chart_configs

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0 0 0191b6c7-3629-74fd-9ebc-abcf9a99c1d2 {"id": 20, "map": {"colorScale": {"baseColorScheme": "GnBu", "binningStrategy": "manual", "legendDescription": "Average height of men", "customNumericLabels": ["", "", "", "", "", "", "", "", "", "", "", "", ""], "customNumericValues": [150, 155, 160, 165, 170, 175, 180, 185]}, "timeTolerance": 10}, "slug": "average-height-of-men-for-selected-countries", "title": "Average height of men by year of birth", "yAxis": {"min": 160}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 13, "subtitle": "", "hasMapTab": true, "originUrl": "https://ourworldindata.org/human-height/", "colorScale": {"baseColorScheme": "OwidDistinctLines"}, "dimensions": [{"display": {"name": "", "unit": "", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1004914}], "isPublished": true, "variantName": "University of Tuebingen", "selectedEntityNames": ["United States", "Brazil", "Germany", "Nigeria", "India", "Australia"]} {"id": 20, "map": {"colorScale": {"baseColorScheme": "GnBu", "binningStrategy": "manual", "legendDescription": "Average height of men", "customNumericLabels": ["", "", "", "", "", "", "", "", "", "", "", "", ""], "customNumericValues": [150, 155, 160, 165, 170, 175, 180, 185]}, "timeTolerance": 10}, "slug": "average-height-of-men-for-selected-countries", "title": "Average height of men by year of birth", "yAxis": {"min": 160}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 13, "subtitle": "", "hasMapTab": true, "originUrl": "https://ourworldindata.org/human-height/", "colorScale": {"baseColorScheme": "OwidDistinctLines"}, "dimensions": [{"display": {"name": "", "unit": "", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1004914}], "isPublished": true, "variantName": "University of Tuebingen", "selectedEntityNames": ["United States", "Brazil", "Germany", "Nigeria", "India", "Australia"]} average-height-of-men-for-selected-countries LineChart 2015-07-02 07:05:32 2024-12-31 18:48:54 xaMOSZge1Pg0hAKqz1xlSA==
1 1 0191b6c7-3630-7096-87ab-3ca7bb39292b {"id": 26, "map": {"colorScale": {"baseColorScheme": "Greens", "binningStrategy": "manual", "legendDescription": "Ratio of exports and imports to GDP (in %)", "customNumericValues": [0, 20, 40, 60, 80, 100, 120]}, "columnSlug": "539765", "timeTolerance": 1}, "tab": "map", "slug": "trade-openness", "title": "Trade openness", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 15, "subtitle": "Trade openness is measured as the sum of a country's exports and imports as a share of that country's GDP (in %).", "hasMapTab": true, "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [{"property": "y", "variableId": 539765}], "isPublished": false, "selectedEntityNames": ["Mali", "Qatar", "Fiji"]} {"id": 26, "map": {"colorScale": {"baseColorScheme": "Greens", "binningStrategy": "manual", "legendDescription": "Ratio of exports and imports to GDP (in %)", "customNumericValues": [0, 20, 40, 60, 80, 100, 120]}, "columnSlug": "539765", "timeTolerance": 1}, "tab": "map", "slug": "trade-openness", "title": "Trade openness", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 15, "subtitle": "Trade openness is measured as the sum of a country's exports and imports as a share of that country's GDP (in %).", "hasMapTab": true, "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [{"property": "y", "variableId": 539765}], "isPublished": false, "selectedEntityNames": ["Mali", "Qatar", "Fiji"]} trade-openness LineChart 2015-07-07 18:57:10 2024-09-05 09:00:28 wsApA0MupSEX3v77uVmm7Q==
