charts

{"id": 6952, "slug": "consumer-price-index", "title": "Consumer price index", "yAxis": {"min": "auto"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "The CPI shows the average price level of goods and services purchased by consumers. This is expressed relative to a base year – in this case 2010. For example, a CPI of 120 means that prices were 20% higher than in 2010.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-growth", "dimensions": [{"property": "y", "variableId": 1007992}], "isPublished": true, "selectedEntityNames": ["India", "United States", "Japan", "South Africa", "China", "Mexico"]}

{"id": 6742, "slug": "deaths-in-armed-conflicts-by-type", "title": "Deaths in armed conflicts", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 36, "subtitle": "Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year.", "originUrl": "https://ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "One-sided violence"}, "property": "y", "variableId": 985493}, {"display": {"name": "Non-state", "unit": "deaths"}, "property": "y", "variableId": 985481}, {"display": {"name": "Extrasystemic"}, "property": "y", "variableId": 985377}, {"display": {"name": "Intrastate"}, "property": "y", "variableId": 985425}, {"display": {"name": "Interstate"}, "property": "y", "variableId": 985400}], "entityType": "region", "isPublished": true, "variantName": "Regional data, stacked bars", "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["World"], "facettingLabelByYVariables": "conflict type", "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 6740, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "deaths-in-armed-conflicts-by-region", "title": "Deaths in armed conflicts by region", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 38, "subtitle": "Included are deaths of combatants and civilians due to fighting in [armed conflicts](#dod:armed-conflict-ucdp) that were ongoing that year.", "originUrl": "ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"property": "y", "variableId": 985356}], "entityType": "region", "isPublished": true, "variantName": "", "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["Asia and Oceania", "Middle East", "Europe", "Americas", "Africa"], "selectedEntityColors": {"Asia": "#00847e", "Africa": "#a2559c", "Europe": "#4c6a9c", "Americas": "#e56e5a", "Middle East": "#bc8e5a", "Asia & Oceania": "#9e2435", "Asia and Oceania": "#00847e"}, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 6507, "slug": "wid-top-1-1980-vs-2018-matching-obs", "title": "WID – Top 1% share – 1980 vs. 2018", "xAxis": {"max": 40, "min": 0, "label": "Top 1% share around 1980"}, "yAxis": {"max": 40, "min": 0, "label": "Top 1% share around 2018"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2018, "minTime": 2018, "version": 53, "hideLogo": true, "subtitle": "Only observations also available in World Bank PIP data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"shortUnit": "%", "tolerance": 5}, "property": "y", "variableId": 598135}, {"display": {"shortUnit": "%", "tolerance": 5}, "property": "x", "targetYear": 1980, "variableId": 598135}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598105}], "sourceDesc": "World Inequality Database", "isPublished": false, "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 1 point ↓", "yEquals": "x - 1"}, {"label": "Increased more than 1 point ↑", "yEquals": "x + 1"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6506, "slug": "wid-top-1-1980-vs-2018-all-obs", "title": "WID – Top 1% share – 1980 vs. 2018", "xAxis": {"max": 40, "min": 0, "label": "Top 1% share around 1980"}, "yAxis": {"max": 40, "min": 0, "label": "Top 1% share around 2018"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2018, "minTime": 2018, "version": 44, "hideLogo": true, "subtitle": "All observations available in the WID data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"shortUnit": "%", "tolerance": 5}, "property": "y", "variableId": 598133}, {"display": {"shortUnit": "%", "tolerance": 5}, "property": "x", "targetYear": 1980, "variableId": 598133}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598131}], "sourceDesc": "World Inequality Database", "isPublished": false, "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 1 point ↓", "yEquals": "x - 1"}, {"label": "Increased more than 1 point ↑", "yEquals": "x + 1"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6505, "slug": "wid-top-1-1993-vs-2015-matching-obs", "title": "WID – Top 1% share – 1993 vs. 2015", "xAxis": {"max": 40, "min": 5, "label": "Top 1% share around 1993"}, "yAxis": {"max": 40, "min": 5, "label": "Top 1% share around 2015"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2015, "minTime": 2015, "version": 44, "hideLogo": true, "subtitle": "Only observations also available in World Bank PIP data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"shortUnit": "%", "tolerance": 3}, "property": "y", "variableId": 598140}, {"display": {"shortUnit": "%", "tolerance": 3}, "property": "x", "targetYear": 1993, "variableId": 598140}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598105}], "sourceDesc": "World Inequality Database", "isPublished": false, "variantName": "Matching observations only", "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 1 point ↓", "yEquals": "x - 1"}, {"label": "Increased more than 1 point ↑", "yEquals": "x + 1"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6504, "slug": "wid-top-1-1993-vs-2015-all-obs", "title": "WID – Top 1% share – 1993 vs. 2015", "xAxis": {"max": 40, "min": 4, "label": "Top 1% share around 1993"}, "yAxis": {"max": 40, "min": 4, "label": "Top 1% share around 2018"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2018, "minTime": 2018, "version": 46, "hideLogo": true, "subtitle": "All observations available in the WID data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 1016020}, {"property": "x", "targetYear": 1993, "variableId": 1016020}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598105}], "sourceDesc": "World Inequality Database", "isPublished": false, "variantName": "All observations", "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 5% ↓", "yEquals": ".95*x"}, {"label": "Increased more than 5% ↑", "yEquals": "1.05*x"}], "matchingEntitiesOnly": true, "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6503, "slug": "pip-gini-1980-vs-2018-matching-obs", "title": "World Bank, PIP – Gini coefficient – 1980 vs. 2018", "xAxis": {"max": 70, "min": 20}, "yAxis": {"max": 70, "min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2018, "minTime": 2018, "version": 34, "hideLogo": true, "subtitle": "Only observations also available in WID data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Gini in 2018", "shortUnit": "%", "tolerance": 5}, "property": "y", "variableId": 598134}, {"display": {"name": "Gini", "shortUnit": "%", "tolerance": 5}, "property": "x", "targetYear": 1980, "variableId": 598134}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598131}], "sourceDesc": "World Bank Poverty and Inequality Platform", "isPublished": false, "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 2 points ↓", "yEquals": "x - 2"}, {"label": "Increased more than 2 points ↑", "yEquals": "x + 2"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6502, "slug": "pip-gini-1993-vs-2015-matching-obs", "title": "World Bank, PIP – Gini coefficient – 1993 vs. 2015", "xAxis": {"max": 70, "min": 20, "label": "Gini around 1993"}, "yAxis": {"max": 70, "min": 20, "label": "Gini around 2015"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2015, "minTime": 2015, "version": 36, "hideLogo": true, "subtitle": "Only observations also available in WID data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Gini", "shortUnit": "%", "tolerance": 3}, "property": "y", "variableId": 598139}, {"display": {"name": "Gini", "shortUnit": "%", "tolerance": 3}, "property": "x", "targetYear": 1993, "variableId": 598139}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598105}], "sourceDesc": "World Bank Poverty and Inequality Platform", "isPublished": false, "variantName": "Matching observations only", "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 2 points ↓", "yEquals": "x - 2"}, {"label": "Increased more than 2 points ↑", "yEquals": "x + 2"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6501, "slug": "pip-gini-1980-vs-2018-all-obs", "title": "World Bank, PIP – Gini coefficient – 1980 vs. 2018", "xAxis": {"max": 70, "min": 20}, "yAxis": {"max": 70, "min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2018, "minTime": 2018, "version": 31, "hideLogo": true, "subtitle": "All observations available in the PIP data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Gini in 2018", "shortUnit": "%", "tolerance": 5}, "property": "y", "variableId": 598132}, {"display": {"name": "Gini", "shortUnit": "%", "tolerance": 5}, "property": "x", "targetYear": 1980, "variableId": 598132}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598131}], "sourceDesc": "World Bank Poverty and Inequality Platform", "isPublished": false, "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 2 points ↓", "yEquals": "x - 2"}, {"label": "Increased more than 2 points ↑", "yEquals": "x + 2"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6499, "slug": "pip-gini-1993-vs-2015-all-obs", "title": "World Bank, PIP – Gini coefficient – 1993 vs. 2015", "xAxis": {"max": 70, "min": 20, "label": "Gini around 1993"}, "yAxis": {"max": 70, "min": 20, "label": "Gini around 2015"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 2015, "minTime": 2015, "version": 32, "hideLogo": true, "subtitle": "All observations available in the PIP data are shown.", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Gini", "shortUnit": "%", "tolerance": 3}, "property": "y", "variableId": 598137}, {"display": {"name": "Gini", "unit": "", "shortUnit": "%", "tolerance": 3}, "property": "x", "targetYear": 1993, "variableId": 598137}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 598105}], "sourceDesc": "World Bank Poverty and Inequality Platform", "isPublished": false, "variantName": "All observations", "hideTimeline": true, "comparisonLines": [{"label": "Decreased more than 2 points ↓", "yEquals": "x - 2"}, {"label": "Increased more than 2 points ↑", "yEquals": "x + 2"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true}}

