric Dropdown": "Per capita consumption", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Primary energy"}, {"grapherId": "4287", "Metric Dropdown": "Rel. change from previous year", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Primary energy"}, {"grapherId": "4288", "Metric Dropdown": "Abs. change from previous year", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Primary energy"}, {"grapherId": "4289", "Metric Dropdown": "Annual generation", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Electricity only"}, {"grapherId": "737", "Metric Dropdown": "Per capita generation", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Electricity only"}, {"grapherId": "5636", "Metric Dropdown": "Net electricity imports", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Electricity only"}, {"grapherId": "5635", "Metric Dropdown": "Annual demand", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Electricity only"}, {"grapherId": "5637", "Metric Dropdown": "Electricity imports as a share of demand", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Electricity only"}, {"grapherId": "4767", "Metric Dropdown": "Carbon intensity", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Electricity only"}, {"grapherId": "6287", "Metric Dropdown": "Share of total", "Total or Breakdown Radio": "Total", "Energy or Electricity Radio": "Electricity only"}, {"grapherId": "4449", "Metric Dropdown": "Annual consumption", "Select a source Dropdown": "Fossil fuels", "Total or Breakdown Radio": "Select a source", "Energy or Electricity Radio": "Primary energy"}, {"grapherId": "4434", "Metric Dropdown": "Per capita consu… |
2023-06-01 19:11:26 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Energy explorerSubtitle Explore data on energy production and sources. downloadDataLink https://github.com/owid/energy-data isPublished true selection United States United Kingdom China World India Brazil South Africa subNavId energy thumbnail https://assets.ourworldindata.org/uploads/2022/12/Energy-data-explorer-Thumbnail.png subNavCurrentId energy-data-explorer graphers grapherId Total or Breakdown Radio Select a source Dropdown Energy or Electricity Radio Metric Dropdown defaultView 3868 Total Primary energy Annual consumption 586 Total Primary energy Per capita consumption true 4287 Total Primary energy Rel. change from previous year 4288 Total Primary energy Abs. change from previous year 4289 Total Electricity only Annual generation 737 Total Electricity only Per capita generation 5636 Total Electricity only Net electricity imports 5635 Total Electricity only Annual demand 5637 Total Electricity only Electricity imports as a share of demand 4767 Total Electricity only Carbon intensity 6287 Total Electricity only Share of total 4449 Select a source Fossil fuels Primary energy Annual consumption 4434 Select a source Fossil fuels Primary energy Per capita consumption 4293 Select a source Fossil fuels Primary energy Share of total 4394 Select a source Fossil fuels Primary energy Rel. change from previous year 4393 Select a source Fossil fuels Primary energy Abs. change from previous year 4443 Select a source Fossil fuels Electricity only Annual generation 4453 Select a source Fossil fuels Electricity only Per capita generation 4325 Select a source Fossil fuels Electricity only Share of total generation 1377 Select a source Coal Primary energy Annual consumption 1385 Select a source Coal Primary energy Per capita consumption 4290 Select a source Coal Primary energy Share of total 4388 Select a source Coal Primary energy Rel. change from previous year 4387 Select a source Coal Primary energy Abs. change from previous year 4444 Select a source Coal Electricity onl… | True |
20 | 20 | energy-scenarios | {"blocks": [{"args": ["https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Energy%20land%20use%20scenario%20analysis%20(OWID%20based%20on%20UNECE%20%26%20EMBER)/Energy%20land%20use%20scenario%20analysis%20(OWID%20based%20on%20UNECE%20%26%20EMBER).csv", "energy"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"tab": "map", "note": "Figures are used to provide a magnitude estimate, and come with significant uncertainty.", "type": "LineChart", "title": "Estimated share of land used for electricity production", "ySlugs": "land_actual_total_share", "subtitle": "Land use is based on life-cycle analysis, so includes land used by a power plant plus any used in fuel or material supply chains (e.g. mining).", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "energy", "yScaleToggle": "false", "baseColorScheme": "owid-distinct", "Absolute or Share Radio": "Share of land area", "Electricity source Dropdown": "Actual electricity mix"}, {"tab": "map", "note": "Figures are used to provide a magnitude estimate, and come with significant uncertainty.", "type": "LineChart", "title": "Share of land needed for electricity production if all of of it came from coal", "ySlugs": "land_all_coal_share", "subtitle": "Hypothetical scenarios which assume that a country got all of its annual electricity consumption from a single source in any given year. Land use is based on life-cycle analysis, so includes land used by a power plant plus any used in fuel or material supply chains (e.g. mining). This is shown as the share of each country's land area.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "energy", "yScaleToggle": "false", "baseColorScheme": "owid-distinct", "Absolute or Share Radio": "Share of land area", "Electricity source Dropdown": "All from coal"}, {"tab": "map", "note": "Figures are used to provide a magnitude estimate, and come with significant uncertainty.", "type": "LineChart", "title": "Share of land needed for electricity production if all of of it came from gas", "ySl… |
2023-06-01 19:11:26 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Energy Land Use Scenario Explorer isPublished false selection United States United Kingdom World China India Japan Germany explorerSubtitle hideAlertBanner true subNavId entityType source hasMapTab true table https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Energy%20land%20use%20scenario%20analysis%20(OWID%20based%20on%20UNECE%20%26%20EMBER)/Energy%20land%20use%20scenario%20analysis%20(OWID%20based%20on%20UNECE%20%26%20EMBER).csv energy hideAnnotationFieldsInTitle true graphers title subtitle Electricity source Dropdown Absolute or Share Radio tableSlug ySlugs yScaleToggle xSlug baseColorScheme type hasMapTab grapherId sourceDesc yAxisMin note tab Estimated share of land used for electricity production Land use is based on life-cycle analysis, so includes land used by a power plant plus any used in fuel or material supply chains (e.g. mining). Actual electricity mix Share of land area energy land_actual_total_share false owid-distinct LineChart true 0 Figures are used to provide a magnitude estimate, and come with significant uncertainty. map Share of land needed for electricity production if all of of it came from coal Hypothetical scenarios which assume that a country got all of its annual electricity consumption from a single source in any given year. Land use is based on life-cycle analysis, so includes land used by a power plant plus any used in fuel or material supply chains (e.g. mining). This is shown as the share of each country's land area. All from coal Share of land area energy land_all_coal_share false owid-distinct LineChart true 0 Figures are used to provide a magnitude estimate, and come with significant uncertainty. map Share of land needed for electricity production if all of of it came from gas Hypothetical scenarios which assume that a country got all of its annual electricity consumption from a single source in any given year. Land use is based on life-cycle analysis, so includes land used by a power plant plus any used in fuel or material supply ch… | False |
21 | 21 | explorer_as_a_grapher | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "DiscreteBar", "title": "Using the Explorer Creator to Make a Grapher", "ySlugs": "gdp", "subtitle": "This demonstrates how to use hideControls to make a Grapher entirely in the Explorer creator. If you need to make a quick chart from CSV or inline data, this may be a reasonable option.", "hasMapTab": "true"}]}, {"args": [], "type": "table", "block": [{"gdp": "100", "year": "2020", "entityName": "Canada"}, {"gdp": "110", "year": "2020", "entityName": "France"}, {"gdp": "320", "year": "2020", "entityName": "United States"}]}, {"args": [], "type": "columns", "block": [{"name": "Gross Domestic Product", "slug": "gdp", "type": "Currency"}]}], "_version": 1, "defaultView": ["?selection=Canada~France~United States"], "isPublished": "false", "hideControls": "true", "explorerTitle": "Using Explorer to Make a Grapher", "explorerSubtitle": "This demonstrates how to use hideControls to make a Grapher"} |
2023-06-01 19:11:24 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Using Explorer to Make a Grapher explorerSubtitle This demonstrates how to use hideControls to make a Grapher hideControls true defaultView ?selection=Canada~France~United States isPublished false graphers title subtitle type ySlugs hasMapTab Using the Explorer Creator to Make a Grapher This demonstrates how to use hideControls to make a Grapher entirely in the Explorer creator. If you need to make a quick chart from CSV or inline data, this may be a reasonable option. DiscreteBar gdp true table entityName year gdp Canada 2020 100 France 2020 110 United States 2020 320 columns slug name type gdp Gross Domestic Product Currency | False |
22 | 22 | explorer-template | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "DiscreteBar", "title": "Population of different countries", "ySlugs": "Population", "subtitle": "How many people live in each country?", "Statistic Radio": "Population"}, {"type": "WorldMap", "title": "Flag Properties", "ySlugs": "MapleleafsInFlag", "subtitle": "How many leaves are on their flag?", "Statistic Radio": "Flag"}]}, {"args": [], "type": "table", "block": [{"Year": "2020", "Country": "Canada", "Population": "32000000"}, {"Year": "2020", "Country": "India", "Population": "1000000000"}, {"Year": "2020", "Country": "France", "Population": "50000000"}]}, {"args": [], "type": "columns", "block": [{"name": "Country", "slug": "Country", "type": "EntityName"}, {"name": "Population", "slug": "Population", "type": "Numeric"}, {"name": "Year", "slug": "Year", "type": "Year"}, {"name": "MapleleafsInFlag", "slug": "MapleleafsInFlag", "type": "Numeric"}]}], "_version": 1, "selection": ["Canada", "India"], "isPublished": "false", "explorerTitle": "My New Explorer", "explorerSubtitle": "This is the subtitle"} |
2023-06-01 19:11:23 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle My New Explorer explorerSubtitle This is the subtitle selection Canada India graphers title ySlugs subtitle Statistic Radio type Population of different countries Population How many people live in each country? Population DiscreteBar Flag Properties MapleleafsInFlag How many leaves are on their flag? Flag WorldMap table Country Population Year Canada 32000000 2020 India 1000000000 2020 France 50000000 2020 columns slug type name Country EntityName Country Population Numeric Population Year Year Year MapleleafsInFlag Numeric MapleleafsInFlag | False |
23 | 23 | explorer-transform-demo | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Something", "ySlugs": "base", "Type Dropdown": "Base data only"}, {"type": "LineChart", "title": "Something and another", "ySlugs": "base times_2 rolling subtract where", "Type Dropdown": "All big values"}, {"type": "LineChart", "title": "Something else", "ySlugs": "per_capita percentage_of time_since percent_change", "Type Dropdown": "All small values"}, {"type": "LineChart", "title": "Something faceted", "ySlugs": "base times_2 rolling subtract where per_capita percentage_of time_since percent_change", "Type Dropdown": "All (faceted)", "selectedFacetStrategy": "metric"}]}, {"args": [], "type": "table", "block": [{"base": "200000000", "year": "2000", "entityName": "World", "population": "6148898816"}, {"base": "191000000", "year": "2001", "entityName": "World", "population": "6230747136"}, {"base": "187500000", "year": "2002", "entityName": "World", "population": "6312407552"}, {"base": "214000000", "year": "2003", "entityName": "World", "population": "6393898496"}, {"base": "189000000", "year": "2004", "entityName": "World", "population": "6475751424"}, {"base": "201000000", "year": "2005", "entityName": "World", "population": "6558176256"}, {"base": "210500000", "year": "2006", "entityName": "World", "population": "6641416192"}, {"base": "252000000", "year": "2007", "entityName": "World", "population": "6725948416"}, {"base": "212000000", "year": "2008", "entityName": "World", "population": "6811597312"}, {"base": "207000000", "year": "2009", "entityName": "World", "population": "6898306048"}, {"base": "201900000", "year": "2010", "entityName": "World", "population": "6985603072"}]}, {"args": [], "type": "columns", "block": [{"name": "Country", "slug": "entityName", "type": "EntityName"}, {"name": "Year", "slug": "year", "type": "Year"}, {"name": "Base variable", "slug": "base", "type": "Integer", "color": "#000000"}, {"name": "divideBy population", "slug": "per_capita", "type": "Numeric", "transform": "divideBy base populat… |
2023-07-19 13:24:29 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Explorer transforms demo isPublished false explorerSubtitle It's a demo, you know? entityType region selection World yAxisMin 0 graphers Type Dropdown type ySlugs title selectedFacetStrategy Base data only LineChart base Something All big values LineChart base times_2 rolling subtract where Something and another All small values LineChart per_capita percentage_of time_since percent_change Something else All (faceted) LineChart base times_2 rolling subtract where per_capita percentage_of time_since percent_change Something faceted metric table entityName year base population World 2000 200000000 6148898816 World 2001 191000000 6230747136 World 2002 187500000 6312407552 World 2003 214000000 6393898496 World 2004 189000000 6475751424 World 2005 201000000 6558176256 World 2006 210500000 6641416192 World 2007 252000000 6725948416 World 2008 212000000 6811597312 World 2009 207000000 6898306048 World 2010 201900000 6985603072 columns slug name type transform color entityName Country EntityName year Year Year base Base variable Integer #000000 per_capita divideBy population Numeric divideBy base population times_2 multiplyBy 2 Numeric multiplyBy base 2 rolling rollingAverage 7 Numeric rollingAverage year entityName base 7 percentage_of asPercentageOf population Percentage asPercentageOf base population subtract subtract (rolling - base) Numeric subtract rolling base percent_change percentChange Percentage percentChange year entityName base 7 time_since timeSinceEntityExceededThreshold Integer timeSinceEntityExceededThreshold year entityName base 210000000 where where Integer base where base isGreaterThanOrEqual 200000000 | False |
24 | 24 | fertilizers | {"tab": "map", "blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "1089", "Input Radio": "Synthetic fertilizer", "Nutrient Radio": "Nitrogen", "Metric Dropdown": "Applied (per hectare)", "Share of world total Checkbox": "false"}, {"grapherId": "1088", "Input Radio": "Synthetic fertilizer", "Nutrient Radio": "Phosphorous", "Metric Dropdown": "Applied (per hectare)", "Share of world total Checkbox": "false"}, {"grapherId": "1090", "Input Radio": "Synthetic fertilizer", "Nutrient Radio": "Potassium", "Metric Dropdown": "Applied (per hectare)", "Share of world total Checkbox": "false"}, {"grapherId": "6500", "Input Radio": "Synthetic fertilizer", "Nutrient Radio": "All nutrients", "Metric Dropdown": "Applied (per hectare)", "Share of world total Checkbox": "false"}, {"grapherId": "5174", "Input Radio": "Total nutrients", "Nutrient Radio": "Nitrogen", "Metric Dropdown": "Applied (total)", "Share of world total Checkbox": "false"}, {"grapherId": "5175", "Input Radio": "Total nutrients", "Nutrient Radio": "Nitrogen", "Metric Dropdown": "Applied (per hectare)", "Share of world total Checkbox": "false"}, {"grapherId": "5092", "Input Radio": "Total nutrients", "Nutrient Radio": "Nitrogen", "Metric Dropdown": "Excess (total)", "Share of world total Checkbox": "false"}, {"grapherId": "5108", "Input Radio": "Total nutrients", "Nutrient Radio": "Nitrogen", "Metric Dropdown": "Excess (per hectare)", "Share of world total Checkbox": "false"}, {"grapherId": "5094", "Input Radio": "Total nutrients", "Nutrient Radio": "Nitrogen", "Metric Dropdown": "Excess (total)", "Share of world total Checkbox": "true"}, {"grapherId": "5088", "Input Radio": "Total nutrients", "Nutrient Radio": "Nitrogen", "Metric Dropdown": "Nutrient use efficiency", "Share of world total Checkbox": "false"}, {"grapherId": "5176", "Input Radio": "Total nutrients", "Nutrient Radio": "Phosphorous", "Metric Dropdown": "Applied (total)", "Share of world total Checkbox": "false"}, {"grapherId": "5177", "Input Radio": "Total nutrients", "Nutrient Radi… |
2023-06-01 19:11:30 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Fertilizers explorerSubtitle Explore the use and impact of fertilizers across the world. isPublished true entityType country selection United States China Egypt India France Brazil subNavId explorers subNavCurrentId fertilizers wpBlockId tab map graphers grapherId Input Radio Nutrient Radio Metric Dropdown Share of world total Checkbox 1089 Synthetic fertilizer Nitrogen Applied (per hectare) false 1088 Synthetic fertilizer Phosphorous Applied (per hectare) false 1090 Synthetic fertilizer Potassium Applied (per hectare) false 6500 Synthetic fertilizer All nutrients Applied (per hectare) false 5174 Total nutrients Nitrogen Applied (total) false 5175 Total nutrients Nitrogen Applied (per hectare) false 5092 Total nutrients Nitrogen Excess (total) false 5108 Total nutrients Nitrogen Excess (per hectare) false 5094 Total nutrients Nitrogen Excess (total) true 5088 Total nutrients Nitrogen Nutrient use efficiency false 5176 Total nutrients Phosphorous Applied (total) false 5177 Total nutrients Phosphorous Applied (per hectare) false 5093 Total nutrients Phosphorous Excess (total) false 5110 Total nutrients Phosphorous Excess (per hectare) false 5095 Total nutrients Phosphorous Excess (total) true | True |
25 | 25 | fish-stocks | {"blocks": [{"args": ["https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Fish%20stocks%20(RAMLegacy)/Fish%20stocks%20(RAMLegacy).csv", "fish"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Fish stocks relative to the maximum sustainable yield", "ySlugs": "total_biomass_relative_to_msy", "subtitle": "Fish stocks are measured by their biomass: the number of individuals multiplied by their mass.\\nHere it's measured as the biomass of a fish stock divided by the biomass at its maximum sustainable yield – the level at which we can catch the maximum amount of fish without a decline in fish populations. A value of one maximises fish catch without decreasing fish populations.", "yAxisMin": "0", "tableSlug": "fish", "Metric Radio": "Fish stocks (biomass)", "yScaleToggle": "false", "Total or Relative Radio": "Relative to Max Sustainable Yield"}, {"type": "LineChart", "title": "Fish stocks relative to the management target", "ySlugs": "total_biomass_relative_to_management_target", "subtitle": "Fish stocks are measured by their biomass: the number of individuals multiplied by their mass.\\nHere it's measured as the biomass of a fish stock divided by the biomass at the management target level. A value of one means fish catch is optimal to achieve the intended level fo fish stocks.", "yAxisMin": "0", "tableSlug": "fish", "Metric Radio": "Fish stocks (biomass)", "yScaleToggle": "false", "Total or Relative Radio": "Relative to management target"}, {"type": "LineChart", "title": "Total fish stocks", "ySlugs": "total_biomass", "subtitle": "Fish stocks are measured by their biomass: the number of individuals multiplied by their mass.", "yAxisMin": "0", "tableSlug": "fish", "Metric Radio": "Fish stocks (biomass)", "yScaleToggle": "false", "Total or Relative Radio": "Total"}, {"type": "LineChart", "title": "Fishing intensity", "ySlugs": "exploitation_rate", "subtitle": "Fishing intensity measured the extent to which a stock is being exploited. This is t… |
2023-06-01 19:11:28 | 2025-04-04 04:21:31 | 14 | 2024-10-30 17:23:44 | Updated fish-stocks | explorerTitle Fish Stocks explorerSubtitle Explore available data on the world's fish stocks. isPublished true googleSheet selection Albacore tuna North Pacific Ocean Albacore tuna South Atlantic Atlantic bluefin tuna Western Atlantic hideAlertBanner true hasMapTab false table https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Fish%20stocks%20(RAMLegacy)/Fish%20stocks%20(RAMLegacy).csv fish hideAnnotationFieldsInTitle true pickerColumnSlugs entityType fish stock graphers title subtitle Metric Radio Total or Relative Radio tableSlug ySlugs yScaleToggle yAxisMin colorSlug type Fish stocks relative to the maximum sustainable yield Fish stocks are measured by their biomass: the number of individuals multiplied by their mass.\nHere it's measured as the biomass of a fish stock divided by the biomass at its maximum sustainable yield – the level at which we can catch the maximum amount of fish without a decline in fish populations. A value of one maximises fish catch without decreasing fish populations. Fish stocks (biomass) Relative to Max Sustainable Yield fish total_biomass_relative_to_msy false 0 LineChart Fish stocks relative to the management target Fish stocks are measured by their biomass: the number of individuals multiplied by their mass.\nHere it's measured as the biomass of a fish stock divided by the biomass at the management target level. A value of one means fish catch is optimal to achieve the intended level fo fish stocks. Fish stocks (biomass) Relative to management target fish total_biomass_relative_to_management_target false 0 LineChart Total fish stocks Fish stocks are measured by their biomass: the number of individuals multiplied by their mass. Fish stocks (biomass) Total fish total_biomass false 0 LineChart Fishing intensity Fishing intensity measured the extent to which a stock is being exploited. This is the fraction of the fish population that is caught in a given year. Fishing Intensity Total fish exploitation_rate false 0 LineChart Fishing intensity relative to the… | True |
26 | 26 | fish-stocks-aggregated | {"tab": "chart", "blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "5218", "Metric Radio": "Biomass", "By Region or Taxa Radio": "Region"}, {"grapherId": "5222", "Metric Radio": "Fishing Pressure", "By Region or Taxa Radio": "Region"}, {"grapherId": "5224", "Metric Radio": "Catch", "By Region or Taxa Radio": "Region"}, {"grapherId": "5216", "Metric Radio": "All metrics on one chart", "By Region or Taxa Radio": "Region"}, {"grapherId": "5219", "Metric Radio": "Biomass", "By Region or Taxa Radio": "Taxa"}, {"grapherId": "5223", "Metric Radio": "Fishing Pressure", "By Region or Taxa Radio": "Taxa"}, {"grapherId": "5225", "Metric Radio": "Catch", "By Region or Taxa Radio": "Taxa"}, {"grapherId": "5217", "Metric Radio": "All metrics on one chart", "By Region or Taxa Radio": "Taxa"}]}], "_version": 1, "subNavId": null, "selection": [], "wpBlockId": null, "entityType": "region or taxa", "isPublished": "false", "explorerTitle": "Fish Stocks Data Explorer", "subNavCurrentId": null, "explorerSubtitle": "Explore biomass, catch and fishing pressure of fish stocks across the world."} |
2023-06-01 19:11:23 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Fish Stocks Data Explorer isPublished false entityType region or taxa explorerSubtitle Explore biomass, catch and fishing pressure of fish stocks across the world. selection subNavId subNavCurrentId wpBlockId tab chart graphers grapherId By Region or Taxa Radio Metric Radio 5218 Region Biomass 5222 Region Fishing Pressure 5224 Region Catch 5216 Region All metrics on one chart 5219 Taxa Biomass 5223 Taxa Fishing Pressure 5225 Taxa Catch 5217 Taxa All metrics on one chart | False |
27 | 27 | food-footprints | {"blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "3645", "Environmental Impact Dropdown": "Carbon footprint", "By stage of supply chain Checkbox": "false", "Kilogram / Protein / Calories Dropdown": "Per kilogram", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "4986", "Environmental Impact Dropdown": "Carbon footprint", "By stage of supply chain Checkbox": "true", "Kilogram / Protein / Calories Dropdown": "Per kilogram", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "3651", "Environmental Impact Dropdown": "Carbon footprint", "By stage of supply chain Checkbox": "false", "Kilogram / Protein / Calories Dropdown": "Per 100 grams of protein", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "3655", "Environmental Impact Dropdown": "Carbon footprint", "By stage of supply chain Checkbox": "false", "Kilogram / Protein / Calories Dropdown": "Per 1000 kilocalories", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "3644", "Environmental Impact Dropdown": "Land use", "By stage of supply chain Checkbox": "false", "Kilogram / Protein / Calories Dropdown": "Per kilogram", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "3650", "Environmental Impact Dropdown": "Land use", "By stage of supply chain Checkbox": "false", "Kilogram / Protein / Calories Dropdown": "Per 100 grams of protein", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "3654", "Environmental Impact Dropdown": "Land use", "By stage of supply chain Checkbox": "false", "Kilogram / Protein / Calories Dropdown": "Per 1000 kilocalories", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "3646", "Environmental Impact Dropdown": "Water use", "By stage of supply chain Checkbox": "false", "Kilogram / Protein / Calories Dropdown": "Per kilogram", "Commodity or Specific Food Product Radio": "Commodity"}, {"grapherId": "3652", "Environmental Impact Dropdown": "Water use", "By stage of supply… |
2023-06-01 19:11:23 | 2025-04-04 04:21:31 | 49 | 2024-12-03 12:33:27 | food-footprints: Remove empty explorerSubtitle row | explorerTitle Environmental Impacts of Food explorerSubtitle Explore the land use, carbon, and water footprints of food products. isPublished true selection Almonds Bacon Bananas Beans Beef (beef herd) Beef (dairy herd) Beefburger Cheese Cow's milk Eggs Lamb & Mutton Maize Milk Peas Penne pasta Pig Meat Pizza Poultry Meat Prawns (farmed) Rice Steak pie Tofu Tomatoes Vegetable lasagne Wheat & Rye hideAlertBanner true subNavId explorers thumbnail https://assets.ourworldindata.org/uploads/2022/08/Env-Impacts-of-Food-Data-Explorer.png wpBlockId 52428 hasMapTab false hideAnnotationFieldsInTitle true entityType food graphers grapherId Commodity or Specific Food Product Radio Environmental Impact Dropdown Kilogram / Protein / Calories Dropdown By stage of supply chain Checkbox title subtitle tableSlug ySlugs baseColorScheme type sourceDesc note relatedQuestionUrl relatedQuestionText selectedFacetStrategy facetYDomain 3645 Commodity Carbon footprint Per kilogram false 4986 Commodity Carbon footprint Per kilogram true 3651 Commodity Carbon footprint Per 100 grams of protein false 3655 Commodity Carbon footprint Per 1000 kilocalories false 3644 Commodity Land use Per kilogram false 3650 Commodity Land use Per 100 grams of protein false 3654 Commodity Land use Per 1000 kilocalories false 3646 Commodity Water use Per kilogram false 3652 Commodity Water use Per 100 grams of protein false 3950 Commodity Water use Per 1000 kilocalories false 3647 Commodity Scarcity-weighted water use Per kilogram false 3653 Commodity Scarcity-weighted water use Per 100 grams of protein false 3951 Commodity Scarcity-weighted water use Per 1000 kilocalories false 3649 Commodity Eutrophication Per kilogram false 3952 Commodity Eutrophication Per 100 grams of protein false 3953 Commodity Eutrophication Per 1000 kilocalories false Specific food products Carbon footprint Per kilogram false Greenhouse gas emissions per kilogram of food Emissions are measured in carbon dioxide equivalents (CO2eq). This means non-CO2 gases are weighte… | True |