2 2 0191b6c7-3633-7685-a88f-7d62ad391cb7 {"id": 27, "map": {"region": "Europe", "colorScale": {"baseColorScheme": "PuBu", "binningStrategy": "manual", "legendDescription": "Sum of exports and imports as a % of GDP", "customNumericValues": [0, 10, 20, 30, 40, 50, 60, 300]}, "columnSlug": "35", "timeTolerance": 1}, "slug": "trade-openness-in-europe", "title": "Trade openness in Europe", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 6, "subtitle": "Shown is the sum of exports and imports as a share of GDP.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [{"display": {"name": "Historical European trade", "shortUnit": "%", "tolerance": 5, "isProjection": false, "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 35}], "isPublished": true, "selectedEntityNames": ["Sweden", "Spain", "Italy", "Germany", "France", "United Kingdom"]} {"id": 27, "map": {"region": "Europe", "colorScale": {"baseColorScheme": "PuBu", "binningStrategy": "manual", "legendDescription": "Sum of exports and imports as a % of GDP", "customNumericValues": [0, 10, 20, 30, 40, 50, 60, 300]}, "columnSlug": "35", "timeTolerance": 1}, "slug": "trade-openness-in-europe", "title": "Trade openness in Europe", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 6, "subtitle": "Shown is the sum of exports and imports as a share of GDP.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [{"display": {"name": "Historical European trade", "shortUnit": "%", "tolerance": 5, "isProjection": false, "includeInTable": true, "numDecimalPlaces": 0}, "property": "y", "variableId": 35}], "isPublished": true, "selectedEntityNames": ["Sweden", "Spain", "Italy", "Germany", "France", "United Kingdom"]} trade-openness-in-europe LineChart 2015-07-07 19:07:38 2024-09-05 09:00:28 YPfuhdgq5nlqY2ym0NX/eg==
3 3 0191b6c7-3635-7342-85ea-fd6b6c760ba5 {"id": 31, "map": {"time": 2025, "colorScale": {"baseColorScheme": "YlOrBr", "binningStrategy": "manual", "legendDescription": "Share of the population with no education", "customNumericColors": ["#000", "#c00", "#0c0", "#00c", "#c0c", null], "customNumericValues": [0, 10, 20, 30, 40, 50, 60, 70]}, "timeTolerance": 1}, "tab": "map", "note": "Projections are based on Medium (SSP2) scenario.", "slug": "projections-of-the-rate-of-no-education-based-on-current-global-education-trends-1970-2050", "title": "Share of the population with no formal education", "yAxis": {"max": 1, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 24, "subtitle": "Formal education is [primary](#dod:primary-education) or higher.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/global-education", "dimensions": [{"display": {"name": "IIASA rates of no education projections", "tolerance": 5, "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1003939}], "isPublished": true, "variantName": "IIASA", "selectedEntityNames": ["Chad", "China", "India", "Laos", "Nepal", "Nigeria", "Vietnam", "South Africa", "Egypt", "Brazil", "Argentina", "United States", "Germany", "United Kingdom"]} {"id": 31, "map": {"time": 2025, "colorScale": {"baseColorScheme": "YlOrBr", "binningStrategy": "manual", "legendDescription": "Share of the population with no education", "customNumericColors": ["#000", "#c00", "#0c0", "#00c", "#c0c", null], "customNumericValues": [0, 10, 20, 30, 40, 50, 60, 70]}, "timeTolerance": 1}, "tab": "map", "note": "Projections are based on Medium (SSP2) scenario.", "slug": "projections-of-the-rate-of-no-education-based-on-current-global-education-trends-1970-2050", "title": "Share of the population with no formal education", "yAxis": {"max": 1, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 24, "subtitle": "Formal education is [primary](#dod:primary-education) or higher.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/global-education", "dimensions": [{"display": {"name": "IIASA rates of no education projections", "tolerance": 5, "includeInTable": true, "numDecimalPlaces": 1}, "property": "y", "variableId": 1003939}], "isPublished": true, "variantName": "IIASA", "selectedEntityNames": ["Chad", "China", "India", "Laos", "Nepal", "Nigeria", "Vietnam", "South Africa", "Egypt", "Brazil", "Argentina", "United States", "Germany", "United Kingdom"]} projections-of-the-rate-of-no-education-based-on-current-global-education-trends-1970-2050 LineChart 2015-07-09 21:41:31 2025-02-10 15:54:54 MmHXmNzRJ8XvwQhqzetxcQ==