{"id": 6283, "note": "Estimates based on the most recent household survey data (between 2011 and 2023). A [separate dataset](https://ourworldindata.org/grapher/share-of-population-in-multidimensional-poverty-urban-vs-rural-hot) is produced to monitor trends over time.", "slug": "share-of-population-in-multidimensional-poverty-urban-vs-rural-cme-scatter", "title": "Share of population living in multidimensional poverty: urban vs. rural areas", "xAxis": {"max": 100, "canChangeScaleType": true}, "yAxis": {"max": 100, "min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 22, "subtitle": "Multidimensional poverty is defined as being deprived in a range of health, education and living standards indicators.", "originUrl": "Ourworldindata.org/poverty", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Share in multidimensional poverty – Rural areas", "includeInTable": true}, "property": "y", "variableId": 997773}, {"display": {"name": "Share in multidimensional poverty – Urban areas", "includeInTable": true}, "property": "x", "variableId": 997783}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": true, "variantName": "Current estimates, scatterplot", "hideTimeline": true, "comparisonLines": [{"label": "Urban = Rural", "yEquals": "x"}], "selectedEntityNames": [], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 6263, "note": "Estimates based on the most recent household survey data (between 2011 and 2023). A [separate dataset](https://ourworldindata.org/grapher/share-in-multidimensional-poverty-vs-multidimensional-poverty-index-hot) is produced to monitor trends over time.", "slug": "share-vs-mpi", "title": "Share of population living in multidimensional poverty vs. Multidimensional Poverty Index", "xAxis": {"min": 0, "canChangeScaleType": true}, "yAxis": {"min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 43, "subtitle": "Multidimensional poverty is defined as being deprived in a range of health, education and living standards indicators. The MPI is a measure that combines the prevalence and the intensity of multidimensional poverty on a scale from 0 to 1. Higher values indicate higher poverty.", "originUrl": "Ourworldindata.org/poverty", "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 997764}, {"display": {"name": "Share in multidimensional poverty", "includeInTable": true}, "property": "x", "variableId": 997763}, {"display": {"name": "Population", "includeInTable": true}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true, "variantName": "Current estimates", "hideTimeline": true, "selectedEntityNames": [], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 6261, "map": {"time": 1980, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": "", "customNumericMinValue": 0}, "timeTolerance": 1}, "note": "Extreme poverty 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). Multidimensional poverty is based on the most recent household survey data (between 2011 and 2023).", "slug": "share-poverty-lower-middle-income-vs-share-mpi-poor", "title": "Share of population living on less than $3.65 per day vs. share in multidimensional poverty", "xAxis": {"max": 100, "min": 0, "canChangeScaleType": true}, "yAxis": {"max": 100, "min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 81, "subtitle": "The poverty line of $3.65 per day is set by the World Bank to be representative of the definitions of poverty adopted in lower-middle-income countries. Multidimensional poverty is defined as being deprived in a range of health, education and living standards indicators.", "originUrl": "https://ourworldindata.org/poverty", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Share below $3.65 a day", "unit": "%", "tolerance": 10, "includeInTable": true}, "property": "y", "variableId": 990308}, {"display": {"name": "Share in multidimensional poverty", "includeInTable": true}, "property": "x", "variableId": 997763}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "variantName": "Current estimates", "hideTimeline": true, "comparisonLines": [{"label": "1:1", "yEquals": "x"}], "hideRelativeToggle": false, "selectedEntityNames": [], "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 6260, "map": {"time": 1980, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": "", "customNumericMinValue": 0}, "timeTolerance": 1}, "note": "Extreme poverty data is measured in [international-$](#dod:int_dollar_abbreviation) at 2017 prices to account for inflation and differences in living costs between countries. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-extreme-poverty-vs-share-mpi-poor-over-time", "title": "Extreme monetary poverty and multidimensional poverty over time", "xAxis": {"min": 0, "canChangeScaleType": true}, "yAxis": {"min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 72, "subtitle": "Multidimensional poverty is defined as being deprived in a range of health, education and living standards indicators. Extreme poverty is defined as living below the International Poverty Line of $2.15 per day.", "originUrl": "https://ourworldindata.org/poverty", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Share in extreme monetary poverty", "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 990305}, {"display": {"name": "Share in multidimensional poverty", "includeInTable": true, "numDecimalPlaces": 1}, "property": "x", "variableId": 997768}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "variantName": "Harmonized over time estimates", "hideTimeline": true, "comparisonLines": [{"yEquals": "x"}], "hideRelativeToggle": false, "selectedEntityNames": [], "compareEndPointsOnly": true, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 6199, "map": {"colorScale": {"binningStrategy": "manual", "customNumericColors": [null, null], "customNumericValues": [1, 2, 5, 10, 20, 50, 10]}}, "tab": "map", "note": "This data is expressed in 2011 [international-$](#dod:int_dollar_abbreviation). Following an update, World Bank PIP now uses 2017 international-$ for its poverty and inequality data [available here](https://ourworldindata.org/grapher/daily-mean-income).", "slug": "daily-mean-income-2011-ppp", "title": "Mean income or consumption per day", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 44, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-growth", "dimensions": [{"property": "y", "variableId": 990171}], "isPublished": true, "variantName": "2011 Int-$", "selectedEntityNames": ["Democratic Republic of Congo", "Mozambique", "India", "Indonesia", "Egypt", "China", "Russia", "Peru", "Mexico", "Spain", "Germany", "United Kingdom", "United States"]}

{"id": 6153, "note": "Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "mean-income-or-expenditure-per-day-2011-vs-2017-international-", "title": "Mean income or consumption per day: 2011 vs. 2017 international-$", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 37, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/poverty", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "2017 international-$", "unit": "international-$ in 2017 prices"}, "property": "y", "variableId": 990176}, {"display": {"name": "2011 international-$"}, "property": "x", "variableId": 990171}, {"property": "size", "variableId": 953899}, {"property": "color", "variableId": 900801}], "isPublished": true, "comparisonLines": [{"yEquals": "x"}], "relatedQuestions": [{"url": "https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line", "text": "From $1.90 to $2.15 a day: the updated International Poverty Line"}], "matchingEntitiesOnly": true}

{"id": 5918, "note": "Poverty data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "expected-years-of-schooling-vs-share-in-extreme-poverty", "title": "Expected years of schooling vs. share in extreme poverty", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 48, "subtitle": "Expected years of schooling is the number of years a child of school entrance age can expect to receive if the current age-specific enrollment rates persist throughout the child’s years of schooling. Extreme poverty is defined as living below the International Poverty Line of $2.15 per day.", "originUrl": "https://ourworldindata.org/global-education", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 899521}, {"property": "x", "variableId": 990305}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true, "matchingEntitiesOnly": true}

{"id": 5917, "note": "Poverty data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "death-rate-from-unsafe-water-sources-vs-share-in-extreme-poverty", "title": "Death rate from unsafe water sources vs. share of population living in extreme poverty", "xAxis": {"min": 0}, "yAxis": {"min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 41, "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/water-access", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Deaths from unsafe water sources per 100,000 people", "tolerance": 5}, "property": "y", "variableId": 940823}, {"display": {"name": "Share in extreme poverty", "tolerance": 5}, "property": "x", "variableId": 990305}, {"display": {"name": "Population"}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true, "matchingEntitiesOnly": true}

{"id": 5784, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "the-share-and-number-of-people-living-in-extreme-poverty", "title": "The share and number of people living in extreme poverty", "yAxis": {"min": 0, "facetDomain": "independent"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 32, "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/poverty", "dimensions": [{"display": {"name": "Share of population living in extreme poverty"}, "property": "y", "variableId": 990305}, {"display": {"name": "Number of people living in extreme poverty"}, "property": "y", "variableId": 990286}], "isPublished": true, "selectedEntityNames": ["World"], "selectedFacetStrategy": "metric", "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 5600, "note": "Some conflicts affect several regions. The sum across all regions can therefore be higher than the global number.", "slug": "number-of-state-based-conflicts", "title": "Number of state-based conflicts", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 39, "subtitle": "Included are [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), and [extrasystemic](#dod:extrasystemic-ucdp) conflicts that were ongoing that year.", "originUrl": "ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "Internationalized intrastate", "includeInTable": true}, "property": "y", "variableId": 985458}, {"display": {"name": "Non-internationalized intrastate", "includeInTable": true}, "property": "y", "variableId": 985472}, {"display": {"name": "Extrasystemic", "includeInTable": true}, "property": "y", "variableId": 985385}, {"display": {"name": "Interstate", "includeInTable": true}, "property": "y", "variableId": 985407}], "entityType": "region", "isPublished": true, "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["World"], "facettingLabelByYVariables": "conflict type", "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 5599, "slug": "death-rate-in-armed-conflicts-by-type", "title": "Death rate in armed conflicts", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 28, "subtitle": "Deaths of combatants and civilians due to fighting, per 100,000 people. Included are [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year.", "originUrl": "https://ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "One-sided violence", "includeInTable": true}, "property": "y", "variableId": 985502}, {"display": {"name": "Non-state", "includeInTable": true}, "property": "y", "variableId": 985490}, {"display": {"name": "Extrasystemic", "includeInTable": true}, "property": "y", "variableId": 985396}, {"display": {"name": "Intrastate", "includeInTable": true}, "property": "y", "variableId": 985446}, {"display": {"name": "Interstate", "includeInTable": true}, "property": "y", "variableId": 985420}], "entityType": "region", "sourceDesc": "Uppsala Conflict Data Program (2024)", "isPublished": true, "variantName": "Regional data", "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["World"], "facettingLabelByYVariables": "conflict type", "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 5598, "slug": "deaths-in-state-based-conflicts-by-type", "title": "Deaths in state-based conflicts by type", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 23, "subtitle": "Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), and [extrasystemic](#dod:extrasystemic-ucdp) conflicts that were ongoing that year.", "originUrl": "https://ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "Internationalized intrastate"}, "property": "y", "variableId": 985406}, {"display": {"name": "Non-internationalized intrastate"}, "property": "y", "variableId": 985418}, {"display": {"name": "Extrasystemic"}, "property": "y", "variableId": 985371}, {"display": {"name": "Interstate"}, "property": "y", "variableId": 985382}], "entityType": "region", "isPublished": true, "baseColorScheme": "OwidCategoricalA", "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["World"], "facettingLabelByYVariables": "conflict type", "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 5596, "slug": "death-rate-in-state-based-conflicts", "title": "Death rate in state-based conflicts", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 28, "subtitle": "Deaths of combatants and civilians due to fighting, per 100,000 people. Included are [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), and [extrasystemic](#dod:extrasystemic-ucdp) conflicts that were ongoing that year.", "originUrl": "https://ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "Extrasystemic"}, "property": "y", "variableId": 985374}, {"display": {"name": "Intrastate"}, "property": "y", "variableId": 985401}, {"display": {"name": "Interstate"}, "property": "y", "variableId": 985388}], "entityType": "region", "isPublished": true, "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["World"], "facettingLabelByYVariables": "conflict type", "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 5516, "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": "share-living-on-less-than-550-per-day-vs-average-daily-income", "title": "Share living on less than $6.85 a day vs. mean income or consumption", "xAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 51, "subtitle": "The poverty line of $6.85 per day is set by the World Bank to be representative of the definitions of poverty adopted in upper-middle-income countries. This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "OurWorldinData.org/poverty", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Share below $6.85 per day"}, "property": "y", "variableId": 990313}, {"display": {"name": "Mean income or consumption per day", "unit": "international-$ in 2017 prices"}, "property": "x", "variableId": 990176}, {"display": {"name": "Population"}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true, "selectedEntityNames": [], "matchingEntitiesOnly": true}