28 | 28 | food-prices | {"tab": "map", "blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "4955", "Diet Radio": "Healthy diet", "Affordability metric Radio": "Share that cannot afford", "Cost or Affordability Radio": "Affordability"}, {"grapherId": "4958", "Diet Radio": "Healthy diet", "Affordability metric Radio": "Number that cannot afford", "Cost or Affordability Radio": "Affordability"}, {"grapherId": "4954", "Diet Radio": "Nutrient adequate diet", "Affordability metric Radio": "Share that cannot afford", "Cost or Affordability Radio": "Affordability"}, {"grapherId": "4957", "Diet Radio": "Nutrient adequate diet", "Affordability metric Radio": "Number that cannot afford", "Cost or Affordability Radio": "Affordability"}, {"grapherId": "4953", "Diet Radio": "Calorie sufficient diet", "Affordability metric Radio": "Share that cannot afford", "Cost or Affordability Radio": "Affordability"}, {"grapherId": "4956", "Diet Radio": "Calorie sufficient diet", "Affordability metric Radio": "Number that cannot afford", "Cost or Affordability Radio": "Affordability"}, {"grapherId": "4951", "Diet Radio": "Healthy diet", "Cost metric Radio": "$ per day", "Cost or Affordability Radio": "Cost "}, {"grapherId": "4950", "Diet Radio": "Nutrient adequate diet", "Cost metric Radio": "$ per day", "Cost or Affordability Radio": "Cost "}, {"grapherId": "4949", "Diet Radio": "Calorie sufficient diet", "Cost metric Radio": "$ per day", "Cost or Affordability Radio": "Cost "}, {"grapherId": "4969", "Diet Radio": "Calorie sufficient diet", "Cost metric Radio": "% of average food expenditure", "Cost or Affordability Radio": "Cost "}, {"grapherId": "4967", "Diet Radio": "Nutrient adequate diet", "Cost metric Radio": "% of average food expenditure", "Cost or Affordability Radio": "Cost "}, {"grapherId": "4968", "Diet Radio": "Healthy diet", "Cost metric Radio": "% of average food expenditure", "Cost or Affordability Radio": "Cost "}]}], "_version": 1, "subNavId": "explorers", "selection": ["Nigeria", "Bangladesh", "India", "Ethiopia", "Mexico", "Un… |
2023-06-01 19:11:29 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Food Prices explorerSubtitle Explore the cost and affordability of diets across the world. isPublished true selection Nigeria Bangladesh India Ethiopia Mexico United States Brazil United Kingdom subNavId explorers subNavCurrentId food-prices wpBlockId tab map graphers grapherId Diet Radio Cost or Affordability Radio Affordability metric Radio Cost metric Radio 4955 Healthy diet Affordability Share that cannot afford 4958 Healthy diet Affordability Number that cannot afford 4954 Nutrient adequate diet Affordability Share that cannot afford 4957 Nutrient adequate diet Affordability Number that cannot afford 4953 Calorie sufficient diet Affordability Share that cannot afford 4956 Calorie sufficient diet Affordability Number that cannot afford 4951 Healthy diet Cost $ per day 4950 Nutrient adequate diet Cost $ per day 4949 Calorie sufficient diet Cost $ per day 4969 Calorie sufficient diet Cost % of average food expenditure 4967 Nutrient adequate diet Cost % of average food expenditure 4968 Healthy diet Cost % of average food expenditure | True |
29 | 29 | gdp-by-quarter | {"type": "LineChart", "title": "GDP by quarter", "blocks": [{"args": [], "type": "columns", "block": [{"name": "Country", "slug": "Country", "type": "EntityName"}, {"name": "GDP", "slug": "GDP", "type": "Percentage"}, {"name": "Quarter", "slug": "Quarter", "type": "Quarter"}]}, {"args": [], "type": "table", "block": [{"GDP": "-1.035574913", "Country": "Argentina", "Quarter": "2018-Q4"}, {"GDP": "0.176674988", "Country": "Argentina", "Quarter": "2019-Q1"}, {"GDP": "-0.428969962", "Country": "Argentina", "Quarter": "2019-Q2"}, {"GDP": "0.846522367", "Country": "Argentina", "Quarter": "2019-Q3"}, {"GDP": "-0.919976045", "Country": "Argentina", "Quarter": "2019-Q4"}, {"GDP": "-4.156615174", "Country": "Argentina", "Quarter": "2020-Q1"}, {"GDP": "-16.222777398", "Country": "Argentina", "Quarter": "2020-Q2"}, {"GDP": "0.186409991", "Country": "Australia", "Quarter": "2018-Q4"}, {"GDP": "0.497127843", "Country": "Australia", "Quarter": "2019-Q1"}, {"GDP": "0.649124817", "Country": "Australia", "Quarter": "2019-Q2"}, {"GDP": "0.607538848", "Country": "Australia", "Quarter": "2019-Q3"}, {"GDP": "0.393353994", "Country": "Australia", "Quarter": "2019-Q4"}, {"GDP": "-0.279320053", "Country": "Australia", "Quarter": "2020-Q1"}, {"GDP": "-7.027382636", "Country": "Australia", "Quarter": "2020-Q2"}, {"GDP": "3.328123983", "Country": "Australia", "Quarter": "2020-Q3"}, {"GDP": "0.850672169", "Country": "Austria", "Quarter": "2018-Q4"}, {"GDP": "0.80027473", "Country": "Austria", "Quarter": "2019-Q1"}, {"GDP": "-0.317891543", "Country": "Austria", "Quarter": "2019-Q2"}, {"GDP": "0.30910888", "Country": "Austria", "Quarter": "2019-Q3"}, {"GDP": "-0.53619398", "Country": "Austria", "Quarter": "2019-Q4"}, {"GDP": "-2.766996016", "Country": "Austria", "Quarter": "2020-Q1"}, {"GDP": "-11.567637769", "Country": "Austria", "Quarter": "2020-Q2"}, {"GDP": "11.964897099", "Country": "Austria", "Quarter": "2020-Q3"}, {"GDP": "0.860695515", "Country": "Belgium", "Quarter": "2018-Q4"}, {"GDP": "0.158868493", "Country": "Belgium", "Quarter": … |
2023-06-01 19:11:30 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | selection United States Germany Austria Sweden Spain Canada title GDP by quarter subtitle type LineChart hasMapTab false hideControls true ySlugs GDP sourceDesc https://data.oecd.org/gdp/quarterly-gdp.htm columns slug type name Country EntityName Country GDP Percentage GDP Quarter Quarter Quarter table Country GDP Quarter Argentina -1.035574913 2018-Q4 Argentina 0.176674988 2019-Q1 Argentina -0.428969962 2019-Q2 Argentina 0.846522367 2019-Q3 Argentina -0.919976045 2019-Q4 Argentina -4.156615174 2020-Q1 Argentina -16.222777398 2020-Q2 Australia 0.186409991 2018-Q4 Australia 0.497127843 2019-Q1 Australia 0.649124817 2019-Q2 Australia 0.607538848 2019-Q3 Australia 0.393353994 2019-Q4 Australia -0.279320053 2020-Q1 Australia -7.027382636 2020-Q2 Australia 3.328123983 2020-Q3 Austria 0.850672169 2018-Q4 Austria 0.80027473 2019-Q1 Austria -0.317891543 2019-Q2 Austria 0.30910888 2019-Q3 Austria -0.53619398 2019-Q4 Austria -2.766996016 2020-Q1 Austria -11.567637769 2020-Q2 Austria 11.964897099 2020-Q3 Belgium 0.860695515 2018-Q4 Belgium 0.158868493 2019-Q1 Belgium 0.311794723 2019-Q2 Belgium 0.506898702 2019-Q3 Belgium 0.609525864 2019-Q4 Belgium -3.416970477 2020-Q1 Belgium -11.817223003 2020-Q2 Belgium 11.441011383 2020-Q3 Brazil -0.496834472 2018-Q4 Brazil 1.281938697 2019-Q1 Brazil 0.196867523 2019-Q2 Brazil -0.156076473 2019-Q3 Brazil 0.22028172 2019-Q4 Brazil -1.545879168 2020-Q1 Brazil -9.599817806 2020-Q2 Brazil 7.707789052 2020-Q3 Bulgaria 0.866075138 2018-Q4 Bulgaria 1.253743415 2019-Q1 Bulgaria 0.591437158 2019-Q2 Bulgaria 0.567909373 2019-Q3 Bulgaria 0.640259306 2019-Q4 Bulgaria 0.445050608 2020-Q1 Bulgaria -10.069032243 2020-Q2 Bulgaria 4.299915446 2020-Q3 Canada 0.276436735 2018-Q4 Canada 0.088235138 2019-Q1 Canada 1.069136226 2019-Q2 Canada 0.45210412 2019-Q3 Canada 0.094407559 2019-Q4 Canada -1.87241647 2020-Q1 Canada -11.314573725 2020-Q2 Canada 8.874858409 2020-Q3 Chile 0.822710089 2018-Q4 Chile 0.071490463 2019-Q1 Chile 1.072555088 2019-… | False |
30 | 30 | global-food | {"tab": "map", "blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Almond production", "ySlugs": "production__tonnes", "tableSlug": "almonds", "yScaleToggle": "true", "Food Dropdown": "Almonds", "Metric Dropdown": "Production", "Per Capita Checkbox": "false"}, {"type": "LineChart", "title": "Per capita almond production", "ySlugs": "production__kg__per_capita", "tableSlug": "almonds", "yScaleToggle": "true", "Food Dropdown": "Almonds", "Metric Dropdown": "Production", "Per Capita Checkbox": "true"}, {"type": "LineChart", "title": "Almond yield", "ySlugs": "yield__tonnes_per_ha", "subtitle": "Yield is measured as the quantity produced per unit area of land used to grow it.", "tableSlug": "almonds", "yScaleToggle": "true", "Food Dropdown": "Almonds", "Metric Dropdown": "Yield", "Per Capita Checkbox": "false"}, {"type": "LineChart", "title": "Land used for almond production", "ySlugs": "area_harvested__ha", "subtitle": "The amount of cropland used for production.", "tableSlug": "almonds", "yScaleToggle": "true", "Food Dropdown": "Almonds", "Metric Dropdown": "Land Use", "Per Capita Checkbox": "false"}, {"type": "LineChart", "title": "Land used for almond production per capita", "ySlugs": "area_harvested__m2__per_capita", "subtitle": "The amount of cropland used for production.", "tableSlug": "almonds", "yScaleToggle": "true", "Food Dropdown": "Almonds", "Metric Dropdown": "Land Use", "Per Capita Checkbox": "true"}, {"note": "The FAO apply a methodological change from the year 2010 onwards.", "type": "LineChart", "title": "Per capita animal fat supply per year", "ySlugs": "food_available_for_consumption__kg_per_year__per_capita", "subtitle": "This measures the quantity that is available for consumption at the end of the supply chain. It does not account for consumer waste, so the quantity that is actually consumed may be lower than this value.", "tableSlug": "animal_fats", "Unit Radio": "Kilograms per year", "yScaleToggle": "true", "Food Dropdown": "Animal fats", "Metric Dropdown": "… |
2023-06-01 19:11:25 | 2025-04-14 15:55:23 | 74 | 2025-04-14 15:55:23 | Update explorer from ETL | # DO NOT EDIT THIS FILE BY HAND. It is automatically generated using a set of input files. Any changes made directly to it will be overwritten. explorerTitle Global Food explorerSubtitle Explore the world's food system crop-by-crop from production to plate. isPublished true wpBlockId 46846 thumbnail https://ourworldindata.org/app/uploads/2021/12/global-food-explorer-thumbnail.png selection United States Germany France United Kingdom Brazil South Africa yAxisMin 0 hasMapTab true tab map subNavId explorers subNavCurrentId global-food pickerColumnSlugs country population production__tonnes production__kg__per_capita producing_or_slaughtered_animals__animals producing_or_slaughtered_animals__animals__per_capita yield__tonnes_per_ha yield__kg_per_animal area_harvested__ha area_harvested__m2__per_capita food_available_for_consumption__kg_per_year__per_capita food_available_for_consumption__g_per_day__per_capita food_available_for_consumption__kcal_per_day__per_capita food_available_for_consumption__protein_g_per_day__per_capita food_available_for_consumption__fat_g_per_day__per_capita imports__tonnes imports__kg__per_capita exports__tonnes exports__kg__per_capita domestic_supply__tonnes domestic_supply__kg__per_capita waste_in_supply_chain__tonnes waste_in_supply_chain__kg__per_capita food__tonnes food__kg__per_capita other_uses__tonnes other_uses__kg__per_capita feed__tonnes feed__kg__per_capita graphers title Food Dropdown Metric Dropdown Unit Radio Per Capita Checkbox subtitle type ySlugs tableSlug note yScaleToggle defaultView Almond production Almonds Production false LineChart production__tonnes almonds true Per capita almond production Almonds Production true LineChart production__kg__per_capita almonds true Almond yield Almonds Yield false Yield is measured as the quantity produced per unit area of land used to grow it. LineChart yield__tonnes_per_ha almonds true Land used for almond production Almonds Land Use false The amount of cropland used for production. LineChart area_harvested__ha almo… | True |
31 | 31 | global-health | {"blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "712", "Metric Dropdown": "Rate", "Source Dropdown": "UN IGME", "Indicator Dropdown": "Child mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "952", "Metric Dropdown": "Rate", "Source Dropdown": "UN WPP", "Indicator Dropdown": "Child mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "677", "Metric Dropdown": "Rate", "Source Dropdown": "IHME", "Indicator Dropdown": "Child mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "2562", "Metric Dropdown": "Rate", "Source Dropdown": "OWID (spliced)", "Indicator Dropdown": "Child mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "6209", "Metric Dropdown": "Number of deaths", "Source Dropdown": "UN IGME", "Indicator Dropdown": "Child mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "6004", "Metric Dropdown": "Number of deaths", "Source Dropdown": "UN WPP", "Indicator Dropdown": "Child mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "3772", "Metric Dropdown": "Number of deaths", "Source Dropdown": "IHME", "Indicator Dropdown": "Child mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "3401", "Metric Dropdown": "Number of deaths", "Source Dropdown": "UN IGME", "Indicator Dropdown": "Infant mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "389", "Metric Dropdown": "Rate", "Source Dropdown": "UN IGME", "Indicator Dropdown": "Infant mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "3969", "Metric Dropdown": "Number of deaths", "Source Dropdown": "IHME", "Indicator Dropdown": "Infant mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "3798", "Metric Dropdown": "Rate", "Source Dropdown": "IHME", "Indicator Dropdown": "Infant mortality", "Health Area Dropdown": "Child health"}, {"grapherId": "6005", "Metric Dropdown": "Number of deaths", "Source Dropdown": "UN WPP", "Indicator Dropdown": "Infant mortality", "Health Area Dropdown": "Child health… |
2023-06-01 19:11:32 | 2025-04-04 04:21:31 | 54 | 2025-02-13 09:27:03 | Updated global-health | explorerTitle Global Health explorerSubtitle Explore data on child and maternal health, diseases, life expectancy, and health systems around the world. isPublished true thumbnail https://assets.ourworldindata.org/uploads/2022/10/Global-Health-Explorer.png wpBlockId 54262 selection World China South Africa Brazil United States United Kingdom India Rwanda graphers grapherId Health Area Dropdown Indicator Dropdown Metric Dropdown Source Dropdown selectedFacetStrategy 712 Child health Child mortality Rate UN IGME 952 Child health Child mortality Rate UN WPP 677 Child health Child mortality Rate IHME 2562 Child health Child mortality Rate OWID (spliced) 6209 Child health Child mortality Number of deaths UN IGME 6004 Child health Child mortality Number of deaths UN WPP 3772 Child health Child mortality Number of deaths IHME 3401 Child health Infant mortality Number of deaths UN IGME 389 Child health Infant mortality Rate UN IGME 3969 Child health Infant mortality Number of deaths IHME 3798 Child health Infant mortality Rate IHME 6005 Child health Infant mortality Number of deaths UN WPP 5942 Child health Infant mortality Rate UN WPP 3799 Child health Neonatal mortality Number of deaths IHME 3485 Child health Neonatal mortality Rate IHME 3968 Child health Neonatal mortality Number of deaths UN IGME 714 Child health Neonatal mortality Rate UN IGME 6215 Child health Youth mortality Number of deaths UN IGME 3475 Child health Youth mortality Rate UN IGME 703 Child health Childhood stunting Share of children WHO 5582 Child health Childhood stunting Number of children WHO 792 Child health Childhood wasting Share of children World Bank 4580 Child health Childhood wasting Number of children World Bank 790 Child health Children underweight Share of children World Bank 6083 Child health Children underweight Number of children World Bank 3874 Child health Exclusive breastfeeding rate Share of infants UNICEF 4829 Maternal health Maternal mortality Rate per 100,000 live births WHO (GHO) 660 Maternal heal… | True |
32 | 32 | google-sheets-2020-review | {"blocks": [{"args": ["https://docs.google.com/spreadsheets/d/1lbLQAmTygJlD5U9UQBNY2Uv0UAWgA0rpc1ip-Uk-_Vw/export?format=csv"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Page views", "ySlugs": "page_views", "Metric Dropdown": "Page views"}, {"type": "LineChart", "title": "Unique page views", "ySlugs": "unique_pageviews", "Metric Dropdown": "Unique page views"}]}, {"args": [], "type": "columns", "block": [{"name": "Day", "slug": "date", "type": "Date"}, {"name": "Page views", "slug": "page_views", "type": "Integer", "sourceLink": "www.one.two", "sourceName": "Google Analytics", "additionalInfo": "Well let's describe something in <br> quite the length and see if we can do a line break using Shift + Enter. No that doesn't work but what about instead of <p>, does that work?</p>"}, {"name": "Unique page views", "slug": "unique_pageviews", "type": "Integer", "sourceName": "Google Analytics"}]}], "_version": 1, "hasMapTab": "true", "isPublished": "false", "explorerTitle": "2020 Review 2"} |
2023-06-01 19:11:23 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle 2020 Review 2 hasMapTab true table https://docs.google.com/spreadsheets/d/1lbLQAmTygJlD5U9UQBNY2Uv0UAWgA0rpc1ip-Uk-_Vw/export?format=csv graphers Metric Dropdown type ySlugs title Page views LineChart page_views Page views Unique page views LineChart unique_pageviews Unique page views columns slug name type sourceName sourceLink additionalInfo date Day Date page_views Page views Integer Google Analytics www.one.two Well let's describe something in <br> quite the length and see if we can do a line break using Shift + Enter. No that doesn't work but what about instead of <p>, does that work?</p> unique_pageviews Unique page views Integer Google Analytics | False |
33 | 33 | grapher-template | {"type": "DiscreteBar", "title": "Population of different countries", "blocks": [{"args": [], "type": "table", "block": [{"Year": "2020", "Country": "Canada", "Population": "32000000", "MapleleafsInFlag": "1"}, {"Year": "2020", "Country": "India", "Population": "1000000000", "MapleleafsInFlag": "0"}, {"Year": "2020", "Country": "France", "Population": "50000000", "MapleleafsInFlag": "0"}]}, {"args": [], "type": "columns", "block": [{"name": "Country", "slug": "Country", "type": "EntityName", "notes": "Unreviewed"}, {"name": "Population", "slug": "Population", "type": "Numeric", "notes": "Unreviewed"}, {"name": "Year", "slug": "Year", "type": "Year", "notes": "Unreviewed"}, {"name": "MapleleafsInFlag", "slug": "MapleleafsInFlag", "type": "Numeric", "notes": "Unreviewed"}]}], "ySlugs": "Population", "_version": 1, "subtitle": "How many people live in each country?", "hasMapTab": "true", "selection": ["Canada", "India"], "isPublished": "false", "hideControls": "true"} |
2023-06-01 19:11:29 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | selection Canada India title Population of different countries subtitle How many people live in each country? type DiscreteBar hasMapTab true hideControls true ySlugs Population table Country Population Year MapleleafsInFlag Canada 32000000 2020 1 India 1000000000 2020 0 France 50000000 2020 0 columns slug type name notes Country EntityName Country Unreviewed Population Numeric Population Unreviewed Year Year Year Unreviewed MapleleafsInFlag Numeric MapleleafsInFlag Unreviewed | False |
34 | 34 | habitat-loss | {"tab": "map", "blocks": [{"args": ["https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Biodiversity%20habitat%20loss%20(Williams%20et%20al.%202021)/Biodiversity%20habitat%20loss%20(Williams%20et%20al.%202021).csv", "habitat"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"type": "DiscreteBar", "title": "Projected habitat loss for all species in 2050: Business-as-usual", "ySlugs": "bau_habitat_loss_all", "subtitle": "Projected habitat loss for mammal, bird and amphibian species by 2050 under a business-as-usual scenario. This assumes population growth from UN medium projections; crop yield increases in line with historical rates of improvement; and dietary changes in line with projected rises in income.", "hasMapTab": "true", "tableSlug": "habitat", "sourceDesc": "Williams, D. R., Clark, M., Buchanan, G. M., Ficetola, G. F., Rondinini, C., & Tilman, D. (2021). Proactive conservation to prevent habitat losses to agricultural expansion. Nature Sustainability, 4(4), 314-322.", "yScaleToggle": "false", "baseColorScheme": "owid-distinct", "Scenario Dropdown": "Business-as-usual", "Species Group Radio": "All vertebrates", "Projected change by 2050 Radio": "Species habitat loss"}, {"type": "DiscreteBar", "title": "Projected habitat loss for all species in 2050: Combined interventions", "ySlugs": "combined_habitat_loss_all", "subtitle": "Projected habitat loss for mammal, bird and amphibian species by 2050 if all approaches are combined: (1) closing yield gaps; (2) halving food waste; (3) global adoption of healthy diets in line with nutritional requirements; and (4) the optimisation of agricultural production to avoid the most at-risk locations for habitat loss.", "hasMapTab": "true", "tableSlug": "habitat", "sourceDesc": "Williams, D. R., Clark, M., Buchanan, G. M., Ficetola, G. F., Rondinini, C., & Tilman, D. (2021). Proactive conservation to prevent habitat losses to agricultural expansion. Nature Sustainability, 4(4), 314-322.", "yScaleToggle": "false", "baseColorSch… |
2023-06-01 19:11:29 | 2025-04-04 04:21:31 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Species Habitat Availability explorerSubtitle Explore future projections of species' habitats under different agricultural interventions. isPublished true googleSheet https://docs.google.com/spreadsheets/d/1x12v5seRx-lf_nCmLI_RxhCd33brqcMAMVbi1vKKXTM/edit#gid=0 selection World Sub-Saharan Africa South and East Asia Europe North America Latin America North Africa Oceania hideAlertBanner true subNavId explorers subNavCurrentId habitat-loss hasMapTab true yAxisMin table https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Biodiversity%20habitat%20loss%20(Williams%20et%20al.%202021)/Biodiversity%20habitat%20loss%20(Williams%20et%20al.%202021).csv habitat downloadDataLink https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Biodiversity%20habitat%20loss%20(Williams%20et%20al.%202021)/Biodiversity%20habitat%20loss%20(Williams%20et%20al.%202021).csv hideAnnotationFieldsInTitle true tab map graphers title subtitle Projected change by 2050 Radio Species Group Radio Scenario Dropdown tableSlug ySlugs yScaleToggle xSlug baseColorScheme type hasMapTab grapherId sourceDesc note Projected habitat loss for all species in 2050: Business-as-usual Projected habitat loss for mammal, bird and amphibian species by 2050 under a business-as-usual scenario. This assumes population growth from UN medium projections; crop yield increases in line with historical rates of improvement; and dietary changes in line with projected rises in income. Species habitat loss All vertebrates Business-as-usual habitat bau_habitat_loss_all false owid-distinct DiscreteBar true Williams, D. R., Clark, M., Buchanan, G. M., Ficetola, G. F., Rondinini, C., & Tilman, D. (2021). Proactive conservation to prevent habitat losses to agricultural expansion. Nature Sustainability, 4(4), 314-322. Projected habitat loss for all species in 2050: Combined interventions Projected habitat loss for mammal, bird and amphibian species by 2050 if all approaches are combined: (1) closing yield gaps; (2) halving food waste; (3)… | True |
35 | 35 | impacts-of-energy-sources | {"blocks": [{"args": ["https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Life-cycle%20impacts%20of%20energy%20sources%20(UNECE)/Life-cycle%20impacts%20of%20energy%20sources%20(UNECE).csv", "energy"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"type": "DiscreteBar", "title": "Greenhouse gas emissions per unit of electricity", "ySlugs": "ghg_emissions", "subtitle": "Lifecycle greenhouse gas emissions measure amount of total greenhouse gases emitted over a technology's full supply chain. This includes emissions from the burning of fuels, in addition to those generated through the mining of materials, and production of energy technologies. This is measured per megawatt-hour of electricity.", "hasMapTab": "false", "tableSlug": "energy", "yScaleToggle": "false", "baseColorScheme": "owid-distinct", "Impact metric Dropdown": "Greenhouse gas emissions"}, {"note": "This is shown as the average land use of different energy technologies. There can be significant variability depending on location, materials, and infrastructure decisions. See our related article for the full range of land use comparisons.", "type": "DiscreteBar", "title": "Land use per unit of electricity", "ySlugs": "land_use_energy", "subtitle": "Land use is measured as the total amount of land needed per unit of electricity production. This includes direct land use – the land used by a power plant, or solar farm – plus indirect land use from the mining of fuels and materials. This is measured in per megawatt-hour of electricity production.", "hasMapTab": "false", "tableSlug": "energy", "yScaleToggle": "false", "baseColorScheme": "owid-distinct", "relatedQuestionUrl": "https://ourworldindata.org/land-use-per-energy-source", "relatedQuestionText": "How does the land use of different energy sources compare?", "Impact metric Dropdown": "Land use"}, {"type": "DiscreteBar", "title": "Dissipated water use per unit of electricity", "ySlugs": "water_use", "subtitle": "Dissipated water is water that is not immediat… |
2023-06-01 19:11:30 | 2025-04-04 04:21:31 | 49 | 2024-12-03 12:34:12 | impacts-of-energy-sources: Remove empty explorerSubtitle row | explorerTitle Impacts of Energy Production explorerSubtitle Explore the environmental and health impacts of electricity sources. isPublished true selection Coal Gas Nuclear Onshore wind Offshore wind Hydropower Solar PV, silicon (on-ground) Solar PV, cadmium (on-ground) hideAlertBanner true subNavId wpBlockId 47482 entityType source hasMapTab false table https://raw.githubusercontent.com/owid/owid-datasets/master/datasets/Life-cycle%20impacts%20of%20energy%20sources%20(UNECE)/Life-cycle%20impacts%20of%20energy%20sources%20(UNECE).csv energy hideAnnotationFieldsInTitle true graphers title subtitle Impact metric Dropdown Sub-metric Dropdown tableSlug ySlugs yScaleToggle xSlug baseColorScheme type hasMapTab grapherId sourceDesc note relatedQuestionUrl relatedQuestionText Greenhouse gas emissions per unit of electricity Lifecycle greenhouse gas emissions measure amount of total greenhouse gases emitted over a technology's full supply chain. This includes emissions from the burning of fuels, in addition to those generated through the mining of materials, and production of energy technologies. This is measured per megawatt-hour of electricity. Greenhouse gas emissions energy ghg_emissions false owid-distinct DiscreteBar false Land use per unit of electricity Land use is measured as the total amount of land needed per unit of electricity production. This includes direct land use – the land used by a power plant, or solar farm – plus indirect land use from the mining of fuels and materials. This is measured in per megawatt-hour of electricity production. Land use energy land_use_energy false owid-distinct DiscreteBar false This is shown as the average land use of different energy technologies. There can be significant variability depending on location, materials, and infrastructure decisions. See our related article for the full range of land use comparisons. https://ourworldindata.org/land-use-per-energy-source How does the land use of different energy sources compare? Dissipated water use per unit of electric… | True |
36 | 36 | incomes-across-distribution-comparison | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "chart", "note": "This data is adjusted for inflation and differences in living costs between countries. Both LIS and PIP data are measured in 2017 [int-$](#dod:int_dollar_abbreviation), while WID is measured in 2023 int-$.", "title": "Mean income per day (after tax)", "ySlugs": "mean_day p0p100_avg_posttax_nat_day mean_dhi_pc_day", "subtitle": "LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "Period Radio": "Day", "yScaleToggle": "true", "Indicator Dropdown": "Mean income or consumption", "hideRelativeToggle": "false", "selectedFacetStrategy": "entity", "Income measure Dropdown": "After tax"}, {"tab": "chart", "note": "This data is adjusted for inflation and differences in living costs between countries. Both LIS and PIP data are measured in 2017 [int-$](#dod:int_dollar_abbreviation), while WID is measured in 2023 int-$.", "title": "Mean income per month (after tax)", "ySlugs": "mean_month p0p100_avg_posttax_nat_month mean_dhi_pc_month", "subtitle": "LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "Period Radio": "Month", "yScaleToggle": "true", "Indicator Dropdown": "Mean income or consumption", "hideRelativeToggle": "false", "selectedFacetStrategy": "entity", "Income measure Dropdown": "After tax"}, {"tab": "chart", "note": "This data is adjusted for inflation and differences in living costs between countries. Both LIS and PIP data are measured in 2017 [int-$](#dod:int_dollar_a… |
