charts
Data license: CC-BY
5,265 rows sorted by id descending
This data as json, CSV (advanced)
Suggested facets: isInheritanceEnabled, lastEditedByUserId, publishedByUserId, isIndexable, type, isPublished
Link | rowid | id ▲ | configId | isInheritanceEnabled | createdAt | updatedAt | lastEditedAt | publishedAt | lastEditedByUserId | publishedByUserId | isIndexable | config | slug | type | title | subtitle | note | title_plus_variant | isPublished |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5264 | 5264 | 8590 | 01961fc0-3c60-7458-ad04-6adc78bab3d2 | True | 2025-04-10 12:50:14 | 2025-04-10 12:50:14 | 80 | False | {"id": 8590, "title": "China pulls ahead of the EU and US in the move to electric cars", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2015, "version": 3, "subtitle": "The share of new cars sold that are electric.", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 820022}], "isPublished": false, "selectedEntityNames": ["European Union (27)", "United States", "China"], "selectedFacetStrategy": "metric"} |
LineChart | China pulls ahead of the EU and US in the move to electric cars | The share of new cars sold that are electric. | False | ||||||
5263 | 5263 | 8589 | 01961fc0-279f-7d59-8cda-088d53430fb0 | True | 2025-04-10 12:50:08 | 2025-04-10 12:50:13 | 2025-04-10 12:50:13 | 80 | False | {"id": 8589, "slug": "china-pulls-ahead-of-the-eu-and-us-in-the-move-to-electric-cars", "title": "China pulls ahead of the EU and US in the move to electric cars", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2015, "version": 2, "subtitle": "The share of new cars sold that are electric.", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 820022}], "isPublished": false, "selectedEntityNames": ["European Union (27)", "United States", "China"], "selectedFacetStrategy": "metric"} |
china-pulls-ahead-of-the-eu-and-us-in-the-move-to-electric-cars | LineChart | China pulls ahead of the EU and US in the move to electric cars | The share of new cars sold that are electric. | False | ||||
5262 | 5262 | 8588 | 01961f2e-4a22-741b-9f74-f5345727b8ae | True | 2025-04-10 10:10:49 | 2025-04-10 10:10:50 | 2025-04-10 10:10:50 | 79 | 79 | True | {"id": 8588, "map": {"colorScale": {}, "columnSlug": "1025669"}, "slug": "self-reported-life-satisfaction-young-vs-old-people", "title": "Self-reported life satisfaction: young vs. old people", "xAxis": {"max": 8.5, "min": 1}, "yAxis": {"max": 8.5, "min": 1}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 12, "subtitle": "The survey question asks respondents to rate their current life on a hypothetical [ladder](#dod:cantril-ladder) from 0 to 10 (where 10 = best possible life). The vertical axis is the average response of people up to 29 years old, the horizontal axis the average response of people aged 60 and older.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Young people's life satisfaction (up to 29 years)", "unit": "", "includeInTable": true}, "property": "y", "variableId": 1025670}, {"display": {"name": "Old people's life satisfaction (60+ years)", "unit": "", "includeInTable": true}, "property": "x", "variableId": 1025669}, {"property": "color", "variableId": 900801}], "isPublished": true, "comparisonLines": [{"label": "equal life satisfaction", "yEquals": "x"}]} |
self-reported-life-satisfaction-young-vs-old-people | ScatterPlot | Self-reported life satisfaction: young vs. old people | The survey question asks respondents to rate their current life on a hypothetical [ladder](#dod:cantril-ladder) from 0 to 10 (where 10 = best possible life). The vertical axis is the average response of people up to 29 years old, the horizontal axis the average response of people aged 60 and older. | True | |||
5261 | 5261 | 8587 | 01961f2e-46f7-7f5b-9307-09ed6032ed8f | True | 2025-04-10 10:10:48 | 2025-04-10 10:10:49 | 2025-04-10 10:10:49 | 79 | 79 | True | {"id": 8587, "map": {"colorScale": {}, "columnSlug": "1025669"}, "slug": "cantril-ladder-age-groups", "title": "Self-reported life satisfaction by age", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 16, "subtitle": "Average of survey responses for life satisfaction within age groups. The survey question asks respondents their current possition on a hypothetical [ladder](#dod:cantril-ladder), where the best possible life for them is a 10, and the worst possible life is a 0.", "dimensions": [{"display": {"name": "Up to 29 years", "includeInTable": true}, "property": "y", "variableId": 1025670}, {"display": {"name": "30-44 years", "includeInTable": true}, "property": "y", "variableId": 1025666}, {"display": {"name": "45-59 years", "includeInTable": true}, "property": "y", "variableId": 1025668}, {"display": {"name": "60+ years", "includeInTable": true, "numDecimalPlaces": 2}, "property": "y", "variableId": 1025669}], "isPublished": true, "selectedEntityNames": ["Lithuania", "Israel", "Serbia", "Iceland", "Denmark", "Luxembourg", "Finland", "Romania"], "selectedFacetStrategy": "metric"} |
cantril-ladder-age-groups | LineChart | Self-reported life satisfaction by age | Average of survey responses for life satisfaction within age groups. The survey question asks respondents their current possition on a hypothetical [ladder](#dod:cantril-ladder), where the best possible life for them is a 10, and the worst possible life is a 0. | True | |||
5260 | 5260 | 8585 | 01961b00-41ff-7711-b71e-084e8b9edba0 | True | 2025-04-09 14:42:03 | 2025-04-09 14:42:13 | 2025-04-09 14:42:13 | 2025-04-09 14:42:13 | 2 | 2 | False | {"id": 8585, "map": {"colorScale": {"baseColorScheme": "PuOr", "binningStrategy": "manual", "colorSchemeInvert": true, "customNumericColors": [null, null, null, null, "#eda243"], "customNumericValues": [-10, -5, 0, 5, 10, 10], "customNumericColorsActive": true}}, "tab": "map", "slug": "external-balance-on-goods-and-services-as-a-percent-of-gdp", "title": "External balance on goods and services as a percent of GDP", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "hasMapTab": true, "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"property": "y", "variableId": 1008276}], "isPublished": true, "selectedEntityNames": ["China", "United States"]} |
external-balance-on-goods-and-services-as-a-percent-of-gdp | LineChart | External balance on goods and services as a percent of GDP | True | |||
5259 | 5259 | 8584 | 01961ab6-26ae-7d41-aade-6475c8a12cde | True | 2025-04-09 13:21:07 | 2025-04-09 13:21:07 | 2025-04-09 13:21:08 | 58 | 58 | True | {"id": 8584, "map": {"colorScale": {"baseColorScheme": "YlOrBr", "binningStrategy": "manual", "customNumericValues": [10000000000, 20000000000, 50000000000, 100000000000, 200000000000, 1]}, "columnSlug": "1025631"}, "slug": "hypothetical-land-animals-slaughtered", "title": "Land animals slaughtered if all countries produced meat like..", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 12, "subtitle": "Hypothetical number of land animals that would be slaughtered globally if all countries had the same per-capita number of slaughtered animals as a given country. The curve for \"World\" gives the actual global number of land animals slaughtered.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/animal-welfare", "dimensions": [{"display": {"unit": "animals", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1025631}], "isPublished": true, "selectedEntityNames": ["Belarus", "Israel", "United States", "World", "United Kingdom", "Uganda"]} |
hypothetical-land-animals-slaughtered | LineChart | Land animals slaughtered if all countries produced meat like.. | Hypothetical number of land animals that would be slaughtered globally if all countries had the same per-capita number of slaughtered animals as a given country. The curve for "World" gives the actual global number of land animals slaughtered. | True | |||
5258 | 5258 | 8583 | 01961563-0b8c-7491-9bc8-71156b99efcf | False | 2025-04-08 12:32:14 | 2025-04-08 13:30:57 | 2025-04-08 13:30:57 | 51 | True | {"id": 8583, "slug": "key-democratic-electoral-institutions", "title": "Key democratic electoral institutions", "yAxis": {"max": 1, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1924, "version": 43, "subtitle": "Based on the expert estimates and indices by [V-Dem](#dod:v-dem).", "originUrl": "ourworldindata.org/democracy", "dimensions": [{"display": {"name": "Elected officials index", "includeInTable": true}, "property": "y", "variableId": 1015613}, {"display": {"name": "Share of adult citizens who have the right to vote", "unit": "", "includeInTable": true, "conversionFactor": 0.01}, "property": "y", "variableId": 1015611}, {"property": "y", "variableId": 1015820}, {"display": {"name": "Freedom of association index", "includeInTable": true}, "property": "y", "variableId": 1015844}, {"display": {"name": "Freedom of expression index", "includeInTable": true}, "property": "y", "variableId": 1015847}], "isPublished": false, "variantName": "V-Dem", "addCountryMode": "change-country", "relatedQuestions": [{"url": "https://ourworldindata.org/vdem-electoral-democracy-data", "text": "The 'Varieties of Democracy' data: how do researchers measure democracy?"}], "selectedEntityNames": ["United States"], "selectedFacetStrategy": "metric", "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}} |
key-democratic-electoral-institutions | LineChart | Key democratic electoral institutions | Based on the expert estimates and indices by [V-Dem](#dod:v-dem). | Key democratic electoral institutions (V-Dem) | False | |||
5257 | 5257 | 8582 | 01961461-db68-77ef-98cc-c7bd449f4c7e | True | 2025-04-08 07:51:19 | 2025-04-08 07:51:20 | 54 | False | {"id": 8582, "map": {"colorScale": {}, "columnSlug": "995327"}, "slug": "share-of-government-spending-in-health-direct-social-transfers-and-education-which-benefit-the-monetary-poor", "title": "Share of government spending in health, direct social transfers and education which benefit the monetary poor", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 1, "subtitle": "Proportion of government spending in health, direct social transfers and education which benefit the monetary poor.", "originUrl": "https://ourworldindata.org/sdgs/no-poverty", "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"unit": "%", "shortUnit": "%", "tolerance": 10, "includeInTable": true}, "property": "y", "variableId": 995327}], "isPublished": false, "selectedEntityNames": ["Malawi", "Egypt", "Uruguay", "Kenya", "Botswana", "United Kingdom", "Tanzania", "Namibia", "Cambodia", "Guyana", "Eswatini"]} |
share-of-government-spending-in-health-direct-social-transfers-and-education-which-benefit-the-monetary-poor | DiscreteBar | Share of government spending in health, direct social transfers and education which benefit the monetary poor | Proportion of government spending in health, direct social transfers and education which benefit the monetary poor. | False | |||||
5256 | 5256 | 8581 | 019610d8-c4c6-7aea-b5ae-d0e69478359e | True | 2025-04-07 15:22:43 | 2025-04-08 08:18:02 | 2025-04-08 08:18:02 | 62 | False | {"id": 8581, "map": {"colorScale": {}, "columnSlug": "1025376"}, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "mean", "title": "Mean income or consumption per day", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 7, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/economic-inequality", "stackMode": "relative", "chartTypes": ["Marimekko"], "dimensions": [{"display": {"name": "Mean per day", "unit": "international-$ in 2017 prices", "shortUnit": "$", "includeInTable": true}, "property": "y", "variableId": 1025376}, {"property": "x", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": false, "hideRelativeToggle": false, "matchingEntitiesOnly": true} |
mean | Marimekko | Mean income or consumption per day | This data is adjusted for inflation and for differences in living costs between countries. | This data is expressed in [international-$](#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). | False | |||
5255 | 5255 | 8580 | 01960f85-081c-7eb7-9680-a47089675e28 | True | 2025-04-07 09:11:38 | 2025-04-10 11:04:44 | 2025-04-10 11:04:44 | 54 | False | {"id": 8580, "map": {"colorScale": {}, "columnSlug": "1013902"}, "slug": "reported-measles-case-rate-in-the-united-states", "title": "Reported measles case rate in the United States", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 7, "subtitle": "Reported measles cases per 100,000 population in each state.", "originUrl": "https://ourworldindata.org/vaccination", "dimensions": [{"display": {"unit": "cases per 100,000 population", "includeInTable": true}, "property": "y", "variableId": 1013902}], "entityType": "state", "isPublished": false, "variantName": "State-level data", "internalNotes": "", "entityTypePlural": "states", "hideFacetControl": false, "selectedEntityNames": ["Alabama", "Louisiana", "New York", "Texas"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true}} |
reported-measles-case-rate-in-the-united-states | LineChart | Reported measles case rate in the United States | Reported measles cases per 100,000 population in each state. | Reported measles case rate in the United States (State-level data) | False | |||
5254 | 5254 | 8579 | 0195f6ff-956f-76fa-a490-8f3054837e5d | False | 2025-04-02 14:54:59 | 2025-04-02 14:56:08 | 2025-04-02 14:56:08 | 79 | False | {"id": 8579, "map": {"colorScale": {}, "columnSlug": "1025227"}, "slug": "self-reported-life-satisfaction-vs-self-reported-life-satisfaction", "title": "Self-reported life satisfaction vs. Self-reported life satisfaction", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 4, "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"includeInTable": true, "numDecimalPlaces": 2}, "property": "y", "variableId": 1025227}, {"property": "x", "targetYear": 2011, "variableId": 1025227}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": false, "hideTimeline": true, "timelineMaxTime": 2024, "timelineMinTime": 2024, "hideConnectedScatterLines": true} |
self-reported-life-satisfaction-vs-self-reported-life-satisfaction | ScatterPlot | Self-reported life satisfaction vs. Self-reported life satisfaction | False | |||||
5253 | 5253 | 8578 | 0195f15e-145a-7358-9e8f-581c77a30f64 | False | 2025-04-01 12:40:29 | 2025-04-03 08:41:45 | 2025-04-03 08:41:45 | 2025-04-02 07:50:59 | 54 | 54 | True | {"id": 8578, "note": "Includes countries where vaccines are administered to either the entire country, regions of the country, adolescents, or specific risk groups.", "slug": "number-of-countries-administering-each-major-vaccine", "title": "Number of countries including each vaccine in national vaccination programs", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 12, "originUrl": "https://ourworldindata.org/vaccination", "dimensions": [{"property": "y", "variableId": 1025092}, {"property": "y", "variableId": 1025108}, {"property": "y", "variableId": 1025107}, {"property": "y", "variableId": 1025101}, {"property": "y", "variableId": 1025100}, {"property": "y", "variableId": 1025096}, {"property": "y", "variableId": 1025094}, {"property": "y", "variableId": 1025104}, {"property": "y", "variableId": 1025109}, {"property": "y", "variableId": 1025093}, {"property": "y", "variableId": 1025095}, {"property": "y", "variableId": 1025097}, {"property": "y", "variableId": 1025098}, {"property": "y", "variableId": 1025102}, {"property": "y", "variableId": 1025111}], "isPublished": true, "addCountryMode": "change-country", "hideFacetControl": false, "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
number-of-countries-administering-each-major-vaccine | LineChart | Number of countries including each vaccine in national vaccination programs | Includes countries where vaccines are administered to either the entire country, regions of the country, adolescents, or specific risk groups. | True | ||
5252 | 5252 | 8577 | 0195f0b6-ad8d-7346-a2ab-f3bd8f16c100 | True | 2025-04-01 09:37:38 | 2025-04-01 19:37:34 | 2025-04-01 19:37:34 | 2025-04-01 19:37:35 | 72 | 72 | True | {"id": 8577, "map": {"colorScale": {"baseColorScheme": "OwidCategoricalA", "colorSchemeInvert": true, "customCategoryColors": {"Malaria": "#dfdef5", "Measles": "#0f814b", "HIV/AIDS": "#7fe0e1", "Preterm birth": "#bb5a8d", "Natural disasters": "#017a96", "Diarrheal diseases": "#d4a332", "Asphyxia and trauma": "#da91ed", "Congenital birth defects": "#edf5c9", "Nutritional deficiencies": "#c34f14", "Other neonatal disorders": "#aea3a3", "Lower respiratory infections": "#8c564b", "Fire, heat, and hot substances": "#212323"}, "customHiddenCategories": {"Fire, heat, and hot substances": true}, "customNumericColorsActive": true}, "columnSlug": "1024991"}, "tab": "map", "slug": "leading-cause-of-child-mortality-among-children-under-five", "title": "Leading cause of child mortality among children under five", "yAxis": {"min": 0}, "sortBy": "entityName", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 10, "hasMapTab": true, "originUrl": "https://ourworldindata.org/child-mortality", "chartTypes": [], "dimensions": [{"property": "y", "variableId": 1024991}], "isPublished": true, "selectedEntityNames": ["North Macedonia", "Montenegro", "Antigua and Barbuda", "Colombia"]} |