{"id": 5500, "map": {"time": 2018, "colorScale": {"binningStrategy": "equalInterval"}}, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, the mean relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "mean-daily-per-capita-expenditure-vs-daily-gdp-per-capita-reference-lines", "title": "Mean income or consumption per day vs. Daily GDP per capita", "xAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true, "removePointsOutsideDomain": true}, "yAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 79, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Mean income or expenditure per day", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 990176}, {"property": "x", "variableId": 905490}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": false, "variantName": "Daily GDP per capita, with comparison lines", "comparisonLines": [{"label": "1:1", "yEquals": "x"}, {"label": "1:2", "yEquals": "x/2"}, {"label": "1:3", "yEquals": "x/3"}, {"label": "1:4", "yEquals": "x/4"}, {"label": "1:5", "yEquals": "x/5"}], "hideRelativeToggle": false, "excludedEntityNames": ["Ireland", "Luxembourg"], "matchingEntitiesOnly": true}

{"id": 5478, "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": "distribution-of-population-across-income-thresholds-stacked-bar-30-only", "title": "Share of population below and above $30 per day", "yAxis": {"facetDomain": "independent"}, "sortBy": "column", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 45, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/poverty", "stackMode": "relative", "chartTypes": ["StackedDiscreteBar"], "dimensions": [{"display": {"name": "Below $30 per day", "color": "#d73c50", "tolerance": 5}, "property": "y", "variableId": 990287}, {"display": {"name": "Above $30 per day", "color": "#4c6a9c", "tolerance": 5}, "property": "y", "variableId": 990476}], "isPublished": true, "variantName": "Stacked bar: Above/below $30 per day", "sortColumnSlug": "990287", "hideRelativeToggle": false, "selectedEntityNames": ["World", "India", "China", "Nigeria", "Zambia", "Mexico", "United States", "United Kingdom", "France", "Poland", "Russia", "Mozambique", "Norway", "Germany", "Italy", "Spain"]}

{"id": 5169, "map": {"colorScale": {"baseColorScheme": "RdPu", "binningStrategy": "manual", "customNumericColors": [null, null, null, null, null, null, null, null], "customNumericValues": [5, 10, 15, 20, 25, 30, 35, 40]}, "timeTolerance": 5}, "tab": "map", "note": "This data is measured in [international-$](#dod:int_dollar_abbreviation) at 2017 prices to account for inflation and differences in living costs between countries. It relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "poverty-gap-index-extreme-poverty", "title": "Poverty gap index at $2.15 per day", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 50, "subtitle": "The poverty gap index is a poverty measure that reflects both the prevalence and the depth of poverty. It is calculated as the share of population in poverty multiplied by the average shortfall from the poverty line (expressed as a % of the poverty line).", "hasMapTab": true, "originUrl": "https://ourworldindata.org/poverty", "dimensions": [{"display": {"unit": "%", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 990341}], "isPublished": true, "selectedEntityNames": ["Madagascar", "Bangladesh", "Bolivia", "India", "China", "Central African Republic", "Ethiopia"]}

{"id": 5151, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "distribution-of-population-between-different-poverty-thresholds-stacke-bar", "title": "Distribution of population between different poverty thresholds", "sortBy": "column", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 47, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/extreme-poverty-in-brief", "stackMode": "relative", "chartTypes": ["StackedDiscreteBar"], "dimensions": [{"display": {"name": "Below $2.15 a day", "tolerance": 5}, "property": "y", "variableId": 990286}, {"display": {"name": "$2.15-$10 a day", "tolerance": 5}, "property": "y", "variableId": 990494}, {"display": {"name": "$10-$30 a day", "tolerance": 5}, "property": "y", "variableId": 990495}, {"display": {"name": "Above $30 a day", "tolerance": 5}, "property": "y", "variableId": 990476}], "isPublished": true, "sortColumnSlug": "990286", "baseColorScheme": "RdYlBu", "hideRelativeToggle": false, "selectedEntityNames": ["World", "South Asia (PIP)", "Sub-Saharan Africa (PIP)", "East Asia and Pacific (PIP)", "Europe and Central Asia (PIP)", "Other high income countries (PIP)", "Middle East and North Africa (PIP)", "Latin America and the Caribbean (PIP)"]}

{"id": 5139, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "above-or-below-extreme-poverty-line-world-bank", "title": "Number of people living in extreme poverty", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 34, "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/poverty", "chartTypes": ["StackedArea"], "dimensions": [{"display": {"name": "Not in extreme poverty"}, "property": "y", "variableId": 990460}, {"display": {"name": "Living in extreme poverty", "color": "#d73c50"}, "property": "y", "variableId": 990286}], "isPublished": true, "variantName": "Stacked area chart", "baseColorScheme": "Spectral", "hideRelativeToggle": false, "selectedEntityNames": ["World"]}

{"id": 5115, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": ["#ffeda0", "#fed976", "#feb24c", "#fd8d3c", "#fc4e2a", "#e31a1c", "#bd0026", "#9f0026", "#800026"], "customNumericValues": [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}}, "tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-living-with-less-than-10-int--per-day", "title": "Poverty: Share of population living on less than $10 a day", "yAxis": {"max": 100, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 54, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/poverty", "dimensions": [{"display": {"tolerance": 5}, "property": "y", "variableId": 990298}], "isPublished": true, "variantName": "Line chart", "selectedEntityNames": ["Norway", "Burundi", "Montenegro", "India", "Bangladesh", "Bolivia"]}

{"id": 5114, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": ["#ffeda0", "#fed976", "#feb24c", "#fd8d3c", "#fc4e2a", "#e31a1c", "#bd0026", "#9f0026", "#800026"], "customNumericValues": [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}}, "tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-living-with-less-than-550-int--per-day", "title": "Poverty: Share of population living on less than $6.85 a day", "yAxis": {"max": 100, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 49, "subtitle": "The poverty line of $6.85 per day is set by the World Bank to be representative of the definitions of poverty adopted in upper-middle-income countries. This data is adjusted for inflation and for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/poverty", "dimensions": [{"display": {"tolerance": 5}, "property": "y", "variableId": 990313}], "isPublished": true, "selectedEntityNames": ["India", "Bangladesh", "Bolivia", "Madagascar", "China", "Ethiopia"]}

{"id": 5113, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": ["#fed976", "#feb24c", "#fd8d3c", "#fc4e2a", "#e31a1c", "#bd0026", "#9f0026", null, "#800026"], "customNumericValues": [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}, "timeTolerance": 5}, "tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-living-with-less-than-320-int--per-day", "title": "Poverty: Share of population living on less than $3.65 a day", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 52, "subtitle": "The poverty line of $3.65 per day is set by the World Bank to be representative of the definitions of poverty adopted in lower-middle-income countries. This data is adjusted for inflation and for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/poverty", "dimensions": [{"display": {"tolerance": 5}, "property": "y", "variableId": 990308}], "isPublished": true, "selectedEntityNames": ["Bangladesh", "Bolivia", "Madagascar", "India", "China", "Ethiopia"]}

{"id": 5112, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": ["#ffffcc", "#ffeda0", "#fed976", "#feb24c", "#fd8d3c", null, null, null, "#fc4e2a", "#e31a1c", "#bd0026", "#9f0026"], "customNumericValues": [3, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}}, "tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-living-with-less-than-1-int--per-day", "title": "Poverty: Share of population living on less than $1 a day", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 42, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/poverty", "dimensions": [{"display": {"tolerance": 5}, "property": "y", "variableId": 990299}], "isPublished": true, "selectedEntityNames": ["Jordan", "Cyprus", "Romania", "Bangladesh", "India", "Nigeria", "Kenya", "Bolivia"]}

{"id": 5111, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": ["#e31a1c", null, null, null, "#bd0026", null, null], "customNumericValues": [3, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]}}, "tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-of-population-in-extreme-poverty", "title": "Share of population living in extreme poverty", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 72, "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/poverty", "dimensions": [{"property": "y", "variableId": 990305}], "isPublished": true, "variantName": "Line chart", "selectedEntityNames": ["Mexico", "Brazil", "Nigeria", "Pakistan", "India", "Indonesia", "China"]}

{"id": 5076, "slug": "reconstruction-of-historical-poverty-trends-by-country", "title": "Reconstruction of historical poverty trends by country", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "A dataset of historical poverty estimates for individual countries provided for the purposes of replicating the global estimates given in Roser and Hasell (2011). The dataset includes many interpolated or extrapolated data points and should not be relied upon to understand trends in particular countries without consulting the underlying data sources.", "originUrl": "https://ourworldindata.org/history-of-poverty-data-appendix", "dimensions": [{"property": "y", "variableId": 145553}, {"property": "y", "variableId": 145554}, {"property": "y", "variableId": 145555}, {"property": "y", "variableId": 145552}, {"property": "y", "variableId": 147494}], "isPublished": true, "addCountryMode": "change-country", "selectedEntityNames": ["United Kingdom"]}

{"id": 5058, "slug": "use-of-interpolation-and-extrapolation-on-gini-data", "title": "Use of interpolation and extrapolation on original Gini coefficient data", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 15, "subtitle": "In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the [Gini coefficient](#dod:gini) available in the original source.", "originUrl": "https://ourworldindata.org/history-of-poverty-data-appendix", "chartTypes": ["ScatterPlot"], "colorScale": {"customCategoryColors": {"MDP": "#00823f", "MDP Interpolated": "#d7263f", "regional average": "#d7263f", "vZ_gini_original": "#18470f", "GCIP_income_gini_original": "#578145", "Extrapolated with de la Ecosura": "#c05917"}, "customNumericColorsActive": true}, "dimensions": [{"display": {"name": "GDP per capita (2011 int-$)", "shortUnit": "$", "includeInTable": true}, "property": "y", "variableId": 145556}, {"display": {"name": "Baseline Gini series", "includeInTable": true}, "property": "x", "variableId": 145568}, {"display": {"name": "Population", "includeInTable": true}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 147418}], "isPublished": true, "excludedEntityNames": ["Kuwait", "Qatar", "United Arab Emirates"]}