2023-06-23 15:51:09 | 2025-04-04 04:21:31 | 62 | 2025-03-19 14:55:06 | :sparkles: update year (#92) | explorerTitle Incomes Across the Distribution - World Bank, WID, and LIS selection Chile Brazil South Africa United States France China explorerSubtitle Compare World Bank, WID, and LIS data on the distribution of incomes. isPublished true googleSheet wpBlockId 57742 entityType country or region pickerColumnSlugs mean_year median_year p0p100_avg_posttax_nat_year median_posttax_nat_year mean_dhi_pc_year median_dhi_pc_year graphers title ySlugs Indicator Dropdown Decile Dropdown Income measure Dropdown Period Radio hideRelativeToggle subtitle note yScaleToggle tableSlug yAxisMin selectedFacetStrategy hasMapTab tab relatedQuestionText relatedQuestionUrl defaultView Mean income per day (after tax) mean_day p0p100_avg_posttax_nat_day mean_dhi_pc_day Mean income or consumption After tax Day false LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita. This data is adjusted for inflation and differences in living costs between countries. Both LIS and PIP data are measured in 2017 [int-$](#dod:int_dollar_abbreviation), while WID is measured in 2023 int-$. true poverty_inequality 0 entity false chart Mean income per month (after tax) mean_month p0p100_avg_posttax_nat_month mean_dhi_pc_month Mean income or consumption After tax Month false LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita. This data is adjusted for inflation and differences in living costs between countries. Both LIS and PIP data are measured in 2017 [int-$](#dod:int_dollar_abbreviation), while WID is measured in 2023 int-$. true poverty_inequality 0 entity false chart Mean income per year (after … | True |
37 | 37 | incomes-across-distribution-lis | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "title": "Mean income per day (after tax)", "ySlugs": "mean_dhi_eq_day", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries. Income here is measured after taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "lis_vars", "Period Radio": "Day", "yScaleToggle": "true", "Indicator Dropdown": "Mean income", "Income measure Dropdown": "After tax", "Adjust for cost sharing within households (equivalized income) Checkbox": "true"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "title": "Mean income per day (before tax)", "ySlugs": "mean_mi_eq_day", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries. Income here is measured before taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "lis_vars", "Period Radio": "Day", "yScaleToggle": "true", "Indicator Dropdown": "Mean income", "Income measure Dropdown": "Before tax", "Adjust for cost sharing within households (equivalized income) Checkbox": "true"}, {"tab": "chart", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "title": "Mean income per day (after tax vs. before tax)", "ySlugs": "mean_mi_eq_day mean_dhi_eq_day", "subtitle": "This data is adjusted for inflation and for diff… |
2024-02-02 18:43:20 | 2025-04-04 04:21:31 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Incomes Across the Distribution - Luxembourg Income Study selection Chile Brazil South Africa United States France China explorerSubtitle Explore Luxembourg Income Study data on the distribution of incomes. isPublished true googleSheet https://docs.google.com/spreadsheets/d/1UFdwB1iBpP2tEP6GtxCHvW1GGhjsFflh42FWR80rYIg wpBlockId 57755 entityType country or region pickerColumnSlugs mean_mi_eq_year median_mi_eq_year mean_dhi_eq_year median_dhi_eq_year graphers title ySlugs Indicator Dropdown Decile Dropdown Income measure Dropdown Period Radio Adjust for cost sharing within households (equivalized income) Checkbox subtitle note selectedFacetStrategy hasMapTab tab yScaleToggle hideRelativeToggle tableSlug relatedQuestionText relatedQuestionUrl yAxisMin defaultView Mean income per day (after tax) mean_dhi_eq_day Mean income After tax Day true This data is adjusted for inflation and for differences in living costs between countries. Income here is measured after taxes and benefits. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating. true map true lis_vars 0 Mean income per day (before tax) mean_mi_eq_day Mean income Before tax Day true This data is adjusted for inflation and for differences in living costs between countries. Income here is measured before taxes and benefits. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating. true map true lis_vars 0 Mean income per day (after tax vs. before tax) mean_mi_eq_day mean_dhi_eq_day Mean income After tax vs. before tax Day true This data is adjusted for inflation and for differences in living costs between countries. This … | True |
38 | 38 | incomes-across-distribution-wb | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Mean income or consumption per day", "ySlugs": "mean_day", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "Period Radio": "Day", "yScaleToggle": "true", "Indicator Dropdown": "Mean income or consumption", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Mean income or consumption per month", "ySlugs": "mean_month", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "Period Radio": "Month", "yScaleToggle": "true", "Indicator Dropdown": "Mean income or consumption", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Mean income or consumption per year", "ySlugs": "mean_year", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "… |
2024-02-02 18:43:23 | 2025-04-04 04:21:32 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Incomes Across the Distribution - World Bank selection Mozambique Nigeria Kenya Bangladesh Bolivia World explorerSubtitle Explore World Bank data on the distribution of incomes. isPublished true googleSheet https://docs.google.com/spreadsheets/d/17KJ9YcvfdmO_7-Sv2Ij0vmzAQI6rXSIqHfJtgFHN-a8 wpBlockId 57756 entityType country or region pickerColumnSlugs mean_year median_year graphers title ySlugs Indicator Dropdown Decile Dropdown Household survey data type Dropdown Period Radio Show breaks between less comparable surveys Checkbox tableSlug subtitle note type yAxisMin selectedFacetStrategy hasMapTab tab yScaleToggle hideRelativeToggle relatedQuestionText relatedQuestionUrl defaultView Mean income or consumption per day mean_day Mean income or consumption Show data from both income and consumption surveys Day false income_consumption_2017 This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map true Mean income or consumption per month mean_month Mean income or consumption Show data from both income and consumption surveys Month false income_consumption_2017 This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map true Mean income or consumption per year mean_year Mean income or consumption Show data from both income and consumption surveys Year false income_consumption_2017 This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [internationa… | True |
39 | 39 | incomes-across-distribution-wid | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2023 prices. ", "title": "Mean income per day (after tax)", "ySlugs": "p0p100_avg_posttax_nat_day", "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "wid_vars", "Period Radio": "Day", "yScaleToggle": "true", "Indicator Dropdown": "Mean income", "Income measure Dropdown": "After tax"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2023 prices. Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions.", "title": "Mean income per day (before tax)", "ySlugs": "p0p100_avg_pretax_day", "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "wid_vars", "Period Radio": "Day", "yScaleToggle": "true", "Indicator Dropdown": "Mean income", "Income measure Dropdown": "Before tax"}, {"tab": "chart", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2023 prices.", "title": "Mean income per day (after tax vs. before tax)", "ySlugs": "p0p100_avg_pretax_day p0p100_avg_posttax_nat_day", "subtitle": "This data is adjusted for inflation and for differences in the cost of living between countries.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "wid_vars", "Period Radio": "Day", "yScaleToggle": "true", "Indicator Dropdown": "Mean income", "selectedFacetStrategy": "entity", "Income measure Dropdown": "After tax vs. before tax"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2023 prices. ", "title": "Mean income per month (after tax)", "ySlugs": "p0p100_… |
2024-02-02 18:43:22 | 2025-04-04 04:21:33 | 62 | 2025-03-19 14:55:06 | :sparkles: update year (#92) | explorerTitle Incomes Across the Distribution - World Inequality Database selection Chile Brazil Mexico United States France Greece explorerSubtitle Explore World Inequality Database data on the distribution of incomes. isPublished true googleSheet https://docs.google.com/spreadsheets/d/18T5IGnpyJwb8KL9USYvME6IaLEcYIo26ioHCpkDnwRQ wpBlockId 57750 entityType country or region pickerColumnSlugs p0p100_avg_pretax_year p0p100_avg_posttax_nat_year median_pretax_year median_posttax_nat_year graphers title ySlugs Indicator Dropdown Decile/quantile Dropdown Income measure Dropdown Period Radio subtitle note selectedFacetStrategy hasMapTab tab yScaleToggle hideRelativeToggle tableSlug relatedQuestionText relatedQuestionUrl yAxisMin defaultView Mean income per day (after tax) p0p100_avg_posttax_nat_day Mean income After tax Day This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured after taxes and benefits. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2023 prices. true map true wid_vars 0 Mean income per day (before tax) p0p100_avg_pretax_day Mean income Before tax Day This data is adjusted for inflation and for differences in the cost of living between countries. Income here is measured before taxes and benefits. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2023 prices. Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions. true map true wid_vars 0 Mean income per day (after tax vs. before tax) p0p100_avg_pretax_day p0p100_avg_posttax_nat_day Mean income After tax vs. before tax Day This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2023 prices. entity false chart true wid_vars 0 Mean income per month (after tax) p0p100_avg_posttax_nat_month Mean in… | True |
40 | 40 | incomes-across-distribution-world-bank-pip-data | {"blocks": [{"args": [], "type": "graphers", "block": [{"note": "This data is expressed in international-$ at 2011 prices.", "title": "Mean daily income or consumption", "ySlugs": "mean_daily", "subtitle": "This data is adjusted for differences in the cost of living between countries and for inflation. It includes extrapolated estimates for years without survey data.", "yAxisMin": "0", "tableSlug": "inc_or_cons_extrap", "yScaleToggle": "true", "Metric Dropdown": "Mean, per day", "Household survey data type Radio": "Either income or consumption", "Show extrapolated estimates for years with no survey data Checkbox": "true"}, {"note": "This data is expressed in international-$ at 2011 prices.", "title": "Mean daily income", "ySlugs": "mean_daily", "subtitle": "This data is adjusted for differences in the cost of living between countries and for inflation. It includes extrapolated estimates for years without survey data.", "yAxisMin": "0", "tableSlug": "inc_extrap", "yScaleToggle": "true", "Metric Dropdown": "Mean, per day", "Household survey data type Radio": "Incomes only", "Show extrapolated estimates for years with no survey data Checkbox": "true"}, {"note": "This data is expressed in international-$ at 2011 prices.", "title": "Mean daily consumption", "ySlugs": "mean_daily", "subtitle": "This data is adjusted for differences in the cost of living between countries and for inflation. It includes extrapolated estimates for years without survey data.", "yAxisMin": "0", "tableSlug": "cons_extrap", "yScaleToggle": "true", "Metric Dropdown": "Mean, per day", "Household survey data type Radio": "Consumption only", "Show extrapolated estimates for years with no survey data Checkbox": "true"}, {"note": "This data is expressed in international-$ at 2011 prices.", "title": "Mean daily income or consumption", "ySlugs": "mean_daily", "subtitle": "This data is adjusted for differences in the cost of living between countries and for inflation.", "yAxisMin": "0", "tableSlug": "inc_or_cons_no_extrap", "yScaleToggle": "true", "Me… |
2023-06-01 19:11:24 | 2025-04-04 04:21:33 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Incomes across the distribution (World Bank PIP) selection Madagascar India Vietnam Brazil Greece United States isPublished false googleSheet https://docs.google.com/spreadsheets/d/1K572GXWWoGfFfKU7mGRxv7ghgs1p1onhHm-pIViNDeE/edit#gid=424037824 hasMapTab true graphers ySlugs title Metric Dropdown Decile Dropdown Household survey data type Radio Show extrapolated estimates for years with no survey data Checkbox subtitle note tableSlug yAxisMin selectedFacetStrategy facetYDomain type yScaleToggle defaultView mean_daily Mean daily income or consumption Mean, per day Either income or consumption true This data is adjusted for differences in the cost of living between countries and for inflation. It includes extrapolated estimates for years without survey data. This data is expressed in international-$ at 2011 prices. inc_or_cons_extrap 0 true mean_daily Mean daily income Mean, per day Incomes only true This data is adjusted for differences in the cost of living between countries and for inflation. It includes extrapolated estimates for years without survey data. This data is expressed in international-$ at 2011 prices. inc_extrap 0 true mean_daily Mean daily consumption Mean, per day Consumption only true This data is adjusted for differences in the cost of living between countries and for inflation. It includes extrapolated estimates for years without survey data. This data is expressed in international-$ at 2011 prices. cons_extrap 0 true mean_daily Mean daily income or consumption Mean, per day Either income or consumption false This data is adjusted for differences in the cost of living between countries and for inflation. This data is expressed in international-$ at 2011 prices. inc_or_cons_no_extrap 0 true mean_daily Mean daily income Mean, per day Incomes only false This data is adjusted for differences in the cost of living between countries and for inflation. This data is expressed in international-$ at 2011 prices. inc_no_extrap 0 true mean_daily Mean daily consumpt… | False |
41 | 41 | inequality | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions.", "title": "Gini coefficient", "ySlugs": "p0p100_gini_pretax", "subtitle": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Inequality is measured here in terms of income before taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "wid_vars", "Data Radio": "World Inequality Database (Incomes before tax)", "defaultView": "true", "Indicator Dropdown": "Gini coefficient"}, {"tab": "map", "note": "Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions.", "title": "Income share of the richest 10%", "ySlugs": "p90p100_share_pretax", "subtitle": "The share of income received by the richest 10% of the population. Income here is measured before taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "wid_vars", "Data Radio": "World Inequality Database (Incomes before tax)", "Indicator Dropdown": "Share of the richest 10%"}, {"tab": "map", "note": "Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions.", "title": "Income share of the richest 1%", "ySlugs": "p99p100_share_pretax", "subtitle": "The share of income received by the richest 1% of the population. Income here is measured before taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "wid_vars", "Data Radio": "World Inequality Database (Incomes before tax)", "Indicator Dropdown": "Share of the richest 1%"}, {"tab": "map", "note": "Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions.", "title": "Income share of the richest 0.1%", "ySlugs": "p99_9p100_share_pretax", "subtitle": "The share of income received by the richest 0.1% of the population. Income her… |
2023-06-01 19:11:32 | 2025-04-04 04:21:33 | 62 | 2025-03-19 14:55:06 | :sparkles: update year (#92) | explorerTitle Economic Inequality selection Chile Brazil South Africa United States France China explorerSubtitle Explore key inequality indicators from the World Inequality Database and the World Bank. isPublished true googleSheet wpBlockId 57760 entityType country or region pickerColumnSlugs gini decile10_share palma_ratio headcount_ratio_50_median p0p100_gini_pretax p90p100_share_pretax palma_ratio_pretax graphers title ySlugs Data Radio Indicator Dropdown subtitle note type selectedFacetStrategy hasMapTab tab tableSlug yAxisMin relatedQuestionText relatedQuestionUrl defaultView Gini coefficient p0p100_gini_pretax World Inequality Database (Incomes before tax) Gini coefficient The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Inequality is measured here in terms of income before taxes and benefits. Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions. true map wid_vars 0 true Income share of the richest 10% p90p100_share_pretax World Inequality Database (Incomes before tax) Share of the richest 10% The share of income received by the richest 10% of the population. Income here is measured before taxes and benefits. Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions. true map wid_vars 0 Income share of the richest 1% p99p100_share_pretax World Inequality Database (Incomes before tax) Share of the richest 1% The share of income received by the richest 1% of the population. Income here is measured before taxes and benefits. Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions. true map wid_vars 0 Income share of the richest 0.1% p99_9p100_share_pretax World Inequality Database (Incomes before tax) Share of the richest 0.1% The share of income received by the richest 0.1% of the population. Income h… | True |
42 | 42 | inequality-comparison | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "chart", "note": "LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita.", "title": "Gini coefficient (after tax)", "ySlugs": "gini p0p100_gini_posttax_nat gini_dhi_pc", "subtitle": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The definition of income varies across the data sources.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "defaultView": "true", "Indicator Dropdown": "Gini coefficient", "selectedFacetStrategy": "entity", "Income measure Dropdown": "After tax"}, {"tab": "chart", "note": "LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita.", "title": "Income share of the richest 10% (after tax)", "ySlugs": "decile10_share p90p100_share_posttax_nat share_p100_dhi_pc", "subtitle": "The share of income received by the richest 10% of the population. The definition of income varies across the data sources.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "Indicator Dropdown": "Share of the richest 10%", "selectedFacetStrategy": "entity", "Income measure Dropdown": "After tax"}, {"tab": "chart", "note": "LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita.", "title": "Income share of the poorest 50% (after tax)", "ySlugs": "bottom50_share p0p50_share_posttax_nat share_bottom50_dhi_pc", "subtitle": "The share of income r… |
2023-06-23 15:51:05 | 2025-04-04 04:21:33 | 62 | 2025-03-19 14:55:06 | :sparkles: update year (#92) | explorerTitle Inequality - World Bank, WID, and LIS selection Chile Brazil South Africa United States France China explorerSubtitle Compare World Bank, WID, and LIS data on inequality. isPublished true googleSheet wpBlockId 57742 entityType country or region pickerColumnSlugs gini decile10_share palma_ratio headcount_ratio_50_median p0p100_gini_posttax_nat p90p100_share_posttax_nat palma_ratio_posttax_nat gini_dhi_pc share_p100_dhi_pc palma_ratio_dhi_pc headcount_ratio_50_median_dhi_pc graphers title ySlugs Indicator Dropdown Income measure Dropdown subtitle note type tableSlug yAxisMin selectedFacetStrategy hasMapTab tab relatedQuestionText relatedQuestionUrl defaultView Gini coefficient (after tax) gini p0p100_gini_posttax_nat gini_dhi_pc Gini coefficient After tax The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. The definition of income varies across the data sources. LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita. poverty_inequality 0 entity false chart true Income share of the richest 10% (after tax) decile10_share p90p100_share_posttax_nat share_p100_dhi_pc Share of the richest 10% After tax The share of income received by the richest 10% of the population. The definition of income varies across the data sources. LIS data refers to disposable household income [per capita](#dod:per-capita), WID data to net national income after tax per adult, and, depending on the country and year, PIP data refers to income measured after taxes and benefits, or to consumption, per capita. poverty_inequality 0 entity false chart Income share of the poorest 50% (after tax) bottom50_share p0p50_share_posttax_nat share_bottom50_dhi_pc Share of the poorest 50% After tax The share of income received by the poorest 5… | True |
43 | 43 | inequality-lis | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "title": "Gini coefficient (after tax)", "ySlugs": "gini_dhi_eq", "subtitle": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Inequality is measured here in terms of income after taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "lis_vars", "Indicator Dropdown": "Gini coefficient", "Income measure Dropdown": "After tax", "Adjust for cost sharing within households (equivalized income) Checkbox": "true"}, {"tab": "map", "note": "Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "title": "Income share of the richest 10% (after tax)", "ySlugs": "share_p100_dhi_eq", "subtitle": "The share of income received by the richest 10% of the population. Income here is measured after taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "lis_vars", "Indicator Dropdown": "Share of the richest 10%", "Income measure Dropdown": "After tax", "Adjust for cost sharing within households (equivalized income) Checkbox": "true"}, {"tab": "map", "note": "Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "title": "Income share of the poorest 50% (after tax)", "ySlugs": "share_bottom50_dhi_eq", "subtitle": "The share of income received by the poorest 50% of the population. Income here is measured after taxes and benefits.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "lis_vars", "Indicator Dropdown": "Share of the poorest 50%", "Income measure Dropdown": "After tax", "Adjust for cost sharing within households (equivalized income) Checkbox": "true"}, {"tab": "map", "note": "Income h… |
2024-02-02 18:43:27 | 2025-04-04 04:21:33 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Inequality - Luxembourg Income Study selection Chile Brazil South Africa United States France China explorerSubtitle Explore Luxembourg Income Study data on inequality. isPublished true googleSheet https://docs.google.com/spreadsheets/d/1UFdwB1iBpP2tEP6GtxCHvW1GGhjsFflh42FWR80rYIg wpBlockId 57755 entityType country or region pickerColumnSlugs gini_mi_eq share_p100_mi_eq palma_ratio_mi_eq headcount_ratio_50_median_mi_eq gini_dhi_eq share_p100_dhi_eq palma_ratio_dhi_eq headcount_ratio_50_median_dhi_eq graphers title ySlugs Indicator Dropdown Income measure Dropdown Adjust for cost sharing within households (equivalized income) Checkbox subtitle note selectedFacetStrategy hasMapTab tab type tableSlug relatedQuestionText relatedQuestionUrl yAxisMin defaultView Gini coefficient (after tax) gini_dhi_eq Gini coefficient After tax true The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Inequality is measured here in terms of income after taxes and benefits. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating. true map lis_vars 0 Income share of the richest 10% (after tax) share_p100_dhi_eq Share of the richest 10% After tax true The share of income received by the richest 10% of the population. Income here is measured after taxes and benefits. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating. true map lis_vars 0 Income share of the poorest 50% (after tax) share_bottom50_dhi_eq Share of the poorest 50% After tax true The share of income received by the poorest 50% of the population. Income here is measured after taxes and benefits. Income has been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating. true… | True |
44 | 44 | inequality-wb | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "title": "Gini coefficient", "ySlugs": "gini", "subtitle": "The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "defaultView": "true", "Indicator Dropdown": "Gini coefficient", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Income or consumption share of the richest 10%", "ySlugs": "decile10_share", "subtitle": "The share of after tax income or consumption received by the richest 10% of the population.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "Indicator Dropdown": "Share of the richest 10%", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "title": "Palma ratio", "ySlugs": "palma_ratio", "subtitle": "The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "Indicator Dropdown": "Palma ratio", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "Dependi… |
2024-02-02 18:43:22 | 2025-04-04 04:21:33 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Inequality - World Bank selection Chile Brazil South Africa United States France China explorerSubtitle Explore World Bank data on inequality. isPublished true googleSheet https://docs.google.com/spreadsheets/d/17KJ9YcvfdmO_7-Sv2Ij0vmzAQI6rXSIqHfJtgFHN-a8 wpBlockId 57756 entityType country or region pickerColumnSlugs gini decile10_share palma_ratio headcount_ratio_50_median graphers title ySlugs Indicator Dropdown Household survey data type Dropdown tableSlug subtitle note type yAxisMin selectedFacetStrategy hasMapTab tab Show breaks between less comparable surveys Checkbox relatedQuestionText relatedQuestionUrl defaultView Gini coefficient gini Gini coefficient Show data from both income and consumption surveys income_consumption_2017 The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false true Income or consumption share of the richest 10% decile10_share Share of the richest 10% Show data from both income and consumption surveys income_consumption_2017 The share of after tax income or consumption received by the richest 10% of the population. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Palma ratio palma_ratio Palma ratio Show data from both income and consumption surveys income_consumption_2017 The Palma ratio is a measure of inequality that divides the share received by the richest 10% by the share of the poorest 40%. Higher values indicate higher inequality. Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Share of people in relative poverty headcount_ratio_50_median Share in relative poverty… | True |
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2024-02-02 18:43:21 | 2025-04-04 04:21:33 | 62 | 2025-03-19 14:55:06 | :sparkles: update year (#92) | explorerTitle Inequality - World Inequality Database selection Chile Brazil South Africa United States France China explorerSubtitle Explore World Inequality Database data on inequality. isPublished true googleSheet https://docs.google.com/spreadsheets/d/18T5IGnpyJwb8KL9USYvME6IaLEcYIo26ioHCpkDnwRQ wpBlockId 57750 entityType country or region pickerColumnSlugs p0p100_gini_pretax p0p100_gini_posttax_nat p90p100_share_pretax p90p100_share_posttax_nat p99p100_share_pretax p99p100_share_posttax_nat palma_ratio_pretax palma_ratio_posttax_nat graphers title ySlugs Indicator Dropdown Income measure Dropdown subtitle note type selectedFacetStrategy hasMapTab tab tableSlug relatedQuestionText relatedQuestionUrl yAxisMin defaultView Gini coefficient (after tax) p0p100_gini_posttax_nat Gini coefficient After tax The Gini coefficient measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Inequality is measured here in terms of income after taxes and benefits. true map wid_vars 0 true Income share of the richest 10% (after tax) p90p100_share_posttax_nat Share of the richest 10% After tax The share of income received by the richest 10% of the population. Income here is measured after taxes and benefits. true map wid_vars 0 Income share of the richest 1% (after tax) p99p100_share_posttax_nat Share of the richest 1% After tax The share of income received by the richest 1% of the population. Income here is measured after taxes and benefits. true map wid_vars 0 Income share of the richest 0.1% (after tax) p99_9p100_share_posttax_nat Share of the richest 0.1% After tax The share of income received by the richest 0.1% of the population. Income here is measured after taxes and benefits. true map wid_vars 0 Income share of the poorest 50% (after tax) p0p50_share_posttax_nat Share of the poorest 50% After tax The share of income received by the poorest 50% of the population. Income here is measured after taxes and benefits. true map wid_v… | True |