leading-cause-of-child-mortality-among-children-under-five | Leading cause of child mortality among children under five | True | ||||
5251 | 5251 | 8576 | 0195e600-9dc5-76e3-ac1b-2f1346aa4ec0 | True | 2025-03-30 07:42:34 | 2025-03-30 19:34:30 | 2025-03-30 19:34:30 | 80 | False | {"id": 8576, "slug": "rent-index-2010-100", "title": "Rent index (2010 = 100)", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2010, "version": 3, "dimensions": [{"property": "y", "variableId": 1024867}], "isPublished": false, "selectedEntityNames": ["Poland", "Portugal", "Netherlands", "Sweden", "Belgium", "Czechia", "Romania", "Germany", "France", "Italy", "Spain", "Greece"]} |
rent-index-2010-100 | LineChart | Rent index (2010 = 100) | False | |||||
5250 | 5250 | 8575 | 0195dd92-498c-7a8c-aa79-02346f131d8b | True | 2025-03-28 16:25:06 | 2025-03-30 19:34:18 | 2025-03-30 19:34:18 | 80 | False | {"id": 8575, "map": {"colorScale": {"baseColorScheme": "Blues", "binningStrategy": "manual", "colorSchemeInvert": false, "legendDescription": "Individuals using the Internet (% of population)", "customNumericLabels": ["", "", "", "", "", "", "", "", "", ""], "customNumericValues": [10, 20, 30, 40, 50, 60, 70, 80, 90, 100], "customNumericMinValue": 0}, "timeTolerance": 5}, "slug": "share-of-the-population-using-the-internet", "title": "Share of the population using the Internet", "yAxis": {"max": 100, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "Share of the population who [used the Internet](#dod:internetuser) in the last three months.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/internet", "dimensions": [{"property": "y", "variableId": 1008197}], "sourceDesc": "International Telecommunication Union (via World Bank)", "isPublished": false, "timelineMinTime": 1990, "selectedEntityNames": ["World", "Europe and Central Asia (WB)", "North America (WB)", "Latin America and Caribbean (WB)", "Sub-Saharan Africa (WB)", "South Asia (WB)", "East Asia and Pacific (WB)", "Middle East and North Africa (WB)"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}} |
share-of-the-population-using-the-internet | LineChart | Share of the population using the Internet | Share of the population who [used the Internet](#dod:internetuser) in the last three months. | False | ||||
5249 | 5249 | 8574 | 0195dcd6-0a8f-7cc0-b536-2fccfa307f6a | True | 2025-03-28 12:59:29 | 2025-04-04 13:58:35 | 2025-04-04 13:58:35 | 2025-04-04 13:58:35 | 50 | 50 | True | {"id": 8574, "map": {"colorScale": {}, "columnSlug": "1024869"}, "slug": "cumulative-lives-saved-by-measles-vaccination-since-1974", "title": "Cumulative lives saved by measles vaccination since 1974", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 4, "subtitle": "Estimated cumulative number of lives saved by measles vaccination since 1974.", "originUrl": "https://ourworldindata.org/vaccination", "chartTypes": ["StackedArea"], "dimensions": [{"property": "y", "variableId": 1024870}], "isPublished": true, "baseColorScheme": "OwidCategoricalC", "selectedEntityNames": ["African Region", "Eastern Mediterranean Region", "European Region", "Region of the Americas", "South-East Asia Region", "Western Pacific Region"], "hideAnnotationFieldsInTitle": {"time": true}} |
cumulative-lives-saved-by-measles-vaccination-since-1974 | StackedArea | Cumulative lives saved by measles vaccination since 1974 | Estimated cumulative number of lives saved by measles vaccination since 1974. | True | ||
5248 | 5248 | 8573 | 0195dcd4-f3c1-7b27-baec-696821e75021 | True | 2025-03-28 12:58:18 | 2025-03-28 12:58:37 | 2025-03-28 12:58:37 | 50 | True | {"id": 8573, "map": {"colorScale": {}, "columnSlug": "1024869"}, "note": "", "slug": "lives-saved-by-measles-vaccination", "title": "Lives saved by measles vaccination", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "Estimated number of lives saved by measles vaccination each year.", "originUrl": "https://ourworldindata.org/vaccination", "dimensions": [{"display": {"unit": "lives saved", "includeInTable": true}, "property": "y", "variableId": 1024869}], "isPublished": false, "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true}} |
lives-saved-by-measles-vaccination | LineChart | Lives saved by measles vaccination | Estimated number of lives saved by measles vaccination each year. | False | ||||
5247 | 5247 | 8572 | 0195dcc0-ccf9-70d8-b126-b411c091ce83 | False | 2025-03-28 12:36:17 | 2025-03-28 12:36:18 | 80 | False | {"id": 8572, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2025, "minTime": 1960, "version": 3, "dimensions": [{"property": "y", "variableId": 899548}, {"property": "y", "variableId": 899549}], "isPublished": false, "addCountryMode": "change-country", "selectedEntityNames": ["World"], "selectedFacetStrategy": "entity"} |
LineChart | False | ||||||||
5246 | 5246 | 8571 | 0195dcbc-f1f6-7a01-aefb-426eeb5eb73f | False | 2025-03-28 12:32:05 | 2025-03-28 12:32:06 | 2025-03-28 12:32:06 | 80 | False | {"id": 8571, "slug": "projections-of-educational-attainment-barro-and-lee-2015-lee-and-lee-2016", "title": "Projections of Educational attainment (Barro and Lee 2015; Lee and Lee 2016)", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1960, "version": 2, "dimensions": [{"property": "y", "variableId": 809076}, {"property": "y", "variableId": 809083}], "isPublished": false, "addCountryMode": "change-country", "selectedEntityNames": ["World"], "selectedFacetStrategy": "entity"} |
projections-of-educational-attainment-barro-and-lee-2015-lee-and-lee-2016 | LineChart | Projections of Educational attainment (Barro and Lee 2015; Lee and Lee 2016) | False | |||||
5245 | 5245 | 8570 | 0195d81f-8665-789e-adb2-31a6cecf21e0 | True | 2025-03-27 15:01:39 | 2025-03-27 15:01:42 | 2025-03-27 15:01:42 | 80 | False | {"id": 8570, "note": "This data is adjusted for inflation.", "slug": "there-is-no-universal-trend-in-rent-prices-in-the-european-union", "title": "There is no universal trend in rent prices in the European Union", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2002, "version": 2, "subtitle": "Actual rents for housing across the ten largest EU economies, indexed to 2002 (base = 100).", "dimensions": [{"property": "y", "variableId": 1024451}], "sourceDesc": "Eurostat (2025)", "isPublished": false, "hideFacetControl": false, "selectedEntityNames": ["Germany", "France", "Italy", "Slovakia", "Netherlands", "Poland", "Belgium", "Sweden", "Ireland"], "selectedFacetStrategy": "entity"} |
there-is-no-universal-trend-in-rent-prices-in-the-european-union | LineChart | There is no universal trend in rent prices in the European Union | Actual rents for housing across the ten largest EU economies, indexed to 2002 (base = 100). | This data is adjusted for inflation. | False | |||
5244 | 5244 | 8569 | 0195ce34-fd69-7af0-acd2-25d8d4c6fdf9 | False | 2025-03-25 16:48:54 | 2025-03-25 16:48:55 | 2025-03-25 16:48:55 | 80 | False | {"id": 8569, "slug": "italy-is-an-outlier-in-how-few-houses-it-builds-per-capita", "title": "Italy is an outlier in how few houses it builds per capita", "xAxis": {"max": 90000000}, "yAxis": {"max": 35, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 2, "subtitle": "Residential Building Permits (Million m²) vs. Population", "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 1023058}, {"property": "x", "variableId": 953899}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "sourceDesc": "Eurostat (2025)", "isPublished": false, "hideTimeline": true, "comparisonLines": [{}]} |
italy-is-an-outlier-in-how-few-houses-it-builds-per-capita | ScatterPlot | Italy is an outlier in how few houses it builds per capita | Residential Building Permits (Million m²) vs. Population | False | ||||
5243 | 5243 | 8568 | 0195ce21-ca1b-716a-a234-4e26fb5d0b1c | True | 2025-03-25 16:27:55 | 2025-03-25 16:27:56 | 80 | False | {"id": 8568, "title": "Southern European countries are constructing far fewer homes than they did in the early 2000s", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2000, "version": 1, "subtitle": "Approved construction permits in square meters of living space (Index, 2021 = 100)", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"property": "y", "variableId": 1023057}], "isPublished": false, "hideFacetControl": false, "selectedEntityNames": ["Italy", "Spain", "Greece", "Portugal"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true}} |
LineChart | Southern European countries are constructing far fewer homes than they did in the early 2000s | Approved construction permits in square meters of living space (Index, 2021 = 100) | False | ||||||
5242 | 5242 | 8567 | 0195ce21-c4a2-725c-9b27-5c95768518e6 | True | 2025-03-25 16:27:54 | 2025-03-25 18:29:44 | 2025-03-25 18:29:44 | 80 | False | {"id": 8567, "map": {"region": "Europe", "colorScale": {}}, "slug": "southern-european-countries-are-constructing-far-fewer-homes-than-they-did-in-the-early-2000s", "title": "The European Union builds less than half the homes it did in 2005", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2000, "version": 5, "subtitle": "Approved construction permits in millions of square meters of living space, EU27.", "hasMapTab": true, "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"property": "y", "variableId": 1023058}], "sourceDesc": "Eurostat (2025)", "isPublished": false, "hideFacetControl": false, "selectedEntityNames": ["European Union - 27 countries (from 2020)"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true}} |
southern-european-countries-are-constructing-far-fewer-homes-than-they-did-in-the-early-2000s | LineChart | The European Union builds less than half the homes it did in 2005 | Approved construction permits in millions of square meters of living space, EU27. | False | ||||
5241 | 5241 | 8566 | 0195ce19-09dd-7886-bec6-f0ad233647fe | False | 2025-03-25 16:18:22 | 2025-03-25 16:18:28 | 2025-03-25 16:18:28 | 80 | False | {"id": 8566, "map": {"region": "Europe", "colorScale": {}}, "slug": "housing-cost-overburden-rate-in-cities-and-rural-areas", "title": "Housing cost overburden rate in cities and rural areas", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2023, "minTime": 2023, "version": 7, "subtitle": "The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances.", "hasMapTab": true, "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"name": "Cities", "color": "#00295b", "includeInTable": true}, "property": "y", "variableId": 1023059}, {"display": {"name": "Towns and suburbs", "includeInTable": true}, "property": "y", "variableId": 1023060}, {"display": {"name": "Rural areas", "color": "#38aaba", "includeInTable": true}, "property": "y", "variableId": 1023061}], "sourceDesc": "Eurostat (2025)", "isPublished": false, "addCountryMode": "change-country", "hideFacetControl": false, "selectedEntityNames": ["European Union - 27 countries (from 2020)", "Germany", "France", "Italy", "Spain", "Netherlands"], "selectedEntityColors": {"European Union - 27 countries (from 2020)": "#6d3e91"}, "selectedFacetStrategy": "entity"} |
housing-cost-overburden-rate-in-cities-and-rural-areas | DiscreteBar | Housing cost overburden rate in cities and rural areas | The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances. | False | ||||
5240 | 5240 | 8565 | 0195ce03-2648-75e6-b5df-2438f111f5a9 | True | 2025-03-25 15:54:27 | 2025-03-25 15:56:44 | 2025-03-25 15:56:44 | 80 | False | {"id": 8565, "slug": "the-housing-cost-overburden-rate-has-fallen-a-bit-in-european-cities", "title": "The housing cost overburden rate has fallen a bit in European cities", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2023, "minTime": 2010, "version": 3, "subtitle": "The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances.", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"property": "y", "variableId": 1023059}], "isPublished": false, "focusedSeriesNames": ["European Union - 27 countries (from 2020)"], "selectedEntityNames": ["European Union - 27 countries (from 2020)", "Germany", "France", "Italy", "Spain", "Netherlands", "Poland", "Belgium", "Sweden", "Ireland", "Austria", "Norway", "Denmark"], "hideAnnotationFieldsInTitle": {"time": true}} |
the-housing-cost-overburden-rate-has-fallen-a-bit-in-european-cities | LineChart | The housing cost overburden rate has fallen a bit in European cities | The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances. | False | ||||
5239 | 5239 | 8564 | 0195ce01-75f7-7405-8f84-eac8f47a634b | False | 2025-03-25 15:52:37 | 2025-03-25 15:52:37 | 80 | False | {"id": 8564, "map": {"region": "Europe", "colorScale": {}}, "title": "Housing cost overburden rate in cities, towns and suburbs and rural areas", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2023, "minTime": 2023, "version": 4, "subtitle": "The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances.", "hasMapTab": true, "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"name": "Cities", "color": "#00295b", "includeInTable": true}, "property": "y", "variableId": 1023059}, {"display": {"name": "Towns and suburbs", "color": "#286bbb", "includeInTable": true}, "property": "y", "variableId": 1023060}, {"display": {"name": "Rural areas", "color": "#38aaba", "includeInTable": true}, "property": "y", "variableId": 1023061}], "sourceDesc": "Eurostat (2025)", "isPublished": false, "addCountryMode": "change-country", "hideFacetControl": false, "selectedEntityNames": ["European Union - 27 countries (from 2020)", "Germany", "France", "Spain", "Italy", "Netherlands"], "selectedEntityColors": {"European Union - 27 countries (from 2020)": "#6d3e91"}, "selectedFacetStrategy": "entity"} |
LineChart | Housing cost overburden rate in cities, towns and suburbs and rural areas | The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances. | False | ||||||
5238 | 5238 | 8563 | 0195cdeb-e8a1-73b5-baf7-04dabc8183fd | False | 2025-03-25 15:29:04 | 2025-03-25 15:56:34 | 2025-03-25 15:56:34 | 80 | False | {"id": 8563, "map": {"region": "Europe", "colorScale": {}}, "slug": "housing-cost-overburden-rate-in-cities-and-rural-areas", "title": "Housing cost overburden rate in cities and rural areas", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2023, "minTime": 2023, "version": 5, "subtitle": "The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances.", "hasMapTab": true, "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"name": "Cities", "color": "#00295b", "includeInTable": true}, "property": "y", "variableId": 1023059}, {"display": {"name": "Rural areas", "color": "#38aaba", "includeInTable": true}, "property": "y", "variableId": 1023061}], "sourceDesc": "Eurostat (2025)", "isPublished": false, "addCountryMode": "change-country", "hideFacetControl": false, "selectedEntityNames": ["European Union - 27 countries (from 2020)", "Germany", "France", "Italy", "Spain", "Netherlands"], "selectedEntityColors": {"European Union - 27 countries (from 2020)": "#6d3e91"}, "selectedFacetStrategy": "entity"} |
housing-cost-overburden-rate-in-cities-and-rural-areas | DiscreteBar | Housing cost overburden rate in cities and rural areas | The share of the population living in households where the total housing costs represent more than 40% of disposable income, net of housing allowances. | False | ||||
5237 | 5237 | 8562 | 0195b9da-9f91-7c0c-be30-8569cc498017 | False | 2025-03-21 17:57:47 | 2025-03-21 17:57:48 | 14 | False | {"id": 8562, "slug": "greece-solar-wind-coal", "title": "Greece is turning its back on coal and replacing it with solar and wind", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 1, "subtitle": "The share of electricity generated from each source.", "dimensions": [{"property": "y", "variableId": 943855}, {"property": "y", "variableId": 944010}, {"property": "y", "variableId": 943875}], "sourceDesc": "Ember (2024)", "isPublished": false, "addCountryMode": "disabled", "selectedEntityNames": ["Greece"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
greece-solar-wind-coal | LineChart | Greece is turning its back on coal and replacing it with solar and wind | The share of electricity generated from each source. | False | |||||