4 4 0191b6c7-3638-7d0f-b578-d0ade7504602 {"id": 44, "map": {"time": 1950, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "manual", "legendDescription": "", "customNumericColors": ["#000", "#c00", "#0c0", "#00c", "#c0c"], "customNumericValues": [0]}, "timeTolerance": 10}, "note": "To allow for comparisons between countries and over time, this metric is [age-standardized](#dod:age_standardized). All deaths in a country may not have been registered with a [cause of death](#dod:underlying-cause-of-death).", "slug": "lung-cancer-deaths-per-100000-by-sex-1950-2002", "title": "Lung cancer death rates", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": 1950, "version": 16, "subtitle": "Reported annual death rate from lung, bronchus or trachea [cancers](#dod:cancer) per 100,000 people, based on the [underlying cause](#dod:underlying-cause-of-death) listed on death certificates.", "originUrl": "https://ourworldindata.org/smoking", "dimensions": [{"display": {"name": "Women", "includeInTable": true}, "property": "y", "variableId": 965245}, {"display": {"name": "Men", "unit": "deaths per 100,000 people", "includeInTable": true}, "property": "y", "variableId": 966633}], "isPublished": true, "addCountryMode": "change-country", "baseColorScheme": "owid-distinct", "invertColorScheme": true, "selectedEntityNames": ["United States"], "selectedEntityColors": {"United States": "#b13507"}, "hideAnnotationFieldsInTitle": {"time": true}} {"id": 44, "map": {"time": 1950, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "manual", "legendDescription": "", "customNumericColors": ["#000", "#c00", "#0c0", "#00c", "#c0c"], "customNumericValues": [0]}, "timeTolerance": 10}, "note": "To allow for comparisons between countries and over time, this metric is [age-standardized](#dod:age_standardized). All deaths in a country may not have been registered with a [cause of death](#dod:underlying-cause-of-death).", "slug": "lung-cancer-deaths-per-100000-by-sex-1950-2002", "title": "Lung cancer death rates", "yAxis": {"max": 0, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": 1950, "version": 16, "subtitle": "Reported annual death rate from lung, bronchus or trachea [cancers](#dod:cancer) per 100,000 people, based on the [underlying cause](#dod:underlying-cause-of-death) listed on death certificates.", "originUrl": "https://ourworldindata.org/smoking", "dimensions": [{"display": {"name": "Women", "includeInTable": true}, "property": "y", "variableId": 965245}, {"display": {"name": "Men", "unit": "deaths per 100,000 people", "includeInTable": true}, "property": "y", "variableId": 966633}], "isPublished": true, "addCountryMode": "change-country", "baseColorScheme": "owid-distinct", "invertColorScheme": true, "selectedEntityNames": ["United States"], "selectedEntityColors": {"United States": "#b13507"}, "hideAnnotationFieldsInTitle": {"time": true}} lung-cancer-deaths-per-100000-by-sex-1950-2002 LineChart 2015-07-18 22:13:24 2024-09-13 11:12:13 vk05yzc/hflshBR7TwWDMw==
5 5 0191b6c7-363d-7a4b-8cb6-fb25da1327a1 {"id": 46, "map": {"colorScale": {"baseColorScheme": "PuBu", "binningStrategy": "manual", "legendDescription": "Subscriptions per 100 people", "customNumericColors": ["#000", null, null, null], "customNumericValues": [0, 1000000, 3000000, 10000000, 30000000, 100000000, 300000000, 1000000000, 3000000000]}, "timeTolerance": 5}, "tab": "map", "slug": "mobile-cellular-subscriptions-by-country", "title": "Mobile phone subscriptions", "yAxis": {"max": 200, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 26, "hasMapTab": true, "originUrl": "https://ourworldindata.org/technological-change", "dimensions": [{"display": {"unit": "subscriptions", "tolerance": 5, "numDecimalPlaces": 0}, "property": "y", "variableId": 1008187}], "isPublished": true, "timelineMinTime": 1980, "relatedQuestions": [{"url": "https://ourworldindata.org/grapher/mobile-cellular-subscriptions-per-100-people?country=~OWID_WRL", "text": "Per 100 people"}], "selectedEntityNames": ["United States", "China", "India", "United Kingdom", "Japan"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}} {"id": 46, "map": {"colorScale": {"baseColorScheme": "PuBu", "binningStrategy": "manual", "legendDescription": "Subscriptions per 100 people", "customNumericColors": ["#000", null, null, null], "customNumericValues": [0, 1000000, 3000000, 10000000, 30000000, 100000000, 300000000, 1000000000, 3000000000]}, "timeTolerance": 