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id ▲ | slug | type | config | createdAt | updatedAt | lastEditedAt | publishedAt | lastEditedByUserId | publishedByUserId | isIndexable | title | subtitle | note | title_plus_variant | configWithDefaults |
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6420 | share-agreeing-most-people-can-be-trusted-vs-gdp-per-capita | ScatterPlot | { "id": 6420, "note": "For each country, trust data is shown for the latest survey wave in the period 2009-2022. GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "slug": "share-agreeing-most-people-can-be-trusted-vs-gdp-per-capita", "type": "ScatterPlot", "title": "Interpersonal trust vs. GDP per capita", "xAxis": { "min": 0, "scaleType": "log", "canChangeScaleType": true }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 22, "subtitle": "Share of respondents agreeing with statement \"Most people can be trusted\". GDP per capita is adjusted for inflation and differences in the cost of living between countries.", "originUrl": "https://ourworldindata.org/trust", "dimensions": [ { "display": { "name": "Share agreeing \"Most people can be trusted\"", "tolerance": 15 }, "property": "y", "variableId": 816758 }, { "display": { "tolerance": 15 }, "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953899 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "hideTimeline": true, "matchingEntitiesOnly": true, "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2023-03-14 10:22:29 | 2024-07-17 09:56:17 | 2024-07-17 09:56:17 | 2023-03-14 14:34:40 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Interpersonal trust vs. GDP per capita | Share of respondents agreeing with statement "Most people can be trusted". GDP per capita is adjusted for inflation and differences in the cost of living between countries. | For each country, trust data is shown for the latest survey wave in the period 2009-2022. GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. | Interpersonal trust vs. GDP per capita () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 22, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 6420, "note": "For each country, trust data is shown for the latest survey wave in the period 2009-2022. GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "slug": "share-agreeing-most-people-can-be-trusted-vs-gdp-per-capita", "title": "Interpersonal trust vs. GDP per capita", "subtitle": "Share of respondents agreeing with statement \"Most people can be trusted\". GDP per capita is adjusted for inflation and differences in the cost of living between countries.", "originUrl": "https://ourworldindata.org/trust", "dimensions": [ { "display": { "name": "Share agreeing \"Most people can be trusted\"", "tolerance": 15 }, "property": "y", "variableId": 816758 }, { "display": { "tolerance": 15 }, "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953899 }, { "property": "color", "variableId": 123 } ] } |
6402 | share-agreeing-most-people-can-be-trusted-vs-most-people-would-try-to-take-advantage-of-you | ScatterPlot | { "id": 6402, "note": "We include the most recent data available for both questions. In most countries this corresponds to wave 4, 1999-2004.", "slug": "share-agreeing-most-people-can-be-trusted-vs-most-people-would-try-to-take-advantage-of-you", "type": "ScatterPlot", "title": "Share of people that think others can be trusted vs. taken advantage of", "xAxis": { "min": 0 }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "maxTime": 2014, "minTime": 2014, "version": 32, "subtitle": "Share of respondents who agree with the statement \"Most people can be trusted\" vs. the share who agree with the statement \"Most people would try to take advantage of you if they got a chance\".", "originUrl": "ourworldindata.org/trust", "dimensions": [ { "display": { "name": "Share agreeing \"most people can be trusted\"", "tolerance": 15 }, "property": "y", "variableId": 816758 }, { "display": { "tolerance": 15 }, "property": "x", "variableId": 816763 }, { "property": "size", "variableId": 953899 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "hideTimeline": true, "matchingEntitiesOnly": true, "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2023-03-09 13:34:47 | 2024-07-17 09:56:16 | 2024-07-17 09:56:16 | 2023-03-15 15:18:03 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Share of people that think others can be trusted vs. taken advantage of | Share of respondents who agree with the statement "Most people can be trusted" vs. the share who agree with the statement "Most people would try to take advantage of you if they got a chance". | We include the most recent data available for both questions. In most countries this corresponds to wave 4, 1999-2004. | Share of people that think others can be trusted vs. taken advantage of () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": 2014, "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 32, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": 2014, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 6402, "note": "We include the most recent data available for both questions. In most countries this corresponds to wave 4, 1999-2004.", "slug": "share-agreeing-most-people-can-be-trusted-vs-most-people-would-try-to-take-advantage-of-you", "title": "Share of people that think others can be trusted vs. taken advantage of", "subtitle": "Share of respondents who agree with the statement \"Most people can be trusted\" vs. the share who agree with the statement \"Most people would try to take advantage of you if they got a chance\".", "originUrl": "ourworldindata.org/trust", "dimensions": [ { "display": { "name": "Share agreeing \"most people can be trusted\"", "tolerance": 15 }, "property": "y", "variableId": 816758 }, { "display": { "tolerance": 15 }, "property": "x", "variableId": 816763 }, { "property": "size", "variableId": 953899 }, { "property": "color", "variableId": 123 } ] } |
5653 | public-healthcare-spending-share-gdp | LineChart | { "id": 5653, "map": { "colorScale": { "baseColorScheme": "YlGnBu", "binningStrategy": "manual", "customNumericValues": [ 2, 4, 6, 8, 10 ] }, "columnSlug": "736036", "timeTolerance": 1 }, "tab": "map", "slug": "public-healthcare-spending-share-gdp", "title": "Public healthcare expenditure as a share of GDP", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 8, "subtitle": "Domestic general government expenditure on health from domestic sources, expressed as a share of GDP.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/financing-healthcare", "dimensions": [ { "display": { "unit": "% of GDP", "shortUnit": "%", "includeInTable": true, "numDecimalPlaces": 1 }, "property": "y", "variableId": 905895 } ], "isPublished": true, "selectedEntityNames": [ "United Kingdom", "Germany", "Uganda", "United States", "Brazil", "India", "China", "Australia" ] } |
2022-04-08 20:32:42 | 2024-05-31 07:05:09 | 2024-05-31 07:05:09 | 2022-04-08 20:35:28 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Public healthcare expenditure as a share of GDP | Domestic general government expenditure on health from domestic sources, expressed as a share of GDP. | Public healthcare expenditure as a share of GDP () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 8, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 5653, "slug": "public-healthcare-spending-share-gdp", "title": "Public healthcare expenditure as a share of GDP", "subtitle": "Domestic general government expenditure on health from domestic sources, expressed as a share of GDP.", "originUrl": "https://ourworldindata.org/financing-healthcare", "dimensions": [ { "display": { "unit": "% of GDP", "shortUnit": "%", "includeInTable": true, "numDecimalPlaces": 1 }, "property": "y", "variableId": 905895 } ], "selectedEntityNames": [ "United Kingdom", "Germany", "Uganda", "United States", "Brazil", "India", "China", "Australia" ] } |
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5021 | laws-on-child-marriage | LineChart | { "id": 5021, "map": { "colorScale": { "equalSizeBins": true, "baseColorScheme": "RdYlBu", "binningStrategy": "manual", "colorSchemeInvert": true, "customNumericLabels": [ "0", "0.25", "0.5", "0.75", "1" ], "customNumericValues": [ 0.24, 0.25, 0.5, 0.75, 1 ], "customCategoryLabels": { "No data": "" }, "customNumericMinValue": 0 }, "tooltipUseCustomLabels": true }, "tab": "map", "slug": "laws-on-child-marriage", "title": "Legal provisions for child marriage", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 29, "subtitle": "Categories coded as: 0 = marriage prohibited under 18 without exceptions; 0.25 = marriage prohibited under 18 without exceptions, but some customary or traditional laws encourage girl marriage; 0.5 = marriage prohibited under 18 but there are legal exceptions regarding consent and/or some groups of women; 0.75 = marriage allowed under 18 for boys and girls; 1 = marriage allowed under 18 for girls but not boys.", "hasMapTab": true, "originUrl": "ourworldindata.org/violence-against-rights-for-children", "dimensions": [ { "property": "y", "variableId": 146987 } ], "hasChartTab": false, "isPublished": true } |
2021-06-14 20:40:15 | 2024-04-08 12:13:54 | 2021-07-06 20:22:48 | 2021-06-29 19:50:03 | Esteban Ortiz-Ospina 7 | Esteban Ortiz-Ospina 7 | 1 | Legal provisions for child marriage | Categories coded as: 0 = marriage prohibited under 18 without exceptions; 0.25 = marriage prohibited under 18 without exceptions, but some customary or traditional laws encourage girl marriage; 0.5 = marriage prohibited under 18 but there are legal exceptions regarding consent and/or some groups of women; 0.75 = marriage allowed under 18 for boys and girls; 1 = marriage allowed under 18 for girls but not boys. | Legal provisions for child marriage () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": false, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 29, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 5021, "slug": "laws-on-child-marriage", "title": "Legal provisions for child marriage", "subtitle": "Categories coded as: 0 = marriage prohibited under 18 without exceptions; 0.25 = marriage prohibited under 18 without exceptions, but some customary or traditional laws encourage girl marriage; 0.5 = marriage prohibited under 18 but there are legal exceptions regarding consent and/or some groups of women; 0.75 = marriage allowed under 18 for boys and girls; 1 = marriage allowed under 18 for girls but not boys.", "originUrl": "ourworldindata.org/violence-against-rights-for-children", "dimensions": [ { "property": "y", "variableId": 146987 } ] } |
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4684 | average-effective-retirement-women | LineChart | { "id": 4684, "note": "The estimate for each year corresponds to the 5-year interval leading up to that year (e.g. 1970 corresponds to period 1965-70)", "slug": "average-effective-retirement-women", "title": "Average effective age of retirement for women", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "maxTime": "latest", "minTime": "earliest", "version": 10, "subtitle": "Estimates are based on a weighted average of changes in labour force participation rates by age, for workers 40+", "originUrl": "ourworldindata.org/working-hours", "dimensions": [ { "display": { "numDecimalPlaces": 0 }, "property": "y", "variableId": 145528 } ], "sourceDesc": "OECD (2018) - Database on Average Effective Retirement Age", "isPublished": true, "selectedEntityNames": [ "Japan", "Germany", "Mexico", "United States", "Brazil" ] } |
2020-11-29 23:20:31 | 2024-04-08 12:13:54 | 2020-12-02 14:32:51 | 2020-12-02 14:32:51 | Esteban Ortiz-Ospina 7 | Esteban Ortiz-Ospina 7 | 1 | Average effective age of retirement for women | Estimates are based on a weighted average of changes in labour force participation rates by age, for workers 40+ | The estimate for each year corresponds to the 5-year interval leading up to that year (e.g. 1970 corresponds to period 1965-70) | Average effective age of retirement for women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 10, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 4684, "note": "The estimate for each year corresponds to the 5-year interval leading up to that year (e.g. 1970 corresponds to period 1965-70)", "slug": "average-effective-retirement-women", "title": "Average effective age of retirement for women", "subtitle": "Estimates are based on a weighted average of changes in labour force participation rates by age, for workers 40+", "originUrl": "ourworldindata.org/working-hours", "dimensions": [ { "display": { "numDecimalPlaces": 0 }, "property": "y", "variableId": 145528 } ], "sourceDesc": "OECD (2018) - Database on Average Effective Retirement Age", "selectedEntityNames": [ "Japan", "Germany", "Mexico", "United States", "Brazil" ] } |
4683 | average-effective-retirement-men | LineChart | { "id": 4683, "note": "The estimate for each year corresponds to the 5-year interval leading up to that year (e.g. 1970 corresponds to period 1965-70)", "slug": "average-effective-retirement-men", "title": "Average effective age of retirement for men", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "maxTime": "latest", "minTime": "earliest", "version": 11, "subtitle": "Estimates are based on a weighted average of changes in labour force participation rates by age, for workers 40+", "originUrl": "ourworldindata.org/working-hours", "dimensions": [ { "display": { "unit": "years", "shortUnit": "", "numDecimalPlaces": 0 }, "property": "y", "variableId": 145529 } ], "sourceDesc": "OECD (2018) - Database on Average Effective Retirement Age", "isPublished": true, "selectedEntityNames": [ "United States", "United Kingdom", "Mexico", "Brazil", "Germany" ] } |
2020-11-29 23:19:15 | 2024-04-08 12:13:54 | 2020-12-02 14:35:17 | 2020-12-02 14:31:38 | Esteban Ortiz-Ospina 7 | Esteban Ortiz-Ospina 7 | 1 | Average effective age of retirement for men | Estimates are based on a weighted average of changes in labour force participation rates by age, for workers 40+ | The estimate for each year corresponds to the 5-year interval leading up to that year (e.g. 1970 corresponds to period 1965-70) | Average effective age of retirement for men () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 11, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 4683, "note": "The estimate for each year corresponds to the 5-year interval leading up to that year (e.g. 1970 corresponds to period 1965-70)", "slug": "average-effective-retirement-men", "title": "Average effective age of retirement for men", "subtitle": "Estimates are based on a weighted average of changes in labour force participation rates by age, for workers 40+", "originUrl": "ourworldindata.org/working-hours", "dimensions": [ { "display": { "unit": "years", "shortUnit": "", "numDecimalPlaces": 0 }, "property": "y", "variableId": 145529 } ], "sourceDesc": "OECD (2018) - Database on Average Effective Retirement Age", "selectedEntityNames": [ "United States", "United Kingdom", "Mexico", "Brazil", "Germany" ] } |
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2020-11-02 11:34:13 | 2024-04-08 12:13:54 | 2020-11-02 11:39:01 | 2020-11-02 11:36:52 | Esteban Ortiz-Ospina 7 | Esteban Ortiz-Ospina 7 | 1 | Child care time per day, United States | Average time spent on primary childcare activities for parents with children aged 18 and under. | Child care time per day, United States () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 7, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "change-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 4634, "slug": "us-child-care-time-sex", "title": "Child care time per day, United States", "subtitle": "Average time spent on primary childcare activities for parents with children aged 18 and under.", "originUrl": "ourworldindata.org/social-connections-and-loneliness", "dimensions": [ { "display": { "name": "Married fathers", "unit": "minutes", "color": "#b13507", "shortUnit": "mins" }, "property": "y", "variableId": 145258 }, { "display": { "name": "Married mothers", "color": "#3c4e66" }, "property": "y", "variableId": 145260 }, { "display": { "name": "Single mothers", "color": "#4c7f9c" }, "property": "y", "variableId": 145261 } ], "selectedEntityNames": [ "United States" ], "selectedEntityColors": { "United States": "#4c7f9c" } } |
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2020-10-28 06:10:31 | 2024-04-08 12:13:54 | 2023-04-13 07:37:29 | 2020-10-28 06:15:38 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Time spent doing sports | Average minutes per day spent on sports and physical exercise by individuals aged 15 and over. Includes time spent walking and hiking. | Time spent doing sports (Line chart) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 8, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "disabled", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 4621, "slug": "time-spent-sports-usa", "title": "Time spent doing sports", "subtitle": "Average minutes per day spent on sports and physical exercise by individuals aged 15 and over. Includes time spent walking and hiking.", "originUrl": "ourworldindata.org/obesity", "dimensions": [ { "display": { "unit": "minutes", "shortUnit": "mins", "includeInTable": true }, "property": "y", "variableId": 145197 } ], "sourceDesc": "American Time Use Survey", "variantName": "Line chart", "selectedEntityNames": [ "United States" ] } |