5236 | 5236 | 8561 | 0195b947-ef79-7cde-9110-0f30d4b33109 | False | 2025-03-21 15:17:34 | 2025-03-21 17:14:29 | 2025-03-21 17:14:29 | 72 | True | {"id": 8561, "map": {"colorScale": {}, "columnSlug": "1002868"}, "note": "", "slug": "population-the-worlds-largest-100-cities", "title": "Number of people living in the world's largest cities", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 8, "subtitle": "The European Commission combines satellite imagery with national census data to identify [cities](#dod:cities-degurba) and define their boundaries based on population density and built-up areas.", "originUrl": "https://ourworldindata.org/urbanization", "dimensions": [{"property": "y", "variableId": 1002864}, {"property": "y", "variableId": 1002869}], "entityType": "city", "isPublished": false, "variantName": "European Commission", "internalNotes": "", "entityTypePlural": "cities", "selectedEntityNames": ["Guangzhou (China)", "Jakarta (Indonesia)", "Tokyo (Japan)", "Dhaka (Bangladesh)", "Manila (Philippines)", "Beijing (China)"], "hideAnnotationFieldsInTitle": {"time": true}} |
population-the-worlds-largest-100-cities | LineChart | Number of people living in the world's largest cities | The European Commission combines satellite imagery with national census data to identify [cities](#dod:cities-degurba) and define their boundaries based on population density and built-up areas. | Number of people living in the world's largest cities (European Commission) | False | |||
5235 | 5235 | 8560 | 0195b93c-81d9-7866-9868-38df9811b56e | False | 2025-03-21 15:05:05 | 2025-03-21 15:21:12 | 2025-03-21 15:21:12 | 72 | True | {"id": 8560, "map": {"time": 2020, "colorScale": {"baseColorScheme": "BuPu", "binningStrategy": "manual", "customNumericColors": [null], "customNumericValues": [1000000, 5000000, 10000000, 15000000, 20000000, 30000000]}, "columnSlug": "1002862"}, "slug": "number-of-people-living-in-the-capital-city-european-commission", "title": "Number of people living in the capital city", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 6, "subtitle": "The European Commission combines satellite imagery with national census data to identify [cities](#dod:cities-degurba) and define their boundaries based on population density and built-up areas.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/urbanization", "dimensions": [{"display": {"unit": "people", "includeInTable": true, "numDecimalPlaces": 0, "entityAnnotationsMap": "Afghanistan: Kabul\nAlbania: Tirana\nAlgeria: Algiers\nAngola: Luanda\nArgentina: Buenos Aires\nArmenia: Yerevan\nAruba: Oranjestad\nAustralia: North Canberra [Canberra]\nAustria: Vienna\nAzerbaijan: Baku\nBahamas: Nassau\nBahrain: Manama\nBangladesh: Dhaka\nBarbados: Bridgetown\nBelarus: Minsk\nBelgium: Brussels\nBenin: Porto-Novo\nBolivia: La Paz\nBosnia and Herzegovina: Sarajevo\nBotswana: Gaborone\nBrazil: Brasilia\nBrunei: Bandar Seri Begawan\nBulgaria: Sofia\nBurkina Faso: Ouagadougou\nBurundi: Gitega\nCambodia: Phnom Penh\nCameroon: Yaoundé\nCanada: Ottawa\nCentral African Republic: Bangui\nChad: N'Djamena\nChile: Santiago\nChina: Beijing\nColombia: Bogota\nComoros: Moroni\nCosta Rica: San José\nCroatia: Zagreb\nCuba: Havana\nCuracao: Willemstad\nCyprus: Strovolos [Nicosia]\nCzechia: Prague\nCote d'Ivoire: Yamoussoukro\nDemocratic Republic of Congo: Kinshasa\nDenmark: Copenhagen\nDjibouti: Djibouti\nDominican Republic: Santo Domingo\nEcuador: Quito\nEgypt: Cairo\nEl Salvador: San Salvador\nEquatorial Guinea: Malabo\nEritrea: Asmara\nEstonia: Tallinn\nEthiopia: Addis Ababa\nFiji: Suva\nFinland: Helsinki\nFrance: Paris\nFrench Gui… |
number-of-people-living-in-the-capital-city-european-commission | LineChart | Number of people living in the capital city | The European Commission combines satellite imagery with national census data to identify [cities](#dod:cities-degurba) and define their boundaries based on population density and built-up areas. | Number of people living in the capital city (European Commission) | False | |||
5234 | 5234 | 8559 | 0195b8e4-8848-721d-87fd-a675157f750b | False | 2025-03-21 13:28:59 | 2025-03-21 17:26:46 | 2025-03-21 17:26:46 | 50 | False | {"id": 8559, "map": {"colorScale": {}, "columnSlug": "1014796"}, "note": "", "slug": "cases-and-deaths-from-vaccine-preventable-diseases", "title": "Cases and deaths from vaccine-preventable diseases", "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 4, "subtitle": "", "originUrl": "https://ourworldindata.org/vaccination", "dimensions": [{"display": {"unit": "cases", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1014796}, {"property": "y", "variableId": 1015976}, {"property": "y", "variableId": 1015978}, {"property": "y", "variableId": 1015981}, {"property": "y", "variableId": 1015490}, {"property": "y", "variableId": 1013638}, {"property": "y", "variableId": 1014786}, {"property": "y", "variableId": 1014816}, {"property": "y", "variableId": 1012629}, {"property": "y", "variableId": 1012620}, {"property": "y", "variableId": 1015493}], "isPublished": false, "addCountryMode": "change-country", "hideFacetControl": false, "selectedEntityNames": ["United States"], "selectedFacetStrategy": "metric", "hideAnnotationFieldsInTitle": {"time": true}} |
cases-and-deaths-from-vaccine-preventable-diseases | LineChart | Cases and deaths from vaccine-preventable diseases | False | |||||
5233 | 5233 | 8558 | 0195b34e-392e-7f57-9908-7e7c69e299cc | True | 2025-03-20 11:26:42 | 2025-03-20 12:04:43 | 2025-03-20 12:04:43 | 50 | False | {"id": 8558, "map": {"colorScale": {}, "columnSlug": "1016431"}, "note": "Only a fraction of potential cases of influenza are tested by labs to confirm influenza and to identify their strain.", "slug": "lab-confirmed-cases-of-the-b-yamagata-strain-of-influenza", "title": "Confirmed cases of the B Yamagata strain of influenza", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": -2570, "version": 4, "subtitle": "Weekly confirmed cases of B Yamagata influenza cases from all types of influenza surveillance.", "originUrl": "ourworldindata.org/influenza", "dimensions": [{"display": {"unit": "cases", "zeroDay": "1995-01-02", "yearIsDay": true, "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1016431}], "isPublished": false, "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
lab-confirmed-cases-of-the-b-yamagata-strain-of-influenza | LineChart | Confirmed cases of the B Yamagata strain of influenza | Weekly confirmed cases of B Yamagata influenza cases from all types of influenza surveillance. | Only a fraction of potential cases of influenza are tested by labs to confirm influenza and to identify their strain. | False | |||
5232 | 5232 | 8556 | 0195ae2d-640b-7e6a-8443-1621ac1ab586 | True | 2025-03-19 11:32:45 | 2025-03-19 12:42:47 | 2025-03-19 12:42:47 | 50 | False | {"id": 8556, "map": {"colorScale": {}, "columnSlug": "1014796"}, "note": "", "slug": "pertussis-cases-in-the-united-states", "title": "Pertussis cases in the United States", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "Reported number of cases of [pertussis](#dod:pertussis) (\"whooping cough\") in the United States.", "originUrl": "https://ourworldindata.org/vaccination", "dimensions": [{"display": {"unit": "cases", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1014796}], "isPublished": false, "selectedEntityNames": ["United States"]} |
pertussis-cases-in-the-united-states | LineChart | Pertussis cases in the United States | Reported number of cases of [pertussis](#dod:pertussis) ("whooping cough") in the United States. | False | ||||
5231 | 5231 | 8555 | 0195a9ea-1bb2-7af4-8044-29f3c086b226 | False | 2025-03-18 15:40:46 | 2025-03-18 15:41:42 | 2025-03-18 15:41:42 | 72 | False | {"id": 8555, "note": "Famines are plotted by their start date.", "slug": "deaths-from-large-famines-vs-gdp-per-capita-at-the-time", "title": "Deaths from large famines vs. GDP per capita at the time", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 29, "subtitle": "Famines that are estimated to have killed 100,000 people or more. GDP per capita is adjusted for inflation and for differences in living costs between countries. The World Peace Foundation's triggers seek to summarize the established view among scholars.", "originUrl": "https://ourworldindata.org/famines", "chartTypes": ["ScatterPlot"], "colorScale": {"baseColorScheme": "OwidDistinctLines", "binningStrategy": "manual", "customNumericLabels": ["Democracy", "Autocracy"], "customNumericValues": [2, 3], "customCategoryColors": {"Genocide": "#6d3e91", "Armed conflict": "#c15065", "Adverse climate": "#00847e", "Government policies": "#286bbb"}, "customNumericColorsActive": true}, "dimensions": [{"property": "y", "variableId": 1009185}, {"property": "x", "variableId": 1009179}, {"property": "color", "variableId": 1009181}], "entityType": "famine", "sourceDesc": "Bolt and van Zanden - Maddison Project Database 2023; V-Dem (2024); World Peace Foundation (2024)", "isPublished": false, "comparisonLines": [{"yEquals": "1000*x"}], "entityTypePlural": "famines", "hideAnnotationFieldsInTitle": {"time": true}} |
deaths-from-large-famines-vs-gdp-per-capita-at-the-time | ScatterPlot | Deaths from large famines vs. GDP per capita at the time | Famines that are estimated to have killed 100,000 people or more. GDP per capita is adjusted for inflation and for differences in living costs between countries. The World Peace Foundation's triggers seek to summarize the established view among scholars. | Famines are plotted by their start date. | False | |||
5230 | 5230 | 8554 | 0195a941-a335-79af-aad5-0ef92614618e | False | 2025-03-18 12:36:46 | 2025-03-18 12:37:09 | 2025-03-18 12:37:09 | 10 | False | {"id": 8554, "slug": "community-emissions-data-system", "title": "Sulfur dioxide emissions by sector", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "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.", "dimensions": [{"property": "y", "variableId": 1013700}, {"property": "y", "variableId": 1013703}, {"property": "y", "variableId": 1013705}, {"property": "y", "variableId": 1013716}, {"property": "y", "variableId": 1013708}, {"property": "y", "variableId": 1013702}, {"property": "y", "variableId": 1013704}, {"property": "y", "variableId": 1013706}, {"property": "y", "variableId": 1013707}, {"property": "y", "variableId": 1013710}], "isPublished": false, "addCountryMode": "change-country", "selectedEntityNames": ["World"]} |
community-emissions-data-system | LineChart | Sulfur dioxide emissions by sector | 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. | False | ||||
5229 | 5229 | 8553 | 0195a900-db62-706c-8e98-37fc18d9f833 | True | 2025-03-18 11:26:00 | 2025-03-18 11:26:01 | 80 | False | {"id": 8553, "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2015, "version": 6, "subtitle": "This data is adjusted for inflation.", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"name": "House price index, 2015 = 100", "roundingMode": "significantFigures", "includeInTable": true}, "property": "y", "variableId": 1015598}], "isPublished": false, "selectedEntityNames": ["Germany", "France", "Italy", "Spain", "Poland", "Romania", "Netherlands", "Belgium", "Czechia", "Sweden", "Portugal", "Greece"], "selectedFacetStrategy": "entity"} |
LineChart | This data is adjusted for inflation. | False | |||||||
5228 | 5228 | 8552 | 0195a80c-edaf-772c-ba23-2a678d5e586a | True | 2025-03-18 06:59:34 | 2025-03-18 11:25:59 | 2025-03-18 11:25:59 | 80 | False | {"id": 8552, "slug": "house-price-index-2015-100", "title": "House price index, 2015 = 100", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2015, "version": 5, "subtitle": "This data is adjusted for inflation.", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"name": "House price index, 2015 = 100", "roundingMode": "significantFigures", "includeInTable": true}, "property": "y", "variableId": 1015598}], "isPublished": false, "selectedEntityNames": ["Germany", "France", "Italy", "Spain", "Poland", "Romania", "Netherlands", "Belgium", "Czechia", "Sweden", "Portugal", "Greece"], "selectedFacetStrategy": "entity"} |
house-price-index-2015-100 | LineChart | House price index, 2015 = 100 | This data is adjusted for inflation. | False | ||||
5227 | 5227 | 8551 | 0195a40b-48f7-729b-bcba-8ea5bb51b60d | True | 2025-03-17 12:19:17 | 2025-03-17 12:19:18 | 79 | False | {"id": 8551, "note": "Activities such as sleeping, grooming, and personal care are not included in the data. Relationships used to categorize people are not exhaustive and time spent with multiple people counts toward all (e.g., attending a party with friends and partner counts toward both \"friends\" and \"partner\").", "slug": "who-americans-spend-their-time-with", "title": "Who Americans spend their time with, by age group", "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 106, "subtitle": "Measured in hours per day, based on annual averages from surveys in the United States.", "originUrl": "ourworldindata.org/time-use", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"name": "Alone", "includeInTable": true}, "property": "y", "variableId": 1015573}, {"display": {"name": "With friends", "unit": "Hours", "includeInTable": true}, "property": "y", "variableId": 1015585}, {"display": {"name": "With children", "includeInTable": true}, "property": "y", "variableId": 1015576}, {"display": {"name": "With family", "includeInTable": true}, "property": "y", "variableId": 1015582}, {"display": {"name": "With partner", "unit": "Hours", "includeInTable": true}, "property": "y", "variableId": 1015594}, {"display": {"name": "With co-workers", "includeInTable": true}, "property": "y", "variableId": 1015579}], "entityType": "age group", "isPublished": false, "variantName": "Over time", "internalNotes": "This chart is too complex to publish, but we should keep it as a draft because it is very useful for coming up with data insights.", "timelineMinTime": 2010, "entityTypePlural": "age groups", "relatedQuestions": [{"url": "https://ourworldindata.org/time-with-others-lifetime", "text": "Who do we spend time with across our lifetime?"}], "selectedEntityNames": ["15-29 years", "30-44 years", "45-59 years", "60+ years"], "selectedFacetStrategy": "metric", "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "chan… |
who-americans-spend-their-time-with | LineChart | Who Americans spend their time with, by age group | Measured in hours per day, based on annual averages from surveys in the United States. | Activities such as sleeping, grooming, and personal care are not included in the data. Relationships used to categorize people are not exhaustive and time spent with multiple people counts toward all (e.g., attending a party with friends and partner counts toward both "friends" and "partner"). | Who Americans spend their time with, by age group (Over time) | False | |||
5226 | 5226 | 8550 | 0195a40b-452c-7e74-8260-4fb47231c8ee | True | 2025-03-17 12:19:16 | 2025-03-17 12:19:17 | 2025-03-17 12:19:17 | 79 | 79 | True | {"id": 8550, "note": "Activities such as sleeping, grooming, and personal care are not included in the data. Relationships used to categorize people are not exhaustive and time spent with multiple people counts toward all (e.g., attending a party with friends and partner counts toward both \"friends\" and \"partner\").", "slug": "who-americans-spend-their-time-with", "title": "Who Americans spend their time with", "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 104, "subtitle": "Measured in hours per day, based on annual averages from surveys in the United States.", "originUrl": "ourworldindata.org/time-use", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"name": "Alone", "includeInTable": true}, "property": "y", "variableId": 1015573}, {"display": {"name": "With friends", "unit": "Hours", "includeInTable": true}, "property": "y", "variableId": 1015585}, {"display": {"name": "With children", "includeInTable": true}, "property": "y", "variableId": 1015576}, {"display": {"name": "With family", "includeInTable": true}, "property": "y", "variableId": 1015582}, {"display": {"name": "With partner", "unit": "Hours", "includeInTable": true}, "property": "y", "variableId": 1015594}, {"display": {"name": "With co-workers", "includeInTable": true}, "property": "y", "variableId": 1015579}], "entityType": "age group", "isPublished": true, "variantName": "Over time", "addCountryMode": "change-country", "timelineMinTime": 2010, "entityTypePlural": "age groups", "relatedQuestions": [{"url": "https://ourworldindata.org/time-with-others-lifetime", "text": "Who do we spend time with across our lifetime?"}], "selectedEntityNames": ["All ages"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}} |
who-americans-spend-their-time-with | LineChart | Who Americans spend their time with | Measured in hours per day, based on annual averages from surveys in the United States. | Activities such as sleeping, grooming, and personal care are not included in the data. Relationships used to categorize people are not exhaustive and time spent with multiple people counts toward all (e.g., attending a party with friends and partner counts toward both "friends" and "partner"). | Who Americans spend their time with (Over time) | True | |