46 | 46 | influenza | {"blocks": [{"args": [], "type": "graphers", "block": [{"note": "The share of positive tests is calculated by dividing the number of tests that were positive to any flu strain by three possible denominators, based on data availability. If both values are available then the denominator is the sum of positive and negative tests; if not then the number specimens processed is used; if neither of those are available then the number of specimens received by the testing facility is used.", "type": "LineChart", "title": "Weekly share of influenza tests that were positive", "ySlugs": "grapher__who__latest__flu__flu__pcnt_poscombined__51", "subtitle": "People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potential cases of influenza are tested by labs to confirm whether they have influenza and to identify their strain. The level of testing may vary between countries and over time.", "Interval Radio": "Weekly", "Metric Dropdown": "Share of positive tests (%)", "timelineMinTime": "-4043", "Surveillance type Dropdown": "All types", "Confirmed cases or Symptoms Radio": "Confirmed cases"}, {"note": "The share of positive tests is calculated by dividing the number of tests that were positive to any flu strain by three possible denominators, based on data availability. If both values are available then the denominator is the sum of positive and negative tests; if not then the number specimens processed is used; if neither of those are available then the number of specimens received by the testing facility is used.", "type": "LineChart", "title": "Weekly share of influenza tests that were positive, sentinel surveillance", "ySlugs": "grapher__who__latest__flu__flu__pcnt_possentinel__53", "subtitle": "Sentinel surveillance consists of data routinely collected from sites representative of the country's population. People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potential cases of influen… |
2023-07-19 13:24:32 | 2025-04-14 06:38:53 | 74 | 2025-04-14 06:38:53 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'who/latest/influenza#influenza'. explorerTitle Influenza isPublished true explorerSubtitle Explore global data produced by the World Health Organization on influenza symptoms and cases. selection Northern Hemisphere Southern Hemisphere hideAlertBanner true hideAnnotationFieldsInTitle true yAxisMin 0 wpBlockId 56732 hasMapTab true pickerColumnSlugs Country graphers yVariableIds ySlugs Confirmed cases or Symptoms Radio Metric Dropdown Interval Radio Surveillance type Dropdown timelineMinTime title subtitle type note defaultView tab selectedFacetStrategy facetYDomain hasMapTab relatedQuestionText relatedQuestionUrl grapher__who__latest__flu__flu__pcnt_poscombined__51 Confirmed cases Share of positive tests (%) Weekly All types -4043 Weekly share of influenza tests that were positive People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potential cases of influenza are tested by labs to confirm whether they have influenza and to identify their strain. The level of testing may vary between countries and over time. LineChart The share of positive tests is calculated by dividing the number of tests that were positive to any flu strain by three possible denominators, based on data availability. If both values are available then the denominator is the sum of positive and negative tests; if not then the number specimens processed is used; if neither of those are available then the number of specimens received by the testing facility is used. grapher__who__latest__flu__flu__pcnt_possentinel__53 Confirmed cases Share of positive tests (%) Weekly Sentinel surveillance -4043 Weekly share of influenza tests that were positive, sentinel surveillance Sentinel surveillance consists of data routinely collected from sites representative of the country's population. People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potent… | True |
47 | 47 | ipcc-scenarios | {"blocks": [{"args": [], "type": "graphers", "block": [{"title": "Global GDP per capita", "ySlugs": "gdp_per_capita", "subtitle": "Gross domestic product (GDP) is measured in 2005 international-dollars. This means it is adjusted for inflation and cross-country price differences.", "tableSlug": "global", "Rate Radio": "Per capita", "sourceDesc": "Riahi et al. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change", "Metric Dropdown": "GDP", "Region Dropdown": "Global"}, {"title": "Global gross domestic product", "ySlugs": "gdp", "subtitle": "Gross domestic product (GDP) is measured in 2005 international-dollars. This means it is adjusted for inflation and cross-country price differences.", "tableSlug": "global", "Rate Radio": "Total", "sourceDesc": "Riahi et al. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change", "Metric Dropdown": "GDP", "Region Dropdown": "Global"}, {"title": "Global private economic consumption", "ySlugs": "econ_consumption_dollars", "subtitle": "Economic consumption measures the expenditure of private households. It is gross domestic product minus government expenditures, investments, and exports. It is measured in 2005 international-dollars. This means it is adjusted for inflation and cross-country price differences.", "tableSlug": "global", "Rate Radio": "Total", "sourceDesc": "Riahi et al. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change", "Metric Dropdown": "Consumption", "Region Dropdown": "Global"}, {"title": "Global private economic consumption per capita", "ySlugs": "econ_consumption_per_capita", "subtitle": "Economic consumption measures the expenditure of private households. It is gross domestic product minus government expenditures, investments, and exports. It is measured in 2005… |
2023-06-01 19:11:30 | 2025-04-04 04:21:33 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle IPCC Scenarios explorerSubtitle Explore the global shared socioeconomic pathways used in IPCC scenarios. isPublished true selection SSP1 - Baseline SSP2 - Baseline SSP3 - Baseline SSP4 - Baseline SSP5 - Baseline hideAlertBanner true subNavId wpBlockId 50588 thumbnail https://assets.ourworldindata.org/uploads/2022/04/ipcc-thumbnail-01.png entityType scenario hasMapTab false yAxisMin 0 hideAnnotationFieldsInTitle true graphers title subtitle Metric Dropdown Sub-metric Dropdown Rate Radio Region Dropdown tableSlug ySlugs yScaleToggle sourceDesc note relatedQuestionText relatedQuestionUrl Global GDP per capita Gross domestic product (GDP) is measured in 2005 international-dollars. This means it is adjusted for inflation and cross-country price differences. GDP Per capita Global global gdp_per_capita Riahi et al. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change Global gross domestic product Gross domestic product (GDP) is measured in 2005 international-dollars. This means it is adjusted for inflation and cross-country price differences. GDP Total Global global gdp Riahi et al. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change Global private economic consumption Economic consumption measures the expenditure of private households. It is gross domestic product minus government expenditures, investments, and exports. It is measured in 2005 international-dollars. This means it is adjusted for inflation and cross-country price differences. Consumption Total Global global econ_consumption_dollars Riahi et al. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change Global private economic consumption per capita Economic consumption measures the expenditure of private households. It is gross domestic … | True |
48 | 48 | joe-and-max-fastt-review | {"blocks": [{"args": [], "type": "graphers", "block": [{"note": "Consumption per capita is the preferred welfare indicator for the World Bank’s analysis of global poverty. However, for a number of countries poverty is measured in terms of income. An income basis is common amongst high income countries and Latin American countries.", "title": "Distribution of population between different poverty thresholds", "subtitle": "All figures are adjusted to account for inflation and price differences across countries, and are expressed in international dollars at 2011 prices.", "grapherId": "4876", "sourceDesc": "World Bank, PovcalNet (2021)", "Chart title Dropdown": "Distribution of population between different poverty thresholds"}, {"title": "Hidden Hunger Index vs. extreme poverty", "subtitle": "The Hidden Hunger Index in pre-school children (HHI-PD), which provides an index of three nutritional deficiency estimates (stunting, anemia related to iron deficiency and vitamin-A deficiency) in 2009 versus the share of the population living in extreme poverty (living on less than 1.90 int.-$ a day at 2011 prices).", "grapherId": "814", "sourceDesc": "Hidden Hunger Index in pre-school children - Muthayya et al. (2013), World Bank PovcalNet", "Chart title Dropdown": "Hidden Hunger Index vs. extreme poverty"}, {"title": "The share of people living in extreme poverty vs GDP per capita", "subtitle": "Both measures are adjusted for inflation over time and for price differences between countries (PPP adjustment) and are expressed in 'international dollars' in 2011 prices. Extreme poverty is defined as living with less than 1.90 int.-$ per day.", "grapherId": "185", "sourceDesc": "World Bank, PovcalNet", "Chart title Dropdown": "The share of people living in extreme poverty vs GDP per capita"}]}], "_version": 1, "selection": ["World"], "googleSheet": "https://docs.google.com/spreadsheets/d/1-oiZ2eyM4bSKkMkJGuk0sESd7K9jcq_oLkoGeyc6SEs/edit#gid=163535373", "isPublished": "false", "explorerTitle": "Max Joe FASTT review"} |
2023-06-01 19:11:28 | 2025-04-04 04:21:33 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Max Joe FASTT review googleSheet https://docs.google.com/spreadsheets/d/1-oiZ2eyM4bSKkMkJGuk0sESd7K9jcq_oLkoGeyc6SEs/edit#gid=163535373 isPublished false selection World graphers Chart title Dropdown grapherId subtitle sourceDesc note title Distribution of population between different poverty thresholds 4876 All figures are adjusted to account for inflation and price differences across countries, and are expressed in international dollars at 2011 prices. World Bank, PovcalNet (2021) Consumption per capita is the preferred welfare indicator for the World Bank’s analysis of global poverty. However, for a number of countries poverty is measured in terms of income. An income basis is common amongst high income countries and Latin American countries. Distribution of population between different poverty thresholds Hidden Hunger Index vs. extreme poverty 814 The Hidden Hunger Index in pre-school children (HHI-PD), which provides an index of three nutritional deficiency estimates (stunting, anemia related to iron deficiency and vitamin-A deficiency) in 2009 versus the share of the population living in extreme poverty (living on less than 1.90 int.-$ a day at 2011 prices). Hidden Hunger Index in pre-school children - Muthayya et al. (2013), World Bank PovcalNet Hidden Hunger Index vs. extreme poverty The share of people living in extreme poverty vs GDP per capita 185 Both measures are adjusted for inflation over time and for price differences between countries (PPP adjustment) and are expressed in 'international dollars' in 2011 prices. Extreme poverty is defined as living with less than 1.90 int.-$ per day. World Bank, PovcalNet The share of people living in extreme poverty vs GDP per capita | False |
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2024-02-01 13:50:15 | 2025-04-04 04:21:33 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Share of population in poverty, by poverty line | World Bank selection Bangladesh Bolivia Mozambique Nigeria Zambia Kenya isPublished false googleSheet https://docs.google.com/spreadsheets/d/17KJ9YcvfdmO_7-Sv2Ij0vmzAQI6rXSIqHfJtgFHN-a8 wpBlockId 57756 thumbnail https://ourworldindata.org/uploads/2022/10/chart.png pickerColumnSlugs headcount_ratio_100 headcount_ratio_215 headcount_ratio_365 headcount_ratio_685 headcount_ratio_1000 headcount_ratio_2000 headcount_ratio_3000 headcount_ratio_4000 headcount_100 headcount_215 headcount_365 headcount_685 headcount_1000 headcount_2000 headcount_3000 headcount_4000 headcount_ratio_40_median headcount_ratio_50_median headcount_ratio_60_median headcount_40_median headcount_50_median headcount_60_median mean median decile1_thr decile9_thr graphers title ySlugs Choose your visualization type Radio $2.15 per day Checkbox $10 per day Checkbox Household survey data type Dropdown tableSlug subtitle note type yAxisMin selectedFacetStrategy hasMapTab tab mapTargetTime yScaleToggle Show breaks between less comparable surveys Checkbox Related World Bank indicators nav Dropdown relatedQuestionUrl defaultView selectedFacetStrategy Share of population living in extreme poverty headcount_ratio_215 Individual poverty lines true false Show data from both income and consumption surveys income_consumption_2017 Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, per capita. 0 true 2019 false x Share of population living on less than $10 a day headcount_ratio_1000 Individual poverty lines false true Show data from both income and consumption surveys income_consumption_2017 The poverty line of $3.65 per day is set by the World Bank to be representative of the definitions … | False |
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2023-06-01 19:11:26 | 2025-04-04 04:21:33 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Données hospitalières COVID-19 isPublished false # comment googleSheet explorerSubtitle entityType département defaultView graphers Metric Radio type ySlugs Hospitalisations LineChart hosp Réanimations LineChart rea Retours à domicile LineChart rad Décès LineChart dc columns slug name type dep Departement EntityName sexe Sexe Integer jour Date Date hosp Hospitalisations Integer rea Réanimations Integer rad Retours à domicile Integer dc Décès Integer # https://5e0353eb9d92.ngrok.io/donnees-hospitalieres-covid19-2020-11-17-09h31-with-commas.csv # https://docs.google.com/spreadsheets/d/1dTFGK7WM2MkpfjeNL0wpP0hyJ-XhAW9mFqZVvMDKizk/export?format=csv #https://static.data.gouv.fr/resources/donnees-hospitalieres-relatives-a-lepidemie-de-covid-19/20201117-093432/donnees-hospitalieres-covid19-2020-11-17-09h31.csv table https://docs.google.com/spreadsheets/d/1dTFGK7WM2MkpfjeNL0wpP0hyJ-XhAW9mFqZVvMDKizk/export?format=csv | False |
51 | 51 | matthieu-test-explorer | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Patients in hospital", "subtitle": "Subtitle of chart 0", "grapherId": "4618", "hasMapTab": "true", "Yo Checkbox": "In hospital"}, {"type": "LineChart", "title": "New Admissions", "subtitle": "Subtitle of chart 2", "grapherId": "4619", "hasMapTab": "false", "Yo Checkbox": "Admissions"}]}], "_version": 1, "isPublished": "false", "explorerTitle": "Custom explorer"} |
2023-06-01 19:11:25 | 2025-04-04 04:21:33 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Custom explorer graphers Yo Checkbox title subtitle type grapherId hasMapTab In hospital Patients in hospital Subtitle of chart 0 LineChart 4618 true Admissions New Admissions Subtitle of chart 2 LineChart 4619 false | False |
52 | 52 | max-test | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "DiscreteBar", "ySlugs": "inGroundTunnels", "Tunnel Type Radio": "In Ground"}, {"type": "DiscreteBar", "ySlugs": "underwaterTunnels", "Tunnel Type Radio": "Underwater"}, {"type": "SlopeChart", "ySlugs": "underwaterTunnels", "Tunnel Type Radio": "Underwater Slope"}]}, {"args": [], "type": "table", "block": [{"year": "2000", "entityName": "United States", "inGroundTunnels": "4", "underwaterTunnels": "2"}, {"year": "2005", "entityName": "United States", "inGroundTunnels": "3", "underwaterTunnels": "3"}, {"year": "2010", "entityName": "United States", "inGroundTunnels": "2", "underwaterTunnels": "1"}, {"year": "2000", "entityName": "Canada", "inGroundTunnels": "1", "underwaterTunnels": "4"}, {"year": "2005", "entityName": "Canada", "inGroundTunnels": "13", "underwaterTunnels": "2"}, {"year": "2010", "entityName": "Canada", "inGroundTunnels": "3", "underwaterTunnels": "9"}]}, {"args": [], "type": "columns", "block": [{"name": "Country", "slug": "entityName", "type": "EntityName"}, {"name": "Year", "slug": "year", "type": "Year"}, {"name": "Underwater Tunnels", "slug": "underwaterTunnels", "type": "Integer"}, {"name": "In ground Tunnels", "slug": "inGroundTunnels", "type": "Integer"}]}], "_version": 1, "entityType": "State", "defaultView": ["selection=Canada~United%20States"], "googleSheet": "https://googe.com/fsad", "isPublished": "false", "explorerTitle": "World Tunnels", "explorerSubtitle": "How much work does Boring Company have to do"} |
2023-06-01 19:11:23 | 2025-04-04 04:21:33 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle World Tunnels isPublished false # comment googleSheet https://googe.com/fsad explorerSubtitle How much work does Boring Company have to do entityType State defaultView selection=Canada~United%20States graphers Tunnel Type Radio type ySlugs In Ground DiscreteBar inGroundTunnels Underwater DiscreteBar underwaterTunnels Underwater Slope SlopeChart underwaterTunnels table entityName underwaterTunnels year inGroundTunnels United States 2 2000 4 United States 3 2005 3 United States 1 2010 2 Canada 4 2000 1 Canada 2 2005 13 Canada 9 2010 3 columns slug name type entityName Country EntityName year Year Year underwaterTunnels Underwater Tunnels Integer inGroundTunnels In ground Tunnels Integer | False |
53 | 53 | migration | {"tab": "map", "blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "yAxisMin": "0", "Age Radio": "All ages", "hasMapTab": "true", "Period Radio": "Total number", "yVariableIds": "grapher/un/2025-03-12/migrant_stock/migrant_stock#emigrants_all", "Metric Dropdown": "International emigrants", "timelineMaxTime": "2024", "Sub-Metric Radio": "Total", "hideRelativeToggle": "false", "relatedQuestionUrl": "https://ourworldindata.org/migration-definition", "relatedQuestionText": "Migration Data: Our sources and definitions"}, {"tab": "map", "title": "Share of the population that has left the country", "yAxisMin": "0", "Age Radio": "All ages", "hasMapTab": "true", "Period Radio": "Total number", "yVariableIds": "grapher/un/2025-03-12/migrant_stock/migrant_stock#emigrants_share_of_total_population", "Metric Dropdown": "International emigrants", "timelineMaxTime": "2024", "Sub-Metric Radio": "Per capita / Share of population", "hideRelativeToggle": "true", "relatedQuestionUrl": "https://ourworldindata.org/migration-definition", "relatedQuestionText": "Migration Data: Our sources and definitions"}, {"tab": "map", "yAxisMin": "0", "Age Radio": "All ages", "hasMapTab": "true", "Period Radio": "Total number", "yVariableIds": "grapher/un/2025-03-12/migrant_stock/migrant_stock#immigrants_all", "Metric Dropdown": "International immigrants", "timelineMaxTime": "2024", "Sub-Metric Radio": "Total", "hideRelativeToggle": "false", "relatedQuestionUrl": "https://ourworldindata.org/migration-definition", "relatedQuestionText": "Migration Data: Our sources and definitions"}, {"tab": "map", "title": "Share of the population that was born in another country", "yAxisMin": "0", "Age Radio": "All ages", "hasMapTab": "true", "Period Radio": "Total number", "yVariableIds": "grapher/un/2025-03-12/migrant_stock/migrant_stock#immigrant_share_of_dest_population_all", "Metric Dropdown": "International immigrants", "timelineMaxTime": "2024", "Sub-Metric Radio": "Per capita / Share of population", "hideRelativeToggle": "true", "relatedQu… |
2023-06-01 19:11:28 | 2025-04-14 15:55:25 | 74 | 2025-04-14 15:55:25 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'migration/2024-08-05/migration#migration'. explorerTitle Migration, Refugees, and Asylum Seekers isPublished true explorerSubtitle Explore the migration of people across the world. selection Canada France Germany United Kingdom United States India China Syria Yemen thumbnail https://assets.ourworldindata.org/uploads/2022/03/Migration-Data-Explorer.png hideAlertBanner true wpBlockId 49910 hasMapTab true yAxisMin 0 hideAnnotationFieldsInTitle true tab map graphers yVariableIds Metric Dropdown Period Radio Sub-Metric Radio Age Radio hideRelativeToggle subtitle title hasMapTab tab yAxisMin timelineMaxTime relatedQuestionText relatedQuestionUrl grapher/un/2025-03-12/migrant_stock/migrant_stock#emigrants_all International emigrants Total number Total All ages false true map 0 2024 Migration Data: Our sources and definitions https://ourworldindata.org/migration-definition grapher/un/2025-03-12/migrant_stock/migrant_stock#emigrants_share_of_total_population International emigrants Total number Per capita / Share of population All ages true Share of the population that has left the country true map 0 2024 Migration Data: Our sources and definitions https://ourworldindata.org/migration-definition grapher/un/2025-03-12/migrant_stock/migrant_stock#immigrants_all International immigrants Total number Total All ages false true map 0 2024 Migration Data: Our sources and definitions https://ourworldindata.org/migration-definition grapher/un/2025-03-12/migrant_stock/migrant_stock#immigrant_share_of_dest_population_all International immigrants Total number Per capita / Share of population All ages true Share of the population that was born in another country true map 0 2024 Migration Data: Our sources and definitions https://ourworldindata.org/migration-definition grapher/unicef/2024-07-30/child_migration/child_migration#international_migrants_under_18_dest International immigrants Total number Total Under 18 true true map 0 2024 Migration Data: Our sou… | True |
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2023-06-01 19:11:27 | 2025-04-14 15:55:27 | 74 | 2025-04-14 15:55:27 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'migration/latest/migration_flows#migration-flows'. explorerTitle Migration Flows isPublished true explorerSubtitle Explore global migration data, country-by-country. selection World thumbnail https://ourworldindata.org/app/uploads/2022/03/migration-flows-explorer.png subNavId subNavCurrentId hasMapTab true yAxisMin 0 pickerColumnSlugs entityName hideAnnotationFieldsInTitle true tab map graphers yVariableIds ySlugs Country Dropdown Metric Radio Gender Radio type hasMapTab tab note subtitle grapher__un__2025_03_18__migration_stock_flows__migrant_stock_dest_origin__migrants__country_select_afghanistan__metric_emigrants__gender_all__0 Afghanistan Emigrants: People moving away from country All migrants LineChart true map "For most countries, immigrant means ""born in another country"". Someone who has gained citizenship in the country they live in is still counted as an immigrant if they were born elsewhere. For some countries, place of birth information is not available; in this case citizenship is used to define whether someone counts as an immigrant." The number of people who were born in Afghanistan and now live abroad. This is a measure of emigrant stocks at mid-year, not the annual flow of emigrants. grapher__un__2025_03_18__migration_stock_flows__migrant_stock_dest_origin__migrants__country_select_afghanistan__metric_emigrants__gender_female__1 Afghanistan Emigrants: People moving away from country Female migrants LineChart true map "For most countries, immigrant means ""born in another country"". Someone who has gained citizenship in the country they live in is still counted as an immigrant if they were born elsewhere. For some countries, place of birth information is not available; in this case citizenship is used to define whether someone counts as an immigrant." The number of women who were born in Afghanistan and now live abroad. This is a measure of emigrant stocks at mid-year, not the annual flow of emigrants. grapher__un__2025_03_18… | True |
55 | 55 | minerals | {"blocks": [{"args": [], "type": "graphers", "block": [{"minTime": "1900", "yAxisMin": "0", "hasMapTab": "true", "defaultView": "false", "yVariableIds": "grapher/minerals/2024-07-15/minerals/minerals#production_aluminum_smelter_tonnes", "Type Dropdown": "Smelter", "Metric Dropdown": "Production", "Mineral Dropdown": "Aluminum", "Share of global Checkbox": "false"}, {"minTime": "1900", "yAxisMin": "0", "hasMapTab": "true", "defaultView": "false", "yVariableIds": "grapher/minerals/2024-07-15/minerals/minerals#share_of_global_production_aluminum_smelter_tonnes", "Type Dropdown": "Smelter", "Metric Dropdown": "Production", "Mineral Dropdown": "Aluminum", "Share of global Checkbox": "true"}, {"minTime": "1900", "yAxisMin": "0", "hasMapTab": "false", "defaultView": "false", "yVariableIds": "grapher/minerals/2024-07-15/minerals/minerals#unit_value_aluminum_smelter_constant_1998_usd_per_tonne", "Type Dropdown": "Smelter", "Metric Dropdown": "Unit value", "Mineral Dropdown": "Aluminum", "Share of global Checkbox": "false"}, {"minTime": "1900", "yAxisMin": "0", "hasMapTab": "true", "defaultView": "false", "yVariableIds": "grapher/minerals/2024-07-15/minerals/minerals#production_antimony_mine_tonnes", "Type Dropdown": "Mine", "Metric Dropdown": "Production", "Mineral Dropdown": "Antimony", "Share of global Checkbox": "false"}, {"minTime": "1900", "yAxisMin": "0", "hasMapTab": "true", "defaultView": "false", "yVariableIds": "grapher/minerals/2024-07-15/minerals/minerals#share_of_global_production_antimony_mine_tonnes", "Type Dropdown": "Mine", "Metric Dropdown": "Production", "Mineral Dropdown": "Antimony", "Share of global Checkbox": "true"}, {"minTime": "2023", "yAxisMin": "0", "hasMapTab": "true", "defaultView": "false", "yVariableIds": "grapher/minerals/2024-07-15/minerals/minerals#reserves_antimony_mine_tonnes", "Type Dropdown": "Mine", "Metric Dropdown": "Reserves", "Mineral Dropdown": "Antimony", "Share of global Checkbox": "false"}, {"minTime": "1900", "yAxisMin": "0", "hasMapTab": "false", "defaultView": "false", "y… |
2024-08-14 13:26:33 | 2025-04-04 16:28:08 | 74 | 2025-04-04 13:42:22 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'minerals/latest/minerals#minerals'. explorerTitle Minerals isPublished true explorerSubtitle Explore the production, reserves and value of minerals. selection World Australia Chile China United States graphers yVariableIds Mineral Dropdown Metric Dropdown Type Dropdown Share of global Checkbox minTime hasMapTab yAxisMin defaultView grapher/minerals/2024-07-15/minerals/minerals#production_aluminum_smelter_tonnes Aluminum Production Smelter false 1900 true 0 false grapher/minerals/2024-07-15/minerals/minerals#share_of_global_production_aluminum_smelter_tonnes Aluminum Production Smelter true 1900 true 0 false grapher/minerals/2024-07-15/minerals/minerals#unit_value_aluminum_smelter_constant_1998_usd_per_tonne Aluminum Unit value Smelter false 1900 false 0 false grapher/minerals/2024-07-15/minerals/minerals#production_antimony_mine_tonnes Antimony Production Mine false 1900 true 0 false grapher/minerals/2024-07-15/minerals/minerals#share_of_global_production_antimony_mine_tonnes Antimony Production Mine true 1900 true 0 false grapher/minerals/2024-07-15/minerals/minerals#reserves_antimony_mine_tonnes Antimony Reserves Mine false 2023 true 0 false grapher/minerals/2024-07-15/minerals/minerals#unit_value_antimony_mine_constant_1998_usd_per_tonne Antimony Unit value Mine false 1900 false 0 false grapher/minerals/2024-07-15/minerals/minerals#production_arsenic_processing_tonnes Arsenic Production Processing false 1900 true 0 false grapher/minerals/2024-07-15/minerals/minerals#share_of_global_production_arsenic_processing_tonnes Arsenic Production Processing true 1900 true 0 false grapher/minerals/2024-07-15/minerals/minerals#unit_value_arsenic_processing_constant_1998_usd_per_tonne Arsenic Unit value Processing false 1900 false 0 false grapher/minerals/2024-07-15/minerals/minerals#production_asbestos_mine_tonnes Asbestos Production Mine false 1900 true 0 false grapher/minerals/2024-07-15/minerals/minerals#share_of_global_production_asbestos_mi… | True |