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2020-10-28 06:05:34 | 2024-04-08 12:13:54 | 2023-09-05 10:28:59 | 2020-10-28 06:10:19 | Fiona Spooner 54 | Esteban Ortiz-Ospina 7 | 1 | Time spent doing sports | Average minutes per day spent on sports and physical exercise by individuals aged 15 and over. Includes time spent walking and hiking. | Time spent doing sports (Slope chart) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": 2010, "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": false, "invertColorScheme": false, "version": 17, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "SlopeChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 4620, "slug": "time-spent-sports", "title": "Time spent doing sports", "subtitle": "Average minutes per day spent on sports and physical exercise by individuals aged 15 and over. Includes time spent walking and hiking.", "originUrl": "https://ourworldindata.org/time-use", "dimensions": [ { "display": { "unit": "minutes", "shortUnit": "mins", "includeInTable": true }, "property": "y", "variableId": 145197 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "Eurostat & American Time Use Survey", "variantName": "Slope chart", "selectedEntityNames": [ "United Kingdom", "United States", "Turkey", "Germany", "Belgium", "Finland", "Norway", "Spain", "Estonia", "France", "Italy", "Poland" ] } |
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2020-09-23 15:33:47 | 2024-04-22 13:40:58 | 2024-04-22 13:40:58 | 2020-11-09 08:05:23 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Annual working hours per worker | Before 1950, the data comes only from full-time production workers (non-agricultural activities). Starting in 1950, estimates cover total hours worked in the economy as measured primarily from National Accounts data. | We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the same underlying source. Due to differences in measurement, comparability between countries is limited. | Annual working hours per worker () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 95, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": 1870, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 4540, "note": "We plot the data from Huberman & Minns (2007) and extend coverage using an updated vintage of PWT, which uses the same underlying source. Due to differences in measurement, comparability between countries is limited.", "slug": "annual-working-hours-per-worker", "title": "Annual working hours per worker", "subtitle": "Before 1950, the data comes only from full-time production workers (non-agricultural activities). Starting in 1950, estimates cover total hours worked in the economy as measured primarily from National Accounts data.", "originUrl": "https://ourworldindata.org/working-hours", "dimensions": [ { "display": { "unit": "", "shortUnit": "h", "includeInTable": true, "numDecimalPlaces": 0 }, "property": "y", "variableId": 143617 } ], "sourceDesc": "Huberman & Minns (2007) and PWT 9.1 (2019)", "internalNotes": "OWID stitch-up of Huberman & Minns 2007 and PWT 9.1", "relatedQuestions": [ { "url": "https://ourworldindata.org/working-more-than-ever", "text": "Are we working more than ever?" } ], "selectedEntityNames": [ "United Kingdom", "Germany", "United States", "France", "Sweden", "Australia", "Belgium" ] } |
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2020-01-31 15:28:47 | 2024-07-17 09:54:29 | 2024-07-17 09:54:29 | 2020-01-31 15:29:22 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Marriages per 1,000 people, 1990 vs. 2010 | Estimates correspond to the closest year with available estimates. Bubble sizes are proportional to the population in 2010. | Marriages per 1,000 people, 1990 vs. 2010 () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": 2010, "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 17, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": 2010, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3957, "slug": "marriage-rate-1990-vs-2010", "title": "Marriages per 1,000 people, 1990 vs. 2010", "subtitle": "Estimates correspond to the closest year with available estimates. Bubble sizes are proportional to the population in 2010.", "originUrl": "https://ourworldindata.org/marriages-and-divorces", "dimensions": [ { "display": { "name": "Marriage rate in 2010", "tolerance": 5, "includeInTable": true }, "property": "y", "variableId": 109922 }, { "display": { "name": "Marriage rate", "tolerance": 5, "includeInTable": true }, "property": "x", "targetYear": 1990, "variableId": 109922 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "comparisonLines": [ {} ], "timelineMaxTime": 2010, "timelineMinTime": 2010, "excludedEntities": [ 199 ] } |
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2020-01-24 19:51:52 | 2024-06-18 14:03:28 | 2024-06-18 14:03:28 | 2020-01-24 19:52:54 | Pablo Arriagada 62 | Esteban Ortiz-Ospina 7 | 1 | Share of people saying they do not want homosexual neighbors | Share of survey respondents stating that they [do not want](#dod:ivs-neighbors) homosexual neighbors. | Share of people saying they do not want homosexual neighbors () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 6, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3946, "slug": "share-of-people-saying-they-do-not-want-homosexual-neighbors", "title": "Share of people saying they do not want homosexual neighbors", "subtitle": "Share of survey respondents stating that they [do not want](#dod:ivs-neighbors) homosexual neighbors.", "originUrl": "ourworldindata.org/human-rights", "dimensions": [ { "property": "y", "variableId": 935602 } ], "selectedEntityNames": [ "Brazil", "Chile", "China", "Ghana", "Morocco", "Netherlands", "Russia", "South Africa", "Sweden", "United States" ] } |
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2020-01-24 19:44:22 | 2024-06-24 16:35:43 | 2024-06-24 16:35:43 | 2020-01-24 19:47:56 | Bastian Herre 51 | Esteban Ortiz-Ospina 7 | 1 | Share of people who think homosexuality is never justified | Share of survey respondents stating that homosexuality [can never be justified](#dod:ivs-justifiable). | Share of people who think homosexuality is never justified () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 10, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3945, "slug": "share-of-people-who-think-homosexuality-is-never-justified", "title": "Share of people who think homosexuality is never justified", "subtitle": "Share of survey respondents stating that homosexuality [can never be justified](#dod:ivs-justifiable).", "originUrl": "ourworldindata.org/human-rights", "dimensions": [ { "property": "y", "variableId": 821123 } ], "selectedEntityNames": [ "Pakistan", "Russia", "United States", "Australia", "China", "South Africa", "Brazil", "Chile", "Spain", "Sweden" ] } |
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3944 | divorces-per-1000-people | LineChart | { "id": 3944, "map": { "colorScale": { "baseColorScheme": "YlOrBr", "binningStrategy": "manual", "customNumericValues": [ 1, 2, 3, 4, 5, 6 ] }, "columnSlug": "110125", "timeTolerance": 10 }, "slug": "divorces-per-1000-people", "title": "Divorces per 1,000 people", "yAxis": { "max": 0, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": 1960, "version": 15, "hasMapTab": true, "originUrl": "ourworldindata.org/marriages-and-divorces", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true }, "property": "y", "variableId": 110125 } ], "sourceDesc": "OWID based on UN, OECD, Eurostat and other sources", "isPublished": true, "selectedEntityNames": [ "United Kingdom", "United States", "Singapore", "Norway", "Peru", "Chile", "Mexico", "Turkey", "South Korea", "Ireland" ], "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2020-01-23 15:19:53 | 2024-04-08 12:13:54 | 2024-01-08 11:16:03 | 2020-01-24 14:15:04 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Divorces per 1,000 people | Divorces per 1,000 people () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 15, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": 1960, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3944, "slug": "divorces-per-1000-people", "title": "Divorces per 1,000 people", "originUrl": "ourworldindata.org/marriages-and-divorces", "dimensions": [ { "display": { "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true }, "property": "y", "variableId": 110125 } ], "sourceDesc": "OWID based on UN, OECD, Eurostat and other sources", "selectedEntityNames": [ "United Kingdom", "United States", "Singapore", "Norway", "Peru", "Chile", "Mexico", "Turkey", "South Korea", "Ireland" ] } |
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3940 | same-sex-marriage-country-count | LineChart | { "id": 3940, "map": { "time": "latest", "colorScale": { "binningStrategy": "equalInterval" } }, "slug": "same-sex-marriage-country-count", "title": "Number of countries where same-sex marriage is legal", "yAxis": { "max": 30, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 31, "subtitle": "", "originUrl": "https://ourworldindata.org/marriages-and-divorces", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "property": "y", "variableId": 935570 } ], "entityType": "region", "hideLegend": true, "isPublished": true, "variantName": "Pew Research Center", "addCountryMode": "change-country", "entityTypePlural": "regions", "hideRelativeToggle": false, "selectedEntityNames": [ "World" ], "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2020-01-17 22:48:52 | 2024-06-17 15:49:29 | 2024-06-17 15:49:29 | 2020-01-22 14:53:27 | Pablo Arriagada 62 | Esteban Ortiz-Ospina 7 | 1 | Number of countries where same-sex marriage is legal | Number of countries where same-sex marriage is legal (Pew Research Center) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": true, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 31, "logo": "owid", "entityType": "region", "facettingLabelByYVariables": "metric", "addCountryMode": "change-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "regions", "missingDataStrategy": "auto", "id": 3940, "slug": "same-sex-marriage-country-count", "title": "Number of countries where same-sex marriage is legal", "subtitle": "", "originUrl": "https://ourworldindata.org/marriages-and-divorces", "dimensions": [ { "property": "y", "variableId": 935570 } ], "variantName": "Pew Research Center", "hideRelativeToggle": false, "selectedEntityNames": [ "World" ] } |
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3938 | share-of-women-married-or-in-a-union | LineChart | { "id": 3938, "map": { "time": "latest", "colorScale": { "binningStrategy": "equalInterval" } }, "slug": "share-of-women-married-or-in-a-union", "title": "Share of women married or in a union", "yAxis": { "min": 30 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": 1970, "version": 15, "subtitle": "Percentage of women 15 to 49 years old, who are married or living in a cohabiting union. Figures are estimated until 2010 and projected for 2020.", "originUrl": "ourworldindata.org/marriages-and-divorces", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "color": "#3360a9", "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true }, "property": "y", "variableId": 109959 } ], "entityType": "region", "isPublished": true, "timelineMaxTime": 2020, "selectedEntityNames": [ "Northern Europe", "Eastern Asia", "World", "South America", "Northern America", "Western Africa", "Eastern Africa", "Western Europe" ], "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2020-01-16 21:06:31 | 2024-04-08 12:13:54 | 2024-01-08 11:17:41 | 2020-01-17 10:25:06 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Share of women married or in a union | Percentage of women 15 to 49 years old, who are married or living in a cohabiting union. Figures are estimated until 2010 and projected for 2020. | Share of women married or in a union () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 15, "logo": "owid", "entityType": "region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": 1970, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3938, "slug": "share-of-women-married-or-in-a-union", "title": "Share of women married or in a union", "subtitle": "Percentage of women 15 to 49 years old, who are married or living in a cohabiting union. Figures are estimated until 2010 and projected for 2020.", "originUrl": "ourworldindata.org/marriages-and-divorces", "dimensions": [ { "display": { "color": "#3360a9", "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true }, "property": "y", "variableId": 109959 } ], "timelineMaxTime": 2020, "selectedEntityNames": [ "Northern Europe", "Eastern Asia", "World", "South America", "Northern America", "Western Africa", "Eastern Africa", "Western Europe" ] } |
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3937 | age-at-marriage-women | LineChart | { "id": 3937, "map": { "colorScale": { "baseColorScheme": "PuBu", "binningStrategy": "equalInterval", "customNumericValues": [ 7, 14, 21, 28, 35 ], "customNumericMinValue": 10 }, "columnSlug": "109957", "timeTolerance": 6 }, "note": "For OECD countries figures correspond to mean age at first marriage. For other countries, figures correspond to singulate mean age at marriage, which is an indirect estimate of mean age at first marriage.", "slug": "age-at-marriage-women", "title": "Average age of women at marriage", "yAxis": { "min": 14 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": 1986, "version": 20, "hasMapTab": true, "originUrl": "ourworldindata.org/marriages-and-divorces", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "unit": "years", "shortUnit": "years", "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true }, "property": "y", "variableId": 109957 } ], "isPublished": true, "timelineMinTime": 1970, "selectedEntityNames": [ "United Kingdom", "United States", "Norway", "Sweden", "Portugal", "Saudi Arabia", "Turkey", "Zimbabwe", "Bangladesh", "Niger", "Iran" ], "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2020-01-15 17:49:55 | 2024-04-08 12:13:54 | 2024-02-28 15:59:09 | 2020-01-15 19:49:14 | Fiona Spooner 54 | Esteban Ortiz-Ospina 7 | 1 | Average age of women at marriage | For OECD countries figures correspond to mean age at first marriage. For other countries, figures correspond to singulate mean age at marriage, which is an indirect estimate of mean age at first marriage. | Average age of women at marriage () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 20, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": 1986, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3937, "note": "For OECD countries figures correspond to mean age at first marriage. For other countries, figures correspond to singulate mean age at marriage, which is an indirect estimate of mean age at first marriage.", "slug": "age-at-marriage-women", "title": "Average age of women at marriage", "originUrl": "ourworldindata.org/marriages-and-divorces", "dimensions": [ { "display": { "unit": "years", "shortUnit": "years", "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true }, "property": "y", "variableId": 109957 } ], "timelineMinTime": 1970, "selectedEntityNames": [ "United Kingdom", "United States", "Norway", "Sweden", "Portugal", "Saudi Arabia", "Turkey", "Zimbabwe", "Bangladesh", "Niger", "Iran" ] } |
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2020-01-13 21:40:31 | 2024-04-08 12:13:54 | 2024-01-08 11:16:09 | 2020-01-14 15:29:55 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Average age at marriage, women | Mean age at first marriage estimated indirectly from the proportions of single women by age. This variable is often known as "singulate mean age at marriage". | Average age at marriage, women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 15, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3933, "slug": "singulate-mean-age-marriage-women", "title": "Average age at marriage, women", "subtitle": "Mean age at first marriage estimated indirectly from the proportions of single women by age. This variable is often known as \"singulate mean age at marriage\".", "originUrl": "ourworldindata.org/fertility-rate", "dimensions": [ { "display": { "includeInTable": true, "numDecimalPlaces": 1 }, "property": "y", "variableId": 109950 } ], "selectedEntityNames": [ "Zimbabwe", "Turkey", "Switzerland", "Sweden", "Slovenia", "Saudi Arabia", "Portugal", "Pakistan", "Norway", "Bangladesh", "Niger" ] } |