5225 | 5225 | 8549 | 0195a40b-42fb-707f-aeb1-a09f0eb894a3 | True | 2025-03-17 12:19:16 | 2025-03-17 12:19:16 | 79 | True | {"id": 8549, "note": "Activities such as sleeping, grooming, and personal care are not included in the data.", "slug": "time-spent-alone-by-age-group", "title": "How much time Americans spend alone, by age group", "yAxis": {"min": 0}, "sortBy": "custom", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 46, "subtitle": "Measured in hours per day, based on annual averages from surveys in the United States.", "originUrl": "https://ourworldindata.org/time-use", "sortOrder": "asc", "stackMode": "relative", "dimensions": [{"property": "y", "variableId": 1015573}], "entityType": "age group", "isPublished": false, "variantName": "", "internalNotes": "This is a draft chart which might be used for a DI or otherwise deleted", "timelineMinTime": 2010, "entityTypePlural": "age groups", "relatedQuestions": [{"url": "https://ourworldindata.org/time-with-others-lifetime", "text": "Who do we spend time with across our lifetime?"}], "hideRelativeToggle": false, "selectedEntityNames": ["15-29 years", "30-44 years", "45-59 years", "60+ years"], "selectedEntityColors": {"male": "#4c6a9c", "female": "#b13507"}, "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
time-spent-alone-by-age-group | LineChart | How much time Americans spend alone, by age group | Measured in hours per day, based on annual averages from surveys in the United States. | Activities such as sleeping, grooming, and personal care are not included in the data. | How much time Americans spend alone, by age group () | False | |||
5224 | 5224 | 8548 | 0195a40b-3f88-7494-b176-7cf50c26147b | False | 2025-03-17 12:19:15 | 2025-03-21 12:50:35 | 2025-03-21 12:50:35 | 2025-03-17 12:19:16 | 51 | 79 | True | {"id": 8548, "note": "Activities such as sleeping, grooming, and personal care are not included in the data. Relationships used to categorize people are not exhaustive and time spent with multiple people counts toward all (e.g., attending a party with friends and partner counts toward both \"friends\" and \"partner\").", "slug": "time-spent-alone-by-age-and-gender", "title": "Who Americans spend their time with, by age and gender", "xAxis": {"label": "Age"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 36, "subtitle": "Measured in hours per day, based on averages from surveys in the United States between 2010 and 2023.", "originUrl": "", "dimensions": [{"display": {"name": "With family", "includeInTable": true}, "property": "y", "variableId": 1015569}, {"display": {"name": "With friends", "includeInTable": true}, "property": "y", "variableId": 1015568}, {"display": {"name": "With coworkers", "includeInTable": true}, "property": "y", "variableId": 1015567}, {"display": {"name": "With partner", "includeInTable": true}, "property": "y", "variableId": 1015572}, {"display": {"name": "With children", "includeInTable": true}, "property": "y", "variableId": 1015566}, {"display": {"name": "Alone", "includeInTable": true}, "property": "y", "variableId": 1015565}], "entityType": "gender", "isPublished": true, "hideTimeline": true, "internalNotes": "", "addCountryMode": "disabled", "baseColorScheme": "OwidDistinctLines", "timelineMaxTime": 80, "entityTypePlural": "genders", "relatedQuestions": [{"url": "https://ourworldindata.org/time-with-others-lifetime", "text": "Who do we spend time with across our lifetime?"}], "selectedEntityNames": ["Women", "Men"], "selectedEntityColors": {"Men": "#4c6a9c", "male": "#4c6a9c", "Women": "#b13507", "female": "#b13507"}, "selectedFacetStrategy": "metric", "facettingLabelByYVariables": "relationship", "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
time-spent-alone-by-age-and-gender | LineChart | Who Americans spend their time with, by age and gender | Measured in hours per day, based on averages from surveys in the United States between 2010 and 2023. | Activities such as sleeping, grooming, and personal care are not included in the data. Relationships used to categorize people are not exhaustive and time spent with multiple people counts toward all (e.g., attending a party with friends and partner counts toward both "friends" and "partner"). | True | |
5223 | 5223 | 8546 | 01959514-faa6-72f5-9010-2bf182cc373d | False | 2025-03-14 14:35:34 | 2025-03-14 14:35:35 | 14 | False | {"id": 8546, "slug": "death-rates-from-leukaemia", "title": "Death rates from leukaemia", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 1, "subtitle": "Reported annual death rate from childhood cancers, per 100,000 children, based on the underlying cause listed on death certificates.", "dimensions": [{"display": {"name": "Under-5s", "includeInTable": true}, "property": "y", "variableId": 962376}, {"display": {"name": "5 to 9 year olds", "includeInTable": true}, "property": "y", "variableId": 963052}, {"display": {"name": "10 to 14 year olds", "includeInTable": true}, "property": "y", "variableId": 962452}], "isPublished": false, "addCountryMode": "change-country", "selectedEntityNames": ["United Kingdom"]} |
death-rates-from-leukaemia | LineChart | Death rates from leukaemia | Reported annual death rate from childhood cancers, per 100,000 children, based on the underlying cause listed on death certificates. | False | |||||
5222 | 5222 | 8544 | 01959433-b6f2-7f7b-ae85-84570911b6b0 | True | 2025-03-14 10:29:32 | 2025-03-14 13:23:11 | 2025-03-14 13:23:11 | 2025-03-14 13:23:12 | 72 | 72 | False | {"id": 8544, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": [null, null, null], "customNumericValues": [100000, 1000000, 10000000, 100000000, 100000000]}, "columnSlug": "1015486"}, "tab": "map", "note": "Data on aviation emissions is missing for some countries, so actual global and regional emissions are higher. Regional emissions are shown to highlight trends over time and should not be compared.", "slug": "annual-co-emissions-from-aviation", "title": "Annual CO₂ emissions from aviation", "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2019, "version": 12, "hasMapTab": true, "originUrl": "https://ourworldindata.org/tourism", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"unit": "tonnes", "shortUnit": "t", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1015486}], "isPublished": true, "selectedEntityNames": ["Turkey", "Egypt", "Greece", "Portugal"], "selectedFacetStrategy": "entity"} |
annual-co-emissions-from-aviation | StackedBar | Annual CO₂ emissions from aviation | Data on aviation emissions is missing for some countries, so actual global and regional emissions are higher. Regional emissions are shown to highlight trends over time and should not be compared. | True | ||
5221 | 5221 | 8543 | 01958976-2ec8-7c75-960b-a9ab80db4981 | False | 2025-03-12 08:26:18 | 2025-03-12 08:53:20 | 2025-03-12 08:53:20 | 2025-03-12 08:26:45 | 72 | 72 | False | {"id": 8543, "map": {"colorScale": {}, "columnSlug": "990644"}, "slug": "number-of-unique-settlements", "title": "Number of unique settlements", "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 4, "subtitle": "The European Commission combines satellite imagery with national census data to identify [cities](#dod:cities-degurba), [towns](#dod:towns-degurba) and [villages](#dod:villages-degurba) which together make up settlements.", "chartTypes": ["StackedDiscreteBar"], "dimensions": [{"display": {"name": "Villages", "color": "#c15065", "includeInTable": true}, "property": "y", "variableId": 990644}, {"display": {"name": "Towns", "color": "#00847e", "includeInTable": true}, "property": "y", "variableId": 990647}, {"display": {"name": "Cities", "unit": "number", "color": "#38aaba", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 990651}], "isPublished": true, "internalNotes": "to share with a user", "selectedEntityNames": ["World", "Africa", "Europe", "North America", "South America", "Asia"]} |
number-of-unique-settlements | StackedDiscreteBar | Number of unique settlements | The European Commission combines satellite imagery with national census data to identify [cities](#dod:cities-degurba), [towns](#dod:towns-degurba) and [villages](#dod:villages-degurba) which together make up settlements. | True | ||
5220 | 5220 | 8542 | 01958630-5728-7ea3-84bf-49e180db6562 | True | 2025-03-11 17:11:09 | 2025-03-11 17:11:10 | 14 | False | {"id": 8542, "note": "", "slug": "deaths-sudden-infant-death-syndrome", "title": "Number of deaths from sudden infant death syndrome", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 1, "dimensions": [{"property": "y", "variableId": 923481}], "isPublished": false, "selectedEntityNames": ["United Kingdom"]} |
deaths-sudden-infant-death-syndrome | LineChart | Number of deaths from sudden infant death syndrome | False | ||||||
5219 | 5219 | 8541 | 0195861e-e812-7b51-8fcf-b02f385da041 | False | 2025-03-11 16:52:07 | 2025-03-11 16:52:34 | 2025-03-11 16:52:34 | 2025-03-11 16:52:09 | 14 | 14 | True | {"id": 8541, "slug": "number-of-children-that-die-from-road-injuries", "title": "Number of children that die from road injuries", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "Road injuries include those of drivers, passengers, pedestrians and cyclists.", "originUrl": "ourworldindata.org/causes-of-death", "dimensions": [{"display": {"name": "Under-5s", "includeInTable": true}, "property": "y", "variableId": 922582}, {"display": {"name": "5-to-14 year olds", "includeInTable": true}, "property": "y", "variableId": 919589}], "isPublished": true, "addCountryMode": "change-country", "selectedEntityNames": ["World"]} |
number-of-children-that-die-from-road-injuries | LineChart | Number of children that die from road injuries | Road injuries include those of drivers, passengers, pedestrians and cyclists. | True | ||
5218 | 5218 | 8540 | 019585cc-de03-704b-bd4f-e62fe4da0db3 | False | 2025-03-11 15:22:30 | 2025-03-11 15:36:58 | 2025-03-11 15:36:58 | 72 | False | {"id": 8540, "map": {"colorScale": {}, "columnSlug": "1015463"}, "note": "The numbers 1 to 12 on the horizontal axis represent the months of the year, from 1 for January to 12 for December.", "slug": "co-emissions-from-commercial-passenger-flights-by-year", "title": "CO₂ emissions from commercial passenger flights by year", "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 6, "subtitle": "Includes emissions from both domestic and international aviation. International aviation emissions are assigned to the country of departure.", "originUrl": "https://ourworldindata.org/tourism", "dimensions": [{"display": {"unit": "tonnes", "color": "#980043", "shortUnit": "t", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1015463}, {"display": {"color": "#b3094d", "includeInTable": true}, "property": "y", "variableId": 1015462}, {"display": {"color": "#db1e70", "includeInTable": true}, "property": "y", "variableId": 1015461}, {"display": {"color": "#df65b0", "includeInTable": true}, "property": "y", "variableId": 1015460}, {"display": {"color": "#3a7b1d", "includeInTable": true}, "property": "y", "variableId": 1015456}, {"display": {"color": "#d4b9da", "includeInTable": true}, "property": "y", "variableId": 1015457}], "isPublished": false, "addCountryMode": "change-country", "focusedSeriesNames": ["2020", "2024", "2021", "2022", "2023", "2019"], "selectedEntityNames": ["Colombia", "Brazil", "Argentina"], "hideAnnotationFieldsInTitle": {"time": true}} |
co-emissions-from-commercial-passenger-flights-by-year | LineChart | CO₂ emissions from commercial passenger flights by year | Includes emissions from both domestic and international aviation. International aviation emissions are assigned to the country of departure. | The numbers 1 to 12 on the horizontal axis represent the months of the year, from 1 for January to 12 for December. | False | |||
5217 | 5217 | 8538 | 01957ec9-260a-78aa-8a59-ee97dfacaa01 | False | 2025-03-10 06:41:06 | 2025-03-19 09:45:35 | 2025-03-19 09:45:35 | 2025-03-11 08:31:33 | 51 | 51 | True | {"id": 8538, "map": {"colorScale": {}, "columnSlug": "1007624"}, "note": "", "slug": "share-of-men-in-england-and-wales-who-have-ever-married-by-age", "title": "Share of men in England and Wales who have ever married by age", "yAxis": {"max": 100, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 17, "version": 26, "subtitle": "Each line represents a birth cohort (e.g., \"1980\" for men born in 1980), and the horizontal axis shows men's age.", "originUrl": "ourworldindata.org/marriages-and-divorces", "dimensions": [{"display": {"unit": "%", "color": "#000004", "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1007624}, {"display": {"color": "#2d0b59", "includeInTable": true}, "property": "y", "variableId": 1007627}, {"display": {"color": "#6d186e", "includeInTable": true}, "property": "y", "variableId": 1007628}, {"display": {"color": "#ab2f5e", "includeInTable": true}, "property": "y", "variableId": 1007630}, {"display": {"color": "#c83f4b", "includeInTable": true}, "property": "y", "variableId": 1007631}, {"display": {"color": "#e05536", "includeInTable": true}, "property": "y", "variableId": 1007633}, {"display": {"color": "#f1731d", "includeInTable": true}, "property": "y", "variableId": 1007632}, {"display": {"color": "#fa9507", "includeInTable": true}, "property": "y", "variableId": 1007634}], "entityType": "gender", "isPublished": true, "hideTimeline": true, "addCountryMode": "disabled", "entityTypePlural": "gender", "selectedEntityNames": ["Men"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
share-of-men-in-england-and-wales-who-have-ever-married-by-age | LineChart | Share of men in England and Wales who have ever married by age | Each line represents a birth cohort (e.g., "1980" for men born in 1980), and the horizontal axis shows men's age. | True | ||
5216 | 5216 | 8537 | 01957ec8-936c-7ab0-ad28-0a8882afdfb8 | False | 2025-03-10 06:40:29 | 2025-03-19 09:45:40 | 2025-03-19 09:45:40 | 2025-03-11 08:31:27 | 51 | 51 | True | {"id": 8537, "map": {"colorScale": {}, "columnSlug": "1007624"}, "note": "", "slug": "share-of-women-in-england-and-wales-who-have-ever-married-by-age", "title": "Share of women in England and Wales who have ever married by age", "yAxis": {"max": 100, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 17, "version": 26, "subtitle": "Each line represents a birth cohort (e.g., \"1980\" for women born in 1980), and the horizontal axis shows women's age.", "originUrl": "ourworldindata.org/marriages-and-divorces", "dimensions": [{"display": {"unit": "%", "color": "#000004", "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1007624}, {"display": {"color": "#2d0b59", "includeInTable": true}, "property": "y", "variableId": 1007627}, {"display": {"color": "#6d186e", "includeInTable": true}, "property": "y", "variableId": 1007628}, {"display": {"color": "#ab2f5e", "includeInTable": true}, "property": "y", "variableId": 1007630}, {"display": {"color": "#c83f4b", "includeInTable": true}, "property": "y", "variableId": 1007631}, {"display": {"color": "#e05536", "includeInTable": true}, "property": "y", "variableId": 1007633}, {"display": {"color": "#f1731d", "includeInTable": true}, "property": "y", "variableId": 1007632}, {"display": {"color": "#fa9507", "includeInTable": true}, "property": "y", "variableId": 1007634}], "entityType": "gender", "isPublished": true, "hideTimeline": true, "addCountryMode": "disabled", "entityTypePlural": "gender", "selectedEntityNames": ["Women"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
share-of-women-in-england-and-wales-who-have-ever-married-by-age | LineChart | Share of women in England and Wales who have ever married by age | Each line represents a birth cohort (e.g., "1980" for women born in 1980), and the horizontal axis shows women's age. | True | ||
5215 | 5215 | 8535 | 0195776f-7776-7e03-94cc-648248615348 | True | 2025-03-08 20:25:48 | 2025-03-08 20:25:50 | 2025-03-08 20:25:50 | 80 | False | {"id": 8535, "note": "Safe drinking water services must be accessible on premises, consistently available, and contain no fecal or harmful chemical contaminants.", "slug": "one-in-four-people-doesnt-have-access-to-safely-managed-drinking-water-services", "title": "One in four people doesn't have access to safely managed drinking water services", "yAxis": {"max": 100}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "", "dimensions": [{"property": "y", "variableId": 820173}], "sourceDesc": "WHO/UNICEF (2024)", "isPublished": false, "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true}} |
one-in-four-people-doesnt-have-access-to-safely-managed-drinking-water-services | LineChart | One in four people doesn't have access to safely managed drinking water services | Safe drinking water services must be accessible on premises, consistently available, and contain no fecal or harmful chemical contaminants. | False | ||||