{"id": 5057, "slug": "use-of-interpolation-and-extrapolation-on-maddison-gdp-per-capita-data", "title": "Use of interpolation and extrapolation on Maddison GDP per capita data", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": "earliest", "version": 10, "subtitle": "In order to produce global estimates of historical poverty trends we have interpolated or extrapolated GDP per capita data for missing observations. Green indicates GDP observations available in the original source.", "originUrl": "https://ourworldindata.org/history-of-poverty-data-appendix", "chartTypes": ["ScatterPlot"], "colorScale": {"customCategoryColors": {"MDP": "#00823f", "MDP Interpolated": "#d7263f", "Extrapolated with de la Ecosura": "#c05917"}, "customNumericColorsActive": true}, "dimensions": [{"display": {"name": "GDP per capita (2011 int-$)", "shortUnit": "$", "includeInTable": true}, "property": "y", "variableId": 145556}, {"property": "x", "variableId": 145568}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 147415}], "isPublished": true, "excludedEntityNames": ["Kuwait", "Qatar", "United Arab Emirates"]}

{"id": 5042, "slug": "historical-national-accounts-estimates-of-the-distribution-of-people-living-at-different-income-thresholds-globally", "title": "Historical national accounts estimates of the distribution of people living at different income thresholds globally", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "Average incomes measured in national accounts are often much higher than those observed in survey data. As such the poverty rates shown are lower than corresponding estimates based on survey data – this includes the official estimates produced by the World Bank used to monitor progress against SDG1. See Roser and Hasell (2021) for further discussion.", "originUrl": "https://ourworldindata.org/history-of-poverty-data-appendix", "chartTypes": ["StackedArea"], "dimensions": [{"property": "y", "variableId": 147403}, {"property": "y", "variableId": 147404}, {"property": "y", "variableId": 147405}, {"property": "y", "variableId": 147406}, {"property": "y", "variableId": 147400}], "isPublished": true, "addCountryMode": "change-country", "hideRelativeToggle": false, "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4876, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "distribution-of-population-between-different-poverty-thresholds-up-to-30-dollars", "title": "Distribution of population between different poverty thresholds", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 42, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/poverty", "chartTypes": ["StackedArea"], "dimensions": [{"display": {"name": "above $40 a day", "includeInTable": true}, "property": "y", "variableId": 990478}, {"display": {"name": "$30-$40 a day", "includeInTable": true}, "property": "y", "variableId": 990492}, {"display": {"name": "$20-$30 a day", "includeInTable": true}, "property": "y", "variableId": 990490}, {"display": {"name": "$10-$20 a day", "includeInTable": true}, "property": "y", "variableId": 990488}, {"display": {"name": "$6.85-$10 a day", "includeInTable": true}, "property": "y", "variableId": 990486}, {"display": {"name": "$3.65-$6.85 a day", "includeInTable": true}, "property": "y", "variableId": 990484}, {"display": {"name": "$2.15-$3.65 a day", "includeInTable": true}, "property": "y", "variableId": 990482}, {"display": {"name": "$1-$2.15 a day", "includeInTable": true}, "property": "y", "variableId": 990480}, {"display": {"name": "below $1 a day", "includeInTable": true}, "property": "y", "variableId": 990280}], "isPublished": true, "variantName": "more thresholds", "addCountryMode": "change-country", "baseColorScheme": "RdYlBu", "hideRelativeToggle": false, "selectedEntityNames": ["World"]}

{"id": 4862, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2011 prices.", "slug": "gdp-world-regions-stacked-area", "title": "Gross domestic product (GDP) by world region", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 28, "subtitle": "This data is adjusted for inflation and differences in living costs between countries.", "originUrl": "https://ourworldindata.org/economic-growth", "chartTypes": ["StackedArea"], "dimensions": [{"property": "y", "variableId": 900795}], "entityType": "region", "isPublished": true, "variantName": "Maddison Project Database, constant international-$", "addCountryMode": "disabled", "baseColorScheme": "OwidCategoricalC", "entityTypePlural": "regions", "hideRelativeToggle": false, "selectedEntityNames": ["Sub Saharan Africa (MPD)", "Latin America (MPD)", "Middle East and North Africa (MPD)", "South and South East Asia (MPD)", "East Asia (MPD)", "Western offshoots (MPD)", "Eastern Europe (MPD)", "Western Europe (MPD)"], "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 4798, "slug": "regional-pov-rate", "title": "Historical national accounts estimates of the share of people living below $5 a day", "yAxis": {"max": 100, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 11, "subtitle": "Average incomes measured in national accounts are often much higher than those observed in survey data. As such the poverty rates shown are lower than corresponding estimates based on survey data – this includes the official estimates produced by the World Bank used to monitor progress against SDG1. See Roser and Hasell (2021) for further discussion.", "originUrl": "https://ourworldindata.org/history-of-poverty-data-appendix", "dimensions": [{"display": {"color": "#9ecc8a", "includeInTable": true}, "property": "y", "variableId": 145583}], "isPublished": true, "selectedEntityNames": ["Western Europe", "Sub-Saharan Africa", "Middle East and North Africa", "South Asia", "East Asia and Pacific", "Latin America and the Caribbean", "Eastern Europe and Central Asia", "Western Offshoots"], "selectedEntityColors": {"Western Europe": "#4c6a9c"}}

{"id": 4792, "slug": "reconstruction-of-historical-global-extreme-poverty-rates-1820-2017-roser-and-hasell-2021-and-world-bank2020", "title": "Reconstruction of historical global extreme poverty rates", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 8, "originUrl": "https://ourworldindata.org/history-of-poverty-data-appendix", "chartTypes": ["StackedArea"], "dimensions": [{"display": {"name": "People not in extreme poverty", "color": "#046c38", "includeInTable": true}, "property": "y", "variableId": 145861}, {"display": {"name": "People living in extreme poverty", "color": "#760d17", "includeInTable": true}, "property": "y", "variableId": 145860}], "sourceDesc": "Roser and Hasell (2021) and World Bank (2020)", "isPublished": true, "addCountryMode": "change-country", "hideRelativeToggle": false, "selectedEntityNames": ["World"], "selectedEntityColors": {"World": "#760d17"}}

{"id": 4707, "slug": "historical-share-of-population-living-on-less-than-5-per-day-roser-hasell", "title": "Historical national accounts estimates of the share of the world's population living on less than $5 per day, by region", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 16, "subtitle": "Average incomes measured in national accounts are often much higher than those observed in survey data. As such the poverty rates shown are lower than corresponding estimates based on survey data – this includes the official estimates produced by the World Bank used to monitor progress against SDG1. See Roser and Hasell (2021) for further discussion.", "originUrl": "https://ourworldindata.org/history-of-poverty-data-appendix", "chartTypes": ["StackedArea"], "dimensions": [{"display": {"shortUnit": "%", "includeInTable": true}, "property": "y", "variableId": 147047}], "entityType": "region", "isPublished": true, "baseColorScheme": "stackedAreaDefault", "entityTypePlural": "regions", "selectedEntityNames": ["Western Offshoots", "Western Europe", "Latin America and the Caribbean", "Eastern Europe and Central Asia", "Middle East and North Africa", "India", "South Asia excl. India", "China", "E. Asia and Pacific excl. China", "Sub-Saharan Africa"]}

{"id": 4705, "note": "Poverty data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-of-government-consumption-at-current-ppps-vs-share-of-the-population-living-on-less-than-190-per-day", "title": "Share of government consumption in GDP vs. share of population living in extreme poverty", "xAxis": {"min": 0}, "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 61, "subtitle": "Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "ourworldindata.org/poverty", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"tolerance": 5}, "property": "y", "variableId": 539755}, {"display": {"name": "Share in extreme poverty", "unit": "%"}, "property": "x", "variableId": 990305}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true}

{"id": 4704, "note": "GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices, using multiple benchmark years to adjust for differences in the cost of living between countries over time.", "slug": "share-of-gov-expenditure-in-gdp-vs-gdp-per-capita", "title": "Share of government consumption in GDP vs. GDP per capita", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 30, "subtitle": "GDP per capita is adjusted for inflation and for differences in living costs between countries.", "originUrl": "ourworldindata.org/economic-growth", "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 539755}, {"property": "x", "variableId": 539760}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true, "excludedEntityNames": ["Turks and Caicos Islands"]}

{"id": 4701, "slug": "historical-share-of-population-living-on-less-than-per-day2", "title": "Share of population living on less than $2 per day", "yAxis": {"min": "auto"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 2, "subtitle": "The share of population with a National Accounts-based income lower than $2 per day, measured in 2011 international-$ (see Sources tab for details). The figures are adjusted for inflation and for price differences across countries.", "originUrl": "ourworldindata.org/poverty", "dimensions": [{"display": {"shortUnit": "%"}, "property": "y", "variableId": 145553}], "isPublished": true, "selectedEntityNames": ["Australia", "Italy", "United States", "United Kingdom", "Japan", "World"]}

{"id": 4700, "slug": "historical-share-of-population-living-on-less-than-5-per-day", "title": "Share of population living on less than $5 per day", "yAxis": {"min": "auto"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 3, "subtitle": "The share of population with a National Accounts-based income lower than $5 per day, measured in 2011 international-$ (see Sources tab for details). The figures are adjusted for inflation and for price differences across countries.", "originUrl": "ourworldindata.org/poverty", "dimensions": [{"display": {"shortUnit": "%"}, "property": "y", "variableId": 145555}], "isPublished": true, "selectedEntityNames": ["United States", "United Kingdom", "Italy", "Japan", "Australia", "World"]}