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3928 | share-of-births-outside-marriage | LineChart | { "id": 3928, "map": { "colorScale": { "baseColorScheme": "YlGnBu", "binningStrategy": "manual", "customNumericValues": [ 10, 20, 30, 40, 50, 60 ] }, "columnSlug": "109923", "timeTolerance": 3 }, "slug": "share-of-births-outside-marriage", "title": "Share of children who were born outside of marriage", "yAxis": { "max": 0, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 10, "subtitle": "Share of all children born to mothers who were not married at the time of birth.", "hasMapTab": true, "originUrl": "ourworldindata.org/marriages-and-divorces", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Share of births outside marriage", "unit": "%", "shortUnit": "%", "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true, "numDecimalPlaces": 1 }, "property": "y", "variableId": 109923 } ], "isPublished": true, "selectedEntityNames": [ "Australia", "Canada", "Costa Rica", "Denmark", "Germany", "Italy", "Netherlands", "Slovakia", "Chile", "France", "Greece", "Japan", "Mexico" ], "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2020-01-09 20:05:07 | 2024-04-08 12:13:54 | 2024-01-08 11:16:27 | 2020-01-09 20:05:07 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Share of children who were born outside of marriage | Share of all children born to mothers who were not married at the time of birth. | Share of children who were born outside of marriage () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 10, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3928, "slug": "share-of-births-outside-marriage", "title": "Share of children who were born outside of marriage", "subtitle": "Share of all children born to mothers who were not married at the time of birth.", "originUrl": "ourworldindata.org/marriages-and-divorces", "dimensions": [ { "display": { "name": "Share of births outside marriage", "unit": "%", "shortUnit": "%", "tableDisplay": { "hideAbsoluteChange": false, "hideRelativeChange": false }, "includeInTable": true, "numDecimalPlaces": 1 }, "property": "y", "variableId": 109923 } ], "selectedEntityNames": [ "Australia", "Canada", "Costa Rica", "Denmark", "Germany", "Italy", "Netherlands", "Slovakia", "Chile", "France", "Greece", "Japan", "Mexico" ] } |
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3796 | one-person-households-vs-gdp-per-capita | ScatterPlot | { "id": 3796, "map": { "colorScale": { "binningStrategy": "equalInterval" } }, "slug": "one-person-households-vs-gdp-per-capita", "type": "ScatterPlot", "title": "Share of one-person households vs. GDP per capita", "xAxis": { "scaleType": "log", "canChangeScaleType": true }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 27, "subtitle": "GDP per capita is adjusted to account for inflation and differences in prices between countries. Colors represent world regions. Bubble sizes are proportional to the population of the country.", "originUrl": "ourworldindata.org/social-connections-and-loneliness", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 109746 }, { "display": { "tolerance": 5 }, "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "hideRelativeToggle": false } |
2019-11-18 20:33:49 | 2024-07-17 09:54:27 | 2024-07-17 09:54:27 | 2019-11-19 13:42:04 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Share of one-person households vs. GDP per capita | GDP per capita is adjusted to account for inflation and differences in prices between countries. Colors represent world regions. Bubble sizes are proportional to the population of the country. | Share of one-person households vs. GDP per capita () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 27, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3796, "slug": "one-person-households-vs-gdp-per-capita", "title": "Share of one-person households vs. GDP per capita", "subtitle": "GDP per capita is adjusted to account for inflation and differences in prices between countries. Colors represent world regions. Bubble sizes are proportional to the population of the country.", "originUrl": "ourworldindata.org/social-connections-and-loneliness", "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 109746 }, { "display": { "tolerance": 5 }, "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "hideRelativeToggle": false } |
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2019-11-15 23:37:30 | 2024-04-08 12:13:54 | 2024-01-05 12:45:49 | 2019-11-19 11:36:41 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Percentage of adults living alone | Data for the US corresponds to population ages 18 and older. Data for Canada corresponds to ages 15 and older. | Percentage of adults living alone () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 6, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3781, "slug": "adults-living-alone", "title": "Percentage of adults living alone", "subtitle": "Data for the US corresponds to population ages 18 and older. Data for Canada corresponds to ages 15 and older.", "originUrl": "ourworldindata.org/social-connections-and-loneliness", "dimensions": [ { "property": "y", "variableId": 109747 } ], "selectedEntityNames": [ "Canada", "United States" ] } |
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2019-11-15 23:02:58 | 2024-04-08 12:13:54 | 2024-03-07 15:17:14 | 2019-11-19 13:38:24 | Fiona Spooner 54 | Esteban Ortiz-Ospina 7 | 1 | Percentage of one-person households | Number of one-person households as a share of the total number of households. Estimates combine multiple sources, including cross-country surveys and census data. | Percentage of one-person households () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 26, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3779, "slug": "one-person-households", "title": "Percentage of one-person households", "subtitle": "Number of one-person households as a share of the total number of households. Estimates combine multiple sources, including cross-country surveys and census data.", "originUrl": "ourworldindata.org/social-connections-and-loneliness", "dimensions": [ { "display": { "unit": "%", "includeInTable": true }, "property": "y", "variableId": 109746 } ], "sourceDesc": "OWID based on UN and other sources", "selectedEntityNames": [ "Colombia", "France", "Angola", "Germany", "Netherlands", "United States", "Mexico", "Myanmar", "Nepal", "Portugal", "Bolivia", "Ecuador", "Bulgaria", "Poland", "New Zealand", "Japan", "Pakistan" ] } |
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2019-11-13 18:06:26 | 2024-04-08 12:13:54 | 2019-11-19 16:53:28 | 2019-11-13 18:06:26 | Esteban Ortiz-Ospina 7 | Esteban Ortiz-Ospina 7 | 1 | People who report having friends or relatives they can count on | Percentage of people who report that they have friends or relatives whom they can count on in times of trouble. Data corresponds to 2014-16 average or latest available period. | People who report having friends or relatives they can count on () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 6, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "DiscreteBar", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3768, "slug": "people-who-report-having-friends-or-relatives-they-can-count-on", "title": "People who report having friends or relatives they can count on", "subtitle": "Percentage of people who report that they have friends or relatives whom they can count on in times of trouble. Data corresponds to 2014-16 average or latest available period.", "originUrl": "ourworldindata.org/social-connections-and-loneliness", "dimensions": [ { "display": { "name": "People who report having friends or relatives they can count on", "unit": "%", "shortUnit": "%", "numDecimalPlaces": 1 }, "property": "y", "variableId": 105811 } ], "sourceDesc": "OECD (2017) \"How's Life? Measuring Well-being\"", "hideRelativeToggle": true, "selectedEntityNames": [ "Australia", "Colombia", "Greece", "Iceland", "Mexico", "Norway", "United States", "Portugal", "Finland", "Denmark", "Brazil", "Turkey" ] } |
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2019-05-24 20:45:00 | 2024-04-08 12:13:54 | 2024-01-04 10:50:51 | 2019-09-06 18:57:42 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Revenue from corporate income taxes as a share of GDP | Corporate income taxes include natural resources taxes. | Revenue from corporate income taxes as a share of GDP () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 14, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3456, "slug": "revenue-from-corporate-income-taxes-gdp", "title": "Revenue from corporate income taxes as a share of GDP", "subtitle": "Corporate income taxes include natural resources taxes.", "originUrl": "ourworldindata.org/taxation", "dimensions": [ { "display": { "unit": "% of GDP", "includeInTable": true }, "property": "y", "variableId": 104418 } ], "sourceDesc": "International Centre for Tax and Development / UNU-WIDER", "selectedEntityNames": [ "Peru", "South Africa", "South Korea", "United States", "United Kingdom", "Norway" ] } |
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2019-04-30 16:37:07 | 2024-04-26 17:21:55 | 2024-04-26 17:21:55 | 2019-04-30 16:37:07 | Lucas Rodés-Guirao 52 | Esteban Ortiz-Ospina 7 | 1 | Liberal democracy index | Based on the expert estimates and index by [V-Dem](#dod:v-dem). It combines information on voting rights, the freedom and fairness of elections, freedoms of association and expression, civil liberties, and executive constraints. It ranges from 0 to 1 (most democratic). | Liberal democracy index (V-Dem) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 37, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "hide", "id": 3376, "slug": "liberal-democracy-index", "title": "Liberal democracy index", "subtitle": "Based on the expert estimates and index by [V-Dem](#dod:v-dem). It combines information on voting rights, the freedom and fairness of elections, freedoms of association and expression, civil liberties, and executive constraints. It ranges from 0 to 1 (most democratic).", "originUrl": "https://ourworldindata.org/democracy", "dimensions": [ { "display": { "name": "Liberal democracy", "color": "#3c4e66", "includeInTable": true }, "property": "y", "variableId": 900049 } ], "variantName": "V-Dem", "relatedQuestions": [ { "url": "https://ourworldindata.org/explorers/democracy", "text": "How do different approaches score democracy across the world?" } ], "selectedEntityNames": [ "World", "Argentina", "Australia", "Botswana", "China" ] } |
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2019-04-25 21:04:55 | 2024-04-29 14:02:12 | 2024-04-29 14:02:12 | 2019-04-25 21:05:00 | Bastian Herre 51 | Esteban Ortiz-Ospina 7 | 1 | Voter turnout of registered voters | Percentage of all registered voters who cast a vote in the national election, according to official results. | Voter turnout of registered voters () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "entity", "isPublished": true, "invertColorScheme": false, "version": 19, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3370, "slug": "voter-turnout-of-registered-voters", "title": "Voter turnout of registered voters", "subtitle": "Percentage of all registered voters who cast a vote in the national election, according to official results.", "originUrl": "ourworldindata.org/democracy", "dimensions": [ { "display": { "name": "", "unit": "%", "shortUnit": "%", "includeInTable": true }, "property": "y", "variableId": 900019 } ], "selectedEntityNames": [ "United Kingdom" ] } |
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2019-04-25 20:36:04 | 2024-07-17 09:53:59 | 2024-07-17 09:53:59 | 2019-04-25 20:38:55 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Tax revenues vs. electoral democracy index | Taxes include direct and indirect taxes as well as social contributions. Electoral democracy based on the expert estimates and index by [V-Dem](#dod:v-dem), ranging from 0 to 1 (most democratic). | Tax revenues vs. electoral democracy index () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 45, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3369, "slug": "tax-revenues-vs-electoral-democracy-index", "title": "Tax revenues vs. electoral democracy index", "subtitle": "Taxes include direct and indirect taxes as well as social contributions. Electoral democracy based on the expert estimates and index by [V-Dem](#dod:v-dem), ranging from 0 to 1 (most democratic).", "originUrl": "https://ourworldindata.org/democracy", "dimensions": [ { "display": { "name": "Electoral democracy index", "tolerance": 5 }, "property": "y", "variableId": 900047 }, { "display": { "name": "Tax revenues (% of GDP)", "unit": "%" }, "property": "x", "variableId": 816284 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "excludedEntities": [], "relatedQuestions": [ { "url": "https://ourworldindata.org/explorers/democracy", "text": "How do different approaches score democracy across the world?" } ], "hideRelativeToggle": false } |
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2019-04-25 20:31:59 | 2024-07-17 09:53:57 | 2024-07-17 09:53:57 | 2019-04-25 20:33:42 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Government effectiveness vs. liberal democracy | The government effectiveness index captures perceptions of the quality of public services, the civil service, and policy formulation and implementation (positive values mean higher effectiveness). Liberal democracy based on the expert estimates and index by [V-Dem](#dod:v-dem), ranging from 0 to 1 (most democratic). | Government effectiveness vs. liberal democracy () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 36, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3368, "slug": "govt-effectiveness-vs-liberal-democracy", "title": "Government effectiveness vs. liberal democracy", "subtitle": "The government effectiveness index captures perceptions of the quality of public services, the civil service, and policy formulation and implementation (positive values mean higher effectiveness). Liberal democracy based on the expert estimates and index by [V-Dem](#dod:v-dem), ranging from 0 to 1 (most democratic).", "originUrl": "https://ourworldindata.org/democracy-health", "dimensions": [ { "display": { "name": "Liberal democracy" }, "property": "y", "variableId": 900049 }, { "display": { "name": "Government effectiveness" }, "property": "x", "variableId": 900022 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "excludedEntities": [ 225 ], "relatedQuestions": [ { "url": "https://ourworldindata.org/explorers/democracy", "text": "How do different approaches score democracy across the world?" } ], "hideRelativeToggle": false } |
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2019-01-08 20:43:00 | 2024-04-08 12:13:54 | 2023-03-29 09:24:41 | 2019-01-08 20:43:20 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Female labor force participation rate (15-64) | Proportion of the female population ages 15-64 that is economically active. | Female labor force participation rate (15-64) () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 6, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3259, "slug": "oecd-female-labour-force-participation-rate-15-64", "title": "Female labor force participation rate (15-64)", "subtitle": "Proportion of the female population ages 15-64 that is economically active.", "originUrl": "ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "shortUnit": "%", "includeInTable": true }, "property": "y", "variableId": 90004 } ], "sourceDesc": "OECD", "selectedEntityNames": [ "Germany", "France", "Canada", "United States", "United Kingdom", "Spain" ] } |
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2018-10-12 21:07:48 | 2024-05-31 07:04:06 | 2024-05-31 07:04:06 | 2018-10-12 21:07:48 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Share of service in total exports | Services refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. The share of services in total exports comes from comparing trade in goods and services at current US dollars. | Share of service in total exports () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "OwidCategoricalB", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 11, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "StackedArea", "hasMapTab": false, "stackMode": "relative", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3137, "slug": "share-of-service-in-total-exports", "title": "Share of service in total exports", "subtitle": "Services refer to economic output of intangible commodities that may be produced, transferred, and consumed at the same time. The share of services in total exports comes from comparing trade in goods and services at current US dollars.", "originUrl": "ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "name": "Goods" }, "property": "y", "variableId": 904880 }, { "display": { "name": "Services" }, "property": "y", "variableId": 904881 } ], "selectedEntityNames": [ "World" ], "selectedEntityColors": { "World": "#b077b1" } } |
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3136 | service-exports-and-imports-gdp | LineChart | { "id": 3136, "map": { "colorScale": { "baseColorScheme": "YlOrRd", "binningStrategy": "equalInterval" }, "columnSlug": "735002", "timeTolerance": 5 }, "slug": "service-exports-and-imports-gdp", "title": "Trade in services (exports plus imports) as share of GDP", "yAxis": { "max": 0, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 12, "subtitle": "Sum of service exports and imports divided by the value of GDP, all in current U.S. dollars.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "% of GDP" }, "property": "y", "variableId": 904846 } ], "isPublished": true, "selectedEntityNames": [ "Sub-Saharan Africa", "World", "Middle East and North Africa", "Sub-Saharan Africa (WB)", "North America (WB)", "East Asia and Pacific (WB)", "Middle East and North Africa (WB)", "Europe and Central Asia (WB)", "Latin America and Caribbean (WB)" ] } |