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2024-09-13 11:56:08 | 2025-04-04 16:28:08 | 74 | 2025-04-04 13:42:22 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'minerals/latest/minerals_supply_and_demand_prospects#minerals_supply_and_demand_prospects'. explorerTitle Minerals Supply and Demand Prospects isPublished false explorerSubtitle Explore data from the IEA on the future outlook for mineral supply and demand. selection Argentina Australia Brazil Canada Chile China Democratic Republic of Congo Electric vehicles Electricity networks Finland Germany Grid battery storage Hydrogen technologies India Indonesia Japan Madagascar Malaysia Mozambique Myanmar New Caledonia Other low emissions power generation Other uses Peru Philippines Rest of world Russia Solar PV Sweden Tanzania United States Wind Zimbabwe entityType country or technology graphers yVariableIds Mineral Dropdown Type Dropdown Indicator Radio Metric Radio Demand Scenario Dropdown Case Dropdown hasMapTab yAxisMin chartTypes defaultView grapher/iea/2024-07-04/critical_minerals_demand_by_technology/demand_by_technology#demand_arsenic_refinery_base_case_stated_policies Arsenic Refinery Demand by technology Total Stated policies Base case false 0 ['StackedArea'] false grapher/iea/2024-07-04/critical_minerals_demand_by_technology/demand_by_technology#demand_arsenic_refinery_comeback_of_high_cd_te_technology_stated_policies Arsenic Refinery Demand by technology Total Stated policies Comeback of high Cd-Te technology false 0 ['StackedArea'] false grapher/iea/2024-07-04/critical_minerals_demand_by_technology/demand_by_technology#demand_arsenic_refinery_wider_adoption_of_ga_as_technology_stated_policies Arsenic Refinery Demand by technology Total Stated policies Wider adoption of Ga-As technology false 0 ['StackedArea'] false grapher/iea/2024-07-04/critical_minerals_demand_by_technology/demand_by_technology#demand_arsenic_refinery_wider_adoption_of_perovskite_solar_cells_stated_policies Arsenic Refinery Demand by technology Total Stated policies Wider adoption of perovskite solar cells false 0 ['StackedArea'] false grapher/iea/2024-07-04/critical_min… | False |
57 | 57 | monkeypox | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "type": "LineChart", "title": "Mpox: Daily confirmed cases", "ySlugs": "grapher__who__latest__monkeypox__monkeypox__new_cases_smoothed__2", "subtitle": "7-day rolling average. Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases.", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Frequency Radio": "7-day average", "hideAnnotationFieldsInTitle": "true", "Relative to population Checkbox": "false"}, {"type": "LineChart", "title": "Mpox: Daily confirmed cases per million people", "ySlugs": "grapher__who__latest__monkeypox__monkeypox__new_cases_smoothed_per_million__3", "subtitle": "7-day rolling average. Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases.", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Frequency Radio": "7-day average", "hideAnnotationFieldsInTitle": "true", "Relative to population Checkbox": "true"}, {"type": "LineChart", "title": "Mpox: Cumulative confirmed cases", "ySlugs": "grapher__who__latest__monkeypox__monkeypox__total_cases__9", "subtitle": "Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases.", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Frequency Radio": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to population Checkbox": "false"}, {"type": "LineChart", "title": "Mpox: Cumulative confirmed cases per million people", "ySlugs": "grapher__who__latest__monkeypox__monkeypox__total_cases_per_million__10", "subtitle": "Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases.", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Frequency Radio": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to population Checkbox": "true"}, {"type": "StackedBar", "title": "Mpox: Daily confirmed cas… |
2023-06-01 19:11:24 | 2025-04-08 06:40:02 | 74 | 2025-04-08 06:40:02 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'who/latest/monkeypox#monkeypox'. explorerTitle Mpox isPublished true explorerSubtitle Explore the data produced by the World Health Organization and Africa CDC on mpox (monkeypox). selection Democratic Republic of Congo Burundi Uganda Central African Republic thumbnail https://assets.ourworldindata.org/uploads/2022/05/Monkeypox-Data-Explorer.png hideAlertBanner true yAxisMin 0 hasMapTab true downloadDataLink https://catalog.ourworldindata.org/garden/who/latest/monkeypox/monkeypox.csv graphers yVariableIds ySlugs Metric Radio Frequency Radio Relative to population Checkbox hideAnnotationFieldsInTitle yScaleToggle subtitle title type tab selectedFacetStrategy hasMapTab minTime facetYDomain note grapher__who__latest__monkeypox__monkeypox__new_cases_smoothed__2 Confirmed cases 7-day average false true true 7-day rolling average. Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases. Mpox: Daily confirmed cases LineChart map grapher__who__latest__monkeypox__monkeypox__new_cases_smoothed_per_million__3 Confirmed cases 7-day average true true true 7-day rolling average. Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases. Mpox: Daily confirmed cases per million people LineChart grapher__who__latest__monkeypox__monkeypox__total_cases__9 Confirmed cases Cumulative false true true Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases. Mpox: Cumulative confirmed cases LineChart grapher__who__latest__monkeypox__monkeypox__total_cases_per_million__10 Confirmed cases Cumulative true true true Laboratory testing for mpox is limited in many countries and figures shown here only include laboratory-confirmed cases. Mpox: Cumulative confirmed cases per million people LineChart grapher__who__latest__monkeypox__monkeypox__new_cases__0 Confirmed cases Daily false … | True |
58 | 58 | multi | {"blocks": [{"args": ["https://covid.ourworldindata.org/data/owid-covid-data.csv"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Cases and Deaths", "ySlugs": "total_cases_per_million total_deaths_per_million", "subtitle": "The number of confirmed cases is lower than the number of actual cases; the main reason for that is limited testing.", "Metric Radio": "Confirmed cases and deaths", "yScaleToggle": "true", "Chart Type Radio": "Line Chart"}, {"type": "StackedArea", "title": "Cases and Deaths", "ySlugs": "total_cases_per_million total_deaths_per_million", "subtitle": "The number of confirmed cases is lower than the number of actual cases; the main reason for that is limited testing.", "Metric Radio": "Confirmed cases and deaths", "yScaleToggle": "true", "Chart Type Radio": "Stacked Area"}]}, {"args": [], "type": "columns", "block": [{"name": "Country name", "slug": "location", "type": "EntityName"}, {"name": "Day", "slug": "date", "type": "Date"}, {"name": "Population", "slug": "population", "type": "Population"}, {"name": "Population density (people per km²)", "slug": "population_density", "type": "PopulationDensity"}, {"name": "Median age", "slug": "median_age", "type": "Age"}, {"name": "Share aged 65+", "slug": "aged_65_older", "type": "Percentage"}, {"name": "Share aged 70+", "slug": "aged_70_older", "type": "Percentage"}, {"name": "GDP per capita (int.-$)", "slug": "gdp_per_capita", "type": "Currency"}, {"name": "Population in extreme poverty", "slug": "extreme_poverty", "type": "Percentage"}, {"name": "Human Development Index", "slug": "human_development_index", "type": "Numeric"}, {"name": "Hospital beds (per 1000)", "slug": "hospital_beds_per_thousand", "type": "Ratio"}, {"name": "Stringency Index", "slug": "stringency_index", "type": "Numeric"}, {"name": "Life expectancy", "slug": "life_expectancy", "type": "Age"}, {"name": "Total deaths", "slug": "total_deaths", "type": "Integer"}, {"name": "Daily new COVID-19 tests", "slug": "new_tests", "t… |
2023-06-01 19:11:32 | 2025-04-04 04:21:34 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle MultiMetric Covid Test isPublished false googleSheet https://docs.google.com/spreadsheets/d/1yOXHFBGtqxn7fifwrHgxWpZ09Le6lUb8JbF2UhuL0iQ/edit?usp=sharing defaultView ?selection=India~United%20States~France~United%20Kingdom~Germany~Canada&pickerMetric=total_cases&pickerSort=desc&time=2020-03-01..latest explorerSubtitle Testing multiple metrics on one chart hideAlertBanner true subNavId coronavirus subNavCurrentId data-explorer table https://covid.ourworldindata.org/data/owid-covid-data.csv graphers title subtitle Metric Radio ySlugs yScaleToggle type Chart Type Radio Cases and Deaths The number of confirmed cases is lower than the number of actual cases; the main reason for that is limited testing. Confirmed cases and deaths total_cases_per_million total_deaths_per_million true LineChart Line Chart Cases and Deaths The number of confirmed cases is lower than the number of actual cases; the main reason for that is limited testing. Confirmed cases and deaths total_cases_per_million total_deaths_per_million true StackedArea Stacked Area columns slug name type transform annotationsColumnSlug sourceName sourceLink dataPublishedBy dataPublisherSource retrievedDate additionalInfo location Country name EntityName date Day Date population Population Population population_density Population density (people per km²) PopulationDensity median_age Median age Age aged_65_older Share aged 65+ Percentage aged_70_older Share aged 70+ Percentage gdp_per_capita GDP per capita (int.-$) Currency extreme_poverty Population in extreme poverty Percentage human_development_index Human Development Index Numeric hospital_beds_per_thousand Hospital beds (per 1000) Ratio stringency_index Stringency Index Numeric life_expectancy Life expectancy Age total_deaths Total deaths Integer new_tests Daily new COVID-19 tests Integer tests_units Official data collated by Our World in Data https://ourworldindata.org/coronavirus-testing#testing-for-covid-19-background-the-our-world-in-data-covid-19-testing-dataset For … | False |
59 | 59 | multidim-daniel-electricity | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "StackedArea", "hasMapTab": "false", "yVariableIds": "817697 817705 817728 817794 817811 817723 817712", "Share Dropdown": "Absolute", "Energy type Dropdown": "All"}, {"type": "StackedArea", "hasMapTab": "false", "yVariableIds": "817699 817709 817731 817796 817814 817725 817713", "Share Dropdown": "Share", "Energy type Dropdown": "All"}, {"type": "StackedArea", "hasMapTab": "false", "yVariableIds": "817745 817751 817760 817772 817778 817759 817754", "Share Dropdown": "Per capita", "Energy type Dropdown": "All"}, {"hasMapTab": "true", "yVariableIds": "817699", "Share Dropdown": "Share", "Energy type Dropdown": "Coal"}, {"hasMapTab": "true", "yVariableIds": "817709", "Share Dropdown": "Share", "Energy type Dropdown": "Gas"}, {"hasMapTab": "true", "yVariableIds": "817731", "Share Dropdown": "Share", "Energy type Dropdown": "Oil"}, {"hasMapTab": "true", "yVariableIds": "817796", "Share Dropdown": "Share", "Energy type Dropdown": "Solar"}, {"hasMapTab": "true", "yVariableIds": "817814", "Share Dropdown": "Share", "Energy type Dropdown": "Wind"}, {"hasMapTab": "true", "yVariableIds": "817725", "Share Dropdown": "Share", "Energy type Dropdown": "Nuclear"}, {"hasMapTab": "true", "yVariableIds": "817713", "Share Dropdown": "Share", "Energy type Dropdown": "Hydro"}, {"hasMapTab": "true", "yVariableIds": "817745", "Share Dropdown": "Per capita", "Energy type Dropdown": "Coal"}, {"hasMapTab": "true", "yVariableIds": "817751", "Share Dropdown": "Per capita", "Energy type Dropdown": "Gas"}, {"hasMapTab": "true", "yVariableIds": "817760", "Share Dropdown": "Per capita", "Energy type Dropdown": "Oil"}, {"hasMapTab": "true", "yVariableIds": "817772", "Share Dropdown": "Per capita", "Energy type Dropdown": "Solar"}, {"hasMapTab": "true", "yVariableIds": "817778", "Share Dropdown": "Per capita", "Energy type Dropdown": "Wind"}, {"hasMapTab": "true", "yVariableIds": "817759", "Share Dropdown": "Per capita", "Energy type Dropdown": "Nuclear"}, {"hasMapTab": "true", "yVar… |
2024-04-29 11:47:51 | 2025-04-04 04:21:34 | 53 | 2024-04-29 12:40:39 | Updated multidim-daniel-electricity | explorerTitle Multidimensional electricity selection World graphers Share Dropdown Energy type Dropdown yVariableIds hasMapTab type Absolute All 817697 817705 817728 817794 817811 817723 817712 false StackedArea Share All 817699 817709 817731 817796 817814 817725 817713 false StackedArea Per capita All 817745 817751 817760 817772 817778 817759 817754 false StackedArea Share Coal 817699 true Share Gas 817709 true Share Oil 817731 true Share Solar 817796 true Share Wind 817814 true Share Nuclear 817725 true Share Hydro 817713 true Per capita Coal 817745 true Per capita Gas 817751 true Per capita Oil 817760 true Per capita Solar 817772 true Per capita Wind 817778 true Per capita Nuclear 817759 true Per capita Hydro 817754 true Absolute Coal 817697 true Absolute Gas 817705 true Absolute Oil 817728 true Absolute Solar 817794 true Absolute Wind 817811 true Absolute Nuclear 817723 true Absolute Hydro 817712 true | False |
60 | 60 | multidim-daniel-gdp | {"blocks": [{"args": [], "type": "graphers", "block": [{"hasMapTab": "true", "yVariableIds": "819350", "Timescale Dropdown": "Long run", "Per capita Checkbox": "false"}, {"hasMapTab": "true", "yVariableIds": "819351", "Timescale Dropdown": "Long run", "Per capita Checkbox": "true"}, {"hasMapTab": "true", "yVariableIds": "539736", "Timescale Dropdown": "Modern", "Per capita Checkbox": "false"}, {"hasMapTab": "true", "yVariableIds": "539760", "Timescale Dropdown": "Modern", "Per capita Checkbox": "true"}]}], "_version": 1, "selection": ["World"], "isPublished": "false", "explorerTitle": "Multidimensional GDP"} |
2024-04-29 12:32:37 | 2025-04-04 04:21:34 | 53 | 2024-04-29 12:40:34 | Updated multidim-daniel-gdp | explorerTitle Multidimensional GDP selection World graphers Timescale Dropdown Per capita Checkbox yVariableIds hasMapTab type Long run false 819350 true Long run true 819351 true Modern false 539736 true Modern true 539760 true | False |
61 | 61 | multidim-daniel-poverty | {"blocks": [{"args": [], "type": "graphers", "block": [{"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819727", "Share Dropdown": "share", "Poverty Line Dropdown": "i$ 2.15"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819729", "Share Dropdown": "share", "Poverty Line Dropdown": "i$ 3.65"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819731", "Share Dropdown": "share", "Poverty Line Dropdown": "i$ 6.85"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819725", "Share Dropdown": "share", "Poverty Line Dropdown": "i$ 10"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819726", "Share Dropdown": "share", "Poverty Line Dropdown": "i$ 20"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819728", "Share Dropdown": "share", "Poverty Line Dropdown": "i$ 30"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819730", "Share Dropdown": "share", "Poverty Line Dropdown": "i$ 40"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819719", "Share Dropdown": "absolute", "Poverty Line Dropdown": "i$ 2.15"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819721", "Share Dropdown": "absolute", "Poverty Line Dropdown": "i$ 3.65"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819723", "Share Dropdown": "absolute", "Poverty Line Dropdown": "i$ 6.85"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819717", "Share Dropdown": "absolute", "Poverty Line Dropdown": "i$ 10"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819718", "Share Dropdown": "absolute", "Poverty Line Dropdown": "i$ 20"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819720", "Share Dropdown": "absolute", "Poverty Line Dropdown": "i$ 30"}, {"yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819722", "Share Dropdown": "absolute", "Poverty Line Dropdown": "i$ 40"}, {"type": "StackedArea", "yAxisMin": "0", "hasMapTab": "true", "yVariableIds": "819815 819816 819818 819820 819822 819824 819826 819811", "Share Dropdown": "share", "Poverty Line Drop… |
2024-04-29 11:47:52 | 2025-04-04 04:21:34 | 53 | 2024-04-29 12:40:45 | Updated multidim-daniel-poverty | explorerTitle Multidimensional poverty selection World graphers Poverty Line Dropdown Share Dropdown yVariableIds title type yAxisMin hasMapTab i$ 2.15 share 819727 0 true i$ 3.65 share 819729 0 true i$ 6.85 share 819731 0 true i$ 10 share 819725 0 true i$ 20 share 819726 0 true i$ 30 share 819728 0 true i$ 40 share 819730 0 true i$ 2.15 absolute 819719 0 true i$ 3.65 absolute 819721 0 true i$ 6.85 absolute 819723 0 true i$ 10 absolute 819717 0 true i$ 20 absolute 819718 0 true i$ 30 absolute 819720 0 true i$ 40 absolute 819722 0 true all share 819815 819816 819818 819820 819822 819824 819826 819811 StackedArea 0 true 0 true columns variableId ^ 819727 819729 819731 819725 819726 819728 819730 819719 819721 819723 819717 819718 819720 819722 | False |
62 | 62 | museum-collections | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "StackedDiscreteBar", "title": "Share of collection that's public", "ySlugs": "CollectionOnDisplay CollectionNotOnDisplay", "subtitle": "How much is public", "Statistic Radio": "Breakdown"}, {"type": "DiscreteBar", "title": "Share of artworks on display", "ySlugs": "PercentOnDisplay", "subtitle": "How many arts", "Statistic Radio": "Share on display"}]}, {"args": [], "type": "table", "block": [{"Year": "2021", "Museum": "British Museum", "Location": "London", "realyear": "2020", "SourceLink": "https://www.britishmuseum.org/sites/default/files/2019-10/fact_sheet_bm_collection.pdf", "TotalCollection": "8000000", "PercentOnDisplay": "1", "CollectionOnDisplay": "80000", "CollectionNotOnDisplay": "7920000"}, {"Year": "2021", "Museum": "Boijmans van Beuningen", "Location": "Rotterdam", "realyear": "2021", "TotalCollection": "151000", "PercentOnDisplay": "100", "CollectionOnDisplay": "151000", "CollectionNotOnDisplay": "0"}, {"Year": "2021", "Museum": "Metropolitan Museum of Art", "Location": "New York", "realyear": "2009", "SourceLink": "https://www.nytimes.com/2009/03/19/arts/artsspecial/19TROVE.html#:~:text=%E2%80%9CMost%20museums%20show%20between%202,what%20is%20behind%20closed%20doors.", "TotalCollection": "2000000", "PercentOnDisplay": "3", "CollectionOnDisplay": "60000", "CollectionNotOnDisplay": "1940000"}, {"Year": "2021", "Museum": "Museum of Fina Arts", "Location": "Boston", "realyear": "2009", "SourceLink": "https://www.nytimes.com/2009/03/19/arts/artsspecial/19TROVE.html#:~:text=%E2%80%9CMost%20museums%20show%20between%202,what%20is%20behind%20closed%20doors.", "TotalCollection": "450000", "PercentOnDisplay": "4", "CollectionOnDisplay": "18000", "CollectionNotOnDisplay": "432000"}, {"Year": "2021", "Museum": "Museum of Modern Art", "Location": "New York", "realyear": "2021", "SourceLink": "https://github.com/MuseumofModernArt/collection", "TotalCollection": "200000", "PercentOnDisplay": "0", "CollectionNotOnDisplay": "200000"}, {"Year": "2021",… |
2023-06-01 19:11:26 | 2025-04-04 04:21:34 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Museums explorerSubtitle How much of their collection do they display? selection British Museum~Boijmans van Beuningen graphers title ySlugs subtitle Statistic Radio type Share of collection that's public CollectionOnDisplay CollectionNotOnDisplay How much is public Breakdown StackedDiscreteBar Share of artworks on display PercentOnDisplay How many arts Share on display DiscreteBar table Museum Location TotalCollection realyear Year CollectionOnDisplay CollectionNotOnDisplay PercentOnDisplay SourceLink British Museum London 8000000 2020 2021 80000 7920000 1 https://www.britishmuseum.org/sites/default/files/2019-10/fact_sheet_bm_collection.pdf Boijmans van Beuningen Rotterdam 151000 2021 2021 151000 0 100 Metropolitan Museum of Art New York 2000000 2009 2021 60000 1940000 3 https://www.nytimes.com/2009/03/19/arts/artsspecial/19TROVE.html#:~:text=%E2%80%9CMost%20museums%20show%20between%202,what%20is%20behind%20closed%20doors. Museum of Fina Arts Boston 450000 2009 2021 18000 432000 4 https://www.nytimes.com/2009/03/19/arts/artsspecial/19TROVE.html#:~:text=%E2%80%9CMost%20museums%20show%20between%202,what%20is%20behind%20closed%20doors. Museum of Modern Art New York 200000 2021 2021 200000 0 https://github.com/MuseumofModernArt/collection National Gallery of Art Washington DC 111737 2019 2021 2643 109094 2.365375838 https://public.tableau.com/profile/paul.albert2725#!/vizhome/GMUNationalGalleryofArtDataChallengeResults/StoryBoardV2 Tate 2021 20 https://www.bbc.com/culture/article/20150123-7-masterpieces-you-cant-see Louvre 2021 8 https://www.bbc.com/culture/article/20150123-7-masterpieces-you-cant-see Berlinische Galerie Berlin 2021 2 https://www.bbc.com/culture/article/20150123-7-masterpieces-you-cant-see Albertina Museum Vienna 2021 0.1 https://www.bbc.com/culture/article/20150123-7-masterpieces-you-cant-see Vatican Museums Rome 70000 2016 2021 20000 50000 28.57142857 https://en.wikipedia.org/wiki/Vatican_Museums Rijskmuseum Amsterdam 1000000 2014 2021 8000 992000 … | False |
63 | 63 | natural-disasters | {"tab": "chart", "blocks": [{"args": ["https://catalog.ourworldindata.org/explorers/emdat/latest/natural_disasters/natural_disasters_yearly.csv", "annual"], "type": "table", "block": null}, {"args": ["https://catalog.ourworldindata.org/explorers/emdat/latest/natural_disasters/natural_disasters_decadal.csv", "decadal"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"note": "Decadal figures are measured as the annual average over the subsequent ten-year period. This means figures for ‘1900’ represent the average from 1900 to 1909; ‘1910’ is the average from 1910 to 1919 etc. Data includes disasters recorded up to April 2024.", "type": "StackedBar", "title": "Decadal average: Annual number of deaths from disasters", "ySlugs": "deaths_all_disasters", "subtitle": "Disasters include all geophysical, meteorological and climate events including earthquakes, volcanic activity, landslides, drought, wildfires, storms, and flooding. Decadal figures are measured as the annual average over the subsequent ten-year period.", "tableSlug": "decadal", "yScaleToggle": "true", "Timespan Radio": "Decadal average", "Impact Dropdown": "Deaths", "Per capita Checkbox": "false", "Disaster Type Dropdown": "All disasters"}, {"note": "Decadal figures are measured as the annual average over the subsequent ten-year period. This means figures for ‘1900’ represent the average from 1900 to 1909; ‘1910’ is the average from 1910 to 1919 etc. Data includes disasters recorded up to April 2024.", "type": "StackedBar", "title": "Decadal average: Annual number of people injured from disasters", "ySlugs": "injured_all_disasters", "subtitle": "Disasters include all geophysical, meteorological and climate events including earthquakes, volcanic activity, landslides, drought, wildfires, storms, and flooding. Decadal figures are measured as the annual average over the subsequent ten-year period.", "tableSlug": "decadal", "yScaleToggle": "true", "Timespan Radio": "Decadal average", "Impact Dropdown": "Injuries", "Per capita Checkb… |
2023-06-01 19:11:32 | 2025-04-04 04:21:34 | 58 | 2024-04-17 12:51:51 | Update version of natural disasters explorer | explorerTitle Natural Disasters explorerSubtitle Explore the global frequency, severity, and consequences of disasters. isPublished true selection World hideAlertBanner true hasMapTab true tab chart wpBlockId 46066 yAxisMin 0 table https://catalog.ourworldindata.org/explorers/emdat/latest/natural_disasters/natural_disasters_yearly.csv annual table https://catalog.ourworldindata.org/explorers/emdat/latest/natural_disasters/natural_disasters_decadal.csv decadal hideAnnotationFieldsInTitle true graphers title subtitle Disaster Type Dropdown Impact Dropdown Timespan Radio Per capita Checkbox tableSlug ySlugs yScaleToggle xSlug colorSlug type grapherId sourceDesc note tab hasMapTab Decadal average: Annual number of deaths from disasters Disasters include all geophysical, meteorological and climate events including earthquakes, volcanic activity, landslides, drought, wildfires, storms, and flooding. Decadal figures are measured as the annual average over the subsequent ten-year period. All disasters Deaths Decadal average false decadal deaths_all_disasters true StackedBar Decadal figures are measured as the annual average over the subsequent ten-year period. This means figures for ‘1900’ represent the average from 1900 to 1909; ‘1910’ is the average from 1910 to 1919 etc. Data includes disasters recorded up to April 2024. Decadal average: Annual number of people injured from disasters Disasters include all geophysical, meteorological and climate events including earthquakes, volcanic activity, landslides, drought, wildfires, storms, and flooding. Decadal figures are measured as the annual average over the subsequent ten-year period. All disasters Injuries Decadal average false decadal injured_all_disasters true StackedBar Decadal figures are measured as the annual average over the subsequent ten-year period. This means figures for ‘1900’ represent the average from 1900 to 1909; ‘1910’ is the average from 1910 to 1919 etc. Data includes disasters recorded up to April 2024. Decadal average: Annual number of p… | True |
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2024-05-22 16:01:01 | 2025-04-04 04:21:34 | 58 | 2024-05-27 10:25:54 | Improve footnote | # DO NOT EDIT THIS FILE BY HAND. It is automatically generated using a script. Any changes made directly to it will be overwritten. explorerTitle Natural Disasters explorerSubtitle Explore the global frequency, severity, and consequences of disasters. isPublished false selection World hideAlertBanner true hasMapTab true tab chart wpBlockId 46066 yAxisMin 0 hideAnnotationFieldsInTitle true minTime 2000 graphers yVariableIds Disaster Type Dropdown Impact Dropdown Timespan Radio Per capita Checkbox type note title missingDataStrategy hasMapTab 899768 899769 899771 899770 899772 899773 899774 899775 899776 899777 899778 All disasters (by type) Deaths Decadal average false StackedBar Values are annual numbers averaged over all years in the same decade. For example, values for 2000 show the 2000 to 2009 average. Data pre-2000 is incomplete, see [our article on missing data](https://ourworldindata.org/disaster-database-limitations). Disasters are recorded until April 2024. Decadal average: Annual number of deaths from natural disasters show false 899576 899577 899578 899579 899580 899581 899582 899583 899584 899585 899586 All disasters (by type) Requiring assistance Decadal average false StackedBar Values are annual numbers averaged over all years in the same decade. For example, values for 2000 show the 2000 to 2009 average. Data pre-2000 is incomplete, see [our article on missing data](https://ourworldindata.org/disaster-database-limitations). Disasters are recorded until April 2024. Decadal average: Annual number of people requiring immediate assistance from natural disasters show false 899601 899600 899602 899603 899604 899605 899606 899607 899609 899608 899610 All disasters (by type) Homeless Decadal average false StackedBar Values are annual numbers averaged over all years in the same decade. For example, values for 2000 show the 2000 to 2009 average. Data pre-2000 is incomplete, see [our article on missing data](https://ourworldindata.org/disaster-database-limitations). Disasters are recorded until April 202… | False |
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2023-06-01 19:11:25 | 2025-04-04 04:21:34 | 58 | 2024-08-19 07:16:48 | Updated natural-resources sources | explorerTitle Fossil Fuels explorerSubtitle Explore reserves, production, trade, and consumption of fossil fuels. isPublished true selection United States Russia Norway United Kingdom Germany Sweden China hideAlertBanner true subNavId subNavCurrentId thumbnail https://assets.ourworldindata.org/uploads/2022/03/Fossil-Fuels-Data-Explorer.png hasMapTab true yAxisMin 0 hideTitleAnnotation true tab map graphers title subtitle Resource Dropdown Metric Dropdown Count Radio tableSlug ySlugs yScaleToggle xSlug baseColorScheme type hasMapTab note Crude oil reserves Proved reserves are fuels that are known with reasonable certainty to be recoverable in the future from known reservoirs under existing economic and operating conditions. Oil Reserves Total annual_fossil oil_reserves false owid-distinct LineChart true Crude oil reserves per capita Proved reserves are fuels that are known with reasonable certainty to be recoverable in the future from known reservoirs under existing economic and operating conditions. Oil Reserves Per capita annual_fossil oil_reserves_per_capita false owid-distinct LineChart true This includes the production of crude oil, including lease condensate. Crude oil production Oil Production Total annual_fossil oil_production false owid-distinct LineChart true This includes the production of crude oil, including lease condensate. Monthly oil production Oil Monthly Production Total monthly_fossil oil_production_monthly false owid-distinct LineChart true Monthly production is allocated to the first day of each month: so, December 2019 production is allocated to 1st December 2019. This includes the production of crude oil, including lease condensate. Oil consumption Oil consumption measures the consumption of all refined petroleum products – this includes crude oil and its petroleum products after processing. Oil Consumption Total annual_fossil oil_consumption false owid-distinct LineChart true Crude oil imports Oil Imports Total annual_fossil oil_imports false owid-distinct LineChart true Th… | True |