5214 | 5214 | 8534 | 019576d3-9812-7d6f-993e-f108d78075f8 | True | 2025-03-08 17:35:33 | 2025-03-08 17:35:35 | 2025-03-08 17:35:35 | 80 | False | {"id": 8534, "slug": "", "title": "", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "stackMode": "relative", "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"name": "Share of the population using safely managed drinking water services", "includeInTable": true}, "property": "y", "variableId": 820173}, {"property": "color", "variableId": 900801}], "isPublished": false, "hideRelativeToggle": false, "selectedEntityNames": ["Tanzania", "Chile", "Reunion", "Estonia"]} |
DiscreteBar | False | |||||||
5213 | 5213 | 8533 | 01957561-67f3-7ecb-b39d-1a5157910da6 | False | 2025-03-08 10:51:12 | 2025-03-10 10:11:56 | 2025-03-10 10:11:56 | 62 | False | {"id": 8533, "note": "", "slug": "china-tops-official-financing-to-developing-countries-2014-2021", "title": "China tops official financing to developing countries, 2014-2021", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "Official financial flows from China and the G7 to the developing world. This data is expressed in 2021 US dollars.", "originUrl": "https://www.aiddata.org/publications/belt-and-road-reboot", "chartTypes": ["StackedDiscreteBar"], "dimensions": [{"display": {"unit": "$", "includeInTable": true, "conversionFactor": 1000000000, "numDecimalPlaces": 0}, "property": "y", "variableId": 1014844}, {"display": {"unit": "$", "color": "#00295b", "includeInTable": true, "conversionFactor": 1000000000, "numDecimalPlaces": 0}, "property": "y", "variableId": 1014845}, {"display": {"unit": "$", "includeInTable": true, "conversionFactor": 1000000000, "numDecimalPlaces": 0}, "property": "y", "variableId": 1014846}], "sourceDesc": "AidData (2023)", "isPublished": false, "selectedEntityNames": ["Italy", "China", "Canada", "France", "Japan", "Germany", "United Kingdom", "United States"], "hideAnnotationFieldsInTitle": {"time": true}} |
china-tops-official-financing-to-developing-countries-2014-2021 | StackedDiscreteBar | China tops official financing to developing countries, 2014-2021 | Official financial flows from China and the G7 to the developing world. This data is expressed in 2021 US dollars. | False | ||||
5212 | 5212 | 8532 | 01957065-155c-77cc-8162-9a0c912704d0 | True | 2025-03-07 11:37:07 | 2025-03-24 13:59:58 | 2025-03-24 13:59:58 | 2025-03-14 09:52:53 | 48 | 14 | False | {"id": 8532, "note": "This data is expressed in constant 2022 US$.", "slug": "amount-of-foreign-aid-spend-in-recipient-countries", "title": "Foreign aid spent in recipient countries", "yAxis": {"facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 7, "subtitle": "[Net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) that is spent in recipient countries, rather than domestic activities — such as administration and the hosting of refugees — within the donor country. This data is expressed in US dollars and is adjusted for inflation.", "dimensions": [{"display": {"color": "#9a5129", "includeInTable": true}, "property": "y", "variableId": 1015482}], "entityType": "donor", "isPublished": true, "timelineMinTime": 2010, "entityTypePlural": "donors", "selectedEntityNames": ["DAC countries", "Germany", "France", "United States", "United Kingdom", "Japan"], "selectedFacetStrategy": "entity"} |
amount-of-foreign-aid-spend-in-recipient-countries | LineChart | Foreign aid spent in recipient countries | [Net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) that is spent in recipient countries, rather than domestic activities — such as administration and the hosting of refugees — within the donor country. This data is expressed in US dollars and is adjusted for inflation. | This data is expressed in constant 2022 US$. | True | |
5211 | 5211 | 8531 | 0195702a-aa6b-7056-9fe1-6b9868b4abb5 | True | 2025-03-07 10:33:19 | 2025-03-19 12:15:19 | 2025-03-19 12:15:19 | 2025-03-14 09:51:35 | 62 | 14 | False | {"id": 8531, "slug": "share-of-foreign-aid-spent-within-donor-countries", "title": "Share of foreign aid spent within donor countries", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 6, "subtitle": "Activities within donor countries are often counted in [net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) totals. This includes administrative costs, hosting refugees, student scholarships, and development awareness.", "dimensions": [{"property": "y", "variableId": 1015479}], "entityType": "donor", "isPublished": true, "timelineMinTime": 2010, "entityTypePlural": "donors", "selectedEntityNames": ["DAC countries", "Germany", "France", "United States", "United Kingdom", "Japan"], "selectedFacetStrategy": "entity"} |
share-of-foreign-aid-spent-within-donor-countries | LineChart | Share of foreign aid spent within donor countries | Activities within donor countries are often counted in [net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) totals. This includes administrative costs, hosting refugees, student scholarships, and development awareness. | True | ||
5210 | 5210 | 8530 | 0195700a-9d2b-7d39-b146-acb85ab7b2ac | False | 2025-03-07 09:58:18 | 2025-03-19 12:15:18 | 2025-03-19 12:15:18 | 2025-03-12 14:57:04 | 62 | 62 | True | {"id": 8530, "note": "Administrative costs represent only expenses not already included as integral parts of other ODA delivery. While some costs (like diplomatic staff) are spent within recipient countries, they don't reach the intended aid beneficiaries.", "slug": "foreign-aid-given-to-donor-countries-share", "title": "Share of foreign aid spent domestically within donor countries", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 11, "subtitle": "[Net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) that stays in donor countries, as a share of total ODA.", "chartTypes": ["StackedDiscreteBar"], "dimensions": [{"display": {"name": "Refugees in donor countries", "color": "#607ba8", "tolerance": 0, "includeInTable": true}, "property": "y", "variableId": 1015475}, {"display": {"name": "Administrative costs", "color": "#ad5d82", "tolerance": 0, "includeInTable": true}, "property": "y", "variableId": 1015471}, {"display": {"name": "Scholarships and student costs", "color": "#be986d", "tolerance": 0, "includeInTable": true}, "property": "y", "variableId": 1015469}, {"display": {"name": "Development awareness", "color": "#00295b", "tolerance": 0, "includeInTable": true}, "property": "y", "variableId": 1015473}], "entityType": "donor", "isPublished": true, "internalNotes": "", "baseColorScheme": "OwidCategoricalC", "timelineMinTime": 2010, "entityTypePlural": "donors", "selectedEntityNames": ["Netherlands", "Canada", "DAC countries (OECD)", "United Kingdom", "United States", "Sweden", "Japan", "Germany", "France", "Finland", "Hungary", "Ireland", "Poland", "Non-DAC countries (OECD)", "Czechia", "DAC countries", "Non-DAC countries"]} |
foreign-aid-given-to-donor-countries-share | StackedDiscreteBar | Share of foreign aid spent domestically within donor countries | [Net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) that stays in donor countries, as a share of total ODA. | Administrative costs represent only expenses not already included as integral parts of other ODA delivery. While some costs (like diplomatic staff) are spent within recipient countries, they don't reach the intended aid beneficiaries. | True | |
5209 | 5209 | 8529 | 01955be2-a3fe-7d54-a622-42a727b13f27 | True | 2025-03-03 12:02:14 | 2025-03-14 12:36:45 | 2025-03-14 12:36:45 | 2025-03-14 12:36:46 | 14 | 14 | False | {"id": 8529, "map": {"colorScale": {}, "columnSlug": "1014784"}, "note": "", "slug": "infants-pre-term-share", "title": "Share of infants that are born pre-term", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "Pre-term is defined as being born between 22 and 37 weeks of gestation. Pre-term infants are often at a significantly higher risk of mortality and health complications than infants born at full-term.", "originUrl": "", "dimensions": [{"display": {"unit": "%", "color": "#4c6a9c", "shortUnit": "%", "includeInTable": true}, "property": "y", "variableId": 1014784}], "sourceDesc": "Euro Peristat and US CDC", "isPublished": true, "selectedEntityNames": ["Austria", "Belgium", "United States", "United Kingdom", "Switzerland", "Spain", "Sweden", "Portugal", "Norway", "Poland", "Netherlands", "Lithuania", "Latvia", "Italy", "Ireland", "Germany", "Hungary", "France", "Finland", "Estonia", "Denmark", "Cyprus", "Croatia"], "selectedEntityColors": {"United States": "#4c6a9c"}} |
infants-pre-term-share | LineChart | Share of infants that are born pre-term | Pre-term is defined as being born between 22 and 37 weeks of gestation. Pre-term infants are often at a significantly higher risk of mortality and health complications than infants born at full-term. | True | ||
5208 | 5208 | 8528 | 01954c15-a5b4-751d-9f7b-e635eff7ab17 | True | 2025-02-28 10:24:01 | 2025-02-28 10:24:02 | 50 | False | {"id": 8528, "map": {"colorScale": {}, "columnSlug": "1002587"}, "slug": "population", "title": "Population", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 1, "hasMapTab": true, "dimensions": [{"display": {"name": "Population", "unit": "people", "includeInTable": true}, "property": "y", "variableId": 1002587}], "isPublished": false, "selectedEntityNames": ["East Germany", "West Germany"]} |
population | LineChart | Population | False | ||||||
5207 | 5207 | 8527 | 01954bff-9d54-7055-84dc-ca28f9857cac | True | 2025-02-28 09:59:58 | 2025-03-14 15:15:21 | 2025-02-28 10:05:42 | 58 | False | {"id": 8527, "note": "Data reflects unsubsidized costs, expressed in constant 2023 US$.", "slug": "levelized-cost-of-energy-by-technology", "title": "How did the price of electricity from new power plants change over the last 15 years?", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 5, "subtitle": "", "originUrl": "https://ourworldindata.org/energy", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"unit": "constant 2023 US$ per megawatt-hour", "shortUnit": "$/MWh", "includeInTable": true}, "property": "y", "variableId": 1014759}], "entityType": "technology", "isPublished": false, "entityTypePlural": "technologies", "excludedEntityNames": ["Nuclear", "Geothermal"], "selectedEntityNames": ["Coal", "Gas combined cycle", "Gas peaking", "Onshore wind", "Solar photovoltaic"], "hideAnnotationFieldsInTitle": {"time": true}} |
levelized-cost-of-energy-by-technology | LineChart | How did the price of electricity from new power plants change over the last 15 years? | Data reflects unsubsidized costs, expressed in constant 2023 US$. | False | ||||
5206 | 5206 | 8523 | 01953cf8-e170-7b5d-a6a4-f87335fd6b0d | True | 2025-02-25 11:58:18 | 2025-03-04 10:00:50 | 2025-03-04 10:00:50 | 2025-03-04 09:56:07 | 54 | 54 | True | {"id": 8523, "map": {"colorScale": {}, "columnSlug": "1013638"}, "slug": "diphtheria-cases-in-the-united-states", "title": "Diphtheria cases in the United States", "yAxis": {"min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 5, "subtitle": "Reported number of [diphtheria](#dod:diphtheria) cases. Diphtheria is a vaccine-preventable infectious disease.", "originUrl": "https://ourworldindata.org/vaccination", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"unit": "cases", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1013638}], "isPublished": true, "selectedEntityNames": ["United States"], "hideAnnotationFieldsInTitle": {"entity": true}} |
diphtheria-cases-in-the-united-states | LineChart | Diphtheria cases in the United States | Reported number of [diphtheria](#dod:diphtheria) cases. Diphtheria is a vaccine-preventable infectious disease. | True | ||
5205 | 5205 | 8522 | 01953cd2-a198-7c87-a216-bd34082b46ee | True | 2025-02-25 11:16:31 | 2025-03-04 14:20:58 | 2025-03-04 14:20:58 | 2025-03-04 14:20:58 | 54 | 54 | False | {"id": 8522, "slug": "diphtheria-deaths", "title": "Diphtheria deaths in the United States", "yAxis": {"canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 5, "originUrl": "https://ourworldindata.org/vaccination", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"property": "y", "variableId": 1014786}], "isPublished": true, "selectedEntityNames": ["United States"]} |
diphtheria-deaths | LineChart | Diphtheria deaths in the United States | True | |||
5204 | 5204 | 8521 | 01953c4c-847c-7a8f-8225-2bf092a8d90e | True | 2025-02-25 08:50:02 | 2025-02-25 08:50:02 | 62 | False | {"id": 8521, "note": "All countries for which comparable surveys within five years of each reference year were available are shown.", "slug": "gini-coefficient-vs-gini-coefficient", "title": "Inequality in 1993 vs. 2019", "xAxis": {"max": 0.7, "min": 0.2}, "yAxis": {"max": 0.7, "min": 0.2}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 6, "subtitle": "The [Gini coefficient](#dod:gini) measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Depending on the country, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"tolerance": 100, "includeInTable": true}, "property": "y", "variableId": 1013621}, {"display": {"tolerance": 100, "includeInTable": true}, "property": "x", "variableId": 1013618}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": false, "hideTimeline": true, "comparisonLines": [{"label": "1:1", "yEquals": "x"}], "hideAnnotationFieldsInTitle": {"time": true}} |
gini-coefficient-vs-gini-coefficient | ScatterPlot | Inequality in 1993 vs. 2019 | The [Gini coefficient](#dod:gini) measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Depending on the country, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). | All countries for which comparable surveys within five years of each reference year were available are shown. | False | ||||
5203 | 5203 | 8520 | 019528eb-3987-7a3f-9501-911cce7beca2 | False | 2025-02-21 14:30:59 | 2025-02-21 14:30:59 | 54 | False | {"id": 8520, "map": {"colorScale": {}, "columnSlug": "686374"}, "slug": "wellcome-global-monitor-share-vaccines-safe-vs-vcp-share-vaccines-safe", "title": "Wellcome Global Monitor (share vaccines safe) vs. VCP (share vaccines safe)", "xAxis": {"min": 20}, "yAxis": {"min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2018, "minTime": 2018, "version": 1, "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Wellcome Global Monitor (share vaccines safe)", "unit": "%", "shortUnit": "%", "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 686374}, {"display": {"name": "VCP (share vaccines safe)", "unit": "%", "includeInTable": true}, "property": "x", "variableId": 1010326}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": false, "hideTimeline": true} |
wellcome-global-monitor-share-vaccines-safe-vs-vcp-share-vaccines-safe | ScatterPlot | Wellcome Global Monitor (share vaccines safe) vs. VCP (share vaccines safe) | False | ||||||
5202 | 5202 | 8517 | 01952334-19bd-70df-a07d-d5f2495b6bb7 | True | 2025-02-20 11:52:51 | 2025-04-07 13:24:04 | 2025-04-07 13:24:04 | 46 | False | {"id": 8517, "map": {"colorScale": {"baseColorScheme": "Reds", "binningStrategy": "manual", "customNumericValues": [100000, 300000, 1000000, 3000000, 10000000, 30000000, 100000000, 300000000, 1000000000]}}, "tab": "chart", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "number-of-people-living-in-extreme-poverty", "title": "Number of people living in extreme poverty", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 4, "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 the cost of living between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/poverty", "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"tolerance": 7, "includeInTable": true}, "property": "y", "variableId": 990286}], "isPublished": false, "variantName": "Line chart", "selectedEntityNames": ["India", "Democratic Republic of Congo", "Nigeria", "Ethiopia", "Tanzania", "Mozambique", "Kenya", "Madagascar", "Uganda", "Malawi", "Niger", "World"]} |
number-of-people-living-in-extreme-poverty | DiscreteBar | Number of people living in extreme poverty | Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in the cost of living between countries. | This data is expressed in [international-$](#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). | Number of people living in extreme poverty (Line chart) | False | ||