5}, "tab": "map", "slug": "mobile-cellular-subscriptions-by-country", "title": "Mobile phone subscriptions", "yAxis": {"max": 200, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 26, "hasMapTab": true, "originUrl": "https://ourworldindata.org/technological-change", "dimensions": [{"display": {"unit": "subscriptions", "tolerance": 5, "numDecimalPlaces": 0}, "property": "y", "variableId": 1008187}], "isPublished": true, "timelineMinTime": 1980, "relatedQuestions": [{"url": "https://ourworldindata.org/grapher/mobile-cellular-subscriptions-per-100-people?country=~OWID_WRL", "text": "Per 100 people"}], "selectedEntityNames": ["United States", "China", "India", "United Kingdom", "Japan"], "hideAnnotationFieldsInTitle": {"time": true, "entity": true, "changeInPrefix": true}} mobile-cellular-subscriptions-by-country LineChart 2015-07-20 16:36:56 2025-01-29 08:48:17 HEbbM1+enpvOUWQdIfkfqQ==
6 6 0191b6c7-3645-760a-949f-3267a1f0069f {"id": 51, "map": {"time": 1980, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "timeTolerance": 1}, "slug": "correlation-between-child-mortality-and-mean-years-of-schooling-for-those-aged-15-and-older", "title": "Child mortality vs. average years of schooling for women", "xAxis": {"max": 15, "min": 0}, "yAxis": {"max": 50, "min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": "latest", "version": 40, "subtitle": "The child mortality rate is the share of children who die before reaching the age of five.", "originUrl": "https://ourworldindata.org/child-mortality/", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Child mortality", "unit": "deaths per 100 live births"}, "property": "y", "variableId": 1027772}, {"display": {"name": "Average years of education for 15-64 years female youth and adults"}, "property": "x", "variableId": 809140}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "timelineMinTime": 1950, "hideRelativeToggle": false, "excludedEntityNames": ["World", "Lower-middle-income countries", "Low-income countries", "High-income countries", "Upper-middle-income countries"], "compareEndPointsOnly": true} {"id": 51, "map": {"time": 1980, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "timeTolerance": 1}, "slug": "correlation-between-child-mortality-and-mean-years-of-schooling-for-those-aged-15-and-older", "title": "Child mortality vs. average years of schooling for women", "xAxis": {"max": 15, "min": 0}, "yAxis": {"max": 50, "min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": "latest", "version": 40, "subtitle": "The child mortality rate is the share of children who die before reaching the age of five.", "originUrl": "https://ourworldindata.org/child-mortality/", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Child mortality", "unit": "deaths per 100 live births"}, "property": "y", "variableId": 1027772}, {"display": {"name": "Average years of education for 15-64 years female youth and adults"}, "property": "x", "variableId": 809140}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "timelineMinTime": 1950, "hideRelativeToggle": false, "excludedEntityNames": ["World", "Lower-middle-income countries", "Low-income countries", "High-income countries", "Upper-middle-income countries"], "compareEndPointsOnly": true} correlation-between-child-mortality-and-mean-years-of-schooling-for-those-aged-15-and-older ScatterPlot 2015-07-21 21:01:27 2025-04-28 14:25:44 e4F8EFD56SZSEQqutxgDlA==
7 7 0191b6c7-3647-7755-94db-3281edad9f2c {"id": 52, "map": {"time": 1980, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "columnSlug": "65", "timeTolerance": 1}, "slug": "wage-of-craftsmen-relative-to-that-of-laborers-in-england-1200-2000", "title": "Wage of craftsmen relative to that of laborers in England", "xAxis": {"min": 1200}, "yAxis": {"max": 2.2, "min": 1}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 9, "originUrl": "https://ourworldindata.org/economic-inequality", "dimensions": [{"display": {"name": "", "unit": "", "tolerance": 5, "isProjection": false, "includeInTable": true}, "property": "y", "variableId": 65}], "hideLegend": true, "isPublished": true, "selectedEntityNames": ["Relative