2018-10-12 20:51:11 | 2024-05-31 07:04:06 | 2024-05-31 07:04:06 | 2018-10-12 20:51:11 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Trade in services (exports plus imports) as share of GDP | Sum of service exports and imports divided by the value of GDP, all in current U.S. dollars. | Trade in services (exports plus imports) as share of GDP () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 12, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3136, "slug": "service-exports-and-imports-gdp", "title": "Trade in services (exports plus imports) as share of GDP", "subtitle": "Sum of service exports and imports divided by the value of GDP, all in current U.S. dollars.", "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "% of GDP" }, "property": "y", "variableId": 904846 } ], "selectedEntityNames": [ "Sub-Saharan Africa", "World", "Middle East and North Africa", "Sub-Saharan Africa (WB)", "North America (WB)", "East Asia and Pacific (WB)", "Middle East and North Africa (WB)", "Europe and Central Asia (WB)", "Latin America and Caribbean (WB)" ] } |
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3135 | imports-of-goods-and-services-constant-2010-us | LineChart | { "id": 3135, "map": { "colorScale": { "binningStrategy": "equalInterval" }, "columnSlug": "735564", "timeTolerance": 5 }, "slug": "imports-of-goods-and-services-constant-2010-us", "title": "Imports of goods and services", "yAxis": { "max": 0, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 13, "subtitle": "Imports of goods and services represent the value of all goods and other market services received from the rest of the world. Data are in constant U.S. dollars. This means values are corrected for inflation.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "constant 2010 US$" }, "property": "y", "variableId": 905419 } ], "isPublished": true, "selectedEntityNames": [ "United States", "United Kingdom", "India", "Germany", "South Korea", "Nigeria" ] } |
2018-10-12 17:40:34 | 2024-05-31 07:04:05 | 2024-05-31 07:04:05 | 2018-10-12 17:45:05 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Imports of goods and services | Imports of goods and services represent the value of all goods and other market services received from the rest of the world. Data are in constant U.S. dollars. This means values are corrected for inflation. | Imports of goods and services () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 13, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3135, "slug": "imports-of-goods-and-services-constant-2010-us", "title": "Imports of goods and services", "subtitle": "Imports of goods and services represent the value of all goods and other market services received from the rest of the world. Data are in constant U.S. dollars. This means values are corrected for inflation.", "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "constant 2010 US$" }, "property": "y", "variableId": 905419 } ], "selectedEntityNames": [ "United States", "United Kingdom", "India", "Germany", "South Korea", "Nigeria" ] } |
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3134 | exports-of-goods-and-services-constant-2010-us | LineChart | { "id": 3134, "map": { "colorScale": { "baseColorScheme": "YlGnBu", "binningStrategy": "manual", "customNumericValues": [ 5000000000, 10000000000, 50000000000, 100000000000, 500000000000, 1000000000000, 5000000000000 ] }, "columnSlug": "735541", "timeTolerance": 5 }, "tab": "map", "slug": "exports-of-goods-and-services-constant-2010-us", "title": "Value of exported of goods and services", "yAxis": { "max": 0, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 15, "subtitle": "Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. This is adjusted for inflation and shown in constant 2015 U.S. dollars.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "constant 2015 US$" }, "property": "y", "variableId": 905396 } ], "isPublished": true, "selectedEntityNames": [ "South Korea", "United States", "Germany", "France", "Nigeria", "United Kingdom", "Brazil", "Argentina" ] } |
2018-10-12 16:29:05 | 2024-05-31 07:04:05 | 2024-05-31 07:04:05 | 2018-10-12 16:29:05 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Value of exported of goods and services | Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. This is adjusted for inflation and shown in constant 2015 U.S. dollars. | Value of exported of goods and services () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 15, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 3134, "slug": "exports-of-goods-and-services-constant-2010-us", "title": "Value of exported of goods and services", "subtitle": "Exports of goods and services represent the value of all goods and other market services provided to the rest of the world. This is adjusted for inflation and shown in constant 2015 U.S. dollars.", "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "constant 2015 US$" }, "property": "y", "variableId": 905396 } ], "selectedEntityNames": [ "South Korea", "United States", "Germany", "France", "Nigeria", "United Kingdom", "Brazil", "Argentina" ] } |
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2948 | female-minus-male-life-expectancy-vs-non-communicable-disease-death-rates | ScatterPlot | { "id": 2948, "map": { "colorScale": { "binningStrategy": "equalInterval" } }, "slug": "female-minus-male-life-expectancy-vs-non-communicable-disease-death-rates", "type": "ScatterPlot", "title": "Sex gap in life expectancy vs. non-communicable disease death rate", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 33, "subtitle": "The vertical axis shows the difference between male and female period life expectancy at birth, measured in years. The horizontal axis shows the number of deaths from non-communicable diseases (cardiovascular disease, cancers, respiratory disease and diabetes), expressed as ratio per 100,000 people.", "originUrl": "ourworldindata.org/life-expectancy", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Female minus male life expectancy at birth", "unit": "years", "shortUnit": "years" }, "property": "y", "variableId": 814973 }, { "display": { "name": "Non-communicable disease death rate", "unit": "deaths per 100,000 people", "shortUnit": "", "numDecimalPlaces": 1 }, "property": "x", "variableId": 930377 }, { "display": { "name": "Population" }, "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "hideRelativeToggle": false } |
2018-08-06 14:18:18 | 2024-07-17 09:53:35 | 2024-07-17 09:53:35 | 2018-08-06 14:18:39 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Sex gap in life expectancy vs. non-communicable disease death rate | The vertical axis shows the difference between male and female period life expectancy at birth, measured in years. The horizontal axis shows the number of deaths from non-communicable diseases (cardiovascular disease, cancers, respiratory disease and diabetes), expressed as ratio per 100,000 people. | Sex gap in life expectancy vs. non-communicable disease death rate () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 33, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2948, "slug": "female-minus-male-life-expectancy-vs-non-communicable-disease-death-rates", "title": "Sex gap in life expectancy vs. non-communicable disease death rate", "subtitle": "The vertical axis shows the difference between male and female period life expectancy at birth, measured in years. The horizontal axis shows the number of deaths from non-communicable diseases (cardiovascular disease, cancers, respiratory disease and diabetes), expressed as ratio per 100,000 people.", "originUrl": "ourworldindata.org/life-expectancy", "dimensions": [ { "display": { "name": "Female minus male life expectancy at birth", "unit": "years", "shortUnit": "years" }, "property": "y", "variableId": 814973 }, { "display": { "name": "Non-communicable disease death rate", "unit": "deaths per 100,000 people", "shortUnit": "", "numDecimalPlaces": 1 }, "property": "x", "variableId": 930377 }, { "display": { "name": "Population" }, "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "hideRelativeToggle": false } |
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2947 | infectious-disease-death-rates | LineChart | { "id": 2947, "map": { "colorScale": { "baseColorScheme": "Reds", "binningStrategy": "manual", "customNumericColors": [ null, null, null ], "customNumericValues": [ 10, 20, 50, 100, 200, 500, 1000, 2000 ] }, "columnSlug": "57993" }, "tab": "map", "note": "To allow for comparisons between countries and over time, this metric is [age-standardized](#dod:age_standardized).", "slug": "infectious-disease-death-rates", "title": "Death rate from infectious diseases", "yAxis": { "max": 0, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 23, "subtitle": "Estimated annual number of deaths from HIV/AIDS, diarrhea, malaria, respiratory infections, and all other infectious diseases per 100,000 people.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/burden-of-disease", "dimensions": [ { "property": "y", "variableId": 932115 } ], "isPublished": true, "variantName": "IHME, age-standardized", "internalNotes": "This variable no longer exists in the GBD but has been split into: \n\n* HIV/AIDS and STIs\n* Respiratory infections and tuberculosis\n* Enteric infections\n* Neglected tropical diseases and malaria\n* Other infectious diseases\n\nFor this variable we have summed up the above variables.", "selectedEntityNames": [ "World" ], "hideAnnotationFieldsInTitle": { "time": true } } |
2018-08-03 19:23:31 | 2024-06-14 07:51:34 | 2024-06-14 07:51:34 | 2018-08-03 19:23:31 | Fiona Spooner 54 | Esteban Ortiz-Ospina 7 | 1 | Death rate from infectious diseases | Estimated annual number of deaths from HIV/AIDS, diarrhea, malaria, respiratory infections, and all other infectious diseases per 100,000 people. | To allow for comparisons between countries and over time, this metric is [age-standardized](#dod:age_standardized). | Death rate from infectious diseases (IHME, age-standardized) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 23, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2947, "note": "To allow for comparisons between countries and over time, this metric is [age-standardized](#dod:age_standardized).", "slug": "infectious-disease-death-rates", "title": "Death rate from infectious diseases", "subtitle": "Estimated annual number of deaths from HIV/AIDS, diarrhea, malaria, respiratory infections, and all other infectious diseases per 100,000 people.", "originUrl": "https://ourworldindata.org/burden-of-disease", "dimensions": [ { "property": "y", "variableId": 932115 } ], "variantName": "IHME, age-standardized", "internalNotes": "This variable no longer exists in the GBD but has been split into: \n\n* HIV/AIDS and STIs\n* Respiratory infections and tuberculosis\n* Enteric infections\n* Neglected tropical diseases and malaria\n* Other infectious diseases\n\nFor this variable we have summed up the above variables.", "selectedEntityNames": [ "World" ] } |
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2018-08-03 16:15:05 | 2024-07-17 09:53:34 | 2024-07-17 09:53:34 | 2018-08-03 16:15:05 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Expected chances of death from non-communicable diseases, by gender | The estimated share of 30-year-olds who would die before their 70th birthday from common non-communicable diseases: any of [cardiovascular disease](#dod:cvd), [cancer](#dod:cancer), [diabetes](#dod:diabetes), or [chronic respiratory disease](#dod:chronic_respiratory_disease). | Estimates assume that current mortality rates continue and they would not have already died from any other cause of death (e.g., injuries or [HIV/AIDS](#dod:hiv_aids).) | Expected chances of death from non-communicable diseases, by gender () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 30, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2946, "note": "Estimates assume that current mortality rates continue and they would not have already died from any other cause of death (e.g., injuries or [HIV/AIDS](#dod:hiv_aids).)", "slug": "mortality-from-ncds-gender", "title": "Expected chances of death from non-communicable diseases, by gender", "subtitle": "The estimated share of 30-year-olds who would die before their 70th birthday from common non-communicable diseases: any of [cardiovascular disease](#dod:cvd), [cancer](#dod:cancer), [diabetes](#dod:diabetes), or [chronic respiratory disease](#dod:chronic_respiratory_disease).", "originUrl": "https://ourworldindata.org/why-do-women-live-longer-than-men", "dimensions": [ { "display": { "name": "Men", "unit": "%", "shortUnit": "%", "includeInTable": true }, "property": "y", "variableId": 829907 }, { "display": { "name": "Women", "unit": "%", "includeInTable": true }, "property": "x", "variableId": 829906 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2018-07-31 15:58:42 | 2024-07-12 03:27:00 | 2024-07-12 03:27:00 | 2018-07-31 16:04:41 | ETL 74 | Esteban Ortiz-Ospina 7 | 1 | Children under age 5, by world region | Historic estimates with future projections based on the [UN medium scenario](#dod:un-projection-scenarios). | Children under age 5, by world region (with UN projections) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "continents", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 26, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "disabled", "compareEndPointsOnly": false, "type": "StackedArea", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2940, "slug": "projected-population-under-age-5", "title": "Children under age 5, by world region", "subtitle": "Historic estimates with future projections based on the [UN medium scenario](#dod:un-projection-scenarios).", "originUrl": "https://ourworldindata.org/population-growth", "dimensions": [ { "display": { "unit": "", "shortUnit": "", "conversionFactor": 1, "numDecimalPlaces": 0 }, "property": "y", "variableId": 951033 } ], "variantName": "with UN projections", "hideRelativeToggle": false, "selectedEntityNames": [ "Asia (UN)", "Europe (UN)", "Africa (UN)", "Oceania (UN)", "Latin America and the Caribbean (UN)", "Northern America (UN)" ], "selectedEntityColors": { "Asia (UN)": "#00847e", "Africa (UN)": "#a2559c", "Europe (UN)": "#4c6a9c", "Oceania (UN)": "#9a5129", "Northern America (UN)": "#e56e5a", "Latin America and the Caribbean (UN)": "#883039" } } |
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2018-07-27 02:10:51 | 2024-04-08 12:13:54 | 2023-12-28 13:07:48 | 2018-07-27 02:13:28 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Tax revenue as share of GDP | The level of total tax revenues as a percentage of GDP. Total tax include sub-national revenues, and compulsory social security contributions paid to the general government. | Tax revenue as share of GDP () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 12, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2918, "slug": "tax-revenue-share-gdp-oecd-grsd", "title": "Tax revenue as share of GDP", "subtitle": "The level of total tax revenues as a percentage of GDP. Total tax include sub-national revenues, and compulsory social security contributions paid to the general government.", "originUrl": "ourworldindata.org/taxation", "dimensions": [ { "display": { "name": "Total tax - OECD", "unit": "% of GDP", "includeInTable": true }, "property": "y", "variableId": 97643 } ], "selectedEntityNames": [ "Cameroon", "Bolivia", "Colombia", "Brazil", "Argentina", "Democratic Republic of Congo", "United States", "Indonesia" ] } |
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2901 | share-of-students-achieving-minimum-vs-advanced-learning-outcomes | ScatterPlot | { "id": 2901, "map": { "colorScale": { "binningStrategy": "equalInterval" } }, "slug": "share-of-students-achieving-minimum-vs-advanced-learning-outcomes", "type": "ScatterPlot", "title": "Learning outcomes, minimum vs. advanced achievement", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 17, "subtitle": "Proportion of students achieving advanced and minimum proficiency benchmarks. Achievement outcomes come from standardized, psychometrically-robust international and regional tests. In order to maximize coverage by country, tests have been harmonized and pooled across subjects (math, reading, science) and levels (primary and secondary education). See source for details on proficiency benchmarks.", "originUrl": "https://ourworldindata.org/global-education", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Share of students achieving the minimum threshold", "tolerance": 5, "includeInTable": true }, "property": "y", "variableId": 97676 }, { "display": { "name": "Share of students achieving the advanced threshold", "tolerance": 5, "includeInTable": true }, "property": "x", "variableId": 97678 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "hideRelativeToggle": false } |