66 | 66 | new-flu-explorer-draft | {"blocks": [{"args": [], "type": "graphers", "block": [{"note": "The share of positive tests is calculated by dividing the number of tests that were positive to any flu strain by three possible denominators, based on data availability. If both values are available then the denominator is the sum of positive and negative tests; if not then the number specimens processed is used; if neither of those are available then the number of specimens received by the testing facility is used.", "type": "LineChart", "title": "Weekly share of influenza tests that were positive", "ySlugs": "pcnt_poscombined", "subtitle": "People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potential cases of influenza are tested by labs to confirm whether they have influenza and to identify their strain. The level of testing may vary between countries and over time.", "tableSlug": "flu_weekly", "Interval Radio": "Weekly", "Metric Dropdown": "Share of positive tests (%)", "timelineMinTime": "-4043", "Surveillance type Dropdown": "All types", "Confirmed cases or Symptoms Radio": "Confirmed cases"}, {"tab": "map", "note": "The share of positive tests is calculated by dividing the number of tests that were positive to any flu strain by three possible denominators, based on data availability. If both values are available then the denominator is the sum of positive and negative tests; if not then the number specimens processed is used; if neither of those are available then the number of specimens received by the testing facility is used.", "type": "LineChart", "title": "Monthly share of influenza tests that were positive", "ySlugs": "pcnt_poscombined", "subtitle": "People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potential cases of influenza are tested by labs to confirm whether they have influenza and to identify their strain. The level of testing may vary between countries and over time.", "tableSlug"… |
2023-06-01 19:11:28 | 2025-04-04 04:21:34 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Influenza explorerSubtitle Explore the data produced by the World Health Organization on influenza. selection Northern Hemisphere Southern Hemisphere isPublished false thumbnail hideAlertBanner true hideAnnotationFieldsInTitle true yAxisMin 0 wpBlockId 56732 hasMapTab true pickerColumnSlugs Country downloadDataLink graphers title subtitle ySlugs tableSlug type Confirmed cases or Symptoms Radio Metric Dropdown Interval Radio Surveillance type Dropdown timelineMinTime selectedFacetStrategy facetYDomain hasMapTab note defaultView tab Weekly share of influenza tests that were positive People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potential cases of influenza are tested by labs to confirm whether they have influenza and to identify their strain. The level of testing may vary between countries and over time. pcnt_poscombined flu_weekly LineChart Confirmed cases Share of positive tests (%) Weekly All types -4043 The share of positive tests is calculated by dividing the number of tests that were positive to any flu strain by three possible denominators, based on data availability. If both values are available then the denominator is the sum of positive and negative tests; if not then the number specimens processed is used; if neither of those are available then the number of specimens received by the testing facility is used. Monthly share of influenza tests that were positive People who were tested had a respiratory infection with a fever, cough and onset within the last 10 days. Only a fraction of potential cases of influenza are tested by labs to confirm whether they have influenza and to identify their strain. The level of testing may vary between countries and over time. pcnt_poscombined flu_monthly LineChart Confirmed cases Share of positive tests (%) Monthly All types -4043 The share of positive tests is calculated by dividing the number of tests that were positive to any flu strain by three possible denominators,… | False |
67 | 67 | next-ship-estimates | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "How many hours until Next becomes OurWorldInData.org? Here's what the team is predicting", "ySlugs": "estimatedHoursUntilShip", "subtitle": "When a project will ship is never a certainty—lots of variables can impact the final ship date. One forecasting approaching is to build an ensemble of different models and average the results. In this chart, each model was trained differently before generating their predictions. Some implement a \"calm\" algorithm. Others, a \"caffeinated\" one. The ensemble should provide a better forecast than any individual prediction.", "hasMapTab": "false", "tableSlug": "Predictions", "sourceDesc": "Data is updated daily from OCDC (Our world in Data Center for Data Collection)", "Group Radio": "By person", "hasChartTab": "true"}, {"type": "WorldMap", "title": "How many hours until Next becomes OurWorldInData.org? Here's what the team is predicting, by country", "ySlugs": "estimatedHoursUntilShip", "subtitle": "Countries that have implemented strict lockdown measures have higher rates of indoor time and thus more optimistic about the amount of work we can get done in a shorter time period.", "hasMapTab": "true", "tableSlug": "Countries", "sourceDesc": "This chart doesn't actually work yet, but wouldn't it be nice if we could do group by on the fly!", "Group Radio": "By country", "hasChartTab": "false"}, {"type": "LineChart", "title": "Issues created & closed", "ySlugs": "issuesCreated issuesClosed", "hasMapTab": "false", "tableSlug": "Issues", "Group Radio": "Issues created", "hasChartTab": "true"}, {"type": "LineChart", "title": "Work remaining", "ySlugs": "issuesStillOpen pDaysRemaining", "hasMapTab": "false", "tableSlug": "Issues", "Group Radio": "Issues remaining", "hasChartTab": "true"}, {"type": "LineChart", "title": "P-days opened & closed", "ySlugs": "pDaysCreated pDaysClosed", "hasMapTab": "false", "tableSlug": "Issues", "Group Radio": "P-days created & closed", "hasChartTab": "true"}, {"type"… |
2023-06-01 19:11:25 | 2025-04-04 04:21:34 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle When Will We Ship Next? explorerSubtitle A dashboard for measuring progress. [Edit sheet](https://docs.google.com/spreadsheets/d/1_zEQTYk_VVhxNC72N-UtCSWQ3KBslqavaMv8tdYc5eg). selection Breck~Daniel~Marcel~Ernst~Esteban~Shahid # todo: add a select all entities selection option? selection=* # end table. todo: fix empty rows bug yAxisMin 0 # todo: would be nice if we could do real time groups by country graphers title ySlugs subtitle Group Radio hasMapTab type hasChartTab sourceDesc tableSlug How many hours until Next becomes OurWorldInData.org? Here's what the team is predicting estimatedHoursUntilShip When a project will ship is never a certainty—lots of variables can impact the final ship date. One forecasting approaching is to build an ensemble of different models and average the results. In this chart, each model was trained differently before generating their predictions. Some implement a "calm" algorithm. Others, a "caffeinated" one. The ensemble should provide a better forecast than any individual prediction. By person false LineChart true Data is updated daily from OCDC (Our world in Data Center for Data Collection) Predictions How many hours until Next becomes OurWorldInData.org? Here's what the team is predicting, by country estimatedHoursUntilShip Countries that have implemented strict lockdown measures have higher rates of indoor time and thus more optimistic about the amount of work we can get done in a shorter time period. By country true WorldMap false This chart doesn't actually work yet, but wouldn't it be nice if we could do group by on the fly! Countries Issues created & closed issuesCreated issuesClosed Issues created false LineChart true Issues Work remaining issuesStillOpen pDaysRemaining Issues remaining false LineChart true Issues P-days opened & closed pDaysCreated pDaysClosed P-days created & closed false LineChart true Issues Burndown burndownPDays burndownIssues A negative burndown means we are creating more work than we are finishing Burndown false Li… | False |
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2024-04-19 10:14:23 | 2025-04-04 04:21:34 | 70 | 2024-04-19 13:09:25 | Updated owid-grapher-stats: Add ETL data | explorerTitle [TEST] owid-grapher stats isPublished false table https://raw.githubusercontent.com/sophiamersmann/data-dump/main/owid-grapher.csv owid-grapher table https://raw.githubusercontent.com/sophiamersmann/data-dump/main/etl.csv etl selection Daniel Bachler Marcel Gerber graphers Repository Dropdown Metric Dropdown Visualisation Radio tableSlug ySlugs type owid-grapher Number of commits Lines owid-grapher num_commits owid-grapher Number of lines added Lines owid-grapher num_lines_added owid-grapher Number of lines removed Lines owid-grapher num_lines_removed owid-grapher Line count difference Lines owid-grapher num_lines_total owid-grapher Number of commits Stacked owid-grapher num_commits StackedArea owid-grapher Number of lines added Stacked owid-grapher num_lines_added StackedArea owid-grapher Number of lines removed Stacked owid-grapher num_lines_removed StackedArea etl Number of commits Lines etl num_commits etl Number of lines added Lines etl num_lines_added etl Number of lines removed Lines etl num_lines_removed etl Line count difference Lines etl num_lines_total etl Number of commits Stacked etl num_commits StackedArea etl Number of lines added Stacked etl num_lines_added StackedArea etl Number of lines removed Stacked etl num_lines_removed StackedArea columns owid-grapher slug name type transform author Author EntityName date Day Date num_commits Number of commits Integer num_lines_added Number of lines added Integer num_lines_removed Number of lines removd Integer num_lines_total Number of lines total Integer subtract num_lines_added num_lines_removed columns etl slug name type transform author Author EntityName date Day Date num_commits Number of commits Integer num_lines_added Number of lines added Integer num_lines_removed Number of lines removd Integer num_lines_total Number of lines total Integer subtract num_lines_added num_lines_removed | False |
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2023-10-16 22:33:55 | 2025-04-04 04:21:34 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle OWID in maps isPublished false thumbnail explorerSubtitle Explore where we have been! selection World wpBlockId subNavId subNavCurrentId owid-maps entityType region graphers grapherId yVariableIds ySlugs Indicator Dropdown Person Dropdown List countries Checkbox type yAxisMin title subtitle note yScaleToggle colorSlug colorVariableId tab hideRelativeToggle hasMapTab baseColorScheme 815934 Countries visited All false Countries visited by someone map 815935 Countries visited All true Marimekko Countries visited by someone 123 815877 Countries visited Antoinette false 815878 Countries visited Antoinette true Marimekko 123 815880 Countries visited Bastian false 815881 Countries visited Bastian true Marimekko 123 815967 Countries visited Bobbie false 815968 Countries visited Bobbie true Marimekko 123 815883 Countries visited Charlie false 815884 Countries visited Charlie true Marimekko 123 815958 Countries visited Daniel false 815959 Countries visited Daniel true Marimekko 123 815886 Countries visited Ed false 815887 Countries visited Ed true Marimekko 123 815889 Countries visited Esteban false 815890 Countries visited Esteban true Marimekko 123 815892 Countries visited Fiona false 815893 Countries visited Fiona true Marimekko 123 815895 Countries visited Ike false 815896 Countries visited Ike true Marimekko 123 815898 Countries visited Lars false 815899 Countries visited Lars true Marimekko 123 815901 Countries visited Lucas false 815902 Countries visited Lucas true Marimekko 123 815904 Countries visited Marcel false 815905 Countries visited Marcel true Marimekko 123 815907 Countries visited Marwa false 815908 Countries visited Marwa true Marimekko 123 815910 Countries visited Max false 815911 Countries visited Max true Marimekko 123 815913 Countries visited Mo… | False |
70 | 70 | plastic-pollution | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "type": "DiscreteBar", "title": "Plastic waste generation", "subtitle": "This measures total plastic waste generation prior to management and therefore does not represent the quantity of plastic at risk of polluting waterways, rivers and the ocean environment.", "hasMapTab": "true", "yScaleToggle": "true", "yVariableIds": "97679", "Metric Dropdown": "Plastic waste generation", "Source Dropdown": "Jambeck et al. (2015)", "Per capita Checkbox": "false", "Sub-metric Dropdown": " ", "selectedFacetStrategy": "none", "Share of world total Checkbox": "false"}, {"tab": "map", "type": "DiscreteBar", "title": "Plastic waste generation per capita", "subtitle": "Daily plastic waste generation per person, measured in kilograms per person per day. This measures total plastic waste generation prior to management and therefore does not represent the quantity of plastic at risk of polluting waterways, rivers and the ocean environment.", "hasMapTab": "true", "yScaleToggle": "true", "yVariableIds": "65358", "Metric Dropdown": "Plastic waste generation", "Source Dropdown": "Jambeck et al. (2015)", "Per capita Checkbox": "true", "selectedFacetStrategy": "none", "Share of world total Checkbox": "false"}, {"note": "Regional aggregates were calculated by Our World in Data and are based on those specified by the [OECD](#dod:oecd-regions).", "type": "StackedArea", "title": "Plastic waste generation", "subtitle": "This measures total plastic waste generation prior to management and therefore does not represent the quantity of plastic at risk of polluting waterways, rivers and the ocean environment.", "hasMapTab": "false", "yScaleToggle": "true", "yVariableIds": "814672", "Metric Dropdown": "Plastic waste generation", "Source Dropdown": "OECD", "Per capita Checkbox": "false", "selectedFacetStrategy": "entity", "Share of world total Checkbox": "false"}, {"tab": "map", "type": "DiscreteBar", "title": "Mismanaged plastic waste", "subtitle": "Mismanaged plastic waste include… |
2023-06-01 19:11:24 | 2025-04-04 04:21:34 | 49 | 2024-12-03 12:34:34 | plastic-pollution: Remove empty explorerSubtitle row | explorerTitle Plastic Waste and Pollution explorerSubtitle Explore global data on plastic waste generation, pollution, and trade. isPublished true selection United States China India hideAlertBanner subNavId wpBlockId 52472 thumbnail https://assets.ourworldindata.org/uploads/2022/08/Plastic-Waste-Data-Explorer.png hideAnnotationFieldsInTitle graphers yVariableIds Metric Dropdown Sub-metric Dropdown Per capita Checkbox Share of world total Checkbox title subtitle note type yAxisMin hasMapTab yScaleToggle Source Dropdown selectedFacetStrategy tab 97679 Plastic waste generation false false Plastic waste generation This measures total plastic waste generation prior to management and therefore does not represent the quantity of plastic at risk of polluting waterways, rivers and the ocean environment. DiscreteBar true true Jambeck et al. (2015) none map 65358 Plastic waste generation true false Plastic waste generation per capita Daily plastic waste generation per person, measured in kilograms per person per day. This measures total plastic waste generation prior to management and therefore does not represent the quantity of plastic at risk of polluting waterways, rivers and the ocean environment. DiscreteBar true true Jambeck et al. (2015) none map 814672 Plastic waste generation false false Plastic waste generation This measures total plastic waste generation prior to management and therefore does not represent the quantity of plastic at risk of polluting waterways, rivers and the ocean environment. Regional aggregates were calculated by Our World in Data and are based on those specified by the [OECD](#dod:oecd-regions). StackedArea false true OECD entity 146456 Mismanaged waste false false Mismanaged plastic waste Mismanaged plastic waste includes materials burned in open pits, dumped into seas or open waters, or disposed of in unsanitary landfills and dumpsites. DiscreteBar true true Meijer et al. (2021) none map 814670 Mismanaged waste false false Mismanaged plastic waste Mismanaged plast… | True |
71 | 71 | population-and-demography | {"blocks": [{"args": [], "type": "graphers", "block": [{"note": "Values as of 1 July of the indicated year.", "title": "Population", "ySlugs": "grapher__un__2024_07_12__un_wpp__population__population__sex_all__age_all__variant_estimates__121", "Sex Radio": "Both sexes", "Age Dropdown": "Total", "indicator Dropdown": "Population", "Projection scenario Radio": "None"}, {"note": "Values as of 1 July of the indicated year.", "title": "Population", "ySlugs": "grapher__un__2024_07_12__un_wpp_full__population__population__sex_all__age_all__variant_low__617", "subtitle": "Projections from 2024 onwards are based on the UN's low scenario.", "Sex Radio": "Both sexes", "Age Dropdown": "Total", "indicator Dropdown": "Population", "Projection scenario Radio": "Low"}, {"note": "Values as of 1 July of the indicated year.", "title": "Population", "ySlugs": "grapher__un__2024_07_12__un_wpp_full__population__population__sex_all__age_all__variant_medium__618", "subtitle": "Projections from 2024 onwards are based on the UN's medium scenario.", "Sex Radio": "Both sexes", "Age Dropdown": "Total", "indicator Dropdown": "Population", "Projection scenario Radio": "Medium"}, {"note": "Values as of 1 July of the indicated year.", "title": "Population", "ySlugs": "grapher__un__2024_07_12__un_wpp_full__population__population__sex_all__age_all__variant_high__616", "subtitle": "Projections from 2024 onwards are based on the UN's high scenario.", "Sex Radio": "Both sexes", "Age Dropdown": "Total", "indicator Dropdown": "Population", "Projection scenario Radio": "High"}, {"note": "Values as of 1 July of the indicated year.", "title": "Population of children under the age of 1", "ySlugs": "grapher__un__2024_07_12__un_wpp__population__population__sex_all__age_0__variant_estimates__99", "Sex Radio": "Both sexes", "Age Dropdown": "Under 1 year", "indicator Dropdown": "Population", "Projection scenario Radio": "None"}, {"note": "Values as of 1 July of the indicated year.", "title": "Population of children under the age of 1", "ySlugs": "grapher__un__2… |
2023-06-01 19:11:31 | 2025-04-14 15:55:56 | 74 | 2025-04-14 15:55:56 | Update explorer from ETL | # DO NOT EDIT THIS FILE MANUALLY. IT WAS GENERATED BY ETL step 'un/latest/un_wpp#population-and-demography'. explorerTitle Population & Demography isPublished true explorerSubtitle Explore data from the United Nations World Population Prospects. wpBlockId 52216 hasMapTab true thumbnail https://owid.cloud/app/uploads/2022/07/Population-Data-Explorer.png selection China India United States Indonesia Pakistan Nigeria Brazil Japan pickerColumnSlugs location population__all__all__records population_change__all__all__records population_density__all__all__records births__all__all__records birth_rate__all__all__records deaths__all__all__records death_rate__all__all__records fertility_rate__all__all__records growth_natural_rate__all__all__records growth_rate__all__all__records life_expectancy__all__at_birth__records net_migration__all__all__records net_migration_rate__all__all__records sex_ratio__none__at_birth__records dependency_ratio_total__all__none__records dependency_ratio_child__all__none__records dependency_ratio_old__all__none__records median_age__all__all__records graphers yVariableIds ySlugs indicator Dropdown Sex Radio Age Dropdown Projection scenario Radio title note subtitle yAxisMin type hasMapTab stackMode selectedFacetStrategy hideRelativeToggle grapher__un__2024_07_12__un_wpp__population__population__sex_all__age_all__variant_estimates__121 Population Both sexes Total None Population Values as of 1 July of the indicated year. grapher__un__2024_07_12__un_wpp_full__population__population__sex_all__age_all__variant_low__617 Population Both sexes Total Low Population Values as of 1 July of the indicated year. Projections from 2024 onwards are based on the UN's low scenario. grapher__un__2024_07_12__un_wpp_full__population__population__sex_all__age_all__variant_medium__618 Population Both sexes Total Medium Population Values as of 1 July of the indicated year. Projections from 2024 onwards are based on the UN's medium scenario. grapher__un__2024_07_12__un_wpp_full__population__population__sex_all__a… | True |
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2024-01-04 18:51:16 | 2025-04-04 04:21:34 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | selection Spain India Hong Kong United States United Kingdom China Nigeria Russia explorerTitle Population Source Explorer isPublished false thumbnail explorerSubtitle Explore country populations as per different sources wpBlockId subNavId subNavCurrentId population-source entityType region graphers yVariableIds ySlugs Source Dropdown Projections Checkbox type yAxisMin title subtitle selectedFacetStrategy 819330 HYDE (2023) LineChart 0 Population 818109 Fariss et al. (2022) LineChart Population 520907 UN WPP (2022) LineChart Population 539738 Penn World Table (2021) LineChart Population 417486 Maddison Project Database 2020 LineChart Population 597930 OWID (2023) false LineChart Population 597929 OWID (2023) true LineChart Population with projections 819330 818109 520907 539738 417486 All LineChart Population comparison columns variableId name slug 819330 HYDE (3.3) 818109 Fariss et al. (2022) 520907 UN WPP (2022) 539738 Penn World Table (2021) 417486 Maddison Project Database 2020 | False |
73 | 73 | population-source-etl-paths | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Population", "yVariableIds": "grapher/hyde/2024-01-02/all_indicators/all_indicators#popc_c", "Source Dropdown": "HYDE (2023)"}, {"type": "LineChart", "title": "Population", "yVariableIds": "grapher/demography/2023-12-20/population_fariss/population_fariss#population", "Source Dropdown": "Fariss et al. (2022)"}, {"type": "LineChart", "title": "Population", "yVariableIds": "grapher/un/2022-07-11/un_wpp/population#population__sex_all__age_all__variant_estimates", "Source Dropdown": "UN WPP (2022)"}, {"type": "LineChart", "title": "Population", "yVariableIds": "grapher/ggdc/2022-11-28/penn_world_table/penn_world_table#pop", "Source Dropdown": "Penn World Table (2021)"}, {"type": "LineChart", "title": "Population", "yVariableIds": "grapher/ggdc/2020-10-01/ggdc_maddison/maddison_gdp#population", "Source Dropdown": "Maddison Project Database 2020"}, {"type": "LineChart", "title": "Population", "yVariableIds": "grapher/demography/2023-03-31/population/population#population_historical", "Source Dropdown": "OWID (2023)", "Projections Checkbox": "false"}, {"type": "LineChart", "title": "Population with projections", "yVariableIds": "grapher/demography/2023-03-31/population/population#population", "Source Dropdown": "OWID (2023)", "Projections Checkbox": "true"}, {"type": "LineChart", "title": "Population comparison", "yVariableIds": "grapher/hyde/2024-01-02/all_indicators/all_indicators#popc_c grapher/demography/2023-12-20/population_fariss/population_fariss#population grapher/un/2022-07-11/un_wpp/population#population__sex_all__age_all__variant_estimates grapher/ggdc/2022-11-28/penn_world_table/penn_world_table#pop grapher/ggdc/2020-10-01/ggdc_maddison/maddison_gdp#population", "Source Dropdown": "All"}]}, {"args": [], "type": "columns", "block": [{"name": "HYDE (3.3)", "catalogPath": "grapher/hyde/2024-01-02/all_indicators/all_indicators#popc_c"}, {"name": "Fariss et al. (2022)", "catalogPath": "grapher/demography/2023-12-20/population_… |
2024-08-14 13:26:33 | 2025-04-04 04:21:34 | 49 | 2024-07-02 21:34:50 | variableId -> catalogPath | selection Spain explorerTitle Population Source Explorer (Marcel's version: ETL paths) isPublished false explorerSubtitle Explore country populations as per different sources wpBlockId subNavId subNavCurrentId population-source entityType region graphers yVariableIds ySlugs Source Dropdown Projections Checkbox type title grapher/hyde/2024-01-02/all_indicators/all_indicators#popc_c HYDE (2023) LineChart Population grapher/demography/2023-12-20/population_fariss/population_fariss#population Fariss et al. (2022) LineChart Population grapher/un/2022-07-11/un_wpp/population#population__sex_all__age_all__variant_estimates UN WPP (2022) LineChart Population grapher/ggdc/2022-11-28/penn_world_table/penn_world_table#pop Penn World Table (2021) LineChart Population grapher/ggdc/2020-10-01/ggdc_maddison/maddison_gdp#population Maddison Project Database 2020 LineChart Population grapher/demography/2023-03-31/population/population#population_historical OWID (2023) false LineChart Population grapher/demography/2023-03-31/population/population#population OWID (2023) true LineChart Population with projections grapher/hyde/2024-01-02/all_indicators/all_indicators#popc_c grapher/demography/2023-12-20/population_fariss/population_fariss#population grapher/un/2022-07-11/un_wpp/population#population__sex_all__age_all__variant_estimates grapher/ggdc/2022-11-28/penn_world_table/penn_world_table#pop grapher/ggdc/2020-10-01/ggdc_maddison/maddison_gdp#population All LineChart Population comparison columns catalogPath name slug grapher/hyde/2024-01-02/all_indicators/all_indicators#popc_c HYDE (3.3) grapher/demography/2023-12-20/population_fariss/population_fariss#population Fariss et al. (2022) grapher/un/2022-07-11/un_wpp/population#population__sex_all__age_all__variant_estimates UN WPP (2022) grapher/ggdc/2022-11-28/penn_world_table/penn_world_table#pop Penn World Table (2021) grapher/ggdc/2020-10-01/ggdc_maddison/maddison_gdp#population Maddison Project Database 2020 | False |
74 | 74 | poverty-comparison | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "chart", "note": "This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "title": "Poverty: Share of population living on less than $1 a day", "ySlugs": "headcount_ratio_100 headcount_ratio_dhi_pc_100", "subtitle": "LIS data relates to income after taxes and benefits [per capita](#dod:per-capita). Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$1 per day", "selectedFacetStrategy": "entity"}, {"tab": "chart", "note": "This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "title": "Poverty: Number of people living on less than $1 a day", "ySlugs": "headcount_100 headcount_dhi_pc_100", "subtitle": "LIS data relates to income after taxes and benefits [per capita](#dod:per-capita). Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita.", "yAxisMin": "0", "hasMapTab": "false", "tableSlug": "poverty_inequality", "Indicator Dropdown": "Number in poverty", "Poverty line Dropdown": "$1 per day", "selectedFacetStrategy": "entity"}, {"tab": "chart", "note": "LIS data relates to income after taxes and benefits [per capita](#dod:per-capita). Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "title": "Total shortfall from a poverty line of $1 a day", "ySlugs": "total_shortfall_100_year total_shortfall_dhi_pc_100", "subtitle": "This is the amount of money … |