wages"], "hideAnnotationFieldsInTitle": {"entity": true}} {"id": 52, "map": {"time": 1980, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "columnSlug": "65", "timeTolerance": 1}, "slug": "wage-of-craftsmen-relative-to-that-of-laborers-in-england-1200-2000", "title": "Wage of craftsmen relative to that of laborers in England", "xAxis": {"min": 1200}, "yAxis": {"max": 2.2, "min": 1}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 9, "originUrl": "https://ourworldindata.org/economic-inequality", "dimensions": [{"display": {"name": "", "unit": "", "tolerance": 5, "isProjection": false, "includeInTable": true}, "property": "y", "variableId": 65}], "hideLegend": true, "isPublished": true, "selectedEntityNames": ["Relative wages"], "hideAnnotationFieldsInTitle": {"entity": true}} wage-of-craftsmen-relative-to-that-of-laborers-in-england-1200-2000 LineChart 2015-07-22 16:06:57 2024-09-05 09:00:28 hItogekzvrsyHPhFVetT5w==
8 8 0191b6c7-364a-786d-93a6-4520998856a1 {"id": 53, "map": {"time": 2009, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": "", "customNumericColors": ["#000", "#c00", "#0c0", "#00c", "#c0c"]}, "columnSlug": "66", "timeTolerance": 10}, "slug": "labor-cost-ratio-and-attainment-levels-2009-or-latest-available-year", "title": "Labor cost ratio and attainment levels", "yAxis": {"max": 4, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 21, "subtitle": "Labor cost ratio of tertiary-educated individuals (5/6) to below upper secondary-educated individuals (0/1/2) and attainment levels of 45-54 year-olds", "originUrl": "ourworldindata.org/global-education", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Labor cost ratio ISCED 5/6 to ISCED 0/1/2 (45-54 year-olds)", "unit": "", "tolerance": 5}, "property": "y", "targetYear": 2009, "variableId": 66}, {"display": {"name": "Proportion of 45-54 year-olds with tertiary education (ISCED 5/6)", "unit": "", "tolerance": 5}, "property": "x", "targetYear": 2009, "variableId": 67}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "hideTimeline": true, "hideRelativeToggle": false, "selectedEntityNames": []} {"id": 53, "map": {"time": 2009, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": "", "customNumericColors": ["#000", "#c00", "#0c0", "#00c", "#c0c"]}, "columnSlug": "66", "timeTolerance": 10}, "slug": "labor-cost-ratio-and-attainment-levels-2009-or-latest-available-year", "title": "Labor cost ratio and attainment levels", "yAxis": {"max": 4, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "version": 21, "subtitle": "Labor cost ratio of tertiary-educated individuals (5/6) to below upper secondary-educated individuals (0/1/2) and attainment levels of 45-54 year-olds", "originUrl": "ourworldindata.org/global-education", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Labor cost ratio ISCED 5/6 to ISCED 0/1/2 (45-54 year-olds)", "unit": "", "tolerance": 5}, "property": "y", "targetYear": 2009, "variableId": 66}, {"display": {"name": "Proportion of 45-54 year-olds with tertiary education (ISCED 5/6)", "unit": "", "tolerance": 5}, "property": "x", "targetYear": 2009, "variableId": 67}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "hideTimeline": true, "hideRelativeToggle": false, "selectedEntityNames": []} labor-cost-ratio-and-attainment-levels-2009-or-latest-available-year ScatterPlot 2015-07-22 16:52:48 2024-11-15 17:17:33 1WeTnVfSRcC6/Lampmq3tQ==
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65 65 0191b6c7-36b5-79cf-9c2f-ac79ae5b774d {"id": 250, "map": {"time": 2005, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "timeTolerance": 1}, "slug": "life-satisfaction-vs-child-mortality", "title": "Life satisfaction vs. child mortality", "xAxis": {"min": 0, "canChangeScaleType": true}, "yAxis": {"max": 8, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": "latest", "version": 40, "subtitle": "The vertical axis shows self-reported life satisfaction in the [Cantril Ladder](#dod:cantril-ladder) (0-10 point scale with higher values representing higher life satisfaction). The horizontal axis shows the share of children who die before age