2018-07-20 16:35:20 | 2024-07-17 09:53:32 | 2024-07-17 09:53:32 | 2018-07-20 16:35:20 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Learning outcomes, minimum vs. advanced achievement | Proportion of students achieving advanced and minimum proficiency benchmarks. Achievement outcomes come from standardized, psychometrically-robust international and regional tests. In order to maximize coverage by country, tests have been harmonized and pooled across subjects (math, reading, science) and levels (primary and secondary education). See source for details on proficiency benchmarks. | Learning outcomes, minimum vs. advanced achievement () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 17, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2901, "slug": "share-of-students-achieving-minimum-vs-advanced-learning-outcomes", "title": "Learning outcomes, minimum vs. advanced achievement", "subtitle": "Proportion of students achieving advanced and minimum proficiency benchmarks. Achievement outcomes come from standardized, psychometrically-robust international and regional tests. In order to maximize coverage by country, tests have been harmonized and pooled across subjects (math, reading, science) and levels (primary and secondary education). See source for details on proficiency benchmarks.", "originUrl": "https://ourworldindata.org/global-education", "dimensions": [ { "display": { "name": "Share of students achieving the minimum threshold", "tolerance": 5, "includeInTable": true }, "property": "y", "variableId": 97676 }, { "display": { "name": "Share of students achieving the advanced threshold", "tolerance": 5, "includeInTable": true }, "property": "x", "variableId": 97678 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "hideRelativeToggle": false } |
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2018-07-19 20:42:40 | 2024-07-17 09:53:30 | 2024-07-17 09:53:30 | 2018-07-19 20:42:40 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Average learning outcomes vs. GDP per capita | Average learning outcomes correspond to [harmonized](#dod:harmonized-scores) scores across standardized, psychometrically-robust international and regional student achievement tests. | GDP per capita data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. | Average learning outcomes vs. GDP per capita () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 47, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": true, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": 2020, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2891, "note": "GDP per capita data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "slug": "learning-outcomes-vs-gdp-per-capita", "title": "Average learning outcomes vs. GDP per capita", "subtitle": "Average learning outcomes correspond to [harmonized](#dod:harmonized-scores) scores across standardized, psychometrically-robust international and regional student achievement tests.", "originUrl": "https://ourworldindata.org/global-education", "dimensions": [ { "display": { "name": "Average learning outcomes", "includeInTable": true }, "property": "y", "variableId": 804826 }, { "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 42619 } ], "sourceDesc": "World Bank (2023)", "hideRelativeToggle": false } |
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2018-07-06 23:14:34 | 2024-07-17 09:53:28 | 2024-07-17 09:53:28 | 2018-07-06 23:14:34 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Annual average growth of trade vs. GDP per capita | Trade is expressed in exports as a share of GDP. GDP per capita is adjusted for inflation and differences in the cost of living between countries. | Annual average growth of trade vs. GDP per capita () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 33, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": true, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "relative", "minTime": 1945, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": true, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2846, "slug": "growth-of-income-and-trade", "title": "Annual average growth of trade vs. GDP per capita", "subtitle": "Trade is expressed in exports as a share of GDP. GDP per capita is adjusted for inflation and differences in the cost of living between countries.", "originUrl": "https://ourworldindata.org/trade-and-econ-growth", "dimensions": [ { "display": { "name": "Trade", "unit": "% of GDP", "tolerance": 10 }, "property": "y", "variableId": 93834 }, { "display": { "tolerance": 10, "numDecimalPlaces": 0 }, "property": "x", "variableId": 900793 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "excludedEntities": [], "hideRelativeToggle": false } |
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2018-07-05 20:36:35 | 2024-04-08 12:13:54 | 2023-11-30 14:03:47 | 2018-07-05 20:36:39 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Value of imported goods as a share of GDP | Estimates correspond to merchandise import-to-GDP ratios for countries and regions. All ratios are taken at current prices. See source for more details. | Value of imported goods as a share of GDP () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 11, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2844, "slug": "merchandise-imports-gdp-cepii", "title": "Value of imported goods as a share of GDP", "subtitle": "Estimates correspond to merchandise import-to-GDP ratios for countries and regions. All ratios are taken at current prices. See source for more details.", "originUrl": "ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "% of GDP" }, "property": "y", "variableId": 93833 } ], "selectedEntityNames": [ "China", "United Kingdom", "Brazil", "United States" ] } |
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2018-07-05 20:23:39 | 2024-04-15 12:28:03 | 2024-04-15 12:28:03 | 2018-07-05 20:23:39 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Value of exported goods as a share of GDP | Total value of merchandise exports divided by gross domestic product, expressed as a percentage. | Value of exported goods as a share of GDP () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 22, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2843, "slug": "merchandise-exports-gdp-cepii", "title": "Value of exported goods as a share of GDP", "subtitle": "Total value of merchandise exports divided by gross domestic product, expressed as a percentage.", "originUrl": "https://ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": { "unit": "% of GDP", "shortUnit": "%", "includeInTable": true, "numDecimalPlaces": 0 }, "property": "y", "variableId": 93834 } ], "selectedEntityNames": [ "United Kingdom", "United States", "China", "Brazil" ] } |
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2018-06-14 16:38:11 | 2024-04-08 12:13:54 | 2018-07-10 10:04:27 | 2018-06-14 16:39:47 | Diana Beltekian 19 | Esteban Ortiz-Ospina 7 | 1 | Distribution of global merchandise exports, by region of origin | Percentage of total global merchandise exports that correspond to exports from high-, middle- and low-income countries. | Distribution of global merchandise exports, by region of origin () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 5, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "disabled", "compareEndPointsOnly": false, "type": "StackedArea", "hasMapTab": false, "stackMode": "relative", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2808, "slug": "distribution-of-global-merchandise-exports-by-region-of-origin", "title": "Distribution of global merchandise exports, by region of origin", "subtitle": "Percentage of total global merchandise exports that correspond to exports from high-, middle- and low-income countries.", "originUrl": "ourworldindata.org/trade-and-globalization", "dimensions": [ { "display": {}, "property": "y", "variableId": 93834 } ], "hideRelativeToggle": true, "selectedEntityNames": [ "Low income", "Lower-middle income", "Upper-middle income", "High income" ] } |
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2018-05-04 16:38:02 | 2024-04-09 08:01:23 | 2024-04-09 08:01:23 | 2018-05-04 19:06:11 | Marcel Gerber 49 | Esteban Ortiz-Ospina 7 | 1 | Consumption shares in selected non-essential products | Share of household consumption going to alcohol, games of chance, and tobacco. The data comes from surveys conducted between 2000 and 2010. The database draws on a variety of country surveys which differ in design, methodology, and year conducted. Cross-country comparisons should be made with caution. | Consumption shares in selected non-essential products () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 9, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "change-country", "compareEndPointsOnly": false, "type": "DiscreteBar", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2679, "slug": "consumption-shares-in-selected-non-essential-products", "title": "Consumption shares in selected non-essential products", "subtitle": "Share of household consumption going to alcohol, games of chance, and tobacco. The data comes from surveys conducted between 2000 and 2010. The database draws on a variety of country surveys which differ in design, methodology, and year conducted. Cross-country comparisons should be made with caution.", "originUrl": "ourworldindata.org/economic-growth", "dimensions": [ { "display": { "name": "Alcohol", "includeInTable": true }, "property": "y", "variableId": 97477 }, { "display": { "name": "Games of chance", "includeInTable": true }, "property": "y", "variableId": 97478 }, { "display": { "name": "Tobacco", "includeInTable": true }, "property": "y", "variableId": 97479 } ], "sourceDesc": "World Bank", "selectedEntityNames": [ "Madagascar" ] } |
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2018-04-11 17:56:34 | 2024-07-31 08:05:00 | 2024-07-31 08:05:00 | 2018-04-11 17:56:34 | Bastian Herre 51 | Esteban Ortiz-Ospina 7 | 1 | Armed forces personnel as a share of the total labor force | Armed forces personnel are active duty military personnel, including paramilitary forces if their training, organization, equipment, and control suggest they may be used to support or replace regular military forces. | The labor force comprises all people who meet the ILO's definition of the economically active population. | Armed forces personnel as a share of the total labor force () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 25, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2586, "note": "The labor force comprises all people who meet the ILO's definition of the economically active population.", "slug": "armed-forces-personnel-of-total-labor-force", "title": "Armed forces personnel as a share of the total labor force", "subtitle": "Armed forces personnel are active duty military personnel, including paramilitary forces if their training, organization, equipment, and control suggest they may be used to support or replace regular military forces.", "originUrl": "https://ourworldindata.org/military-personnel-spending", "dimensions": [ { "property": "y", "variableId": 905359 } ], "sourceDesc": "International Institute for Strategic Studies (via the World Bank)", "hideRelativeToggle": false, "selectedEntityNames": [ "China", "Russia", "India", "United States", "North Korea", "Syria" ] } |
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2018-04-11 17:31:42 | 2024-07-31 08:55:42 | 2024-07-31 08:55:42 | 2018-04-11 17:31:42 | Bastian Herre 51 | Esteban Ortiz-Ospina 7 | 1 | Military spending as a share of GDP | Military expenditure divided by gross domestic product, expressed as a percentage. Includes military and civil personnel, operation and maintenance, procurement, military research and development, infrastructure, and aid. | Military spending as a share of GDP (shorter-term data from SIPRI) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 29, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2583, "slug": "military-spending-as-a-share-of-gdp-sipri", "title": "Military spending as a share of GDP", "subtitle": "Military expenditure divided by gross domestic product, expressed as a percentage. Includes military and civil personnel, operation and maintenance, procurement, military research and development, infrastructure, and aid.", "originUrl": "https://ourworldindata.org/military-personnel-spending", "dimensions": [ { "display": { "unit": "% of GDP", "shortUnit": "%", "includeInTable": true }, "property": "y", "variableId": 959843 } ], "variantName": "shorter-term data from SIPRI", "hideRelativeToggle": false, "selectedEntityNames": [ "United States", "Russia", "United Kingdom", "China", "Germany", "India", "Saudi Arabia" ], "selectedEntityColors": { "World": "#111" } } |
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2018-04-11 17:15:47 | 2024-07-31 08:23:13 | 2024-07-31 08:23:13 | 2018-04-11 17:15:47 | Bastian Herre 51 | Esteban Ortiz-Ospina 7 | 1 | Armed forces personnel | Armed forces personnel are active duty military personnel, including paramilitary forces if their training, organization, equipment, and control suggest they may be used to support or replace regular military forces. | Armed forces personnel (shorter-term data from IISS) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 31, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2582, "slug": "armed-forces-personnel", "title": "Armed forces personnel", "subtitle": "Armed forces personnel are active duty military personnel, including paramilitary forces if their training, organization, equipment, and control suggest they may be used to support or replace regular military forces.", "originUrl": "https://ourworldindata.org/military-personnel-spending", "dimensions": [ { "display": { "unit": "", "includeInTable": true, "numDecimalPlaces": 0 }, "property": "y", "variableId": 905358 } ], "sourceDesc": "International Institute for Strategic Studies (via the World Bank)", "variantName": "shorter-term data from IISS", "hideRelativeToggle": false, "selectedEntityNames": [ "China", "India", "Russia", "United States", "Egypt", "Brazil" ], "selectedEntityColors": {} } |
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2018-04-02 15:32:53 | 2024-04-08 12:13:54 | 2023-12-28 11:44:03 | 2018-04-02 15:32:53 | Edouard Mathieu 46 | Esteban Ortiz-Ospina 7 | 1 | Unadjusted gender wage gap including unemployed | Shown are unadjusted pay gaps assigning zero income to individuals who are not employed. All figures correspond to women's income as a percent of men's, including wages and profits from self-employment. | Unadjusted gender wage gap including unemployed () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 8, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "DiscreteBar", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2522, "slug": "unadjusted-gender-wage-gap-including-unemployed", "title": "Unadjusted gender wage gap including unemployed", "subtitle": "Shown are unadjusted pay gaps assigning zero income to individuals who are not employed. All figures correspond to women's income as a percent of men's, including wages and profits from self-employment.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "property": "y", "variableId": 96589 } ], "selectedEntityNames": [ "Armenia", "Bolivia", "Colombia", "Georgia", "Ghana", "Kenya", "Laos", "North Macedonia", "Sri Lanka", "Ukraine", "Vietnam" ] } |
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2521 | employment-to-population-ratio-men-vs-women | ScatterPlot | { "id": 2521, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "employment-to-population-ratio-men-vs-women", "type": "ScatterPlot", "title": "Employment-to-population ratio, men vs. women", "xAxis": { "min": 0 }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 16, "subtitle": "The employment-to-population ratio corresponds to the proportion of a country's population 15+ that is employed.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 65452 }, { "display": { "tolerance": 5 }, "property": "x", "variableId": 65475 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT", "isPublished": true, "comparisonLines": [ {} ], "hideRelativeToggle": false } |
2018-04-02 15:12:59 | 2024-07-17 09:52:53 | 2024-07-17 09:52:53 | 2018-04-02 15:12:59 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Employment-to-population ratio, men vs. women | The employment-to-population ratio corresponds to the proportion of a country's population 15+ that is employed. | Employment-to-population ratio, men vs. women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 16, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2521, "slug": "employment-to-population-ratio-men-vs-women", "title": "Employment-to-population ratio, men vs. women", "subtitle": "The employment-to-population ratio corresponds to the proportion of a country's population 15+ that is employed.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 65452 }, { "display": { "tolerance": 5 }, "property": "x", "variableId": 65475 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2018-03-22 16:36:15 | 2024-07-31 09:04:41 | 2024-07-31 09:04:41 | 2018-03-22 16:40:46 | ETL 74 | Esteban Ortiz-Ospina 7 | 1 | Gender wage gap vs. GDP per capita | The vertical axis shows the unadjusted gender wage gap calculated as the difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men. The horizontal axis shows GDP per capita, adjusted for inflation and differences in the cost of living between countries. | GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. | Gender wage gap vs. GDP per capita (By income group) | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 36, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": true, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2437, "note": "GDP per capita is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "slug": "gender-wage-gap-vs-gdp-per-capita-income-groups", "title": "Gender wage gap vs. GDP per capita", "subtitle": "The vertical axis shows the unadjusted gender wage gap calculated as the difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men. The horizontal axis shows GDP per capita, adjusted for inflation and differences in the cost of living between countries.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "tolerance": 2 }, "property": "y", "variableId": 65628 }, { "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 960074 } ], "sourceDesc": "ILOSTAT, Data compiled from multiple sources by World Bank", "variantName": "By income group", "hideRelativeToggle": false } |