{"id": 4699, "slug": "historical-share-of-population-under2-vs-gdp-per-capita", "title": "Share living on less than $2 per day vs. GDP per capita", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 20, "subtitle": "On the vertical axis is the share of population with a National Accounts income lower than $2 per day, measured in 2011 international-$. The figures are adjusted for inflation and for price differences across countries. Countries towards the bottom left corner saw economic growth that was shared more equally – they reduced extreme poverty to low levels at a lower GDP per capita.", "originUrl": "ourworldindata.org/poverty", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"shortUnit": "%"}, "property": "y", "variableId": 145553}, {"display": {"name": "GDP per capita", "shortUnit": "$"}, "property": "x", "variableId": 145556}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": false}

{"id": 4698, "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. Depending on the country and year, it relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "share-of-the-population-living-in-extreme-poverty-vs-average-consumption-or-income", "title": "Share of population living in extreme poverty vs. mean income or consumption per day", "xAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 52, "subtitle": "Extreme poverty is defined as living below the International Poverty Line of 2.15 international-$ per day. This data is adjusted for inflation and for differences in living costs between countries.", "originUrl": "OurWorldinData.org/poverty", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Share in extreme poverty", "tolerance": 5}, "property": "y", "variableId": 990305}, {"display": {"name": "Average annual income or consumption", "tolerance": 5, "conversionFactor": 365}, "property": "x", "variableId": 990176}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true, "selectedEntityNames": [], "matchingEntitiesOnly": true}

{"id": 4696, "slug": "share-of-investment-in-gdp-vs-gdp-per-capita", "title": "Share of investment in GDP vs. GDP per capita", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": -10000, "version": 22, "originUrl": "ourworldindata.org/economic-growth", "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 539754}, {"property": "x", "variableId": 539760}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": false, "excludedEntityNames": ["Turks and Caicos Islands"]}

{"id": 4695, "note": "GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices, using multiple benchmark years to adjust for differences in the cost of living between countries over time.", "slug": "share-of-household-consumption-in-gdp-vs-gdp-per-capita", "title": "Share of household consumption in GDP vs. GDP per capita", "xAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 32, "subtitle": "Household consumption is the total money spent on final goods and services by households, here expressed as a share of GDP. This data is adjusted for inflation and differences in living costs between countries.", "originUrl": "ourworldindata.org/economic-growth", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"name": "Share of household consumption", "unit": "% of GDP", "includeInTable": true}, "property": "y", "variableId": 539753}, {"property": "x", "variableId": 539760}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "isPublished": true, "matchingEntitiesOnly": true}

{"id": 4659, "map": {"colorScale": {"baseColorScheme": "GnBu", "binningStrategy": "manual", "customNumericValues": [1000, 2000, 5000, 10000, 20000, 50000, 100000], "binningStrategyBinCount": 9}}, "tab": "map", "note": "This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2011 prices.", "slug": "gdp-per-capita-maddison-project-database", "title": "GDP per capita", "yAxis": {"min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 52, "subtitle": "This data is adjusted for inflation and for differences in living costs between countries.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-growth", "chartTypes": ["LineChart", "SlopeChart"], "dimensions": [{"property": "y", "variableId": 900793}], "isPublished": true, "variantName": "Maddison Project Database, constant international-$", "hideRelativeToggle": false, "selectedEntityNames": ["World", "Western Europe (MPD)", "Eastern Europe (MPD)", "Latin America (MPD)", "East Asia (MPD)", "Western offshoots (MPD)", "Sub Saharan Africa (MPD)", "South and South East Asia (MPD)", "Middle East and North Africa (MPD)"]}

{"id": 4479, "map": {"colorScale": {"customNumericColors": [], "customNumericLabels": [], "customNumericValues": [], "customCategoryColors": {}, "customCategoryLabels": {}, "customHiddenCategories": {}}, "columnSlug": "143365"}, "note": " Data for China is not shown given the earlier timing of its economic downturn. The country saw positive growth of 3.2% in Q2 preceded by a fall of 6.8% in Q1", "slug": "economic-decline-in-the-second-quarter-of-2020", "title": "Economic decline in the second quarter of 2020", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 17, "subtitle": "The percentage decline of GDP relative to the same quarter in 2019. It is adjusted for inflation.", "originUrl": "https://ourworldindata.org/covid-health-economy", "chartTypes": ["DiscreteBar"], "colorScale": {"customNumericColors": [], "customNumericLabels": [], "customNumericValues": [], "customCategoryColors": {}, "customCategoryLabels": {}, "customHiddenCategories": {}}, "dimensions": [{"display": {"unit": "%", "shortUnit": "%", "tableDisplay": {"hideAbsoluteChange": false, "hideRelativeChange": false}, "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 143365}], "sourceDesc": "Eurostat, OECD and individual national statistics agencies", "isPublished": true, "hideTimeline": true, "baseColorScheme": "owid-distinct", "relatedQuestions": [{"url": "https://ourworldindata.org/covid-health-economy", "text": "Which countries have protected both health and the economy in the pandemic?"}], "selectedEntityNames": ["Austria", "Bulgaria", "Cyprus", "Denmark", "France", "Hungary", "Lithuania", "Italy", "Netherlands", "Portugal", "Slovakia", "Spain", "United Kingdom", "Belgium", "Canada", "Czechia", "Finland", "Germany", "Indonesia", "Latvia", "Mexico", "Poland", "Romania", "South Korea", "Sweden", "United States", "Japan", "Chile", "Colombia", "Norway", "Peru", "Taiwan", "Tunisia", "Singapore", "Philippines", "Nigeria", "Malaysia", "Israel"], "hideAnnotationField…

{"id": 4478, "map": {"colorScale": {}, "columnSlug": "142586"}, "note": "The number of confirmed cases is lower than the number of actual cases; the main reason for that is limited testing.", "slug": "q2-gdp-growth-vs-confirmed-cases-per-million-people", "title": "Economic decline in the second quarter of 2020 vs. confirmed COVID-19 cases per million people", "xAxis": {"label": "GDP growth from previous year, 2020 Q2"}, "yAxis": {"min": 0, "label": "Confirmed cases per million people (Aug 30)"}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 1134, "minTime": 1134, "version": 2899, "subtitle": "The vertical axis shows the number of confirmed COVID-19 cases per million, as of August 30. The horizontal axis shows the percentage decline of GDP relative to the same quarter in 2019. It is adjusted for inflation.", "originUrl": "ourworldindata.org/coronavirus", "chartTypes": ["ScatterPlot"], "dimensions": [{"display": {"tableDisplay": {}}, "property": "y", "variableId": 954541}, {"display": {"tableDisplay": {}}, "property": "x", "targetYear": 2020, "variableId": 143365}, {"display": {"tableDisplay": {}}, "property": "color", "variableId": 900801}], "isPublished": true, "hideTimeline": true, "excludedEntityNames": ["China"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4462, "map": {"colorScale": {}, "columnSlug": "142587"}, "note": "Due to varying protocols and challenges in the attribution of the cause of death, the number of confirmed deaths may not accurately represent the true number of deaths caused by COVID-19. Data for China is not shown given the earlier timing of its economic downturn. The country saw positive growth of 3.2% in Q2 preceded by a fall of 6.8% in Q1.", "slug": "q2-gdp-growth-vs-confirmed-deaths-due-to-covid-19-per-million-people", "title": "Economic decline in the second quarter of 2020 vs. total confirmed COVID-19 deaths (as of August 2020)", "xAxis": {"label": "GDP growth from previous year, 2020 Q2"}, "yAxis": {"min": 0, "label": "Confirmed deaths per million people (Aug 30)", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "maxTime": 222, "minTime": 222, "version": 2912, "subtitle": "The vertical axis shows the number of COVID-19 deaths per million, as of August 30, 2020. The horizontal axis shows the percentage decline of GDP relative to the same quarter in 2019. It is adjusted for inflation.", "originUrl": "ourworldindata.org/coronavirus", "chartTypes": ["ScatterPlot"], "dimensions": [{"property": "y", "variableId": 954543}, {"display": {"tolerance": 100, "tableDisplay": {}}, "property": "x", "targetYear": 2020, "variableId": 143365}, {"display": {"tableDisplay": {}}, "property": "color", "variableId": 900801}], "isPublished": true, "hideTimeline": true, "relatedQuestions": [{"url": "https://ourworldindata.org/covid-health-economy", "text": "Which countries have protected both health and the economy in the pandemic?"}], "excludedEntityNames": ["China"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4198, "map": {"colorScale": {"baseColorScheme": "RdYlBu", "binningStrategy": "manual", "colorSchemeInvert": true, "customNumericColors": ["#2166ac", "#4393c3", "#92c5de", "#d1e5f0", "#fddbc7", "#f4a582", "#d6604d", "#b2182b"], "customNumericValues": [1, 2, 3, 5, 10, 20, 30, 50], "customNumericColorsActive": true}, "columnSlug": "738518"}, "tab": "map", "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.", "slug": "positive-rate-daily-smoothed", "title": "The share of COVID-19 tests that are positive", "yAxis": {"min": 0.7, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 454, "subtitle": "[**DEPRECATED CHART**](#dod:deprecated). 7-day rolling average. Comparisons across countries are affected by differences in testing policies and reporting methods.", "hasMapTab": true, "originUrl": "ourworldindata.org/coronavirus", "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"tableDisplay": {}, "includeInTable": true}, "property": "y", "variableId": 984187}], "isPublished": true, "relatedQuestions": [{"url": "https://ourworldindata.org/covid-testing-data-archived", "text": "Data on tests is no longer updated since June 2022"}], "selectedEntityNames": ["Chile", "South Korea", "South Africa", "India", "United States", "United Kingdom", "Germany"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4197, "map": {"colorScale": {"baseColorScheme": "RdYlBu", "binningStrategy": "manual", "customNumericColors": [null, null, null, null, "#eef9fc", "#d9f3f8", null, null, null], "customNumericValues": [2, 5, 10, 20, 50, 100, 200, 500, 1000], "customNumericColorsActive": true}, "columnSlug": "738517", "timeTolerance": 30}, "tab": "map", "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.", "slug": "tests-per-confirmed-case-daily-smoothed", "title": "Tests conducted per new confirmed case of COVID-19", "yAxis": {"min": 0.7, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 448, "subtitle": "7-day rolling average. Comparisons across countries are affected by differences in testing policies and reporting methods.", "hasMapTab": true, "originUrl": "ourworldindata.org/coronavirus", "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"tolerance": 10, "tableDisplay": {}, "numDecimalPlaces": 1}, "property": "y", "variableId": 984186}], "isPublished": true, "relatedQuestions": [{"url": "https://ourworldindata.org/covid-testing-data-archived", "text": "Data on tests is no longer updated since June 2022"}], "selectedEntityNames": ["South Africa", "United States", "United Kingdom", "South Korea", "Mexico", "Taiwan", "India"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4192, "map": {"colorScale": {"binningStrategy": "equalInterval"}, "columnSlug": "738513"}, "slug": "daily-covid-19-tests-smoothed-7-day", "title": "Daily COVID-19 tests", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 399, "subtitle": "The figures are given as a rolling 7-day average. Comparisons across countries are affected by differences in testing policies and reporting methods.", "hasMapTab": true, "originUrl": "ourworldindata.org/coronavirus", "dimensions": [{"display": {"name": "Daily tests (7-day smoothed)", "unit": "tests", "yearIsDay": true, "entityAnnotationsMap": "Argentina: tests performed\nAustralia: tests performed\nAustria: tests performed\nBahrain: units unclear\nBangladesh: samples tested\nBelarus: tests performed\nBelgium: units unclear\nBolivia: cases tested\nBrazil: tests performed\nBulgaria: tests performed\nCanada: people tested\nChile: tests performed\nColombia: samples tested\nCosta Rica: people tested\nCroatia: people tested\nCuba: tests performed\nCzech Republic: tests performed\nDenmark: people tested\nEcuador: units unclear\nEl Salvador: tests performed\nEstonia: tests performed\nEthiopia: tests performed\nFinland: samples tested\nFrance: tests performed\nGermany: tests performed\nGhana: people tested\nGreece: tests performed\nHong Kong: tests performed\nHungary: tests performed\nIceland: samples tested\nIndia: samples tested\nIndonesia: people tested\nIran: tests performed\nIreland: units unclear\nIsrael: tests performed\nItaly: tests performed\nJapan: people tested\nKazakhstan: tests performed\nKenya: units unclear\nLatvia: tests performed\nLithuania: samples tested\nLuxembourg: people tested\nMalaysia: cases tested\nMexico: cases tested\nMorocco: people tested\nMyanmar: samples tested\nNepal: people tested\nNetherlands: people tested\nNew Zealand: tests performed\nNigeria: samples tested\nNorway: people tested\nPakistan: tests performed\nPanama: units unclear\nParaguay: samples tested\nPeru: units uncl…