five.", "originUrl": "https://ourworldindata.org/happiness-and-life-satisfaction/", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"tolerance": 2}, "property": "y", "variableId": 1025227}, {"display": {"name": "Child mortality", "unit": "deaths per 100 live births", "tolerance": 2}, "property": "x", "variableId": 1027772}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "hideRelativeToggle": false, "matchingEntitiesOnly": true} {"id": 250, "map": {"time": 2005, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "timeTolerance": 1}, "slug": "life-satisfaction-vs-child-mortality", "title": "Life satisfaction vs. child mortality", "xAxis": {"min": 0, "canChangeScaleType": true}, "yAxis": {"max": 8, "min": 0}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": "latest", "version": 40, "subtitle": "The vertical axis shows self-reported life satisfaction in the [Cantril Ladder](#dod:cantril-ladder) (0-10 point scale with higher values representing higher life satisfaction). The horizontal axis shows the share of children who die before age five.", "originUrl": "https://ourworldindata.org/happiness-and-life-satisfaction/", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"tolerance": 2}, "property": "y", "variableId": 1025227}, {"display": {"name": "Child mortality", "unit": "deaths per 100 live births", "tolerance": 2}, "property": "x", "variableId": 1027772}, {"property": "size", "variableId": 953903}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "hideRelativeToggle": false, "matchingEntitiesOnly": true} life-satisfaction-vs-child-mortality ScatterPlot 2016-05-28 01:46:30 2025-04-28 14:25:47 t0TNO47njmYvIDUrxVt4sQ==
66 66 0191b6c7-36b7-779a-8e53-35c101092644 {"id": 251, "map": {"time": 2017, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "timeTolerance": 1}, "note": "GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2021 prices.", "slug": "gdp-vs-happiness", "title": "Self-reported life satisfaction vs. GDP per capita", "xAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": "latest", "version": 50, "subtitle": "Self-reported life satisfaction is measured on a [scale](#dod:cantril-ladder) ranging from 0-10, where 10 is the highest possible life satisfaction. GDP per capita is adjusted for inflation and differences in living costs between countries.", "originUrl": "https://ourworldindata.org/happiness-and-life-satisfaction/", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Life satisfaction", "unit": "0–10", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1025227}, {"property": "x", "variableId": 1008370}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "hideRelativeToggle": false, "compareEndPointsOnly": true, "matchingEntitiesOnly": true} {"id": 251, "map": {"time": 2017, "colorScale": {"baseColorScheme": "BuGn", "binningStrategy": "equalInterval", "legendDescription": ""}, "timeTolerance": 1}, "note": "GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2021 prices.", "slug": "gdp-vs-happiness", "title": "Self-reported life satisfaction vs. GDP per capita", "xAxis": {"min": 0, "scaleType": "log", "canChangeScaleType": true}, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.008.json", "minTime": "latest", "version": 50, "subtitle": "Self-reported life satisfaction is measured on a [scale](#dod:cantril-ladder) ranging from 0-10, where 10 is the highest possible life satisfaction. GDP per capita is adjusted for inflation and differences in living costs between countries.", "originUrl": "https://ourworldindata.org/happiness-and-life-satisfaction/", "chartTypes": ["ScatterPlot"], "colorScale": {"binningStrategy": "equalInterval"}, "dimensions": [{"display": {"name": "Life satisfaction", "unit": "0–10", "tolerance": 5, "includeInTable": true}, "property": "y", "variableId": 1025227}, {"property": "x", "variableId": 1008370}, {"property": "color", "variableId": 900801}], "hideLegend": true, "isPublished": true, "hideRelativeToggle": false, "compareEndPointsOnly": true, "matchingEntitiesOnly": true} gdp-vs-happiness ScatterPlot 2016-05-28 02:15:42 2025-04-02 14:22:56 dZNfMJVSsKps92yI0nkusQ==
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