2023-06-23 15:51:05 | 2025-04-04 04:21:34 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Poverty - World Bank, and LIS selection Chile Brazil South Africa United States France China explorerSubtitle Compare World Bank and Luxembourg Income Study data on poverty. isPublished true googleSheet wpBlockId 57728 entityType country or region pickerColumnSlugs headcount_ratio_215 headcount_ratio_365 headcount_ratio_685 headcount_ratio_3000 headcount_215 headcount_365 headcount_685 headcount_3000 headcount_ratio_50_median headcount_50_median headcount_ratio_dhi_pc_215 headcount_ratio_dhi_pc_365 headcount_ratio_dhi_pc_685 headcount_ratio_dhi_pc_3000 headcount_dhi_pc_215 headcount_dhi_pc_365 headcount_dhi_pc_3000 headcount_dhi_pc_685 headcount_ratio_50_median_dhi_pc headcount_50_median_dhi_pc graphers title ySlugs Indicator Dropdown Poverty line Dropdown subtitle note type tableSlug yAxisMin selectedFacetStrategy hasMapTab tab relatedQuestionText relatedQuestionUrl defaultView Poverty: Share of population living on less than $1 a day headcount_ratio_100 headcount_ratio_dhi_pc_100 Share in poverty $1 per day LIS data relates to income after taxes and benefits [per capita](#dod:per-capita). Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. poverty_inequality 0 entity false chart Poverty: Number of people living on less than $1 a day headcount_100 headcount_dhi_pc_100 Number in poverty $1 per day LIS data relates to income after taxes and benefits [per capita](#dod:per-capita). Depending on the country and year, PIP data relates to income measured after taxes and benefits, or to consumption, per capita. This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. poverty_inequality 0 … | True |
75 | 75 | poverty-explorer | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Poverty: Share of population living on less than $1 a day", "ySlugs": "headcount_ratio_100", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$1 per day", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Share of population living in extreme poverty", "ySlugs": "headcount_ratio_215", "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "defaultView": "true", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$2.15 per day: International Poverty Line", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Poverty: Share of po… |
2023-06-01 19:11:29 | 2025-04-04 04:21:34 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Poverty selection Bangladesh Bolivia Kenya Mozambique Nigeria Zambia explorerSubtitle Explore key poverty indicators from World Bank data. isPublished true googleSheet https://docs.google.com/spreadsheets/d/17KJ9YcvfdmO_7-Sv2Ij0vmzAQI6rXSIqHfJtgFHN-a8 wpBlockId 57756 entityType country or region thumbnail https://ourworldindata.org/uploads/2022/10/chart.png pickerColumnSlugs headcount_ratio_100 headcount_ratio_215 headcount_ratio_365 headcount_ratio_685 headcount_ratio_1000 headcount_ratio_2000 headcount_ratio_3000 headcount_ratio_4000 headcount_100 headcount_215 headcount_365 headcount_685 headcount_1000 headcount_2000 headcount_3000 headcount_4000 headcount_ratio_40_median headcount_ratio_50_median headcount_ratio_60_median headcount_40_median headcount_50_median headcount_60_median mean median decile1_thr decile9_thr graphers title ySlugs Indicator Dropdown Poverty line Dropdown Household survey data type Dropdown tableSlug subtitle note type yAxisMin selectedFacetStrategy hasMapTab tab yScaleToggle Show breaks between less comparable surveys Checkbox relatedQuestionText relatedQuestionUrl defaultView Poverty: Share of population living on less than $1 a day headcount_ratio_100 Share in poverty $1 per day Show data from both income and consumption surveys income_consumption_2017 This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Share of population living in extreme poverty headcount_ratio_215 Share in poverty $2.15 per day: International Poverty Line Show data from both income and consumption surveys income_consumption_2017 Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for diff… | True |
76 | 76 | poverty-explorer-2011-vs-2017-ppp | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2011 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Share of population living in extreme poverty (2011 prices)", "ySlugs": "headcount_ratio_190_ppp2011", "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2011_2017", "Indicator Dropdown": "Share in poverty", "relatedQuestionUrl": "https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line", "relatedQuestionText": "From $1.90 to $2.15 a day: the updated International Poverty Line", "Poverty line Dropdown": "$1.90 per day: International Poverty Line", "International-$ Dropdown": "2011 prices", "Household survey data type Dropdown": "Show data from both income and consumption surveys"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2011 prices. It relates to income measured after taxes and benefits [per capita](#dod:per-capita).", "title": "Number of people living in extreme poverty (2011 prices)", "ySlugs": "headcount_190_ppp2011", "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_2011_2017", "Indicator Dropdown": "Number in poverty", "relatedQuestionUrl": "https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line", "relatedQuestionText": "From $1.90 to $2.15 a day: the updated International Poverty Line", "Poverty line Dropdown": "$1.90 per day: International Po… |
2023-06-01 19:11:23 | 2025-04-04 04:21:34 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Poverty - World Bank 2011 vs. 2017 prices selection Mozambique Nigeria Kenya Bangladesh Bolivia World explorerSubtitle Compare key poverty indicators from World Bank data in 2011 and 2017 prices. isPublished true googleSheet https://docs.google.com/spreadsheets/d/1mR0LPEGlY-wCp1q9lNTlDbVIG65JazKvHL16my9tH8Y wpBlockId 57756 entityType country or region graphers title ySlugs Indicator Dropdown International-$ Dropdown Poverty line Dropdown Household survey data type Dropdown tableSlug subtitle note type yAxisMin selectedFacetStrategy hasMapTab tab yScaleToggle relatedQuestionText relatedQuestionUrl defaultView Share of population living in extreme poverty (2011 prices) headcount_ratio_190_ppp2011 Share in poverty 2011 prices $1.90 per day: International Poverty Line Show data from both income and consumption surveys income_consumption_2011_2017 Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2011 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map From $1.90 to $2.15 a day: the updated International Poverty Line https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line Number of people living in extreme poverty (2011 prices) headcount_190_ppp2011 Number in poverty 2011 prices $1.90 per day: International Poverty Line Income surveys only income_2011_2017 Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2011 prices. It relates to income measured after taxes and benefits [per capita](#dod:per-capita). 0.0 true … | True |
77 | 77 | poverty-lis | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "title": "Poverty: Share of population living on less than $1 a day (after tax)", "ySlugs": "headcount_ratio_dhi_eq_100", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries. Income here is measured after taxes and benefits. Income has also been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "lis_vars", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$1 per day", "Income measure Dropdown": "After tax", "Adjust for cost sharing within households (equivalized income) Checkbox": "true"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "title": "Poverty: Share of population living on less than $2 a day (after tax)", "ySlugs": "headcount_ratio_dhi_eq_200", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries. Income here is measured after taxes and benefits. Income has also been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating.", "yAxisMin": "0", "hasMapTab": "true", "tableSlug": "lis_vars", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$2 per day", "Income measure Dropdown": "After tax", "Adjust for cost sharing within households (equivalized income) Checkbox": "true"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "title": "Poverty: Share of population living on less than $5 a day (after tax)", "ySlugs": "headcount_ratio_dhi_eq_500", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.… |
2024-02-02 18:43:22 | 2025-04-04 04:21:34 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Poverty - Luxembourg Income Study selection Chile Brazil South Africa United States France China explorerSubtitle Explore Luxembourg Income Study data on poverty. isPublished true googleSheet https://docs.google.com/spreadsheets/d/1UFdwB1iBpP2tEP6GtxCHvW1GGhjsFflh42FWR80rYIg wpBlockId 57755 entityType country or region pickerColumnSlugs headcount_ratio_mi_pc_3000 headcount_ratio_dhi_pc_3000 headcount_mi_pc_3000 headcount_dhi_pc_3000 total_shortfall_mi_pc_3000 total_shortfall_dhi_pc_3000 avg_shortfall_mi_pc_3000 avg_shortfall_dhi_pc_3000 income_gap_ratio_mi_pc_3000 income_gap_ratio_dhi_pc_3000 poverty_gap_index_mi_pc_3000 poverty_gap_index_dhi_pc_3000 headcount_ratio_50_median_mi_pc headcount_50_median_mi_pc total_shortfall_50_median_mi_pc avg_shortfall_50_median_mi_pc income_gap_ratio_50_median_mi_pc poverty_gap_index_50_median_mi_pc graphers title ySlugs Indicator Dropdown Poverty line Dropdown Income measure Dropdown Adjust for cost sharing within households (equivalized income) Checkbox subtitle note type selectedFacetStrategy hasMapTab tab tableSlug relatedQuestionText relatedQuestionUrl yAxisMin defaultView Poverty: Share of population living on less than $1 a day (after tax) headcount_ratio_dhi_eq_100 Share in poverty $1 per day After tax true This data is adjusted for inflation and for differences in living costs between countries. Income here is measured after taxes and benefits. Income has also been [equivalized](#dod:equivalization) – adjusted to account for the fact that people in the same household can share costs like rent and heating. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. true map lis_vars 0 Poverty: Share of population living on less than $2 a day (after tax) headcount_ratio_dhi_eq_200 Share in poverty $2 per day After tax true This data is adjusted for inflation and for differences in living costs between countries. Income here is measured after taxes and benefits. Income has also been [eq… | True |
78 | 78 | poverty-wb | {"blocks": [{"args": [], "type": "graphers", "block": [{"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Poverty: Share of population living on less than $1 a day", "ySlugs": "headcount_ratio_100", "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$1 per day", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Share of population living in extreme poverty", "ySlugs": "headcount_ratio_215", "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries.", "yAxisMin": "0.0", "hasMapTab": "true", "tableSlug": "income_consumption_2017", "defaultView": "true", "Indicator Dropdown": "Share in poverty", "Poverty line Dropdown": "$2.15 per day: International Poverty Line", "Household survey data type Dropdown": "Show data from both income and consumption surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "title": "Poverty: Share of po… |
2024-02-02 18:43:25 | 2025-04-04 04:21:35 | 62 | 2025-02-05 15:19:00 | :bug: keep single quotes | explorerTitle Poverty - World Bank selection Mozambique Nigeria Kenya Bangladesh Bolivia World explorerSubtitle Explore World Bank data on poverty. isPublished true googleSheet https://docs.google.com/spreadsheets/d/17KJ9YcvfdmO_7-Sv2Ij0vmzAQI6rXSIqHfJtgFHN-a8 wpBlockId 57756 entityType country or region pickerColumnSlugs headcount_ratio_215 headcount_ratio_365 headcount_ratio_685 headcount_ratio_3000 headcount_215 headcount_365 headcount_685 headcount_3000 headcount_ratio_50_median headcount_50_median graphers title ySlugs Indicator Dropdown Poverty line Dropdown Household survey data type Dropdown tableSlug subtitle note type yAxisMin selectedFacetStrategy hasMapTab tab Show breaks between less comparable surveys Checkbox relatedQuestionText relatedQuestionUrl defaultView Poverty: Share of population living on less than $1 a day headcount_ratio_100 Share in poverty $1 per day Show data from both income and consumption surveys income_consumption_2017 This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false Share of population living in extreme poverty headcount_ratio_215 Share in poverty $2.15 per day: International Poverty Line Show data from both income and consumption surveys income_consumption_2017 Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries. This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). 0.0 true map false true Poverty: Share of population living on less than $3.65… | True |
79 | 79 | sample-indicator-explorer | {"blocks": [{"args": [], "type": "graphers", "block": [{"yVariableIds": "539022", "Doubled Checkbox": "false", "Example Charts Radio": "Life expectancy"}, {"type": "ScatterPlot", "xVariableId": "446390", "yVariableIds": "539022", "sizeVariableId": "525709", "timelineMaxTime": "2020", "timelineMinTime": "2020", "Doubled Checkbox": "false", "Example Charts Radio": "Life expectancy vs GDP per capita"}, {"type": "StackedArea", "title": "Share of countries by women in parliament", "stackMode": "relative", "yVariableIds": "576672 576673 576674 576675 576676 576677", "Doubled Checkbox": "false", "Example Charts Radio": "Women in parliament"}, {"ySlugs": "life_expectancy_doubled", "Doubled Checkbox": "true", "Example Charts Radio": "Life expectancy"}, {"ySlugs": "life_expectancy_different_name", "Example Charts Radio": "Life expectancy with a different name"}, {"ySlugs": "life_expectancy_different_unit", "Example Charts Radio": "Life expectancy with a different unit"}]}, {"args": [], "type": "columns", "block": [{"name": "Life expectancy", "variableId": "539022"}, {"name": "No women", "variableId": "576672"}, {"name": "Less than 10% women", "variableId": "576673"}, {"name": "Life expectancy (doubled)", "slug": "life_expectancy_doubled", "type": "Numeric", "unit": "years", "shortUnit": "years", "transform": "multiplyBy 539022 2"}, {"name": "Life expectancy with a different name", "slug": "life_expectancy_different_name", "transform": "duplicate 539022"}, {"slug": "life_expectancy_different_unit", "unit": "y", "shortUnit": "y", "transform": "duplicate 539022"}]}], "_version": 1, "selection": ["World"], "isPublished": "false", "explorerTitle": "Sample indicator-based explorer"} |
2023-07-19 13:24:36 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Sample indicator-based explorer selection World graphers Example Charts Radio Doubled Checkbox yVariableIds xVariableId sizeVariableId type timelineMinTime timelineMaxTime stackMode title ySlugs Life expectancy false 539022 Life expectancy vs GDP per capita false 539022 446390 525709 ScatterPlot 2020 2020 Women in parliament false 576672 576673 576674 576675 576676 576677 StackedArea relative Share of countries by women in parliament Life expectancy true life_expectancy_doubled Life expectancy with a different name life_expectancy_different_name Life expectancy with a different unit life_expectancy_different_unit columns variableId name slug transform type unit shortUnit 539022 Life expectancy 576672 No women 576673 Less than 10% women Life expectancy (doubled) life_expectancy_doubled multiplyBy 539022 2 Numeric years years Life expectancy with a different name life_expectancy_different_name duplicate 539022 life_expectancy_different_unit duplicate 539022 y y | False |
80 | 80 | scatter-per-capita-test | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "ScatterPlot", "title": "Access to electricity", "xSlug": "gdp_per_capita", "ySlugs": "access_to_electricity access_to_clean_water access_to_electricity access_to_clean_water access_to_electricity access_to_clean_water access_to_electricity access_to_clean_water", "tableSlug": "electricity", "selectedFacetStrategy": "metric"}]}, {"args": ["https://docs.google.com/spreadsheets/d/1TXTCG2WDb1IuAXcMAoEe07XCY6ZdvitbJ-EbHQRhOW0/export?format=csv", "electricity"], "type": "table", "block": null}, {"args": ["electricity"], "type": "columns", "block": [{"name": "Country name", "slug": "entity", "type": "EntityName"}, {"name": "Year", "slug": "year", "type": "Year"}, {"name": "Access to electricity", "slug": "access_to_electricity", "type": "Percentage"}, {"name": "GDP per capita", "slug": "gdp_per_capita", "type": "Numeric"}, {"name": "Access to clean water", "slug": "access_to_clean_water", "type": "Percentage"}]}], "_version": 1, "subNavId": "coronavirus", "yAxisMin": "0", "hasMapTab": "true", "selection": [], "thumbnail": null, "wpBlockId": "43869", "isPublished": "false", "explorerTitle": "scatter faceting", "hideAlertBanner": "true", "subNavCurrentId": "data-explorer", "downloadDataLink": null, "explorerSubtitle": "Download the complete _Our World in Data_ [COVID-19 dataset.](https://github.com/owid/covid-19-data/tree/master/public/data)", "pickerColumnSlugs": []} |
2023-06-01 19:11:30 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle scatter faceting isPublished false selection explorerSubtitle Download the complete _Our World in Data_ [COVID-19 dataset.](https://github.com/owid/covid-19-data/tree/master/public/data) hideAlertBanner true subNavId coronavirus subNavCurrentId data-explorer wpBlockId 43869 hasMapTab true yAxisMin 0 downloadDataLink thumbnail pickerColumnSlugs graphers title subtitle View Dropdown ySlugs yScaleToggle xSlug colorSlug type tableSlug hideAnnotationFieldsInTitle hasMapTab sortBy sortColumnSlug hideTotalValueLabel selectedFacetStrategy Access to electricity access_to_electricity access_to_clean_water access_to_electricity access_to_clean_water access_to_electricity access_to_clean_water access_to_electricity access_to_clean_water gdp_per_capita ScatterPlot electricity metric table https://docs.google.com/spreadsheets/d/1TXTCG2WDb1IuAXcMAoEe07XCY6ZdvitbJ-EbHQRhOW0/export?format=csv electricity columns electricity slug name type transform annotationsColumnSlug sourceName sourceLink dataPublishedBy dataPublisherSource retrievedDate additionalInfo tolerance colorScaleNumericMinValue colorScaleNumericBins colorScaleLegendDescription colorScaleNoDataLabel colorScaleEqualSizeBins colorScaleScheme colorScaleInvert colorScaleCategoricalBins entity Country name EntityName year Year Year access_to_electricity Access to electricity Percentage gdp_per_capita GDP per capita Numeric access_to_clean_water Access to clean water Percentage | False |
81 | 81 | scatter-test | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "ScatterPlot", "title": "Understanding the ScatterPlot size dimension", "xSlug": "year", "ySlugs": "gdp", "sizeSlug": "pop", "subtitle": "For years, the size dimension of scatter plots on Our World in Data has been a mystery", "colorSlug": "continent", "Examples Radio": "Intro"}, {"type": "ScatterPlot", "title": "A Common Misconception", "xSlug": "year", "ySlugs": "gdp", "sizeSlug": "cruiseShipsPerCapia", "subtitle": "Some assumed it referred to population, but that is not always the case", "colorSlug": "continent", "Examples Radio": "A Common Misconception"}, {"type": "ScatterPlot", "title": "Conclusion", "xSlug": "year", "ySlugs": "gdp", "sizeSlug": "randomGibberish", "subtitle": "I guess we will never know", "colorSlug": "continent", "Examples Radio": "Conclusion"}]}, {"args": [], "type": "table", "block": [{"gdp": "100", "pop": "1", "year": "2020", "continent": "North America", "entityName": "Canada", "randomGibberish": "430000", "cruiseShipsPerCapia": "1"}, {"gdp": "110", "pop": "2", "year": "2020", "continent": "Europe", "entityName": "France", "randomGibberish": "544433", "cruiseShipsPerCapia": "2"}, {"gdp": "10", "pop": ".1", "year": "2020", "continent": "Africa", "entityName": "Madeira", "randomGibberish": "555555", "cruiseShipsPerCapia": "1000"}]}, {"args": ["demo"], "type": "columns", "block": [{"name": "Gross Domestic Product", "slug": "gdp", "type": "Currency"}, {"name": "Continent", "slug": "continent", "type": "Continent"}, {"name": "Population", "slug": "pop", "type": "Integer"}, {"name": "Cruise Ships Per Person", "slug": "cruiseShipsPerCapia", "type": "Integer"}, {"name": "randomGibberish", "slug": "randomGibberish", "type": "Integer"}, {"name": "Location", "slug": "entityName", "type": "EntityName"}]}], "_version": 1, "defaultView": ["selection=Canada~France~Madeira"], "isPublished": "false", "explorerTitle": "ScatterPlot Test Explorer"} |
2023-06-01 19:11:29 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle ScatterPlot Test Explorer defaultView selection=Canada~France~Madeira isPublished false graphers Examples Radio title subtitle type ySlugs xSlug colorSlug sizeSlug Intro Understanding the ScatterPlot size dimension For years, the size dimension of scatter plots on Our World in Data has been a mystery ScatterPlot gdp year continent pop A Common Misconception A Common Misconception Some assumed it referred to population, but that is not always the case ScatterPlot gdp year continent cruiseShipsPerCapia Conclusion Conclusion I guess we will never know ScatterPlot gdp year continent randomGibberish table entityName year gdp continent pop cruiseShipsPerCapia randomGibberish Canada 2020 100 North America 1 1 430000 France 2020 110 Europe 2 2 544433 Madeira 2020 10 Africa .1 1000 555555 columns demo slug name type gdp Gross Domestic Product Currency continent Continent Continent pop Population Integer cruiseShipsPerCapia Cruise Ships Per Person Integer randomGibberish randomGibberish Integer entityName Location EntityName | False |
82 | 82 | sdgs | {"tab": "map", "blocks": [{"args": [], "type": "graphers", "block": [{"grapherId": "5111", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.1: Eradicate extreme poverty", "Indicator Dropdown": "1.1.1 Share below international poverty line"}, {"grapherId": "1595", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.2: Reduce poverty by at least 50%", "Indicator Dropdown": "1.2.1 Share below the national poverty line"}, {"grapherId": "413", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.2: Reduce poverty by at least 50%", "Indicator Dropdown": "1.2.2 Share in poverty by national definitions"}, {"grapherId": "1907", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.3: Implement social protection systems", "Indicator Dropdown": "1.3.1 Population covered by social protection"}, {"grapherId": "754", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.4: Equal rights to ownership, basic services, technology & economic resources", "Indicator Dropdown": "1.4.1 Access to basic services"}, {"Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.4: Equal rights to ownership, basic services, technology & economic resources", "Indicator Dropdown": "1.4.2 Secure tenure rights to land"}, {"grapherId": "1622", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.5: Resilience to disasters", "Indicator Dropdown": "1.5.1 Deaths from natural disasters"}, {"grapherId": "1836", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.5: Resilience to disasters", "Indicator Dropdown": "1.5.1 Affected persons from natural disasters"}, {"grapherId": "2075", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.5: Resilience to disasters", "Indicator Dropdown": "1.5.2 Direct economic loss from disasters"}, {"grapherId": "2735", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.5: Resilience to disasters", "Indicator Dropdown": "1.5.3 Disaster risk reduction strategies"}, {"grapherId": "3831", "Goal Dropdown": "1. No Poverty", "Target Dropdown": "1.5: Resilience to disasters", "Indicator Dropdown": … |
2023-06-01 19:11:33 | 2025-04-04 04:21:35 | 79 | 2025-02-11 18:05:34 | Updated sdgs | explorerTitle Sustainable Development Goals (SDGs) Data Explorer googleSheet https://docs.google.com/spreadsheets/d/1GpFsQUucqkshV0iHb4sgypKskuHQyl5I6_vtXJY2_Ss/edit#gid=0 isPublished false explorerSubtitle Download the complete Our World in Data SDGs Dataset. selection Nigeria Bangladesh India South Africa Brazil subNavId subNavCurrentId wpBlockId tab map graphers Goal Dropdown Target Dropdown Indicator Dropdown grapherId 1. No Poverty 1.1: Eradicate extreme poverty 1.1.1 Share below international poverty line 5111 1. No Poverty 1.2: Reduce poverty by at least 50% 1.2.1 Share below the national poverty line 1595 1. No Poverty 1.2: Reduce poverty by at least 50% 1.2.2 Share in poverty by national definitions 413 1. No Poverty 1.3: Implement social protection systems 1.3.1 Population covered by social protection 1907 1. No Poverty 1.4: Equal rights to ownership, basic services, technology & economic resources 1.4.1 Access to basic services 754 1. No Poverty 1.4: Equal rights to ownership, basic services, technology & economic resources 1.4.2 Secure tenure rights to land 1. No Poverty 1.5: Resilience to disasters 1.5.1 Deaths from natural disasters 1622 1. No Poverty 1.5: Resilience to disasters 1.5.1 Affected persons from natural disasters 1836 1. No Poverty 1.5: Resilience to disasters 1.5.2 Direct economic loss from disasters 2075 1. No Poverty 1.5: Resilience to disasters 1.5.3 Disaster risk reduction strategies 2735 1. No Poverty 1.5: Resilience to disasters 1.5.4 Local disaster risk reduction 3831 1. No Poverty 1.A: Mobilisation of resources to end poverty 1.A.1 Domestic resources to poverty reduction 1. No Poverty 1.A: Mobilisation of resources to end poverty 1.A.2 Government spending on health 1915 1. No Poverty 1.A: Mobilisation of resources to end poverty 1.A.2 Government spending on education 217 1. No Poverty 1.B Pro-poor policy frameworks 1.B.1 Pro-poor public social spending 2. Zero Hunger 2.1: Universal access to safe and nutritious food 2.1.1 Prevalence of undernourishment 311 2. Z… | False |
83 | 83 | site-bandwidth | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Bandwidth by site", "ySlugs": "gb", "subtitle": "Note that we are missing data before 10 March 2021 for Cloudflare.", "Metric Radio": "Bandwidth", "Stacked Checkbox": "false", "Rolling average Checkbox": "false"}, {"type": "LineChart", "title": "Bandwidth by site (rolling average)", "ySlugs": "gb_rolling_avg", "subtitle": "Note that we are missing data before 10 March 2021 for Cloudflare.", "defaultView": "true", "Metric Radio": "Bandwidth", "Stacked Checkbox": "false", "Rolling average Checkbox": "true"}, {"type": "StackedArea", "title": "Bandwidth by site (rolling average)", "ySlugs": "gb_rolling_avg", "subtitle": "Note that we are missing data before 10 March 2021 for Cloudflare.", "Metric Radio": "Bandwidth", "Stacked Checkbox": "true", "Rolling average Checkbox": "true"}, {"type": "LineChart", "title": "Requests by site", "ySlugs": "requests", "subtitle": "Note that we are missing data before 10 March 2021 for Cloudflare.", "Metric Radio": "Requests", "Stacked Checkbox": "false", "Rolling average Checkbox": "false"}]}, {"args": ["https://owid-public.nyc3.digitaloceanspaces.com/bandwidth-report-2022-03-09.csv"], "type": "table", "block": null}, {"args": [], "type": "columns", "block": [{"name": "Date", "slug": "date", "type": "Date"}, {"name": "Site", "slug": "site", "type": "EntityName"}, {"name": "Bandwidth", "slug": "gb", "type": "Integer", "unit": "GB", "shortUnit": "GB"}, {"name": "Bandwidth (7-day average)", "slug": "gb_rolling_avg", "type": "Numeric", "unit": "GB", "shortUnit": "GB", "transform": "rollingAverage date site gb 7"}, {"name": "Requests", "slug": "requests", "type": "Integer", "unit": "requests"}]}], "_version": 1, "yAxisMin": "0", "selection": ["covid.ourworldindata.org (cloudflare)", "covid.ourworldindata.org (netlify)", "ourworldindata.org (netlify)", "other (netlify)"], "isPublished": "false", "explorerTitle": "Bandwidth usage", "explorerSubtitle": "Collected from Netlify & Cloudflare"} |
2023-06-01 19:11:25 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Bandwidth usage explorerSubtitle Collected from Netlify & Cloudflare selection covid.ourworldindata.org (cloudflare) covid.ourworldindata.org (netlify) ourworldindata.org (netlify) other (netlify) yAxisMin 0 isPublished false graphers title ySlugs subtitle type Metric Radio Rolling average Checkbox Stacked Checkbox defaultView Bandwidth by site gb Note that we are missing data before 10 March 2021 for Cloudflare. LineChart Bandwidth false false Bandwidth by site (rolling average) gb_rolling_avg Note that we are missing data before 10 March 2021 for Cloudflare. LineChart Bandwidth true false true Bandwidth by site (rolling average) gb_rolling_avg Note that we are missing data before 10 March 2021 for Cloudflare. StackedArea Bandwidth true true Requests by site requests Note that we are missing data before 10 March 2021 for Cloudflare. LineChart Requests false false table https://owid-public.nyc3.digitaloceanspaces.com/bandwidth-report-2022-03-09.csv columns slug type name unit shortUnit transform date Date Date site EntityName Site gb Integer Bandwidth GB GB gb_rolling_avg Numeric Bandwidth (7-day average) GB GB rollingAverage date site gb 7 requests Integer Requests requests | False |