{"id": 4191, "map": {"colorScale": {"baseColorScheme": "YlGn", "binningStrategy": "manual", "customNumericColors": [null], "customNumericValues": [0.1, 0.2, 0.5, 1, 2, 5, 10, 20, 50]}, "columnSlug": "738514", "timeTolerance": 30}, "tab": "map", "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.", "slug": "daily-tests-per-thousand-people-smoothed-7-day", "title": "Daily COVID-19 tests per 1,000 people", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 424, "subtitle": "7-day rolling average. Comparisons across countries are affected by differences in testing policies and reporting methods.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/coronavirus", "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Daily tests per thousand people (7-day smoothed)", "unit": "tests per thousand", "tolerance": 10, "yearIsDay": true, "tableDisplay": {}, "entityAnnotationsMap": "Argentina: tests performed\nAustralia: tests performed\nAustria: tests performed\nBahrain: units unclear\nBangladesh: samples tested\nBelarus: tests performed\nBelgium: units unclear\nBolivia: cases tested\nBrazil: tests performed\nBulgaria: tests performed\nCanada: people tested\nChile: tests performed\nColombia: samples tested\nCosta Rica: people tested\nCroatia: people tested\nCuba: tests performed\nCzech Republic: tests performed\nDenmark: people tested\nEcuador: units unclear\nEl Salvador: tests performed\nEstonia: tests performed\nEthiopia: tests performed\nFinland: samples tested\nFrance: tests performed\nGermany: tests performed\nGhana: people tested\nGreece: tests performed\nHong Kong: tests performed\nHungary: tests performed\nIceland: samples tested\nIndia: samples tested\nIndonesia: people tested\nIran: tests performed\nIreland: units unclear\nIsrael: tests performed\nItaly: tests performed\nJapan: people tested\nKazakhstan: tests performed\nKenya: units unclear\nLatvia: tests perfo…

{"id": 4187, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.", "slug": "covid-19-daily-tests-vs-daily-new-confirmed-cases", "title": "COVID-19: Daily tests vs. daily new confirmed cases", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 3461, "subtitle": "7-day rolling average. Comparisons across countries are affected by differences in testing policies and reporting methods.", "originUrl": "ourworldindata.org/coronavirus", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Daily tests", "tolerance": 5}, "property": "y", "variableId": 984183}, {"display": {"name": "Daily new confirmed cases due to COVID-19", "tolerance": 5}, "property": "x", "variableId": 954548}, {"property": "color", "variableId": 900801}], "isPublished": true, "comparisonLines": [{"label": "Positive rate = 100%", "yEquals": "x"}, {"label": "50%", "yEquals": "2*x"}, {"label": "20%", "yEquals": "5*x"}, {"label": "10%", "yEquals": "10*x"}, {"label": "5%", "yEquals": "20*x"}, {"label": "2%", "yEquals": "50*x"}, {"label": "1%", "yEquals": "100*x"}, {"label": "0.5%", "yEquals": "200*x"}, {"label": "0.2%", "yEquals": "500*x"}, {"label": "0.1%", "yEquals": "1000*x"}], "relatedQuestions": [{"url": "https://ourworldindata.org/covid-testing-data-archived", "text": "Data on tests is no longer updated since June 2022"}], "excludedEntityNames": ["Peru", "Ecuador"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4185, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.", "slug": "covid-19-daily-tests-vs-daily-new-confirmed-cases-per-million", "title": "COVID-19: Daily tests vs. daily new confirmed cases per million", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 3469, "subtitle": "7-day rolling average. Comparisons across countries are affected by differences in testing policies and reporting methods.", "originUrl": "ourworldindata.org/coronavirus", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Daily tests per million", "unit": "tests per million", "tolerance": 10, "includeInTable": true, "conversionFactor": 1000}, "property": "y", "variableId": 984184}, {"display": {"name": "Daily confirmed cases per million people", "tolerance": 10, "includeInTable": true}, "property": "x", "variableId": 954550}, {"property": "color", "variableId": 900801}], "isPublished": true, "comparisonLines": [{"label": "Positive rate = 100%", "yEquals": "x"}, {"label": "50%", "yEquals": "2*x"}, {"label": "20%", "yEquals": "5*x"}, {"label": "10%", "yEquals": "10*x"}, {"label": "5%", "yEquals": "20*x"}, {"label": "2%", "yEquals": "50*x"}, {"label": "1%", "yEquals": "100*x"}, {"label": "0.5%", "yEquals": "200*x"}, {"label": "0.2%", "yEquals": "500*x"}, {"label": "0.1%", "yEquals": "1000*x"}, {"label": "0.02%", "yEquals": "5000*x"}], "relatedQuestions": [{"url": "https://ourworldindata.org/covid-testing-data-archived", "text": "Data on tests is no longer updated since June 2022"}], "excludedEntityNames": ["Peru", "Ecuador", "Argentina"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4169, "map": {"colorScale": {"baseColorScheme": "RdBu", "binningStrategy": "manual", "customNumericColors": [null, null, null, null], "customNumericValues": [1, 2, 5, 10, 20, 50, 100, 200]}, "columnSlug": "738516"}, "tab": "map", "slug": "number-of-covid-19-tests-per-confirmed-case-bar-chart", "title": "Total COVID-19 tests per confirmed case", "yAxis": {"max": 0, "min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 461, "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/coronavirus", "dimensions": [{"display": {"tolerance": 10, "numDecimalPlaces": 1}, "property": "y", "variableId": 984185}], "isPublished": true, "variantName": "Bar chart", "selectedEntityNames": ["Indonesia", "Iceland", "Canada", "Czechia", "Ecuador", "Germany", "Sweden", "Taiwan", "United States", "South Korea", "Italy", "Vietnam", "Japan", "India", "South Africa", "New Zealand", "Australia", "Philippines", "Tunisia", "Estonia", "United Kingdom", "Argentina", "Serbia"]}

{"id": 4142, "map": {"colorScale": {"baseColorScheme": "PuRd", "binningStrategy": "manual", "customNumericColors": [null, null, null], "customNumericValues": [5, 10, 20, 30, 40, 50, 100]}, "columnSlug": "738515"}, "tab": "map", "slug": "covid-19-positive-rate-bar", "title": "Share of total COVID-19 tests that were positive", "yAxis": {"max": 0, "min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 465, "subtitle": "Total confirmed cases as a share of the total number of people tested, or the number of tests performed – according to how testing data is reported by the country. Comparisons across countries are affected by differences in testing policies and reporting methods.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/coronavirus", "dimensions": [{"property": "y", "variableId": 984188}], "isPublished": true, "selectedEntityNames": ["Vietnam", "Taiwan", "New Zealand", "Australia", "South Africa", "South Korea", "Estonia", "Czechia", "India", "Iceland", "Tunisia", "Canada", "Argentina", "Japan", "Philippines", "Italy", "Sweden", "Indonesia", "United States", "United Kingdom"]}