2431 | proportion-of-women-in-senior-and-middle-management-positions | LineChart | { "id": 2431, "map": { "colorScale": { "baseColorScheme": "YlGnBu", "binningStrategy": "manual", "customNumericColors": [ "#dba198", "#d08a94", "#c37491", "#b2608f", "#863d8c", "#7a0177" ], "customNumericLabels": [ "", null, null, null, null, null, null ], "customNumericValues": [ 10, 20, 30, 40, 50, 7 ], "customNumericMinValue": 0, "customNumericColorsActive": true }, "columnSlug": "575311", "timeTolerance": 10 }, "tab": "map", "note": "Differences in the levels of responsibility between men and women, and the enterprises and institutions for which they work, are not considered.", "slug": "proportion-of-women-in-senior-and-middle-management-positions", "title": "Share of senior and middle management positions filled by women", "yAxis": { "max": 0, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 31, "subtitle": "Women who are employed in decision-making and management roles in government, as well as large enterprises and institutions.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "unit": "%", "includeInTable": true, "numDecimalPlaces": 1 }, "property": "y", "variableId": 803966 } ], "sourceDesc": "United Nations Statistics Division", "isPublished": true, "selectedEntityNames": [ "Luxembourg", "Samoa", "Nicaragua", "Bangladesh", "Greece", "Germany", "India" ], "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2018-03-21 20:13:00 | 2024-04-17 09:21:32 | 2024-04-17 09:21:32 | 2018-03-21 20:13:00 | Bastian Herre 51 | Esteban Ortiz-Ospina 7 | 1 | Share of senior and middle management positions filled by women | Women who are employed in decision-making and management roles in government, as well as large enterprises and institutions. | Differences in the levels of responsibility between men and women, and the enterprises and institutions for which they work, are not considered. | Share of senior and middle management positions filled by women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 31, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2431, "note": "Differences in the levels of responsibility between men and women, and the enterprises and institutions for which they work, are not considered.", "slug": "proportion-of-women-in-senior-and-middle-management-positions", "title": "Share of senior and middle management positions filled by women", "subtitle": "Women who are employed in decision-making and management roles in government, as well as large enterprises and institutions.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "unit": "%", "includeInTable": true, "numDecimalPlaces": 1 }, "property": "y", "variableId": 803966 } ], "sourceDesc": "United Nations Statistics Division", "selectedEntityNames": [ "Luxembourg", "Samoa", "Nicaragua", "Bangladesh", "Greece", "Germany", "India" ] } |
2415 | land-ownership-men-vs-women | ScatterPlot | { "id": 2415, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "land-ownership-men-vs-women", "type": "ScatterPlot", "title": "Land ownership, men vs. women", "xAxis": { "min": 0 }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 21, "subtitle": "Percentage of men and women aged 15-49 who solely own land that is legally registered with their name or cannot be sold without their signature.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "tolerance": 10 }, "property": "y", "variableId": 930939 }, { "display": { "tolerance": 10 }, "property": "x", "variableId": 930933 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "World Bank, Gender Statistics (based on multiple sources)", "isPublished": true, "hideTimeline": true, "comparisonLines": [ {} ], "hideRelativeToggle": false } |
2018-03-20 20:21:22 | 2024-07-17 09:52:42 | 2024-07-17 09:52:42 | 2018-03-20 20:21:22 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Land ownership, men vs. women | Percentage of men and women aged 15-49 who solely own land that is legally registered with their name or cannot be sold without their signature. | Land ownership, men vs. women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 21, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2415, "slug": "land-ownership-men-vs-women", "title": "Land ownership, men vs. women", "subtitle": "Percentage of men and women aged 15-49 who solely own land that is legally registered with their name or cannot be sold without their signature.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "tolerance": 10 }, "property": "y", "variableId": 930939 }, { "display": { "tolerance": 10 }, "property": "x", "variableId": 930933 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "World Bank, Gender Statistics (based on multiple sources)", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
|
2414 | participation-of-women-in-purchase-decisions | ScatterPlot | { "id": 2414, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericLabels": [ null, null, null, null, null ], "customNumericMinValue": 0 }, "columnSlug": "43460" }, "note": "GDP data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "slug": "participation-of-women-in-purchase-decisions", "type": "ScatterPlot", "title": "Participation of women in major purchase decisions", "xAxis": { "min": 0, "canChangeScaleType": true }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 39, "subtitle": "Percentage of currently married women aged 15-49 who say that they alone or jointly have a say in major household purchase decisions.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 930811 }, { "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "Data compiled from multiple sources by World Bank", "isPublished": true, "hideTimeline": true, "hideRelativeToggle": false } |
2018-03-20 19:53:13 | 2024-07-17 09:52:41 | 2024-07-17 09:52:41 | 2018-03-20 19:53:13 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Participation of women in major purchase decisions | Percentage of currently married women aged 15-49 who say that they alone or jointly have a say in major household purchase decisions. | GDP data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. | Participation of women in major purchase decisions () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 39, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": true, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2414, "note": "GDP data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices.", "slug": "participation-of-women-in-purchase-decisions", "title": "Participation of women in major purchase decisions", "subtitle": "Percentage of currently married women aged 15-49 who say that they alone or jointly have a say in major household purchase decisions.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 930811 }, { "property": "x", "variableId": 905490 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "Data compiled from multiple sources by World Bank", "hideRelativeToggle": false } |
2413 | borrowing-to-start-or-expand-business-men-vs-women | ScatterPlot | { "id": 2413, "map": { "time": 2017, "colorScale": { "binningStrategy": "equalInterval", "customNumericLabels": [ null, null, null, null, null ], "customNumericMinValue": 0 }, "columnSlug": "537816" }, "slug": "borrowing-to-start-or-expand-business-men-vs-women", "type": "ScatterPlot", "title": "Borrowing to start or expand business, men vs. women", "xAxis": { "min": 0 }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 21, "subtitle": "Percentage of men and women (ages 15+) who report borrowing any money in the past 12 months (by themselves or together with someone else) to start, operate, or expand a farm or business. Colors represent world regions. Bubble sizes are proportional to the population of the country.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Percentage of women" }, "property": "y", "variableId": 931581 }, { "display": { "name": "Percentage of men" }, "property": "x", "variableId": 931582 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "World Bank, Gender Statistics (based on multiple sources)", "isPublished": true, "hideTimeline": true, "comparisonLines": [ {} ], "hideRelativeToggle": false } |
2018-03-20 19:42:57 | 2024-07-17 09:52:39 | 2024-07-17 09:52:39 | 2018-03-20 19:42:57 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Borrowing to start or expand business, men vs. women | Percentage of men and women (ages 15+) who report borrowing any money in the past 12 months (by themselves or together with someone else) to start, operate, or expand a farm or business. Colors represent world regions. Bubble sizes are proportional to the population of the country. | Borrowing to start or expand business, men vs. women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 21, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2413, "slug": "borrowing-to-start-or-expand-business-men-vs-women", "title": "Borrowing to start or expand business, men vs. women", "subtitle": "Percentage of men and women (ages 15+) who report borrowing any money in the past 12 months (by themselves or together with someone else) to start, operate, or expand a farm or business. Colors represent world regions. Bubble sizes are proportional to the population of the country.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "name": "Percentage of women" }, "property": "y", "variableId": 931581 }, { "display": { "name": "Percentage of men" }, "property": "x", "variableId": 931582 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "World Bank, Gender Statistics (based on multiple sources)", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2357 | difference-in-value-of-goods-exported-to-and-imported-by-us-vs-gdp | ScatterPlot | { "id": 2357, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "difference-in-value-of-goods-exported-to-and-imported-by-us-vs-gdp", "type": "ScatterPlot", "title": "Difference in the value of goods exported to and imported by the US vs. GDP per capita", "xAxis": { "scaleType": "log", "canChangeScaleType": true }, "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": -10000, "version": 22, "subtitle": "The vertical axis shows differences between the value of goods that the US reports importing from partner countries, and the value of goods that each partner country reports exporting to the US. For example, for China, the figure in the chart corresponds to \u201cValue of merchandise imports in US from China\u201d minus \u201cValue of merchandise exports from China to the US\u201d.", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Difference (current US$)", "shortUnit": "$", "tolerance": 10, "conversionFactor": 1000000 }, "property": "y", "variableId": 85967 }, { "property": "x", "variableId": 905517 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "IMF DOTS (2017), World Bank and OECD", "hideTimeline": true, "excludedEntities": [ 144 ], "hideRelativeToggle": false } |
2018-03-14 21:16:26 | 2024-07-17 09:52:32 | 2024-07-17 09:52:32 | 2018-03-14 21:20:33 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Difference in the value of goods exported to and imported by the US vs. GDP per capita | The vertical axis shows differences between the value of goods that the US reports importing from partner countries, and the value of goods that each partner country reports exporting to the US. For example, for China, the figure in the chart corresponds to “Value of merchandise imports in US from China” minus “Value of merchandise exports from China to the US”. | Difference in the value of goods exported to and imported by the US vs. GDP per capita () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": false, "invertColorScheme": false, "version": 22, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": -10000, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2357, "slug": "difference-in-value-of-goods-exported-to-and-imported-by-us-vs-gdp", "title": "Difference in the value of goods exported to and imported by the US vs. GDP per capita", "subtitle": "The vertical axis shows differences between the value of goods that the US reports importing from partner countries, and the value of goods that each partner country reports exporting to the US. For example, for China, the figure in the chart corresponds to \u201cValue of merchandise imports in US from China\u201d minus \u201cValue of merchandise exports from China to the US\u201d.", "dimensions": [ { "display": { "name": "Difference (current US$)", "shortUnit": "$", "tolerance": 10, "conversionFactor": 1000000 }, "property": "y", "variableId": 85967 }, { "property": "x", "variableId": 905517 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "IMF DOTS (2017), World Bank and OECD", "excludedEntities": [ 144 ], "hideRelativeToggle": false } |
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2338 | average-literacy-score-piaac-test-vs-national-literacy-rate-cia | ScatterPlot | { "id": 2338, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "note": "For the UNESCO data, adults are defined as aged 15 and over, for PIAAC data the adult population is defined as 16-65 years.", "slug": "average-literacy-score-piaac-test-vs-national-literacy-rate-cia", "type": "ScatterPlot", "title": "UNESCO literacy rate vs. PIAAC literacy proficiency", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 29, "subtitle": "The vertical axis measures adult literacy rates according to the UNESCO definition of \"people who can, with understanding, read and write a short, simple statement on their everyday life\". The horizontal axis shows adult literacy proficiency according to PIAAC tests, which measure reading skills on a continuous scale.", "originUrl": "ourworldindata.org/literacy", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Literacy rate (UNESCO)", "shortUnit": "%", "tolerance": 15 }, "property": "y", "variableId": 814699 }, { "display": { "name": "Literacy proficiency (PIAAC)", "unit": "", "tolerance": 15 }, "property": "x", "variableId": 805519 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "hideTimeline": true, "hideRelativeToggle": false } |
2018-03-09 20:00:07 | 2024-07-17 09:52:29 | 2024-07-17 09:52:29 | 2018-03-09 20:02:37 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | UNESCO literacy rate vs. PIAAC literacy proficiency | The vertical axis measures adult literacy rates according to the UNESCO definition of "people who can, with understanding, read and write a short, simple statement on their everyday life". The horizontal axis shows adult literacy proficiency according to PIAAC tests, which measure reading skills on a continuous scale. | For the UNESCO data, adults are defined as aged 15 and over, for PIAAC data the adult population is defined as 16-65 years. | UNESCO literacy rate vs. PIAAC literacy proficiency () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 29, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2338, "note": "For the UNESCO data, adults are defined as aged 15 and over, for PIAAC data the adult population is defined as 16-65 years.", "slug": "average-literacy-score-piaac-test-vs-national-literacy-rate-cia", "title": "UNESCO literacy rate vs. PIAAC literacy proficiency", "subtitle": "The vertical axis measures adult literacy rates according to the UNESCO definition of \"people who can, with understanding, read and write a short, simple statement on their everyday life\". The horizontal axis shows adult literacy proficiency according to PIAAC tests, which measure reading skills on a continuous scale.", "originUrl": "ourworldindata.org/literacy", "dimensions": [ { "display": { "name": "Literacy rate (UNESCO)", "shortUnit": "%", "tolerance": 15 }, "property": "y", "variableId": 814699 }, { "display": { "name": "Literacy proficiency (PIAAC)", "unit": "", "tolerance": 15 }, "property": "x", "variableId": 805519 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "hideRelativeToggle": false } |
2336 | literacy-rates-vs-average-years-of-schooling | ScatterPlot | { "id": 2336, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "literacy-rates-vs-average-years-of-schooling", "type": "ScatterPlot", "title": "Literacy rate vs. average years of schooling", "yAxis": { "max": 100, "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 22, "subtitle": "", "originUrl": "ourworldindata.org/literacy", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Adult literacy rate (15 years and over)", "unit": "%", "tolerance": 5 }, "property": "y", "variableId": 814699 }, { "display": { "name": "Average years of education for 15-64 years olds", "tolerance": 5 }, "property": "x", "variableId": 809139 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "timelineMaxTime": 2020, "excludedEntities": [ 355 ], "hideRelativeToggle": false, "compareEndPointsOnly": true } |