84 | 84 | slack-analytics | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "StackedArea", "title": "Messages per day", "ySlugs": "messages_in_public_channels_smooth messages_in_private_channels_smooth messages_in_shared_channels_smooth messages_in_dms_smooth", "subtitle": "14-day average", "stackMode": "absolute", "tableSlug": "messages", "Metric Radio": "Messages", "Stacked Checkbox": "false"}, {"type": "StackedArea", "title": "Messages per day", "ySlugs": "messages_in_public_channels_smooth messages_in_private_channels_smooth messages_in_shared_channels_smooth messages_in_dms_smooth", "subtitle": "14-day average", "stackMode": "relative", "tableSlug": "messages", "Metric Radio": "Messages", "Stacked Checkbox": "true"}]}, {"args": ["https://owid-public.nyc3.digitaloceanspaces.com/owid-slack-analytics-2022-05-05.csv", "messages"], "type": "table", "block": null}, {"args": ["messages"], "type": "columns", "block": [{"name": "Date", "slug": "date", "type": "Date"}, {"name": "Entity", "slug": "entity", "type": "EntityName"}, {"name": "Total enabled membership", "slug": "total_enabled_membership", "type": "Integer"}, {"name": "Enabled full members", "slug": "enabled_full_members", "type": "Integer"}, {"name": "Enabled guests", "slug": "enabled_guests", "type": "Integer"}, {"name": "Daily active members", "slug": "daily_active_members", "type": "Integer"}, {"name": "Daily members posting messages", "slug": "daily_members_posting_messages", "type": "Integer"}, {"name": "Weekly active members", "slug": "weekly_active_members", "type": "Integer"}, {"name": "Weekly members posting messages", "slug": "weekly_members_posting_messages", "type": "Integer"}, {"name": "Messages in public channels", "slug": "messages_in_public_channels", "type": "Integer"}, {"name": "Messages in private channels", "slug": "messages_in_private_channels", "type": "Integer"}, {"name": "Messages in shared channels", "slug": "messages_in_shared_channels", "type": "Integer"}, {"name": "Messages in DMs", "slug": "messages_in_dms", "type": "Integer"}, {"name": "Me… |
2023-06-01 19:11:26 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Slack Analytics explorerSubtitle Collected from Slack Admin Dashboard selection All yAxisMin 0 isPublished false graphers title ySlugs subtitle type Metric Radio Stacked Checkbox stackMode tableSlug Messages per day messages_in_public_channels_smooth messages_in_private_channels_smooth messages_in_shared_channels_smooth messages_in_dms_smooth 14-day average StackedArea Messages false absolute messages Messages per day messages_in_public_channels_smooth messages_in_private_channels_smooth messages_in_shared_channels_smooth messages_in_dms_smooth 14-day average StackedArea Messages true relative messages table https://owid-public.nyc3.digitaloceanspaces.com/owid-slack-analytics-2022-05-05.csv messages columns messages slug type name unit shortUnit transform date Date Date entity EntityName Entity total_enabled_membership Integer Total enabled membership enabled_full_members Integer Enabled full members enabled_guests Integer Enabled guests daily_active_members Integer Daily active members daily_members_posting_messages Integer Daily members posting messages weekly_active_members Integer Weekly active members weekly_members_posting_messages Integer Weekly members posting messages messages_in_public_channels Integer Messages in public channels messages_in_private_channels Integer Messages in private channels messages_in_shared_channels Integer Messages in shared channels messages_in_dms Integer Messages in DMs messages_in_public_channels_smooth Numeric Messages in public channels rollingAverage date entity messages_in_public_channels 14 messages_in_private_channels_smooth Numeric Messages in private channels rollingAverage date entity messages_in_private_channels 14 messages_in_shared_channels_smooth Numeric Messages in shared channels rollingAverage date entity messages_in_shared_channels 14 messages_in_dms_smooth Numeric Messages in DMs rollingAverage date entity messages_in_dms 14 percentage_of_messages_public_channels Numeric Percentage of messages, public channels … | False |
85 | 85 | test-checkbox | {"blocks": [{"args": [], "type": "graphers", "block": [{"title": "A", "Metric Radio": "Cases", "Interval Radio": "Cumulative", "Aligned2 Checkbox": "true"}, {"title": "A2", "Metric Radio": "Cases", "Interval Radio": "Cumulative", "Aligned2 Checkbox": "false"}, {"title": "A3", "Metric Radio": "Cases", "Interval Radio": "Weekly", "Aligned2 Checkbox": "false"}, {"title": "B", "Metric Radio": "Tests", "Interval Radio": "Cumulative", "Aligned2 Checkbox": "true"}, {"title": "B", "Metric Radio": "Tests", "Interval Radio": "Cumulative", "Aligned2 Checkbox": "false"}]}], "_version": 1, "subtitle": "Test logic", "isPublished": "false", "explorerTitle": "Test Decisions"} |
2023-06-01 19:11:27 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | graphers title Metric Radio Interval Radio Aligned2 Checkbox A Cases Cumulative true A2 Cases Cumulative false A3 Cases Weekly false B Tests Cumulative true B Tests Cumulative false explorerTitle Test Decisions subtitle Test logic | False |
86 | 86 | test-for-survey-comparability | {"blocks": [{"args": [], "type": "graphers", "block": [{"note": "This data is expressed in international-$ at 2011 prices.", "title": "Share of population living in extreme poverty", "ySlugs": "headcount_ratio_190", "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in the cost of living between countries.", "yAxisMin": "0", "tableSlug": "inc_or_cons", "sourceDesc": "World Bank Poverty and Inequality Platform", "Metric Dropdown": "Share in poverty", "Poverty line Dropdown": "$1.90 a day", "Household survey data type Dropdown": "Show data from both income and expenditure surveys", "Show breaks between less comparable surveys Checkbox": "false"}, {"note": "This data is expressed in international-$ at 2011 prices.", "title": "Share of population living in extreme poverty", "ySlugs": "consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7", "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in the cost of living between countries.", "yAxisMin": "0", "tableSlug": "headcount_ratio_190", "sourceDesc": "World Bank Poverty and Inequality Platform", "Metric Dropdown": "Share in poverty", "Poverty line Dropdown": "$1.90 a day", "selectedFacetStrategy": "entity", "Household survey data type Dropdown": "Show data from both income and expenditure surveys", "Show breaks between less comparable surveys Checkbox": "true"}]}, {"args": ["https://raw.githubusercontent.com/owid/notebooks/main/BetterDataDocs/JoeHasell/PIP/old/comparability_data/headcount_ratio_190.csv", "headcount_ratio_190"], "type": "table", "block": null}, {"args": ["headcount_ratio_190"], "type": "columns", "block": [{"name": "Comparable spell (expenditure)", "slug": "consumption_s… |
2023-06-01 19:11:28 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Test – breaks in PIP data selection Madagascar graphers title Metric Dropdown Poverty line Dropdown Household survey data type Dropdown Show breaks between less comparable surveys Checkbox tableSlug ySlugs subtitle note sourceDesc relatedQuestionUrl type yAxisMin selectedFacetStrategy hasMapTab selectedFacetStrategy Share of population living in extreme poverty Share in poverty $1.90 a day Show data from both income and expenditure surveys false inc_or_cons headcount_ratio_190 Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2011 prices. World Bank Poverty and Inequality Platform 0 Share of population living in extreme poverty Share in poverty $1.90 a day Show data from both income and expenditure surveys true headcount_ratio_190 consumption_spell_1 consumption_spell_2 consumption_spell_3 consumption_spell_4 consumption_spell_5 consumption_spell_6 income_spell_1 income_spell_2 income_spell_3 income_spell_4 income_spell_5 income_spell_6 income_spell_7 Extreme poverty is defined as living below the International Poverty Line of $1.90 per day. This data is adjusted for inflation and for differences in the cost of living between countries. This data is expressed in international-$ at 2011 prices. World Bank Poverty and Inequality Platform 0 entity table https://raw.githubusercontent.com/owid/notebooks/main/BetterDataDocs/JoeHasell/PIP/old/comparability_data/headcount_ratio_190.csv headcount_ratio_190 columns headcount_ratio_190 name slug sourceName sourceLink dataPublishedBy unit shortUnit retrievedDate type Comparable spell (expenditure) consumption_spell_1 World Bank Poverty and Inequality Platform https://pip.worldbank.org/ World Bank Poverty and Inequality Platform (PIP) % % Numeric Comparable spell (expenditure) consumption_spell_2 World Bank Poverty and Inequality Platform https://pip.worldbank.org… | False |
87 | 87 | tunnels | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "DiscreteBar", "title": "In ground tunnels", "ySlugs": "inGroundTunnels", "subtitle": "These are getting chearper everyday", "Tunnel Type Radio": "In Ground"}, {"type": "DiscreteBar", "title": "Underwater tunnels", "ySlugs": "underwaterTunnels", "subtitle": "So are these", "Tunnel Type Radio": "Underwater"}, {"type": "LineChart", "title": "All types of tunnels and bridges", "ySlugs": "underwaterTunnels inGroundTunnels bridges", "defaultView": "true", "Tunnel Type Radio": "All types", "selectedFacetStrategy": "entity"}]}, {"args": [], "type": "table", "block": [{"year": "2000", "bridges": "7", "entityName": "United States", "inGroundTunnels": "3", "underwaterTunnels": "2"}, {"year": "2000", "bridges": "6", "entityName": "Canada", "inGroundTunnels": "3", "underwaterTunnels": "4"}, {"year": "2001", "bridges": "7", "entityName": "United States", "inGroundTunnels": "3", "underwaterTunnels": "2"}, {"year": "2001", "bridges": "6", "entityName": "Canada", "inGroundTunnels": "3", "underwaterTunnels": "4"}]}, {"args": [], "type": "columns", "block": [{"name": "Country", "slug": "entityName", "type": "EntityName"}, {"name": "Year", "slug": "year", "type": "Year"}, {"name": "Underwater Tunnels", "slug": "underwaterTunnels", "type": "Integer", "color": "#ccc"}, {"name": "In ground Tunnels", "slug": "inGroundTunnels", "type": "Integer", "color": "#ccc"}, {"name": "Bridges", "slug": "bridges", "type": "Integer"}]}], "_version": 1, "selection": ["Canada", "United States"], "entityType": "State", "googleSheet": "https://googe.com/fsad", "isPublished": "false", "explorerTitle": "Tunnels on Earth", "explorerSubtitle": "How much work does Boring Company have to do"} |
2023-06-01 19:11:27 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Tunnels on Earth isPublished false # comment googleSheet https://googe.com/fsad explorerSubtitle How much work does Boring Company have to do entityType State selection Canada United States graphers Tunnel Type Radio type ySlugs title subtitle selectedFacetStrategy defaultView In Ground DiscreteBar inGroundTunnels In ground tunnels These are getting chearper everyday Underwater DiscreteBar underwaterTunnels Underwater tunnels So are these All types LineChart underwaterTunnels inGroundTunnels bridges All types of tunnels and bridges entity true table entityName year underwaterTunnels inGroundTunnels bridges United States 2000 2 3 7 Canada 2000 4 3 6 United States 2001 2 3 7 Canada 2001 4 3 6 columns slug name type color entityName Country EntityName year Year Year underwaterTunnels Underwater Tunnels Integer #ccc inGroundTunnels In ground Tunnels Integer #ccc bridges Bridges Integer | False |
88 | 88 | ukraine-russia-food | {"tab": "map", "blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Wheat imports", "ySlugs": "wheat_imports", "tableSlug": "food_trade", "Crop Radio": "Wheat", "yScaleToggle": "false", "Metric Dropdown": "Imports", "baseColorScheme": "owid-distinct", "Adjustment Radio": "Total", "Imports from... Radio": "All countries"}, {"type": "LineChart", "title": "Wheat imports from Ukraine", "ySlugs": "ukraine_wheat_imports", "tableSlug": "food_trade", "Crop Radio": "Wheat", "yScaleToggle": "false", "Metric Dropdown": "Imports", "baseColorScheme": "owid-distinct", "Adjustment Radio": "Total", "Imports from... Radio": "Ukraine"}, {"type": "LineChart", "title": "Wheat imports from Russia", "ySlugs": "russia_wheat_imports", "tableSlug": "food_trade", "Crop Radio": "Wheat", "yScaleToggle": "false", "Metric Dropdown": "Imports", "baseColorScheme": "owid-distinct", "Adjustment Radio": "Total", "Imports from... Radio": "Russia"}, {"type": "LineChart", "title": "Wheat imports from Ukraine and Russia", "ySlugs": "ukraine_russia_wheat_imports", "tableSlug": "food_trade", "Crop Radio": "Wheat", "yScaleToggle": "false", "Metric Dropdown": "Imports", "baseColorScheme": "owid-distinct", "Adjustment Radio": "Total", "Imports from... Radio": "Ukraine + Russia"}, {"type": "LineChart", "title": "Wheat imports per capita", "ySlugs": "wheat_imports_capita", "tableSlug": "food_trade", "Crop Radio": "Wheat", "yScaleToggle": "false", "Metric Dropdown": "Imports", "baseColorScheme": "owid-distinct", "Adjustment Radio": "Per capita", "Imports from... Radio": "All countries"}, {"type": "LineChart", "title": "Wheat imports from Ukraine per capita", "ySlugs": "ukraine_wheat_imports_per_capita", "tableSlug": "food_trade", "Crop Radio": "Wheat", "yScaleToggle": "false", "Metric Dropdown": "Imports", "baseColorScheme": "owid-distinct", "Adjustment Radio": "Per capita", "Imports from... Radio": "Ukraine"}, {"type": "LineChart", "title": "Wheat imports from Russia per capita", "ySlugs": "russia_wheat_imports_per_capita", "… |
2023-06-01 19:11:27 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Global food supplies from Ukraine and Russia explorerSubtitle Explore the role of Ukraine and Russia in food trade across the world. isPublished true selection Egypt Indonesia Morocco Tunisia hideAlertBanner true subNavId subNavCurrentId thumbnail https://owid.cloud/wp/wp-admin/upload.php?item=50297 hasMapTab true yAxisMin 0 hideAnnotationFieldsInTitle true tab map graphers title subtitle Crop Radio Metric Dropdown Adjustment Radio Imports from... Radio tableSlug ySlugs yScaleToggle xSlug baseColorScheme type note defaultView Wheat imports Wheat Imports Total All countries food_trade wheat_imports false owid-distinct LineChart Wheat imports from Ukraine Wheat Imports Total Ukraine food_trade ukraine_wheat_imports false owid-distinct LineChart Wheat imports from Russia Wheat Imports Total Russia food_trade russia_wheat_imports false owid-distinct LineChart Wheat imports from Ukraine and Russia Wheat Imports Total Ukraine + Russia food_trade ukraine_russia_wheat_imports false owid-distinct LineChart Wheat imports per capita Wheat Imports Per capita All countries food_trade wheat_imports_capita false owid-distinct LineChart Wheat imports from Ukraine per capita Wheat Imports Per capita Ukraine food_trade ukraine_wheat_imports_per_capita false owid-distinct LineChart Wheat imports from Russia per capita Wheat Imports Per capita Russia food_trade russia_wheat_imports_per_capita false owid-distinct LineChart Wheat imports from Ukraine and Russia per capita Wheat Imports Per capita Ukraine + Russia food_trade ukraine_russia_wheat_imports_per_capita false owid-distinct LineChart Wheat imports from Ukraine as a share of total wheat imports Wheat Imports Share of imports Ukraine food_trade ukraine_wheat_share_all_imports false owid-distinct LineChart Wheat imports from Russia as a share of total wheat imports Wheat Imports Share of imports Russia food_trade russia_wheat_share_all_imports false owid-distinct LineChart Wheat imports from Ukraine and Russia as a share of total whe… | True |
89 | 89 | us-covid-data-explorer | {"blocks": [{"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "US: Share of people who completed the initial COVID-19 vaccination protocol", "ySlugs": "people_fully_vaccinated_per_hundred", "subtitle": "Share of the total population who received all doses prescribed by the initial vaccination protocol.", "tableSlug": "us-covid", "yScaleToggle": "true", "Metric Dropdown": "People fully vaccinated", "Interval Dropdown": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "true"}, {"type": "LineChart", "title": "US: Number of people who received at least one dose of COVID-19 vaccine", "ySlugs": "people_vaccinated", "subtitle": "Total number of people who received at least one vaccine dose. This may not equal the number of people that are fully vaccinated if the vaccine requires two doses.", "tableSlug": "us-covid", "yScaleToggle": "true", "Metric Dropdown": "People vaccinated", "Interval Dropdown": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false"}, {"type": "LineChart", "title": "US: Number of people who completed the initial COVID-19 vaccination protocol", "ySlugs": "people_fully_vaccinated", "subtitle": "Total number of people who received all doses prescribed by the initial vaccination protocol.", "tableSlug": "us-covid", "yScaleToggle": "true", "Metric Dropdown": "People fully vaccinated", "Interval Dropdown": "Cumulative", "hideAnnotationFieldsInTitle": "true", "Relative to Population Checkbox": "false"}, {"type": "StackedDiscreteBar", "title": "US: Number of people vaccinated against COVID-19", "ySlugs": "people_fully_vaccinated people_partly_vaccinated", "tableSlug": "us-covid", "yScaleToggle": "false", "Metric Dropdown": "People vaccinated (by dose)", "Interval Dropdown": "Cumulative", "hideAnnotationFieldsInTitle": "false", "Relative to Population Checkbox": "false"}, {"type": "LineChart", "title": "US: Share of people who received at least one dose of COVID-19 vaccine", "ySlugs": "people_vaccinated_pe… |
2023-06-01 19:11:27 | 2025-04-04 04:21:35 | 49 | 2024-11-21 14:22:02 | Setting publish status of us-covid-data-explorer.explorer.tsv to false | explorerTitle US COVID-19 Vaccination explorerSubtitle Explore data on COVID-19 vaccination in the US. downloadDataLink https://github.com/owid/covid-19-data/tree/master/public/data/vaccinations#united-states-vaccination-data isPublished false selection United States California Texas Florida New York State Pennsylvania Illinois Ohio Georgia North Carolina entityType state hideAlertBanner true hasMapTab false yAxisMin 0 thumbnail https://ourworldindata.org/app/uploads/2021/01/vaccinations-usa-768x402.png pickerColumnSlugs location population total_vaccinations_per_hundred people_vaccinated_per_hundred people_fully_vaccinated_per_hundred graphers title subtitle Metric Dropdown Interval Dropdown Relative to Population Checkbox ySlugs yScaleToggle xSlug colorSlug type tableSlug hideAnnotationFieldsInTitle hasMapTab sortBy sortColumnSlug tableSlug US: Share of people who completed the initial COVID-19 vaccination protocol Share of the total population who received all doses prescribed by the initial vaccination protocol. People fully vaccinated Cumulative true people_fully_vaccinated_per_hundred true LineChart true us-covid US: Number of people who received at least one dose of COVID-19 vaccine Total number of people who received at least one vaccine dose. This may not equal the number of people that are fully vaccinated if the vaccine requires two doses. People vaccinated Cumulative false people_vaccinated true LineChart true us-covid US: Number of people who completed the initial COVID-19 vaccination protocol Total number of people who received all doses prescribed by the initial vaccination protocol. People fully vaccinated Cumulative false people_fully_vaccinated true LineChart true us-covid US: Number of people vaccinated against COVID-19 People vaccinated (by dose) Cumulative false people_fully_vaccinated people_partly_vaccinated false StackedDiscreteBar false us-covid US: Share of people who received at least one dose of COVID-19 vaccine Share of the total population that received… | False |
90 | 90 | usa-explorer-shahid | {"blocks": [{"args": ["https://raw.githubusercontent.com/shaahmad/usa-covid-data/master/all-states-edited.csv"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"type": "LineChart", "title": "Cumulative confirmed COVID-19 cases per million people", "ySlugs": "positive", "subtitle": "lorem ipsum", "hasMapTab": "false", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Interval Dropdown": "Cumulative", "Align outbreaks Checkbox": "false", "Relative to Population Checkbox": "true"}, {"type": "ScatterPlot", "title": "Cumulative confirmed COVID-19 cases per million people", "xSlug": " ", "ySlugs": "positive", "subtitle": "lorem ipsum", "hasMapTab": "false", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Interval Dropdown": "Cumulative", "Align outbreaks Checkbox": "true", "Relative to Population Checkbox": "true"}, {"type": "ScatterPlot", "title": "Cumulative confirmed COVID-19 cases", "ySlugs": "positive", "subtitle": "lorem ipsum", "hasMapTab": "false", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Interval Dropdown": "Cumulative", "Align outbreaks Checkbox": "true", "Relative to Population Checkbox": "false"}, {"type": "LineChart", "title": "Cumulative confirmed COVID-19 cases", "ySlugs": "positive", "subtitle": "lorem ipsum", "hasMapTab": "false", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Interval Dropdown": "Cumulative", "Align outbreaks Checkbox": "false", "Relative to Population Checkbox": "false"}, {"type": "ScatterPlot", "title": "Daily new confirmed COVID-19 cases per million people", "ySlugs": "cases_rolling_average_weekly", "subtitle": "lorem ipsum", "hasMapTab": "false", "Metric Radio": "Confirmed cases", "yScaleToggle": "true", "Interval Dropdown": "7-day rolling average", "Align outbreaks Checkbox": "true", "Relative to Population Checkbox": "true"}, {"type": "LineChart", "title": "Daily new confirmed COVID-19 cases per million people", "ySlugs": "cases_rolling_average_weekly", "subtitle": "lorem ipsum", "hasMapTab": "fa… |
2023-06-01 19:11:32 | 2025-04-04 04:21:35 | 55 | 2024-03-08 15:19:16 | :bug: Replace owid.cloud thumbnail links with prod asset links | explorerTitle Covid Data Explorer: United States isPublished false googleSheet https://docs.google.com/spreadsheets/d/1HjHjB_njLizZKzwZlk5zX429IcMhy6WZRTlYwnsrJAM/edit#gid=0 selection Michigan~California~New York explorerSubtitle Download the complete _Our World in Data_ [COVID-19 dataset.](https://github.com/owid/covid-19-data/tree/master/public/data) hideAlertBanner true subNavId coronavirus subNavCurrentId data-explorer entityType state table https://raw.githubusercontent.com/shaahmad/usa-covid-data/master/all-states-edited.csv graphers title subtitle Metric Radio Interval Dropdown Relative to Population Checkbox Align outbreaks Checkbox ySlugs yScaleToggle xSlug type hasMapTab Cumulative confirmed COVID-19 cases per million people lorem ipsum Confirmed cases Cumulative true false positive true LineChart false Cumulative confirmed COVID-19 cases per million people lorem ipsum Confirmed cases Cumulative true true positive true ScatterPlot false Cumulative confirmed COVID-19 cases lorem ipsum Confirmed cases Cumulative false true positive true ScatterPlot false Cumulative confirmed COVID-19 cases lorem ipsum Confirmed cases Cumulative false false positive true LineChart false Daily new confirmed COVID-19 cases per million people lorem ipsum Confirmed cases 7-day rolling average true true cases_rolling_average_weekly true ScatterPlot false Daily new confirmed COVID-19 cases per million people lorem ipsum Confirmed cases 7-day rolling average true false cases_rolling_average_weekly true LineChart false Daily new confirmed COVID-19 cases lorem ipsum Confirmed cases 7-day rolling average false true cases_rolling_average_weekly true ScatterPlot false Daily new confirmed COVID-19 cases lorem ipsum Confirmed cases 7-day rolling average false false cases_rolling_average_weekly true LineChart false Daily new confirmed COVID-19 cases per million people lorem ipsum Confirmed cases New per day true true positiveIncrease true ScatterPlot false Daily new confirmed COVID-19 cases per million people lorem i… | False |
91 | 91 | water-and-sanitation | {"blocks": [{"args": ["https://catalog.ourworldindata.org/explorers/wash/2024-01-06/who/who.csv", "water"], "type": "table", "block": null}, {"args": [], "type": "graphers", "block": [{"tab": "map", "type": "LineChart", "title": "Share of the population using safely managed drinking water sources", "ySlugs": "wat_sm", "subtitle": "Safely managed drinking water is water from an improved water source which is located on premises, available when needed and free from contamination.", "hasMapTab": "true", "tableSlug": "water", "yScaleToggle": "false", "Resource Radio": "Drinking water", "Residence Radio": "Total", "Level of Use/Access Dropdown": "Safely managed", "Relative to population Radio": "Share of population"}, {"tab": "map", "type": "LineChart", "title": "Share of the population using basic drinking water services", "ySlugs": "wat_baso", "subtitle": "Basic drinking water is water from an improved source, where the collection time is not more than 30 minutes for a roundtrip.", "hasMapTab": "true", "tableSlug": "water", "yScaleToggle": "false", "Resource Radio": "Drinking water", "Residence Radio": "Total", "Level of Use/Access Dropdown": "Basic", "Relative to population Radio": "Share of population"}, {"tab": "map", "type": "LineChart", "title": "Share of the population using limited drinking water services", "ySlugs": "wat_lim", "subtitle": "Limited drinking water is water from an improved source, where the collection time exceeds 30 minutes for a roundtrip.", "hasMapTab": "true", "tableSlug": "water", "yScaleToggle": "false", "Resource Radio": "Drinking water", "Residence Radio": "Total", "Level of Use/Access Dropdown": "Limited", "Relative to population Radio": "Share of population"}, {"tab": "map", "type": "LineChart", "title": "Share of the population using unimproved drinking water sources", "ySlugs": "wat_unimp", "subtitle": "An unimproved drinking water source is water from an unprotected dug well or unprotected spring.", "hasMapTab": "true", "tableSlug": "water", "yScaleToggle": "false", "Resource Radi… |
2023-06-01 19:11:31 | 2025-04-04 04:21:35 | 49 | 2025-03-04 07:32:47 | remove `indexViewsSeparately` | explorerTitle Water, Sanitation and Hygiene (WASH) explorerSubtitle Explore global data on water, sanitation and hygiene access. isPublished true googleSheet selection India United States Kenya World Bangladesh South Africa China hideAlertBanner true subNavId water subNavCurrentId wash-data-explorer hasMapTab true yAxisMin 0 wpBlockId 43865 table https://catalog.ourworldindata.org/explorers/wash/2024-01-06/who/who.csv water downloadDataLink hideAnnotationFieldsInTitle true pickerColumnSlugs graphers title subtitle Resource Radio Level of Use/Access Dropdown Residence Radio Relative to population Radio tableSlug ySlugs yScaleToggle xSlug colorSlug type hasMapTab grapherId sourceDesc note hideAnnotationFieldsInTitle tab Share of the population using safely managed drinking water sources Safely managed drinking water is water from an improved water source which is located on premises, available when needed and free from contamination. Drinking water Safely managed Total Share of population water wat_sm false LineChart true map Share of the population using basic drinking water services Basic drinking water is water from an improved source, where the collection time is not more than 30 minutes for a roundtrip. Drinking water Basic Total Share of population water wat_baso false LineChart true map Share of the population using limited drinking water services Limited drinking water is water from an improved source, where the collection time exceeds 30 minutes for a roundtrip. Drinking water Limited Total Share of population water wat_lim false LineChart true map Share of the population using unimproved drinking water sources An unimproved drinking water source is water from an unprotected dug well or unprotected spring. Drinking water Unimproved Total Share of population water wat_unimp false LineChart true map Share of the population not using a drinking water facility Not using a drinking water facility means people rely on surface water: directly from a river, dam, lake, pond, stream, c… | True |
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CREATE TABLE explorers(slug VARCHAR, config VARCHAR, createdAt TIMESTAMP, updatedAt TIMESTAMP, lastEditedByUserId INTEGER, lastEditedAt TIMESTAMP, commitMessage VARCHAR, tsv VARCHAR, isPublished BOOLEAN);;