5201 | 5201 | 8516 | 019522fe-16c0-7cb9-a814-b0493ee45111 | False | 2025-02-20 10:53:52 | 2025-02-20 12:16:21 | 2025-02-20 12:16:21 | 51 | False | {"id": 8516, "map": {"colorScale": {}, "columnSlug": "1012621"}, "note": "", "slug": "democratic-elections", "title": "Democratic elections", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 8, "subtitle": "Share of all countries worldwide that had a given democratic institution in 2022.", "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"name": "Universal right to vote", "unit": "%", "includeInTable": true}, "property": "y", "variableId": 1012623}, {"display": {"name": "Parliament and government elected", "unit": "%", "shortUnit": "%", "includeInTable": true}, "property": "y", "variableId": 1012621}, {"display": {"name": "Multi-party elections", "unit": "%", "shortUnit": "%%", "includeInTable": true}, "property": "y", "variableId": 1012622}, {"display": {"name": "Competitive elections", "unit": "%", "includeInTable": true}, "property": "y", "variableId": 1012624}, {"display": {"name": "Free expression and association", "unit": "%", "includeInTable": true}, "property": "y", "variableId": 1012625}, {"display": {"name": "All of the above", "unit": "%", "includeInTable": true}, "property": "y", "variableId": 901179}], "sourceDesc": "Skaaning et al. (2023)", "isPublished": false, "internalNotes": "Rough draft for a DI", "addCountryMode": "change-country", "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
democratic-elections | DiscreteBar | Democratic elections | Share of all countries worldwide that had a given democratic institution in 2022. | False | ||||
5200 | 5200 | 8515 | 019522b9-2b12-71cc-8645-6bd127fcdd21 | True | 2025-02-20 09:38:35 | 2025-03-11 10:18:48 | 2025-03-11 10:18:48 | 2025-02-20 14:58:33 | 54 | 54 | True | {"id": 8515, "map": {"colorScale": {}, "columnSlug": "1012620"}, "slug": "number-of-measles-cases", "title": "Measles cases in the United States", "yAxis": {"min": 1, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 9, "originUrl": "https://ourworldindata.org/vaccination", "dimensions": [{"display": {"unit": "cases", "includeInTable": true, "entityAnnotationsMap": "United States: Data for 2025 is incomplete"}, "property": "y", "variableId": 1012620}], "isPublished": true, "internalNotes": "Automatically updated. The subtitle should only be edited in the ETL; otherwise, it won't update correctly.", "selectedEntityNames": ["United States"]} |
number-of-measles-cases | LineChart | Measles cases in the United States | True | |||
5199 | 5199 | 8514 | 01951f43-13ec-7612-890e-34d45a4314e4 | False | 2025-02-19 17:30:44 | 2025-03-19 12:15:17 | 2025-03-19 12:15:17 | 2025-02-19 17:30:46 | 62 | 62 | True | {"id": 8514, "note": "This data is expressed in constant 2022 US$.", "slug": "foreign-aid-given-to-donor-countries", "title": "Foreign aid spent domestically within donor countries", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 16, "subtitle": "[Net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) that stays in donor countries. This data is expressed in US dollars and adjusted for inflation.", "originUrl": "https://ourworldindata.org/foreign-aid", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "Development awareness", "color": "#00295b", "includeInTable": true}, "property": "y", "variableId": 1012538}, {"display": {"name": "Scholarships and student costs in donor countries", "color": "#be986d", "includeInTable": true}, "property": "y", "variableId": 1012532}, {"display": {"name": "Administrative costs", "color": "#18470f", "includeInTable": true}, "property": "y", "variableId": 1012534}, {"display": {"name": "Refugees in donor countries", "color": "#607ba8", "includeInTable": true}, "property": "y", "variableId": 1012539}], "entityType": "donor", "isPublished": true, "addCountryMode": "change-country", "baseColorScheme": "OwidCategoricalC", "entityTypePlural": "donors", "selectedEntityNames": ["DAC countries"], "hideAnnotationFieldsInTitle": {"time": true}} |
foreign-aid-given-to-donor-countries | StackedBar | Foreign aid spent domestically within donor countries | [Net](#dod:net-oda) [official development assistance (ODA)](#dod:oda) that stays in donor countries. This data is expressed in US dollars and adjusted for inflation. | This data is expressed in constant 2022 US$. | True | |
5198 | 5198 | 8513 | 019513a2-95a3-7ede-b662-ed7b268c7f7d | True | 2025-02-17 11:19:37 | 2025-02-17 14:05:48 | 2025-02-17 14:05:48 | 54 | False | {"id": 8513, "map": {"colorScale": {}, "columnSlug": "1007239"}, "note": "Not all countries report data on vaccine supplies. The data presented here is based on the countries that do report data.", "slug": "how-many-countries-had-limited-stocks-of-any-vaccine", "title": "How many countries had limited stocks of any vaccine?", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "Number of countries where the stock levels of a specific vaccine become exhausted or fall below the recommended three-month buffer stock.", "dimensions": [{"display": {"unit": "countries", "includeInTable": true}, "property": "y", "variableId": 1007239}], "isPublished": false, "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true}} |
how-many-countries-had-limited-stocks-of-any-vaccine | LineChart | How many countries had limited stocks of any vaccine? | Number of countries where the stock levels of a specific vaccine become exhausted or fall below the recommended three-month buffer stock. | Not all countries report data on vaccine supplies. The data presented here is based on the countries that do report data. | False | |||
5197 | 5197 | 8512 | 01950aa8-fa2f-72f8-b784-3e7b3f3a56c9 | True | 2025-02-15 17:30:01 | 2025-03-06 10:31:13 | 2025-03-06 10:31:13 | 62 | False | {"id": 8512, "note": "This metric includes social as well as compulsory health insurance.", "slug": "the-share-of-gdp-allocated-to-government-health-spending-is-growing", "title": "The share of GDP allocated to government health spending is growing", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1990, "version": 3, "subtitle": "Government health expenditure as a share of GDP, 1990 to 2020", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"roundingMode": "significantFigures", "numSignificantFigures": 2}, "property": "y", "variableId": 1014798}], "sourceDesc": "OWID based on Lindert (1994), OECD (1993)", "isPublished": false, "selectedEntityNames": ["Japan", "Germany", "United Kingdom", "United States"], "selectedFacetStrategy": "entity"} |
the-share-of-gdp-allocated-to-government-health-spending-is-growing | LineChart | The share of GDP allocated to government health spending is growing | Government health expenditure as a share of GDP, 1990 to 2020 | This metric includes social as well as compulsory health insurance. | False | |||
5196 | 5196 | 8511 | 019508d0-f8c3-7824-973b-bb1e843c4723 | False | 2025-02-15 08:54:27 | 2025-02-15 09:13:13 | 2025-02-15 09:13:13 | 80 | False | {"id": 8511, "map": {"colorScale": {"baseColorScheme": "YlGnBu", "binningStrategy": "manual", "legendDescription": "Health expenditure per capita (in int.-$)", "customNumericLabels": ["", "", "", "", "", "", "", ""], "customNumericValues": [50, 100, 250, 500, 1000, 2500, 5000, 10000, 25000], "customNumericMinValue": 0}, "timeTolerance": 5}, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "slug": "the-us-spends-far-more-on-health-than-any-other-g7-country", "title": "The US spends far more on health than any other G7 country", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2021, "minTime": 2021, "version": 28, "subtitle": "Public and private annual health expenditure per person, 2021. This data is adjusted for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/financing-healthcare", "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"unit": "international-$ at 2017 prices", "roundingMode": "significantFigures", "includeInTable": true, "numSignificantFigures": 3}, "property": "y", "variableId": 1008740}], "isPublished": false, "selectedEntityNames": ["Sub-Saharan Africa", "United States", "France", "Germany", "Japan", "Canada", "Italy", "United Kingdom"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}} |
the-us-spends-far-more-on-health-than-any-other-g7-country | DiscreteBar | The US spends far more on health than any other G7 country | Public and private annual health expenditure per person, 2021. This data is adjusted for differences in living costs between countries. | This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. | False | |||
5195 | 5195 | 8509 | 01950523-a967-7c01-a7f5-a0fcf8294fad | True | 2025-02-14 15:46:18 | 2025-03-23 10:15:03 | 2025-03-23 10:15:03 | 2025-02-14 16:14:02 | 72 | 72 | True | {"id": 8509, "map": {"colorScale": {"baseColorScheme": "RdBu", "binningStrategy": "manual", "colorSchemeInvert": true, "customNumericValues": [-2, -1, 0, 1, 2, 3], "customNumericMinValue": -4}, "columnSlug": "1005199"}, "slug": "global-temperature-anomalies-by-el-nino-la-nina", "title": "Global temperature anomalies by El Niño and La Niña conditions", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": -25570, "version": 40, "subtitle": "The difference between a month's average land-sea surface temperature and the 1991–2020 average of the same month, measured in degrees Celsius. It is classified as [El Niño](#dod:el-nino) or [La Niña](#dod:la-nina) based on the Oceanic Niño Index, which tracks warming or cooling patterns in the central Pacific Ocean.", "originUrl": "ourworldindata.org/climate-change", "colorScale": {"baseColorScheme": "OwidCategoricalB", "binningStrategy": "manual", "legendDescription": "", "customNumericColors": ["#023858", "#3690c0", "#e0dede", "#f4a582", "#b2182b"], "customNumericLabels": ["Strong La Niña", "La Niña", "Neutral", "El Niño", "Strong El Niño", "Strong El Niño"], "customNumericValues": [-1, -0.51, 0.51, 1, 3], "customNumericMinValue": -2, "customNumericColorsActive": true}, "dimensions": [{"display": {"unit": "°C", "zeroDay": "1949-01-01", "shortUnit": "°C", "yearIsDay": true, "isProjection": false, "includeInTable": true, "plotMarkersOnlyInLineChart": false}, "property": "y", "variableId": 1005199}, {"property": "color", "variableId": 1010332}], "isPublished": true, "addCountryMode": "disabled", "timelineMinTime": -25570, "selectedEntityNames": ["World"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true}} |
global-temperature-anomalies-by-el-nino-la-nina | LineChart | Global temperature anomalies by El Niño and La Niña conditions | The difference between a month's average land-sea surface temperature and the 1991–2020 average of the same month, measured in degrees Celsius. It is classified as [El Niño](#dod:el-nino) or [La Niña](#dod:la-nina) based on the Oceanic Niño Index, which tracks warming or cooling patterns in the central Pacific Ocean. | True | ||
5194 | 5194 | 8508 | 01950523-a857-72c1-b551-5798724bbf72 | True | 2025-02-14 15:46:17 | 2025-03-23 10:14:47 | 2025-03-23 10:14:47 | 2025-02-14 16:13:28 | 72 | 72 | True | {"id": 8508, "slug": "global-temperature-anomalies-by-el-nino-la-nina-and-month", "title": "Global temperature anomalies by El Niño and La Niña and month", "yAxis": {"facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 38, "subtitle": "The difference between a month's average land-sea surface temperature and the 1991–2020 average of the same month, measured in degrees Celsius. It is classified as [El Niño](#dod:el-nino) or [La Niña](#dod:la-nina) based on the Oceanic Niño Index, which tracks warming or cooling patterns in the central Pacific Ocean.", "originUrl": "https://ourworldindata.org/climate-change", "colorScale": {"binningStrategy": "manual", "customNumericColors": ["#023858", "#3690c0", "#e0dede", "#f4a582", "#b2182b"], "customNumericLabels": ["Strong La Niña", "La Niña", "Neutral", "El Niño", "Strong El Niño"], "customNumericValues": [-1, -0.5, 0.5, 1, 2], "customHiddenCategories": {"No data": true}, "customNumericColorsActive": true}, "dimensions": [{"display": {"unit": "°C", "shortUnit": "°C", "isProjection": false, "includeInTable": true, "plotMarkersOnlyInLineChart": true}, "property": "y", "variableId": 1005184}, {"property": "color", "variableId": 1010330}], "entityType": "month", "isPublished": true, "timelineMinTime": 1950, "entityTypePlural": "months", "selectedEntityNames": ["January", "February", "March", "April", "May", "June"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true}} |
global-temperature-anomalies-by-el-nino-la-nina-and-month | LineChart | Global temperature anomalies by El Niño and La Niña and month | The difference between a month's average land-sea surface temperature and the 1991–2020 average of the same month, measured in degrees Celsius. It is classified as [El Niño](#dod:el-nino) or [La Niña](#dod:la-nina) based on the Oceanic Niño Index, which tracks warming or cooling patterns in the central Pacific Ocean. | True | ||
5193 | 5193 | 8507 | 01950469-acb4-7d72-a6ed-3f13371e48be | True | 2025-02-14 12:23:09 | 2025-02-14 12:23:37 | 2025-02-14 12:23:37 | 2025-02-14 12:23:38 | 54 | 54 | False | {"id": 8507, "map": {"colorScale": {"baseColorScheme": "YlGnBu", "binningStrategy": "manual", "customNumericValues": [60, 70, 80, 90, 100], "customNumericMinValue": 50}, "columnSlug": "1010328", "timeTolerance": 3}, "tab": "map", "slug": "share-who-agree-vaccines-are-effective", "title": "Share who agree vaccines are effective", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "hasMapTab": true, "stackMode": "relative", "chartTypes": ["Marimekko"], "dimensions": [{"display": {"unit": "%", "shortUnit": "%", "tolerance": 3, "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1010328}, {"property": "color", "variableId": 900801}], "isPublished": true, "hideRelativeToggle": false} |
share-who-agree-vaccines-are-effective | Marimekko | Share who agree vaccines are effective | True | |||
5192 | 5192 | 8506 | 0195043b-1796-7eeb-b87a-e901076d7ab8 | True | 2025-02-14 11:32:16 | 2025-04-02 18:00:22 | 2025-04-02 18:00:22 | 62 | False | {"id": 8506, "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2000, "version": 4, "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"roundingMode": "significantFigures", "numSignificantFigures": 2}, "property": "y", "variableId": 1025229}], "isPublished": false, "selectedEntityNames": ["China"]} |
LineChart | False | |||||||
5191 | 5191 | 8505 | 0195043a-db2d-7fb5-b005-544990439b27 | True | 2025-02-14 11:32:00 | 2025-04-02 18:00:22 | 2025-04-02 18:00:22 | 62 | False | {"id": 8505, "slug": "government-expenditure-of-gdp", "title": "Government spending in nine rich countries: three grew, three stable, three shrank", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1980, "version": 5, "subtitle": "Government expenditure as a share of GDP, including interest expense.", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"roundingMode": "significantFigures", "numSignificantFigures": 2}, "property": "y", "variableId": 1025229}], "isPublished": false, "selectedEntityNames": ["France", "Italy", "Spain", "Germany", "United Kingdom", "United States", "Denmark", "Netherlands", "Norway"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true}} |
government-expenditure-of-gdp | LineChart | Government spending in nine rich countries: three grew, three stable, three shrank | Government expenditure as a share of GDP, including interest expense. | False | ||||
5190 | 5190 | 8504 | 0194f976-281e-7e01-a238-58ddf125a9af | False | 2025-02-12 09:20:57 | 2025-02-12 10:05:22 | 2025-02-12 10:05:22 | 51 | False | {"id": 8504, "map": {"colorScale": {"baseColorScheme": "Blues", "binningStrategy": "manual", "customNumericColors": [null, null, null], "customNumericValues": [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}}, "note": "", "slug": "share-of-people-who-trust-their-national-government", "title": "Share of people who trust their national government", "yAxis": {"max": 100, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 31, "subtitle": "Share of survey respondents who answered \"a great deal\" or \"quite a lot of\" confidence.", "hasMapTab": true, "originUrl": "ourworldindata.org/trust", "dimensions": [{"display": {"name": "Government", "includeInTable": true}, "property": "y", "variableId": 816772}], "isPublished": false, "selectedEntityNames": ["Switzerland", "United States", "China", "Ethiopia", "Mexico", "Germany", "United Kingdom", "France"], "hideAnnotationFieldsInTitle": {"time": true}} |
share-of-people-who-trust-their-national-government | LineChart | Share of people who trust their national government | Share of survey respondents who answered "a great deal" or "quite a lot of" confidence. | False | ||||