2018-03-09 19:06:12 | 2024-07-17 09:52:28 | 2024-07-17 09:52:28 | 2018-03-09 19:06:24 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Literacy rate vs. average years of schooling | Literacy rate vs. average years of schooling () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 22, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": true, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2336, "slug": "literacy-rates-vs-average-years-of-schooling", "title": "Literacy rate vs. average years of schooling", "subtitle": "", "originUrl": "ourworldindata.org/literacy", "dimensions": [ { "display": { "name": "Adult literacy rate (15 years and over)", "unit": "%", "tolerance": 5 }, "property": "y", "variableId": 814699 }, { "display": { "name": "Average years of education for 15-64 years olds", "tolerance": 5 }, "property": "x", "variableId": 809139 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "timelineMaxTime": 2020, "excludedEntities": [ 355 ], "hideRelativeToggle": false } |
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2335 | literacy-by-years-of-schooling-us-1947 | DiscreteBar | { "id": 2335, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "literacy-by-years-of-schooling-us-1947", "type": "DiscreteBar", "title": "Literacy by years of schooling, United States", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 4, "subtitle": "Percentage of literate population by years of schooling completed in the United States, 1947. Estimates correspond to people aged 14 years and older.", "originUrl": "ourworldindata.org/literacy", "dimensions": [ { "property": "y", "variableId": 85927 } ], "isPublished": true, "hideTimeline": true, "addCountryMode": "disabled", "selectedEntityNames": [ "1 year", "2 years", "3 years", "4 years", "No schooling" ] } |
2018-03-09 18:44:20 | 2024-04-08 12:13:54 | 2022-11-02 15:17:21 | 2018-03-09 18:44:20 | Lucas Rodés-Guirao 52 | Esteban Ortiz-Ospina 7 | 1 | Literacy by years of schooling, United States | Percentage of literate population by years of schooling completed in the United States, 1947. Estimates correspond to people aged 14 years and older. | Literacy by years of schooling, United States () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 4, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "disabled", "compareEndPointsOnly": false, "type": "DiscreteBar", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2335, "slug": "literacy-by-years-of-schooling-us-1947", "title": "Literacy by years of schooling, United States", "subtitle": "Percentage of literate population by years of schooling completed in the United States, 1947. Estimates correspond to people aged 14 years and older.", "originUrl": "ourworldindata.org/literacy", "dimensions": [ { "property": "y", "variableId": 85927 } ], "selectedEntityNames": [ "1 year", "2 years", "3 years", "4 years", "No schooling" ] } |
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2309 | share-of-male-vs-female-employment-in-services | ScatterPlot | { "id": 2309, "map": { "time": 2017, "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "share-of-male-vs-female-employment-in-services", "type": "ScatterPlot", "title": "Share of male vs. female employment in services", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 20, "subtitle": "The horizontal axis shows female employment in services as a share of total female employment. The vertical axis shows male employment in services as a share of total male employment. The services sector consists of retail trade, restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services.", "originUrl": "ourworldindata.org/female-labor-supply", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Employment in services, male (% of male employment)", "unit": "% of male employment", "shortUnit": "%", "tolerance": 3 }, "property": "y", "variableId": 905986 }, { "display": { "name": "Employment in services, female (% of female employment)", "unit": "% of female employment", "shortUnit": "%", "tolerance": 3 }, "property": "x", "variableId": 905985 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "International Labour Organization (via World Bank)", "isPublished": true, "comparisonLines": [ {} ], "hideRelativeToggle": false, "matchingEntitiesOnly": true } |
2018-03-07 14:54:37 | 2024-07-17 09:52:27 | 2024-07-17 09:52:27 | 2018-03-07 14:57:53 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Share of male vs. female employment in services | The horizontal axis shows female employment in services as a share of total female employment. The vertical axis shows male employment in services as a share of total male employment. The services sector consists of retail trade, restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services. | Share of male vs. female employment in services () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 20, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2309, "slug": "share-of-male-vs-female-employment-in-services", "title": "Share of male vs. female employment in services", "subtitle": "The horizontal axis shows female employment in services as a share of total female employment. The vertical axis shows male employment in services as a share of total male employment. The services sector consists of retail trade, restaurants and hotels; transport, storage, and communications; financing, insurance, real estate, and business services; and community, social, and personal services.", "originUrl": "ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "name": "Employment in services, male (% of male employment)", "unit": "% of male employment", "shortUnit": "%", "tolerance": 3 }, "property": "y", "variableId": 905986 }, { "display": { "name": "Employment in services, female (% of female employment)", "unit": "% of female employment", "shortUnit": "%", "tolerance": 3 }, "property": "x", "variableId": 905985 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "International Labour Organization (via World Bank)", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2308 | share-of-male-vs-female-employment-in-agri | ScatterPlot | { "id": 2308, "map": { "time": 2017, "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "share-of-male-vs-female-employment-in-agri", "type": "ScatterPlot", "title": "Share of male vs. female employment in agriculture", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 21, "subtitle": "The horizontal axis shows female employment in agriculture as a share of total female employment. The vertical axis shows male employment in agriculture as a share of total male employment. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing.", "originUrl": "ourworldindata.org/female-labor-supply", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Employment in agriculture, male (% of male employment)", "unit": "% of male employment", "shortUnit": "%", "tolerance": 3 }, "property": "y", "variableId": 905939 }, { "display": { "name": "Employment in agriculture, female (% of female employment)", "unit": "% of female employment", "shortUnit": "%", "tolerance": 3 }, "property": "x", "variableId": 905938 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "International Labour Organization (via World Bank)", "isPublished": true, "comparisonLines": [ {} ], "hideRelativeToggle": false, "matchingEntitiesOnly": true } |
2018-03-07 14:51:17 | 2024-07-17 09:52:26 | 2024-07-17 09:52:26 | 2018-03-07 14:54:36 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Share of male vs. female employment in agriculture | The horizontal axis shows female employment in agriculture as a share of total female employment. The vertical axis shows male employment in agriculture as a share of total male employment. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing. | Share of male vs. female employment in agriculture () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 21, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2308, "slug": "share-of-male-vs-female-employment-in-agri", "title": "Share of male vs. female employment in agriculture", "subtitle": "The horizontal axis shows female employment in agriculture as a share of total female employment. The vertical axis shows male employment in agriculture as a share of total male employment. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing.", "originUrl": "ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "name": "Employment in agriculture, male (% of male employment)", "unit": "% of male employment", "shortUnit": "%", "tolerance": 3 }, "property": "y", "variableId": 905939 }, { "display": { "name": "Employment in agriculture, female (% of female employment)", "unit": "% of female employment", "shortUnit": "%", "tolerance": 3 }, "property": "x", "variableId": 905938 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "International Labour Organization (via World Bank)", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2018-03-07 14:44:32 | 2024-07-17 09:52:25 | 2024-07-17 09:52:25 | 2018-03-07 14:44:32 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Share of male vs. female employment in industry | The horizontal axis shows female employment in industry as a share of total female employment. The vertical axis shows male employment in industry as a share of total male employment. The industry sector consists of mining, manufacturing, construction, and public utilities. | Share of male vs. female employment in industry () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 19, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2307, "slug": "share-of-male-vs-female-employment-in-industry", "title": "Share of male vs. female employment in industry", "subtitle": "The horizontal axis shows female employment in industry as a share of total female employment. The vertical axis shows male employment in industry as a share of total male employment. The industry sector consists of mining, manufacturing, construction, and public utilities.", "originUrl": "https://ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "name": "Employment in industry, male (% of male employment)", "unit": "% of male employment", "shortUnit": "%", "tolerance": 3 }, "property": "y", "variableId": 905974 }, { "display": { "name": "Employment in industry, female (% of female employment)", "unit": "% of female employment", "shortUnit": "%", "tolerance": 3 }, "property": "x", "variableId": 905973 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "International Labour Organization (via World Bank)", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2018-03-06 19:25:38 | 2024-05-31 07:02:20 | 2024-05-31 07:02:20 | 2018-03-06 19:25:38 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Proportion of labor force who are women | Female labor force as a percentage of total labor force. Labor force comprises people ages 15 and older who are economically active. | Proportion of labor force who are women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 12, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2304, "slug": "proportion-of-labor-force-who-are-women", "title": "Proportion of labor force who are women", "subtitle": "Female labor force as a percentage of total labor force. Labor force comprises people ages 15 and older who are economically active.", "originUrl": "ourworldindata.org/female-labor-supply", "dimensions": [ { "property": "y", "variableId": 906032 } ], "selectedEntityNames": [ "Brazil", "Egypt", "Nepal", "Norway", "Saudi Arabia" ] } |
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2018-03-06 19:20:49 | 2024-04-08 12:13:54 | 2022-11-24 15:12:04 | 2018-03-06 19:20:49 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Proportion of female employees by economic sector | Representation of female employment (i.e. female employment share) in the three main economic sectors | Proportion of female employees by economic sector () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 4, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "change-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2303, "slug": "share-of-female-workers-by-sector", "title": "Proportion of female employees by economic sector", "subtitle": "Representation of female employment (i.e. female employment share) in the three main economic sectors", "originUrl": "https://ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "name": "Female share in agriculture", "includeInTable": true }, "property": "y", "variableId": 65933 }, { "display": { "name": "Female share in industry", "includeInTable": true }, "property": "y", "variableId": 66146 }, { "display": { "name": "Female share in services", "includeInTable": true }, "property": "y", "variableId": 65716 } ], "sourceDesc": "ILOSTAT", "selectedEntityNames": [ "Germany" ] } |
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2018-03-06 19:02:45 | 2024-07-17 09:52:24 | 2024-07-17 09:52:24 | 2018-03-06 19:11:41 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Unemployment rate by gender | The unemployment rate expresses the number of people unemployed as a percent of the labor force. All figures correspond to estimates modeled by the source. | Unemployment rate by gender () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 19, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2302, "slug": "unemployment-rate-men-vs-women", "title": "Unemployment rate by gender", "subtitle": "The unemployment rate expresses the number of people unemployed as a percent of the labor force. All figures correspond to estimates modeled by the source.", "originUrl": "https://ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "name": "Female unemployment", "unit": "%", "shortUnit": "%", "numDecimalPlaces": 1 }, "property": "y", "variableId": 906055 }, { "display": { "name": "Male unemployment", "unit": "%", "shortUnit": "%", "numDecimalPlaces": 1 }, "property": "x", "variableId": 906056 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2018-03-06 19:02:34 | 2024-05-31 07:02:19 | 2024-05-31 07:02:19 | 2018-03-06 19:02:34 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Unemployment rate, women | The unemployment rate expresses the number of people unemployed as a percent of the labor force. All figures correspond to estimates modeled by the source. | Unemployment rate, women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "map", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 6, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "LineChart", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2301, "slug": "unemployment-rate-women", "title": "Unemployment rate, women", "subtitle": "The unemployment rate expresses the number of people unemployed as a percent of the labor force. All figures correspond to estimates modeled by the source.", "originUrl": "https://ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "unit": "%", "numDecimalPlaces": 1 }, "property": "y", "variableId": 906055 } ], "selectedEntityNames": [ "Germany", "France", "United States", "Uganda", "South Korea", "South Africa" ] } |
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2018-03-02 21:21:04 | 2024-04-08 12:13:54 | 2024-03-06 12:03:24 | 2018-03-02 21:24:42 | Bastian Herre 51 | Esteban Ortiz-Ospina 7 | 1 | Female labor force by age | Population in the labor force are those recorded as economically active. It includes both employed and unemployed people looking for jobs. All figures correspond to 'modelled ILO estimates' (see source for details). | Female labor force by age () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": 2017, "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 25, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "StackedArea", "hasMapTab": false, "stackMode": "relative", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2298, "slug": "female-labor-force-by-age", "title": "Female labor force by age", "subtitle": "Population in the labor force are those recorded as economically active. It includes both employed and unemployed people looking for jobs. All figures correspond to 'modelled ILO estimates' (see source for details).", "originUrl": "https://ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "name": "Women 65+", "unit": "", "includeInTable": true, "conversionFactor": 1000 }, "property": "y", "variableId": 66111 }, { "display": { "name": "Women 55-64", "unit": "", "includeInTable": true, "conversionFactor": 1000 }, "property": "y", "variableId": 66110 }, { "display": { "name": "Women 45-54", "unit": "", "includeInTable": true, "conversionFactor": 1000 }, "property": "y", "variableId": 66109 }, { "display": { "name": "Women 35-44", "unit": "", "includeInTable": true, "conversionFactor": 1000 }, "property": "y", "variableId": 66108 }, { "display": { "name": "Women 25-34", "unit": "", "includeInTable": true, "conversionFactor": 1000 }, "property": "y", "variableId": 66107 }, { "display": { "name": "Women 15-24", "unit": "", "includeInTable": true, "conversionFactor": 1000 }, "property": "y", "variableId": 66106 } ], "sourceDesc": "ILOSTAT", "hideRelativeToggle": false, "selectedEntityNames": [ "World" ] } |
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2297 | labour-force-participation-younger-vs-older-women | ScatterPlot | { "id": 2297, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "labour-force-participation-younger-vs-older-women", "type": "ScatterPlot", "title": "Labor force participation, younger vs. older women", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "maxTime": 2015, "minTime": 2015, "version": 20, "subtitle": "The labor force participation rate corresponds to the proportion of the population that is economically active in the corresponding age bracket. All figures correspond to 'modelled ILO estimates' (see source for details).", "originUrl": "https://ourworldindata.org/female-labor-supply", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Labor force participation rate, women ages 25-34" }, "property": "y", "variableId": 65770 }, { "display": { "name": "Labor force participation rate, women ages 45-54" }, "property": "x", "variableId": 65772 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT", "isPublished": true, "hideTimeline": true, "comparisonLines": [ {} ], "hideRelativeToggle": false, "matchingEntitiesOnly": true } |