{"id": 4103, "map": {"time": 102, "colorScale": {"baseColorScheme": "YlGn", "binningStrategy": "manual", "customNumericColors": [null, null, null, null], "customNumericValues": [1, 2, 5, 10, 15, 20, 40, 100, 150]}, "columnSlug": "142605", "timeTolerance": 10}, "slug": "full-list-cumulative-total-tests-per-thousand", "title": "Total COVID-19 tests per 1,000 people", "yAxis": {"max": 0, "min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 30, "version": 519, "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods.", "originUrl": "https://ourworldindata.org/coronavirus", "dimensions": [{"display": {"tolerance": 10, "includeInTable": true, "numDecimalPlaces": 2}, "property": "y", "variableId": 984180}], "isPublished": true, "variantName": "Line chart", "selectedEntityNames": ["India", "Indonesia", "Italy", "South Africa", "South Korea", "United States", "Denmark", "New Zealand", "Canada"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4099, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "covid-19-tests-cases-scatter-with-comparisons", "title": "Total COVID-19 tests conducted vs. confirmed cases per million", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 3550, "subtitle": "Both measures are shown per million people of the country's population. Comparisons across countries are affected by differences in testing policies and reporting methods.", "originUrl": "https://ourworldindata.org/coronavirus", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Total tests per million people", "tolerance": 30, "conversionFactor": 1000}, "property": "y", "variableId": 984180}, {"display": {"tolerance": 30}, "property": "x", "variableId": 954541}, {"property": "color", "variableId": 900801}], "isPublished": true, "comparisonLines": [{"label": "10x", "yEquals": "10*x"}, {"label": "100x", "yEquals": "100*x"}, {"label": "20x", "yEquals": "20*x"}, {"label": "200x", "yEquals": "200*x"}, {"label": "2x", "yEquals": "2*x"}, {"label": "5x", "yEquals": "5*x"}, {"label": "50x", "yEquals": "50*x"}, {"label": "Number of tests = Number of cases", "yEquals": "x"}], "timelineMinTime": 0, "excludedEntityNames": ["Peru", "Ecuador"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4091, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "covid-19-total-confirmed-cases-vs-total-tests-conducted", "title": "Total COVID-19 tests conducted vs. confirmed cases", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 3538, "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods.", "originUrl": "https://ourworldindata.org/coronavirus", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"unit": "tests", "tolerance": 2}, "property": "y", "variableId": 984179}, {"display": {"tolerance": 2}, "property": "x", "variableId": 954528}, {"property": "color", "variableId": 900801}], "isPublished": true, "comparisonLines": [{"label": "10x", "yEquals": "10*x"}, {"label": "2x", "yEquals": "2*x"}, {"label": "5x", "yEquals": "5*x"}, {"label": "20x", "yEquals": "20*x"}, {"label": "50x", "yEquals": "50*x"}, {"label": "100x", "yEquals": "100*x"}, {"label": "200x", "yEquals": "200*x"}, {"label": "400x", "yEquals": "400*x"}, {"label": "Number of tests = Number of cases", "yEquals": "x"}], "excludedEntityNames": ["Peru", "Ecuador"]}

{"id": 4076, "map": {"colorScale": {"binningStrategy": "equalInterval"}, "columnSlug": "142601", "timeTolerance": 10}, "slug": "full-list-total-tests-for-covid-19", "title": "Total COVID-19 tests", "yAxis": {"max": 0, "min": 0, "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 30, "version": 579, "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods.", "originUrl": "https://ourworldindata.org/coronavirus", "dimensions": [{"display": {"color": "#58888f", "tolerance": 10, "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 984179}], "isPublished": true, "variantName": "Line chart", "selectedEntityNames": ["Ecuador", "India", "Indonesia", "Italy", "Senegal", "South Africa", "South Korea", "Turkey", "United States", "New Zealand"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 4044, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "note": "Our data on COVID-19 tests and positive rate is no longer updated since 23 June 2022.", "slug": "tests-of-covid-19-per-thousand-people-vs-gdp-per-capita", "title": "Total COVID-19 tests per 1,000 vs. GDP per capita", "xAxis": {"scaleType": "log", "canChangeScaleType": true}, "yAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": "latest", "version": 451, "subtitle": "Comparisons across countries are affected by differences in testing policies and reporting methods. GDP per capita is adjusted for inflation and for differences in living costs between countries.", "originUrl": "https://ourworldindata.org/coronavirus", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"tolerance": 14, "includeInTable": true}, "property": "y", "variableId": 984180}, {"property": "x", "targetYear": 2020, "variableId": 1008370}, {"property": "color", "variableId": 900801}], "isPublished": true, "relatedQuestions": [{"url": "https://ourworldindata.org/covid-testing-data-archived", "text": "Data on tests is no longer updated since June 2022"}], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3969, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": [null, null], "customNumericValues": [1000, 3000, 10000, 30000, 100000, 300000, 1000000]}, "columnSlug": "109783"}, "tab": "map", "slug": "number-of-infant-deaths-ihme", "title": "Number of infant deaths", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 21, "subtitle": "The estimated number of infants who die before their first birthday.", "hasMapTab": true, "originUrl": "ourworldindata.org/child-mortality", "dimensions": [{"display": {"unit": "deaths", "includeInTable": true}, "property": "y", "variableId": 944498}], "isPublished": true, "variantName": "IHME", "selectedEntityNames": ["Middle SDI", "World"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3968, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": [null, null], "customNumericValues": [5000, 10000, 25000, 50000, 100000, 250000, 500000, 1000000, 2500000]}, "columnSlug": "735885"}, "tab": "map", "slug": "number-of-neonatal-deaths-igme", "title": "Number of neonatal deaths", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1953, "version": 19, "subtitle": "The estimated number of [neonates](#dod:neonatal) – babies under 28 days old – who die each year.", "hasMapTab": true, "originUrl": "ourworldindata.org/child-mortality", "dimensions": [{"property": "y", "variableId": 988331}], "isPublished": true, "variantName": "UN IGME", "selectedEntityNames": ["Pakistan", "China", "India", "Indonesia", "United States"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3876, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "tab": "map", "slug": "share-of-children-with-a-fever-receiving-antimalarial-drugs", "title": "Share of children with a fever receiving antimalarial drugs", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 12, "subtitle": "The share of children under five years old and ill with fever who received any appropriate anti-malarial drugs.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/malaria", "dimensions": [{"property": "y", "variableId": 1008660}], "isPublished": true, "selectedEntityNames": ["IDA only", "Zimbabwe", "Burundi"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3874, "map": {"colorScale": {"baseColorScheme": "YlGnBu", "binningStrategy": "equalInterval"}, "timeTolerance": 5}, "tab": "map", "slug": "exclusive-breastfeeding-rate", "title": "Exclusive breastfeeding rate", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 16, "subtitle": "The share of infants less than six months old who were fed only with breast milk in the past 24 hours. WHO and UNICEF recommend that children be exclusively breastfed for the first 6 months of life – meaning no other foods or liquids are provided, including water.", "hasMapTab": true, "originUrl": "ourworldindata.org/hunger-and-undernourishment", "dimensions": [{"display": {"unit": "% of children under six months"}, "property": "y", "variableId": 1008679}], "isPublished": true, "selectedEntityNames": ["Angola", "Venezuela", "Colombia"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3873, "map": {"colorScale": {"baseColorScheme": "YlGnBu", "binningStrategy": "manual", "customNumericColors": [null], "customNumericValues": [50, 75, 90, 95, 97.5, 99, 100]}, "columnSlug": "470713", "timeTolerance": 4}, "tab": "map", "slug": "share-of-mothers-receiving-at-least-four-antenatal-visits-during-pregnancy", "title": "Share of mothers receiving at least four antenatal visits during pregnancy", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 21, "subtitle": "An antenatal visit refers to pregnancy care provided by skilled health personnel (doctors, nurses or midwives).", "hasMapTab": true, "originUrl": "https://ourworldindata.org/maternal-mortality", "dimensions": [{"display": {"unit": "%", "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 824176}], "isPublished": true, "selectedEntityNames": ["South Africa", "Sudan", "Brazil", "Mexico", "India", "Vietnam", "Afghanistan", "Mali", "Ethiopia"]}