5189 | 5189 | 8503 | 0194f609-eea8-7601-a671-83cafb3d9e37 | True | 2025-02-11 17:23:53 | 2025-02-11 17:23:54 | 54 | False | {"id": 8503, "map": {"colorScale": {"customCategoryColors": {"Not eligible": "#f2e9e4", "Initial self-financing": "#e31a1c", "Accelerated transition phase": "#ffffb2", "Preparatory transition phase": "#fd8d3c"}, "customNumericColorsActive": true}, "columnSlug": "1010321"}, "tab": "map", "note": "Gavi provides phased co-financing support for vaccines to countries below set income thresholds. In the 'initial self-financing' phase, Gavi provides 80% of the cost to countries with a Gross National Income (GNI) per capita less than US$1,135. While GNI per capita is between $1,135 and $1,810, countries are in the 'Preparatory transition' phase, and their governments are expected to increase their contribution by 15% per year. Finally, when countries incomes are above $1,180, they enter the 'accelerated transition' phase, where they have eight years to become fully self-financing.", "slug": "phase-of-vaccine-eligibility", "title": "Phase of vaccine eligibility", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "Phased support is given to countries with GNI per capita equal to or below US$1,810, calculated using the World Bank Atlas Method, over the past three years.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/vaccination", "dimensions": [{"property": "y", "variableId": 1010321}], "isPublished": false} |
phase-of-vaccine-eligibility | LineChart | Phase of vaccine eligibility | Phased support is given to countries with GNI per capita equal to or below US$1,810, calculated using the World Bank Atlas Method, over the past three years. | Gavi provides phased co-financing support for vaccines to countries below set income thresholds. In the 'initial self-financing' phase, Gavi provides 80% of the cost to countries with a Gross National Income (GNI) per capita less than US$1,135. While GNI per capita is between $1,135 and $1,810, countries are in the 'Preparatory transition' phase, and their governments are expected to increase their contribution by 15% per year. Finally, when countries incomes are above $1,180, they enter the 'accelerated transition' phase, where they have eight years to become fully self-financing. | False | ||||
5188 | 5188 | 8501 | 0194f4bc-b8f6-729a-8278-f64a7936a7a9 | True | 2025-02-11 11:19:56 | 2025-02-11 11:19:56 | 50 | False | {"id": 8501, "map": {"colorScale": {"customCategoryColors": {"No": "#f4a582", "Yes": "#92c5de", "Not known": "#9a5129"}, "customNumericColorsActive": true}, "columnSlug": "1010312"}, "tab": "map", "slug": "national-system-to-monitor-vaccine-adverse-events", "title": "National system to monitor vaccine adverse events", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "hasMapTab": true, "dimensions": [{"display": {"includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1010312}], "isPublished": false} |
national-system-to-monitor-vaccine-adverse-events | LineChart | National system to monitor vaccine adverse events | False | ||||||
5187 | 5187 | 8500 | 0194f0fd-1fca-740d-802a-6ac2aa7ccaef | False | 2025-02-10 17:51:48 | 2025-02-12 13:26:03 | 2025-02-12 13:26:03 | 62 | False | {"id": 8500, "slug": "gdp-per-capita-vs-gdp-per-capita-adjusted-for-inflation-from-current-us", "title": "GDP per capita: 2021 constant US$ vs. 2021 international-$", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": "auto", "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 9, "subtitle": "", "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 1008370}, {"property": "x", "variableId": 1010212}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": false, "comparisonLines": [{"label": "1:1", "yEquals": "x"}], "selectedEntityNames": ["Brazil", "India", "United States", "Burkina Faso", "Spain"], "matchingEntitiesOnly": true} |
gdp-per-capita-vs-gdp-per-capita-adjusted-for-inflation-from-current-us | ScatterPlot | GDP per capita: 2021 constant US$ vs. 2021 international-$ | False | |||||
5186 | 5186 | 8499 | 0194f089-7854-749e-a769-b7f22aa294c0 | True | 2025-02-10 15:45:28 | 2025-02-12 11:44:37 | 2025-02-12 11:44:37 | 2025-02-12 11:44:38 | 80 | 80 | True | {"id": 8499, "map": {"colorScale": {"baseColorScheme": "PuRd", "binningStrategy": "manual", "customNumericColors": [null], "customNumericValues": [5, 10, 15, 20, 25, 30]}, "columnSlug": "1008371"}, "tab": "map", "slug": "oil-rents-as-a-share-of-gdp", "title": "Oil rents as a share of GDP", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 6, "subtitle": "Economic profits generated from oil extraction, measured as the difference between production value and costs, expressed as a percentage of [gross domestic product](#dod:gdp).", "hasMapTab": true, "originUrl": "https://ourworldindata.org/energy", "dimensions": [{"display": {"unit": "% of GDP", "shortUnit": "%", "roundingMode": "significantFigures", "includeInTable": true, "numSignificantFigures": 2}, "property": "y", "variableId": 1008371}], "isPublished": true, "selectedEntityNames": ["Libya", "Congo", "Norway", "Saudi Arabia", "United States"]} |
oil-rents-as-a-share-of-gdp | LineChart | Oil rents as a share of GDP | Economic profits generated from oil extraction, measured as the difference between production value and costs, expressed as a percentage of [gross domestic product](#dod:gdp). | True | ||
5185 | 5185 | 8498 | 0194f089-70fe-77cb-9c50-06973e200df8 | True | 2025-02-10 15:45:26 | 2025-02-10 15:45:27 | 80 | False | {"id": 8498, "map": {"colorScale": {"binningStrategy": "equalInterval"}, "columnSlug": "1008371"}, "tab": "map", "slug": "oil-rents-as-a-share-of-gdp", "title": "Oil rents as a share of GDP", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 1, "subtitle": "Oil profits after costs divided by Gross Domestic Product (GDP)", "hasMapTab": true, "dimensions": [{"display": {"unit": "% of GDP", "shortUnit": "%", "includeInTable": true}, "property": "y", "variableId": 1008371}], "sourceDesc": "World Bank (2025)", "isPublished": false} |
oil-rents-as-a-share-of-gdp | LineChart | Oil rents as a share of GDP | Oil profits after costs divided by Gross Domestic Product (GDP) | False | |||||
5184 | 5184 | 8497 | 0194efe4-25d0-784e-92fc-923b70428e29 | True | 2025-02-10 12:44:54 | 2025-03-12 21:52:34 | 2025-03-12 21:52:34 | 2025-02-10 12:56:25 | 50 | 50 | True | {"id": 8497, "map": {"time": 2010, "colorScale": {"baseColorScheme": "BuPu", "binningStrategy": "manual", "customNumericValues": [2.2, 2.4, 2.6, 2.8, 3, 3.2, 3.4, 3.6], "customNumericMinValue": 2}, "columnSlug": "1010209"}, "note": "Estimates are given for each decade, with the first year labeled.", "slug": "replacement-fertility-rate", "title": "Replacement-level fertility rate", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 9, "subtitle": "The replacement-level fertility rate (the [total fertility rate](#dod:fertility-rate) needed to keep the population size stable over time, without migration) is commonly stated to be 2.1. But the level can vary based on the sex ratio, child mortality rates, and other factors.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/fertility", "dimensions": [{"display": {"includeInTable": true, "numDecimalPlaces": 2}, "property": "y", "variableId": 1010209}], "isPublished": true, "selectedEntityNames": ["India", "Finland", "Kenya", "Sudan", "Japan", "Brazil", "Australia", "United States"], "hideAnnotationFieldsInTitle": {"time": true}} |
replacement-fertility-rate | LineChart | Replacement-level fertility rate | The replacement-level fertility rate (the [total fertility rate](#dod:fertility-rate) needed to keep the population size stable over time, without migration) is commonly stated to be 2.1. But the level can vary based on the sex ratio, child mortality rates, and other factors. | Estimates are given for each decade, with the first year labeled. | True | |
5183 | 5183 | 8495 | 0194ec1c-a4ac-724a-ba26-dfbedde22ea3 | False | 2025-02-09 19:08:07 | 2025-02-09 19:17:44 | 2025-02-09 19:17:44 | 80 | True | {"id": 8495, "note": "", "slug": "people-in-many-countries-are-pessimistic-about-housing", "title": "People in many countries are pessimistic about housing", "sortBy": "column", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 4, "subtitle": "\"In general, do you think that your country is on the right track or the wrong track when it comes to housing?\"", "stackMode": "relative", "chartTypes": ["StackedDiscreteBar"], "dimensions": [{"display": {"color": "#883039", "includeInTable": true}, "property": "y", "variableId": 1010206}, {"display": {"color": "#58ac8c", "includeInTable": true}, "property": "y", "variableId": 1010207}, {"display": {"color": "#6d3e91", "includeInTable": true}, "property": "y", "variableId": 1010208}], "isPublished": false, "sortColumnSlug": "1010206", "hideRelativeToggle": false, "selectedEntityNames": ["Chile", "Brazil", "Mexico", "United States", "Turkey", "Thailand", "Spain", "Sweden", "South Korea", "Singapore", "South Africa", "Poland", "Peru", "New Zealand", "Netherlands", "Malaysia", "Italy", "Japan", "Ireland", "India", "Indonesia", "Hungary", "Great Britain", "Germany", "France", "Colombia", "Canada", "Belgium", "Australia", "Argentina"]} |
people-in-many-countries-are-pessimistic-about-housing | StackedDiscreteBar | People in many countries are pessimistic about housing | "In general, do you think that your country is on the right track or the wrong track when it comes to housing?" | False | ||||
5182 | 5182 | 8494 | 0194e0b7-0be6-7e61-8287-930caddc4af1 | True | 2025-02-07 14:01:20 | 2025-02-17 13:48:39 | 2025-02-17 13:48:39 | 62 | False | {"id": 8494, "slug": "these-nine-african-economies-depend-heavily-on-oil-rents", "title": "These nine African economies depend heavily on oil rents", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "Oil profits after costs as a share of GDP, 2021.", "chartTypes": ["DiscreteBar"], "dimensions": [{"property": "y", "variableId": 1008371}], "isPublished": false, "selectedEntityNames": ["Libya", "Congo", "Angola", "Gabon", "Equatorial Guinea", "Algeria", "Nigeria", "Ghana", "Chad"]} |
these-nine-african-economies-depend-heavily-on-oil-rents | DiscreteBar | These nine African economies depend heavily on oil rents | Oil profits after costs as a share of GDP, 2021. | False | ||||
5181 | 5181 | 8493 | 0194e0b7-06cc-7846-8132-7bc40dec7068 | True | 2025-02-07 14:01:18 | 2025-02-17 13:48:24 | 2025-02-17 13:48:24 | 62 | True | {"id": 8493, "slug": "these-nine-african-countries-rely-heavily-on-oil-for-their-economies", "title": "These nine African economies depend heavily on oil rents", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 4, "subtitle": "Oil profits after costs as a share of GDP, 2021.", "chartTypes": ["DiscreteBar"], "dimensions": [{"property": "y", "variableId": 1008371}], "isPublished": false, "selectedEntityNames": ["Libya", "Congo", "Angola", "Gabon", "Equatorial Guinea", "Algeria", "Nigeria", "Ghana", "Chad"]} |
these-nine-african-countries-rely-heavily-on-oil-for-their-economies | DiscreteBar | These nine African economies depend heavily on oil rents | Oil profits after costs as a share of GDP, 2021. | False | ||||
5180 | 5180 | 8490 | 0194dfe3-546c-7888-9b4e-4771808b1729 | False | 2025-02-07 10:10:05 | 2025-02-07 10:19:43 | 2025-02-07 10:19:43 | 72 | False | {"id": 8490, "map": {"colorScale": {"baseColorScheme": "YlGnBu", "binningStrategy": "equalInterval"}, "timeTolerance": 20}, "slug": "marriage-and-divorce-rates", "title": "Marriage and divorce rates", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2019, "minTime": 1990, "version": 21, "originUrl": "ourworldindata.org/marriages-and-divorces", "chartTypes": ["SlopeChart"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Marriage rate", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1009222}, {"display": {"name": "Divorce rate", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1009221}], "isPublished": false, "hideRelativeToggle": false, "selectedEntityNames": ["United States", "Cyprus", "France", "South Korea"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}} |
marriage-and-divorce-rates | SlopeChart | Marriage and divorce rates | False | |||||
5179 | 5179 | 8484 | 0194d5a7-a60e-7a7e-b6f6-9422cebb4a73 | True | 2025-02-05 10:28:41 | 2025-02-05 10:28:42 | 14 | False | {"id": 8484, "map": {"colorScale": {}, "columnSlug": "1009224"}, "slug": "foreign-aid-given-by-governments-and-private-donors", "title": "Foreign aid given by governments and private donors", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 1, "stackMode": "relative", "chartTypes": ["Marimekko"], "dimensions": [{"display": {"unit": "$", "shortUnit": "$", "includeInTable": true}, "property": "y", "variableId": 1009224}, {"property": "color", "variableId": 1009223}], "isPublished": false, "hideRelativeToggle": false, "excludedEntityNames": ["John D. and Catherine T. MacArthur Foundation"]} |
foreign-aid-given-by-governments-and-private-donors | Marimekko | Foreign aid given by governments and private donors | False | ||||||
5178 | 5178 | 8483 | 0194d149-b5a5-746d-b2e8-a988f147b981 | True | 2025-02-04 14:07:36 | 2025-02-16 08:15:00 | 2025-02-16 08:15:00 | 81 | False | {"id": 8483, "map": {"colorScale": {}, "columnSlug": "1009220"}, "note": "Data in international-$ at 2017 prices. This data is adjusted for inflation and for differences in living costs between countries.", "slug": "number-of-people-in-households-with-an-income-per-person-below-365-a-day", "title": "Three countries are home to 59% of people living in poverty in Latin America", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 5, "subtitle": "Number of people (in millions) living with less than $3.65 a day in 2023.", "chartTypes": ["DiscreteBar"], "dimensions": [{"display": {"unit": "people", "includeInTable": true}, "property": "y", "variableId": 1009220}], "isPublished": false, "selectedEntityNames": ["Bolivia", "Dominican Republic", "Paraguay", "Venezuela", "Argentina", "Brazil", "Chile", "Colombia", "Costa Rica", "Ecuador", "El Salvador", "Guatemala", "Guyana", "Honduras", "Mexico", "Panama", "Peru", "Uruguay"], "hideAnnotationFieldsInTitle": {"time": true}} |
number-of-people-in-households-with-an-income-per-person-below-365-a-day | DiscreteBar | Three countries are home to 59% of people living in poverty in Latin America | Number of people (in millions) living with less than $3.65 a day in 2023. | Data in international-$ at 2017 prices. This data is adjusted for inflation and for differences in living costs between countries. | False | |||
5177 | 5177 | 8482 | 0194ca8c-0034-7502-8c23-e22ca7734ff8 | False | 2025-02-03 06:42:40 | 2025-02-25 14:07:20 | 2025-02-25 14:07:20 | 2025-02-03 06:45:41 | 58 | 14 | True | {"id": 8482, "map": {"colorScale": {}, "columnSlug": "1009210"}, "note": "Road miles are for Great Britain, which is the United Kingdom minus Northern Ireland.", "slug": "road-miles-nox-emissions", "title": "Road miles and NOₓ emissions from transport in the United Kingdom", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1952, "version": 3, "subtitle": "Road miles are measured in passenger-kilometers, which is the number of miles traveled in cars, vans, buses and motorcycles. Nitrogen oxide (NOₓ) emissions are damaging to human health, and transport is a dominant source in towns and cities.", "originUrl": "ourworldindata.org/air-pollution", "stackMode": "relative", "dimensions": [{"display": {"unit": "passenger kilometers", "shortUnit": "p-km", "includeInTable": true, "conversionFactor": 1000000000}, "property": "y", "variableId": 1009210}, {"display": {"name": "NOₓ emissions", "includeInTable": true}, "property": "y", "variableId": 1013688}], "isPublished": true, "addCountryMode": "change-country", "timelineMinTime": 1952, "hideRelativeToggle": false, "selectedEntityNames": ["United Kingdom"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
road-miles-nox-emissions | LineChart | Road miles and NOₓ emissions from transport in the United Kingdom | Road miles are measured in passenger-kilometers, which is the number of miles traveled in cars, vans, buses and motorcycles. Nitrogen oxide (NOₓ) emissions are damaging to human health, and transport is a dominant source in towns and cities. | Road miles are for Great Britain, which is the United Kingdom minus Northern Ireland. | True | |
5176 | 5176 | 8481 | 0194c7f7-17e4-70cf-a8a2-0cada88268f8 | True | 2025-02-02 18:40:47 | 2025-02-02 18:41:02 | 2025-02-02 18:41:02 | 80 | True | {"id": 8481, "slug": "nine-asian-countries-where-child-mortality-has-dropped-by-over-50-since-2000", "title": "Nine Asian countries where child mortality has dropped by over 50% since 2000", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 2000, "version": 3, "subtitle": "The estimated share of newborns who die before reaching the age of five.", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"display": {"roundingMode": "significantFigures", "includeInTable": true, "numSignificantFigures": 2}, "property": "y", "variableId": 988392}], "isPublished": false, "selectedEntityNames": ["Afghanistan", "Cambodia", "Laos", "Bangladesh", "Nepal", "India", "Myanmar", "Indonesia", "China"], "selectedFacetStrategy": "entity", "hideAnnotationFieldsInTitle": {"time": true}} |
nine-asian-countries-where-child-mortality-has-dropped-by-over-50-since-2000 | LineChart | Nine Asian countries where child mortality has dropped by over 50% since 2000 | The estimated share of newborns who die before reaching the age of five. | False | ||||
5175 | 5175 | 8480 | 0194bbf9-c90d-73b7-93be-c53b9b285fcf | False | 2025-01-31 10:48:16 | 2025-01-31 10:49:10 | 2025-01-31 10:49:10 | 62 | False | {"id": 8480, "slug": "gdp-per-capita-2017-vs-2021-prices", "title": "GDP per capita: 2017 vs. 2021 prices", "xAxis": {"min": 0, "canChangeScaleType": true}, "yAxis": {"min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 4, "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 1008370}, {"property": "x", "variableId": 905490}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": false, "comparisonLines": [{"label": "1:1", "yEquals": "x"}], "matchingEntitiesOnly": true} |
gdp-per-capita-2017-vs-2021-prices | ScatterPlot | GDP per capita: 2017 vs. 2021 prices | False | |||||
5174 | 5174 | 8479 | 0194b948-4975-78b5-a4b3-3f6d5efe2374 | True | 2025-01-30 22:15:09 | 2025-01-30 22:18:57 | 2025-01-30 22:18:57 | 80 | False | {"id": 8479, "slug": "the-united-kingdom-declares-higher-aid-costs-per-refugee-than-other-countries", "title": "The United Kingdom declares higher aid costs per refugee than other countries", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "In-donor refugee costs per refugee across DAC countries in 2022 and 2023.", "originUrl": "https://www.cgdev.org/blog/costs-hosting-refugees-oecd-countries-and-why-uk-outlier", "dimensions": [{"display": {"roundingMode": "significantFigures", "includeInTable": true, "numSignificantFigures": 2}, "property": "y", "variableId": 1009202}], "sourceDesc": "Center for Global Development, OECD (2024)", "isPublished": false, "selectedEntityNames": ["Australia", "Canada", "Luxembourg", "United States", "Austria", "Belgium", "Czechia", "Denmark", "Finland", "Estonia", "France", "Greece", "Ireland", "Germany", "Iceland", "Hungary", "Japan", "Italy", "Netherlands", "Lithuania", "Norway", "New Zealand", "Portugal", "Poland", "Slovakia", "Slovenia", "South Korea", "Spain", "Sweden", "Switzerland", "United Kingdom"], "hideAnnotationFieldsInTitle": {"time": true}} |
the-united-kingdom-declares-higher-aid-costs-per-refugee-than-other-countries | LineChart | The United Kingdom declares higher aid costs per refugee than other countries | In-donor refugee costs per refugee across DAC countries in 2022 and 2023. | False | ||||
5173 | 5173 | 8478 | 0194b929-ba02-7b65-9011-2fb81ca87a3a | False | 2025-01-30 21:41:47 | 2025-01-30 21:58:31 | 2025-01-30 21:58:31 | 80 | False | {"id": 8478, "slug": "more-foreign-aid-stays-in-oecd-donor-countries-with-rising-refugee-expenses", "title": "More foreign aid stays in OECD donor countries with rising refugee expenses", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "Official development assistance spent domestically by Development Assistance Committee (DAC) countries, 2018-2023. This data is expressed in 2024 US dollars and adjusted for inflation.", "originUrl": "https://data-explorer.oecd.org/vis?fs%5B0%5D=Topic%2C1%7CDevelopment%23DEV%23%7COfficial%20Development%20Assistance%20%28ODA%29%23DEV_ODA%23&pg=0&fc=Topic&bp=true&snb=20&df%5Bds%5D=dsDisseminateFinalDMZ&df%5Bid%5D=DSD_DAC1%40DF_DAC1&df%5Bag%5D=OECD.DCD.FSD&df%5Bvs%5D=1.2&dq=DAC...1140%2B1160..Q.&lom=LASTNPERIODS&lo=10&to%5BTIME_PERIOD%5D=false", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"unit": "USD billions, current prices", "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1009193}, {"property": "y", "variableId": 1009189}, {"property": "y", "variableId": 1009190}, {"property": "y", "variableId": 1009188}, {"property": "y", "variableId": 1009194}, {"property": "y", "variableId": 1009192}], "sourceDesc": "OECD (2023)", "isPublished": false, "baseColorScheme": "OwidCategoricalC", "selectedEntityNames": ["DAC Countries, Total"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}} |
more-foreign-aid-stays-in-oecd-donor-countries-with-rising-refugee-expenses | StackedBar | More foreign aid stays in OECD donor countries with rising refugee expenses | Official development assistance spent domestically by Development Assistance Committee (DAC) countries, 2018-2023. This data is expressed in 2024 US dollars and adjusted for inflation. | False | ||||
5172 | 5172 | 8476 | 0194b2fe-7e7e-70ad-a9a1-ad6f4a736e91 | False | 2025-01-29 16:56:50 | 2025-02-13 16:22:52 | 2025-02-13 16:22:52 | 2025-02-13 16:22:52 | 72 | 72 | True | {"id": 8476, "map": {"colorScale": {}, "columnSlug": "1007639"}, "slug": "share-of-households-by-type", "title": "Household composition by type", "yAxis": {"min": 0}, "sortBy": "column", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 24, "originUrl": "ourworldindata.org/marriages-and-divorces", "chartTypes": ["StackedDiscreteBar"], "dimensions": [{"display": {"name": "Couple with children", "color": "#00847e", "tolerance": 5, "includeInTable": true, "conversionFactor": 1}, "property": "y", "variableId": 1007642}, {"display": {"name": "Single parent with children", "color": "#38aaba", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1007643}, {"display": {"name": "Couple", "unit": "%", "color": "#00295b", "shortUnit": "%", "tolerance": 5, "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1007639}, {"display": {"name": "One person", "color": "#c15065", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1007640}, {"display": {"name": "Extended family", "color": "#18470f", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1007646}, {"display": {"name": "Non-relatives", "color": "#b13507", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1007647}, {"display": {"name": "Unknown", "color": "#807c7c", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1007648}], "isPublished": true, "sortColumnSlug": "1007642", "missingDataStrategy": "show", "selectedEntityNames": ["United States", "United Kingdom", "Chile", "India", "Brazil", "Nigeria", "Mexico", "South Africa", "Indonesia", "Egypt", "Algeria", "France"]} |
share-of-households-by-type | StackedDiscreteBar | Household composition by type | True | |||
5171 | 5171 | 8474 | 0194b2e8-588b-71f4-9bf5-bcfb790c6333 | False | 2025-01-29 16:32:39 | 2025-03-18 12:18:30 | 2025-03-18 12:18:30 | 2025-02-12 09:37:37 | 51 | 72 | True | {"id": 8474, "map": {"colorScale": {"baseColorScheme": "RdPu", "binningStrategy": "manual", "customNumericColors": [null], "customNumericValues": [50, 60, 70, 80, 90], "customNumericMinValue": 40}, "columnSlug": "1005532"}, "tab": "map", "slug": "share-of-women-aged-1549-who-are-married-or-in-a-union", "title": "Share of women aged 15–49 who are married or in a union", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2024, "version": 19, "subtitle": "Percentage of women who share a household with their partner, whether married, cohabiting, in consensual partnerships, or in other non-marital unions.", "hasMapTab": true, "originUrl": "ourworldindata.org/marriages-and-divorces", "dimensions": [{"display": {"name": "15-49 years old", "unit": "%", "shortUnit": "%", "isProjection": true, "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1005539}, {"display": {"tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1005532}], "isPublished": true, "hideRelativeToggle": false, "selectedEntityNames": ["World", "United States", "South Africa", "Nigeria", "Egypt", "Russia", "Brazil", "China", "India"], "hideAnnotationFieldsInTitle": {"time": true}} |
share-of-women-aged-1549-who-are-married-or-in-a-union | LineChart | Share of women aged 15–49 who are married or in a union | Percentage of women who share a household with their partner, whether married, cohabiting, in consensual partnerships, or in other non-marital unions. | True | ||
5170 | 5170 | 8473 | 0194b2a8-e13a-7b5b-8430-fd6f006f8198 | False | 2025-01-29 15:23:19 | 2025-04-07 10:41:12 | 2025-04-07 10:41:12 | 2025-02-04 09:53:02 | 51 | 51 | True | {"id": 8473, "map": {"colorScale": {}, "columnSlug": "1009179"}, "note": "Famines are plotted by their start date.", "slug": "deaths-from-famines-by-previous-population-growth", "title": "Deaths from famines by previous population growth", "yAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 17, "subtitle": "Deaths in famines that are estimated to have killed 100,000 people or more. Population growth rate in the 20 years preceding the famine.", "originUrl": "https://ourworldindata.org/famines", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"unit": "", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1009179}, {"display": {"name": "Population growth rate in the 20 years preceding the famine", "includeInTable": true}, "property": "x", "variableId": 1009186}, {"property": "color", "variableId": 1009178}], "entityType": "famine", "isPublished": true, "entityTypePlural": "famines", "hideAnnotationFieldsInTitle": {"time": true}} |
deaths-from-famines-by-previous-population-growth | ScatterPlot | Deaths from famines by previous population growth | Deaths in famines that are estimated to have killed 100,000 people or more. Population growth rate in the 20 years preceding the famine. | Famines are plotted by their start date. | True | |
5169 | 5169 | 8472 | 0194b2a8-e036-7c09-abe9-2d2d0d1a4b68 | False | 2025-01-29 15:23:19 | 2025-04-07 10:40:30 | 2025-04-07 10:40:30 | 2025-02-04 09:57:50 | 51 | 51 | True | {"id": 8472, "map": {"colorScale": {}, "columnSlug": "1009173"}, "slug": "deaths-from-famines-by-main-trigger-and-year", "title": "Deaths from famines by main trigger and year", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 15, "subtitle": "Deaths from famines that are estimated to have killed 100,000 people or more. The World Peace Foundation's triggers seek to summarize the established view among scholars.", "originUrl": "https://ourworldindata.org/famines", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "Adverse climate", "unit": "deaths", "color": "#00847e", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1009173}, {"display": {"color": "#6d3e91", "includeInTable": true}, "property": "y", "variableId": 1009175}, {"display": {"color": "#c15065", "includeInTable": true}, "property": "y", "variableId": 1009170}, {"display": {"color": "#286bbb", "includeInTable": true}, "property": "y", "variableId": 1009176}], "entityType": "region", "isPublished": true, "addCountryMode": "change-country", "entityTypePlural": "regions", "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true}} |
deaths-from-famines-by-main-trigger-and-year | StackedBar | Deaths from famines by main trigger and year | Deaths from famines that are estimated to have killed 100,000 people or more. The World Peace Foundation's triggers seek to summarize the established view among scholars. | True | ||
5168 | 5168 | 8471 | 0194b2a8-dc49-7b3c-85aa-1ad75fe36447 | False | 2025-01-29 15:23:18 | 2025-04-07 10:39:58 | 2025-04-07 10:39:58 | 2025-02-04 09:57:54 | 51 | 51 | True | {"id": 8471, "note": "The figures are the sum of famine deaths over each ten-year period (e.g., 1990–1999 for the 1990s). The 2020s figure is provisional and includes data only up to and including 2023.", "slug": "deaths-from-famines-by-main-trigger-and-decade", "title": "Deaths from famines by main trigger and decade", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1870, "version": 24, "subtitle": "Deaths from famines that are estimated to have killed 100,000 people or more. The World Peace Foundation's triggers seek to summarize the established view among scholars.", "originUrl": "https://ourworldindata.org/famines", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"color": "#00847e", "includeInTable": true}, "property": "y", "variableId": 1009167}, {"display": {"color": "#c15065", "includeInTable": true}, "property": "y", "variableId": 1009182}, {"display": {"name": "Genocide", "unit": "deaths", "color": "#6d3e91", "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 1009183}, {"display": {"color": "#286bbb", "includeInTable": true}, "property": "y", "variableId": 1009184}], "entityType": "region", "isPublished": true, "entityTypePlural": "regions", "hideFacetControl": false, "selectedEntityNames": ["World"], "selectedFacetStrategy": "metric", "hideAnnotationFieldsInTitle": {"time": true}} |
deaths-from-famines-by-main-trigger-and-decade | StackedBar | Deaths from famines by main trigger and decade | Deaths from famines that are estimated to have killed 100,000 people or more. The World Peace Foundation's triggers seek to summarize the established view among scholars. | The figures are the sum of famine deaths over each ten-year period (e.g., 1990–1999 for the 1990s). The 2020s figure is provisional and includes data only up to and including 2023. | True | |
5167 | 5167 | 8470 | 0194a673-5959-73a2-9603-b3839597b530 | False | 2025-01-27 06:29:24 | 2025-01-27 06:32:17 | 2025-01-27 06:32:17 | 2025-01-27 06:29:52 | 50 | 50 | False | {"id": 8470, "slug": "births-and-deaths-long-run", "title": "Births and deaths", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 4, "subtitle": "Annual number of births and deaths recorded.", "originUrl": "https://ourworldindata.org/population-growth", "dimensions": [{"display": {"name": "Births", "unit": "births", "color": "#4c6a9c", "includeInTable": true}, "property": "y", "variableId": 1000204}, {"display": {"name": "Deaths", "color": "#b13507", "includeInTable": true}, "property": "y", "variableId": 1005632}], "isPublished": false, "variantName": "Long-run", "addCountryMode": "change-country", "selectedEntityNames": ["United States"], "hideAnnotationFieldsInTitle": {"time": true}} |
births-and-deaths-long-run | LineChart | Births and deaths | Annual number of births and deaths recorded. | Births and deaths (Long-run) | False | |
5166 | 5166 | 8469 | 0194986b-ac49-797a-a2fb-162072b3fd14 | False | 2025-01-24 13:06:20 | 2025-03-21 14:32:00 | 2025-03-21 14:32:00 | 74 | True | {"id": 8469, "slug": "animals-killed-for-meat-per-year-worldwide-1961-to-2022", "title": "Animals killed for meat per year worldwide, 1961 to 2022", "yAxis": {"facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "dimensions": [{"display": {"name": "Chickens", "shortUnit": "animals", "includeInTable": true}, "property": "y", "variableId": 1018689}, {"display": {"name": "Pigs", "shortUnit": "animals", "includeInTable": true}, "property": "y", "variableId": 1018729}, {"display": {"name": "Cows", "shortUnit": "animals", "includeInTable": true}, "property": "y", "variableId": 1018649}, {"display": {"name": "Sheep", "unit": "animals", "shortUnit": "animals", "includeInTable": true}, "property": "y", "variableId": 1018744}], "isPublished": false, "selectedEntityNames": ["World"], "selectedFacetStrategy": "metric"} |
animals-killed-for-meat-per-year-worldwide-1961-to-2022 | LineChart | Animals killed for meat per year worldwide, 1961 to 2022 | False | |||||
5165 | 5165 | 8468 | 01949811-7fc2-7871-9c47-e256408e02e1 | False | 2025-01-24 11:27:51 | 2025-02-25 14:07:19 | 2025-02-25 14:07:19 | 2025-01-29 12:06:25 | 58 | 14 | False | {"id": 8468, "slug": "sulphur-dioxide-and-coal", "title": "Coal consumption and sulphur dioxide emissions", "yAxis": {"facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2022, "minTime": 1965, "version": 5, "subtitle": "Sulphur dioxide (SO₂) is an air pollutant formed from the burning of fuels that contain sulphur, such as coal. Countries can reduce SO₂ emissions by burning less coal, or installing desulphurization technologies which remove sulphur from the smokestack.", "stackMode": "relative", "dimensions": [{"display": {"name": "Sulphur dioxide (SO₂) emissions"}, "property": "y", "variableId": 1013701}, {"display": {"name": "Coal consumption"}, "property": "y", "variableId": 943815}], "sourceDesc": "Community Emissions Data System (CEDS) 2024; Energy Institute (2024)", "isPublished": true, "hideRelativeToggle": false, "selectedEntityNames": ["World", "United Kingdom", "China", "India"], "selectedFacetStrategy": "entity"} |
sulphur-dioxide-and-coal | LineChart | Coal consumption and sulphur dioxide emissions | Sulphur dioxide (SO₂) is an air pollutant formed from the burning of fuels that contain sulphur, such as coal. Countries can reduce SO₂ emissions by burning less coal, or installing desulphurization technologies which remove sulphur from the smokestack. | True |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE charts(id INTEGER, configId VARCHAR, isInheritanceEnabled BOOLEAN, createdAt TIMESTAMP, updatedAt TIMESTAMP, lastEditedAt TIMESTAMP, publishedAt TIMESTAMP, lastEditedByUserId INTEGER, publishedByUserId INTEGER, isIndexable BOOLEAN, config VARCHAR, slug VARCHAR, "type" VARCHAR, title VARCHAR, subtitle VARCHAR, note VARCHAR, title_plus_variant VARCHAR, isPublished BOOLEAN);; CREATE INDEX idx_title_plus_variant ON charts(title_plus_variant);;