{"id": 3872, "map": {"colorScale": {"baseColorScheme": "YlGnBu", "binningStrategy": "manual", "customNumericColors": [null, null, null, null, null, null, null], "customNumericValues": [50, 80, 90, 95, 98, 99, 100]}, "timeTolerance": 8}, "tab": "map", "slug": "share-of-mothers-receiving-at-least-one-antenatal-visit-during-pregnancy", "title": "Share of mothers visited by a health professional during pregnancy", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 25, "subtitle": "The estimated share of women who have had a live birth who were visited at least once during pregnancy by a skilled health personnel for reasons related to pregnancy.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/maternal-mortality", "dimensions": [{"display": {"tolerance": 8}, "property": "y", "variableId": 1008675}], "isPublished": true, "selectedEntityNames": ["China", "Indonesia", "Nepal", "Senegal"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3799, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": [null, null, null], "customNumericValues": [5000, 10000, 25000, 50000, 100000, 250000, 500000, 1000000, 2500000]}, "columnSlug": "418553"}, "tab": "map", "slug": "number-of-neonatal-deaths-ihme", "title": "Number of neonatal deaths", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 20, "subtitle": "The estimated number of [neonates](#dod:neonatal) – newborns under 28 days of age – who die each year.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/child-mortality", "dimensions": [{"display": {"includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 530895}], "isPublished": true, "variantName": "IHME", "selectedEntityNames": ["Honduras", "Italy", "Saint Kitts and Nevis"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3798, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": [null, null, null], "customNumericValues": [0.2, 0.5, 1, 2, 5, 10, 20, 50]}, "columnSlug": "109782"}, "tab": "map", "slug": "infant-mortality-rate", "title": "Infant mortality rate", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 19, "subtitle": "The share of newborns who die before reaching one year of age.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/child-mortality", "dimensions": [{"display": {"unit": "%", "shortUnit": "%", "includeInTable": true, "conversionFactor": 0.001}, "property": "y", "variableId": 946112}], "isPublished": true, "variantName": "IHME", "internalNotes": "IHME", "selectedEntityNames": ["World"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3772, "map": {"colorScale": {"baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": [null, null, null, null], "customNumericValues": [1000, 3000, 10000, 30000, 100000, 300000, 1000000, 3000000, 10000000, 30000000]}, "columnSlug": "105812"}, "slug": "number-of-child-deaths", "title": "Number of child deaths", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 19, "subtitle": "The number of children dying before reaching the age of five.", "hasMapTab": true, "originUrl": "ourworldindata.org/child-mortality", "dimensions": [{"property": "y", "variableId": 922061}], "isPublished": true, "variantName": "IHME", "selectedEntityNames": ["India", "World", "China", "Nigeria"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3355, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "note": "The income concept in general does not include capital gains, but the degree to which this holds varies between countries. ", "slug": "share-of-women-in-top-income-groups-atkinson-casarico-voitchovsky-2018", "title": "Share of women in top income groups", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 10, "subtitle": "Percentage of individuals falling into top income brackets that are women. Figures relate to total income before tax, including earned, investment and self-employment income.", "originUrl": "https://ourworldindata.org/economic-inequality", "dimensions": [{"display": {"color": "#3c4e66", "includeInTable": true}, "property": "y", "variableId": 99623}, {"display": {"color": "#b13507", "includeInTable": true}, "property": "y", "variableId": 99625}, {"display": {"color": "#00847e", "includeInTable": true}, "property": "y", "variableId": 99624}, {"display": {"color": "#6d3e91", "includeInTable": true}, "property": "y", "variableId": 99622}, {"display": {"color": "#cf0a66", "includeInTable": true}, "property": "y", "variableId": 99620}, {"display": {"color": "#883039", "includeInTable": true}, "property": "y", "variableId": 99621}], "isPublished": true, "addCountryMode": "change-country", "selectedEntityNames": ["UK"], "selectedEntityColors": {"UK": "#96DC8C"}, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3234, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "gini-index-of-income-in-2015-vs-1990-gcip-survey-years-only", "title": "Gini index of income in 2015 vs. 1990", "xAxis": {"max": 85, "min": 20}, "yAxis": {"max": 85, "min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 24, "subtitle": "Where income surveys are not available, figures are estimated based on consumption surveys.", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"property": "y", "variableId": 98921}, {"property": "x", "variableId": 98922}, {"display": {"name": "Population", "includeInTable": true}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 98923}], "isPublished": true, "variantName": "Survey years only", "comparisonLines": [{"yEquals": "x"}], "hideRelativeToggle": false, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3233, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "gini-index-of-consumption-in-2015-vs-1990-gcip-survey-years-only", "title": "Gini index of consumption in 2015 vs. 1990", "xAxis": {"max": 85, "min": 20}, "yAxis": {"max": 85, "min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 26, "subtitle": "Where consumption surveys are not available, figures are estimated based on income surveys.", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"property": "y", "variableId": 98919}, {"property": "x", "variableId": 98920}, {"display": {"name": "Population", "includeInTable": true}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 98923}], "isPublished": true, "variantName": "Income only", "comparisonLines": [{"yEquals": "x"}], "hideRelativeToggle": false, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3231, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "gini-index-of-income-in-2015-vs-1990-gcip-including-non-survey-years", "title": "Gini index of income in 2015 vs. 1990", "xAxis": {"max": 85, "min": 20}, "yAxis": {"max": 85, "min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 27, "subtitle": "Where income surveys are not available, figures are estimated based on results from adjacent surveys of both consumption and income.", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"property": "y", "variableId": 98929}, {"property": "x", "variableId": 98928}, {"display": {"name": "Population", "includeInTable": true}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 98923}], "isPublished": true, "variantName": "Inc. non-survey years", "comparisonLines": [{"yEquals": "x"}], "hideRelativeToggle": false, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3230, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "gini-index-of-consumption-in-2015-vs-1990-gcip", "title": "Gini index of consumption in 2015 vs. 1990", "xAxis": {"max": 85, "min": 20}, "yAxis": {"max": 85, "min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 24, "subtitle": "Where consumption surveys are not available, figures are estimated based on results from adjacent surveys of both consumption and income.", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"property": "y", "variableId": 98926}, {"property": "x", "variableId": 98925}, {"display": {"name": "Population", "includeInTable": true}, "property": "size", "variableId": 953903}, {"property": "color", "variableId": 98923}], "isPublished": true, "variantName": "Consumption & income", "comparisonLines": [{"yEquals": "x"}], "hideRelativeToggle": false, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3150, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "gini-index-around-2015-vs-gini-index-around-2000", "title": "Gini Index around 2015 vs. Gini Index around 2000", "xAxis": {"min": 20}, "yAxis": {"min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 22, "subtitle": "Estimates are based on household survey data of either incomes or consumption. Countries are only shown where comparable surveys falling within three years of each reference year were available.", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Gini Index around 2015", "includeInTable": true}, "property": "y", "variableId": 98737}, {"display": {"name": "Gini Index around 2000", "includeInTable": true}, "property": "x", "variableId": 98736}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 98735}], "isPublished": true, "hideTimeline": true, "comparisonLines": [{"yEquals": "x"}], "hideRelativeToggle": false, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 3149, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "note": "Estimates are based on household survey data of either incomes or consumption. All countries for which comparable surveys within five years of each reference year were available are shown.", "slug": "gini-index-around-2015-1990-2015-countries-vs-gini-index-around-1990-1990-2015-countries", "title": "Inequality in 1990 vs. 2015", "xAxis": {"min": 20}, "yAxis": {"min": 20}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 28, "subtitle": "A higher Gini index represents higher inequality.", "originUrl": "https://ourworldindata.org/economic-inequality", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Gini Index around 2015", "includeInTable": true}, "property": "y", "variableId": 98734}, {"display": {"name": "Gini Index around 1990", "includeInTable": true}, "property": "x", "variableId": 98733}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 98732}], "isPublished": true, "hideTimeline": true, "comparisonLines": [{"yEquals": "x"}], "hideRelativeToggle": false, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 2670, "map": {"colorScale": {"binningStrategy": "equalInterval"}}, "slug": "deaths-in-state-based-conflicts-by-region", "title": "Deaths in state-based conflicts by region", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 34, "subtitle": "Included are deaths of combatants and civilians due to fighting in [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), and [extrasystemic](#dod:extrasystemic-ucdp) conflicts that were ongoing that year.", "originUrl": "ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"property": "y", "variableId": 985450}], "entityType": "region", "isPublished": true, "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["Asia and Oceania", "Middle East", "Europe", "Americas", "Africa"], "selectedEntityColors": {"Africa": "#a2559c", "Europe": "#4c6a9c", "Americas": "#e56e5a", "Middle East": "#bc8e5a", "Asia & Oceania": "#00847e", "Asia and Oceania": "#00847e"}, "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}}

{"id": 2587, "map": {"colorScale": {"binningStrategy": "equalInterval", "customNumericMinValue": 0}}, "note": "Some conflicts affect several regions. The sum across all regions can therefore be higher than the global number.", "slug": "number-of-armed-conflicts", "title": "Number of armed conflicts", "yAxis": {"min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "minTime": 1989, "version": 46, "subtitle": "Included are [interstate](#dod:interstate-ucdp), [intrastate](#dod:intrastate-ucdp), [extrasystemic](#dod:extrasystemic-ucdp), [non-state](#dod:nonstate-ucdp) conflicts, and [one-sided violence](#dod:onesided-ucdp) that were ongoing that year.", "originUrl": "ourworldindata.org/war-and-peace", "chartTypes": ["StackedBar"], "dimensions": [{"display": {"name": "One-sided violence", "includeInTable": true}, "property": "y", "variableId": 985496}, {"display": {"name": "Extrasystemic", "includeInTable": true}, "property": "y", "variableId": 985385}, {"display": {"name": "Non-state", "includeInTable": true}, "property": "y", "variableId": 985484}, {"display": {"name": "Intrastate", "includeInTable": true}, "property": "y", "variableId": 985432}, {"display": {"name": "Interstate", "includeInTable": true}, "property": "y", "variableId": 985407}], "entityType": "region", "sourceDesc": "Uppsala Conflict Data Program (2024)", "isPublished": true, "timelineMinTime": 1989, "entityTypePlural": "regions", "relatedQuestions": [{"url": "https://ourworldindata.org/conflict-data-how-do-researchers-measure-armed-conflicts-and-their-deaths", "text": "How do different approaches measure armed conflicts and their deaths?"}], "hideRelativeToggle": false, "selectedEntityNames": ["World"], "facettingLabelByYVariables": "conflict type", "hideAnnotationFieldsInTitle": {"time": true}}

{"id": 2349, "map": {"colorScale": {"baseColorScheme": "Purples", "binningStrategy": "manual", "customNumericValues": [20, 25, 30, 35, 40, 45, 50], "customNumericMinValue": 1000}}, "tab": "map", "slug": "wealth-share-richest-1-percent", "title": "Wealth share of the richest 1%", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 19, "subtitle": "The share of wealth owned by the richest 1% of the population. Wealth is defined as the total value of non-financial and financial assets (housing, land, deposits, bonds, equities, etc.) held by households, minus their debts.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-inequality", "dimensions": [{"display": {"tolerance": 5}, "property": "y", "variableId": 1016071}], "isPublished": true, "variantName": "WID", "selectedEntityNames": ["China", "France", "Russia", "United Kingdom", "United States", "South Africa", "Finland"]}

{"id": 2346, "map": {"colorScale": {"binningStrategy": "equalInterval", "customNumericMinValue": 0}}, "slug": "share-of-wealth-held-by-top-1-chartbook-of-economic-inequality-2017", "title": "Wealth share of the richest 1%", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.007.json", "version": 11, "subtitle": "The share of wealth received by the richest 1% of the population.", "originUrl": "https://ourworldindata.org/economic-inequality", "dimensions": [{"property": "y", "variableId": 85942}], "isPublished": false, "variantName": "Chartbook of Economic Inequality", "selectedEntityNames": ["Sweden", "Norway", "Spain", "Australia", "Finland", "France", "Italy", "Netherlands", "New Zealand", "Switzerland", "United Kingdom", "United States"]}