2018-03-02 20:42:45 | 2024-07-17 09:52:23 | 2024-07-17 09:52:23 | 2018-03-02 20:44:29 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Labor force participation, younger vs. older women | The labor force participation rate corresponds to the proportion of the population that is economically active in the corresponding age bracket. All figures correspond to 'modelled ILO estimates' (see source for details). | Labor force participation, younger vs. older women () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": 2015, "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": true, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 20, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": 2015, "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2297, "slug": "labour-force-participation-younger-vs-older-women", "title": "Labor force participation, younger vs. older women", "subtitle": "The labor force participation rate corresponds to the proportion of the population that is economically active in the corresponding age bracket. All figures correspond to 'modelled ILO estimates' (see source for details).", "originUrl": "https://ourworldindata.org/female-labor-supply", "dimensions": [ { "display": { "name": "Labor force participation rate, women ages 25-34" }, "property": "y", "variableId": 65770 }, { "display": { "name": "Labor force participation rate, women ages 45-54" }, "property": "x", "variableId": 65772 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2083 | share-of-students-in-top-pisa-mathematics-score-level-male-vs-female | ScatterPlot | { "id": 2083, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "share-of-students-in-top-pisa-mathematics-score-level-male-vs-female", "type": "ScatterPlot", "title": "Share of 15-year-olds in the highest mathematics score level, girls vs. boys", "xAxis": { "min": 300, "canChangeScaleType": true }, "yAxis": { "min": 300, "canChangeScaleType": true }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 24, "subtitle": "Assessed through the PISA mathematics scale, which is based on an OECD country mean of 500 points and a standard deviation of 100 points. The highest level of achievement is reaching a score surpassing 669 on the PISA mathematics scale (level 6).", "originUrl": "ourworldindata.org/global-education", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Share of boys", "tolerance": 5 }, "property": "y", "variableId": 805683 }, { "display": { "name": "Share of girls", "tolerance": 5 }, "property": "x", "variableId": 805682 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "OECD via World Bank", "isPublished": true, "comparisonLines": [ {} ], "hideRelativeToggle": false } |
2018-02-10 14:52:16 | 2024-07-17 09:51:57 | 2024-07-17 09:51:57 | 2018-02-10 14:53:06 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Share of 15-year-olds in the highest mathematics score level, girls vs. boys | Assessed through the PISA mathematics scale, which is based on an OECD country mean of 500 points and a standard deviation of 100 points. The highest level of achievement is reaching a score surpassing 669 on the PISA mathematics scale (level 6). | Share of 15-year-olds in the highest mathematics score level, girls vs. boys () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 24, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2083, "slug": "share-of-students-in-top-pisa-mathematics-score-level-male-vs-female", "title": "Share of 15-year-olds in the highest mathematics score level, girls vs. boys", "subtitle": "Assessed through the PISA mathematics scale, which is based on an OECD country mean of 500 points and a standard deviation of 100 points. The highest level of achievement is reaching a score surpassing 669 on the PISA mathematics scale (level 6).", "originUrl": "ourworldindata.org/global-education", "dimensions": [ { "display": { "name": "Share of boys", "tolerance": 5 }, "property": "y", "variableId": 805683 }, { "display": { "name": "Share of girls", "tolerance": 5 }, "property": "x", "variableId": 805682 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "OECD via World Bank", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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2040 | gender-gap-in-hourly-wages-vs-ratio-of-female-to-male-labor-force-participation | ScatterPlot | { "id": 2040, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "gender-gap-in-hourly-wages-vs-ratio-of-female-to-male-labor-force-participation", "type": "ScatterPlot", "title": "Gender gap in hourly wages vs. ratio of female-to-male labor force participation", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 20, "subtitle": "The vertical axis shows the unadjusted gender wage gap calculated as the difference between average hourly earnings of men and average hourly earnings of women expressed as a percentage of average hourly earnings of men. The horizontal axis shows the ratio of female to male labor force participation rates (participation rates correspond to the proportion of the population ages 15 and older that is economically active).", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 65628 }, { "display": { "tolerance": 5 }, "property": "x", "variableId": 931316 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT, World Bank, Gender Statistics (based on multiple sources)", "isPublished": true, "hideRelativeToggle": false } |
2018-02-07 21:53:52 | 2024-07-17 09:51:55 | 2024-07-17 09:51:55 | 2018-02-07 21:53:52 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Gender gap in hourly wages vs. ratio of female-to-male labor force participation | The vertical axis shows the unadjusted gender wage gap calculated as the difference between average hourly earnings of men and average hourly earnings of women expressed as a percentage of average hourly earnings of men. The horizontal axis shows the ratio of female to male labor force participation rates (participation rates correspond to the proportion of the population ages 15 and older that is economically active). | Gender gap in hourly wages vs. ratio of female-to-male labor force participation () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 20, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2040, "slug": "gender-gap-in-hourly-wages-vs-ratio-of-female-to-male-labor-force-participation", "title": "Gender gap in hourly wages vs. ratio of female-to-male labor force participation", "subtitle": "The vertical axis shows the unadjusted gender wage gap calculated as the difference between average hourly earnings of men and average hourly earnings of women expressed as a percentage of average hourly earnings of men. The horizontal axis shows the ratio of female to male labor force participation rates (participation rates correspond to the proportion of the population ages 15 and older that is economically active).", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "tolerance": 5 }, "property": "y", "variableId": 65628 }, { "display": { "tolerance": 5 }, "property": "x", "variableId": 931316 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT, World Bank, Gender Statistics (based on multiple sources)", "hideRelativeToggle": false } |
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2014 | extreme-poverty-headcount-ratio-vs-life-expectancy-at-birth | ScatterPlot | { "id": 2014, "map": { "time": 2016, "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "note": "This data is measured in [international-$](#dod:int_dollar_abbreviation) at 2017 prices to account for inflation and differences in the cost of living between countries. It relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "extreme-poverty-headcount-ratio-vs-life-expectancy-at-birth", "type": "ScatterPlot", "title": "Share in extreme poverty vs. life expectancy", "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 66, "subtitle": "The [period life expectancy](#dod:period-life-expectancy) at birth, in a given year. Extreme poverty is defined as living below the International Poverty Line of $2.15 per day.", "originUrl": "ourworldindata.org/life-expectancy", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Life expectancy", "unit": "years", "tolerance": 5 }, "property": "y", "variableId": 950927 }, { "display": { "name": "Share in extreme poverty", "unit": "%", "numDecimalPlaces": 1 }, "property": "x", "variableId": 899212 }, { "display": { "name": "Population" }, "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "isPublished": true, "excludedEntities": [ 355 ], "hideRelativeToggle": false } |
2018-02-02 14:33:03 | 2024-07-17 09:51:53 | 2024-07-17 09:51:53 | 2018-02-02 14:33:03 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Share in extreme poverty vs. life expectancy | The [period life expectancy](#dod:period-life-expectancy) at birth, in a given year. Extreme poverty is defined as living below the International Poverty Line of $2.15 per day. | This data is measured in [international-$](#dod:int_dollar_abbreviation) at 2017 prices to account for inflation and differences in the cost of living between countries. It relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita). | Share in extreme poverty vs. life expectancy () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 66, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 2014, "note": "This data is measured in [international-$](#dod:int_dollar_abbreviation) at 2017 prices to account for inflation and differences in the cost of living between countries. It relates to income measured after taxes and benefits, or to consumption, [per capita](#dod:per-capita).", "slug": "extreme-poverty-headcount-ratio-vs-life-expectancy-at-birth", "title": "Share in extreme poverty vs. life expectancy", "subtitle": "The [period life expectancy](#dod:period-life-expectancy) at birth, in a given year. Extreme poverty is defined as living below the International Poverty Line of $2.15 per day.", "originUrl": "ourworldindata.org/life-expectancy", "dimensions": [ { "display": { "name": "Life expectancy", "unit": "years", "tolerance": 5 }, "property": "y", "variableId": 950927 }, { "display": { "name": "Share in extreme poverty", "unit": "%", "numDecimalPlaces": 1 }, "property": "x", "variableId": 899212 }, { "display": { "name": "Population" }, "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "excludedEntities": [ 355 ], "hideRelativeToggle": false } |
1891 | gender-gap-in-average-wages-2000-vs-2015 | ScatterPlot | { "id": 1891, "map": { "colorScale": { "binningStrategy": "equalInterval", "customNumericMinValue": 0 } }, "slug": "gender-gap-in-average-wages-2000-vs-2015", "type": "ScatterPlot", "title": "Gender gap in average wages", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "minTime": "latest", "version": 19, "subtitle": "Difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men. This is shown for the year 2015 versus the year 2000.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "colorScale": { "binningStrategy": "equalInterval" }, "dimensions": [ { "display": { "name": "Gender wage gap in 2015", "tolerance": 7 }, "property": "y", "variableId": 65628 }, { "display": { "name": "Gender wage gap", "tolerance": 7 }, "property": "x", "targetYear": 2000, "variableId": 65628 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT", "isPublished": true, "comparisonLines": [ {} ], "hideRelativeToggle": false, "hideAnnotationFieldsInTitle": { "time": true, "entity": true, "changeInPrefix": true } } |
2018-01-17 16:36:29 | 2024-07-17 09:51:46 | 2024-07-17 09:51:46 | 2018-01-17 16:40:12 | Pablo Rosado 58 | Esteban Ortiz-Ospina 7 | 1 | Gender gap in average wages | Difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men. This is shown for the year 2015 versus the year 2000. | Gender gap in average wages () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 19, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "latest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 1891, "slug": "gender-gap-in-average-wages-2000-vs-2015", "title": "Gender gap in average wages", "subtitle": "Difference between average earnings of men and average earnings of women expressed as a percentage of average earnings of men. This is shown for the year 2015 versus the year 2000.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "name": "Gender wage gap in 2015", "tolerance": 7 }, "property": "y", "variableId": 65628 }, { "display": { "name": "Gender wage gap", "tolerance": 7 }, "property": "x", "targetYear": 2000, "variableId": 65628 }, { "property": "size", "variableId": 953903 }, { "property": "color", "variableId": 123 } ], "sourceDesc": "ILOSTAT", "comparisonLines": [ {} ], "hideRelativeToggle": false } |
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1884 | female-share-of-low-pay-earners | DiscreteBar | { "id": 1884, "map": { "colorScale": { "baseColorScheme": "OrRd", "binningStrategy": "manual", "customNumericColors": [ null ], "customNumericValues": [ 10, 20, 30, 40, 50, 60, 70, 80 ], "customNumericMinValue": 0 }, "columnSlug": "65810", "hideTimeline": true, "timeTolerance": 10 }, "slug": "female-share-of-low-pay-earners", "type": "DiscreteBar", "title": "Share of women among low pay earners", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 11, "subtitle": "Percentage of low pay workers, among all low pay workers, who are female. Workers are considered 'low pay' if their hourly earnings at all jobs are less than two-thirds of median hourly earnings.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "tolerance": 10, "includeInTable": true }, "property": "y", "variableId": 65810 } ], "sourceDesc": "ILOSTAT", "isPublished": true, "hideTimeline": true, "selectedEntityNames": [ "New Zealand", "Colombia", "Germany", "Cameroon", "Hungary", "Switzerland", "Vietnam", "Canada", "Portugal" ] } |
2018-01-17 15:22:48 | 2024-04-08 12:13:54 | 2023-06-22 18:08:23 | 2018-01-17 15:22:48 | Pablo Arriagada 62 | Esteban Ortiz-Ospina 7 | 1 | Share of women among low pay earners | Percentage of low pay workers, among all low pay workers, who are female. Workers are considered 'low pay' if their hourly earnings at all jobs are less than two-thirds of median hourly earnings. | Share of women among low pay earners () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 11, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "DiscreteBar", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 1884, "slug": "female-share-of-low-pay-earners", "title": "Share of women among low pay earners", "subtitle": "Percentage of low pay workers, among all low pay workers, who are female. Workers are considered 'low pay' if their hourly earnings at all jobs are less than two-thirds of median hourly earnings.", "originUrl": "https://ourworldindata.org/economic-inequality-by-gender", "dimensions": [ { "display": { "tolerance": 10, "includeInTable": true }, "property": "y", "variableId": 65810 } ], "sourceDesc": "ILOSTAT", "selectedEntityNames": [ "New Zealand", "Colombia", "Germany", "Cameroon", "Hungary", "Switzerland", "Vietnam", "Canada", "Portugal" ] } |
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1882 | gender-gap-in-average-wages-ilo | DiscreteBar | { "id": 1882, "map": { "colorScale": { "binningStrategy": "manual", "customNumericColors": [ "#fceb8c", null, null, null, null, null ], "customNumericValues": [ 0, 6, 12, 18, 24, 30 ], "customNumericMinValue": -10, "customNumericColorsActive": true }, "columnSlug": "65628", "timeTolerance": 5 }, "note": "The data corresponds to gross hourly earnings and includes both full-time and part-time workers.", "slug": "gender-gap-in-average-wages-ilo", "type": "DiscreteBar", "title": "Unadjusted gender gap in average hourly wages", "yAxis": { "min": 0 }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 7, "subtitle": "Gender wage gap, unadjusted for worker characteristics. Estimates correspond to the difference between average earnings of men and women, expressed as a percentage of average earnings of men.", "hasMapTab": true, "originUrl": "https://ourworldindata.org/biology-pay-gap", "dimensions": [ { "display": { "tolerance": 5, "includeInTable": true }, "property": "y", "variableId": 65628 } ], "sourceDesc": "ILOSTAT", "isPublished": true, "hideTimeline": true, "selectedEntityNames": [ "Malaysia", "Switzerland", "Uruguay", "Haiti", "France", "Costa Rica", "Vietnam", "South Korea", "Pakistan", "Norway" ] } |
2018-01-16 16:41:19 | 2024-04-08 12:13:54 | 2022-11-24 15:12:02 | 2018-01-16 16:41:47 | Mojmir Vinkler 59 | Esteban Ortiz-Ospina 7 | 1 | Unadjusted gender gap in average hourly wages | Gender wage gap, unadjusted for worker characteristics. Estimates correspond to the difference between average earnings of men and women, expressed as a percentage of average earnings of men. | The data corresponds to gross hourly earnings and includes both full-time and part-time workers. | Unadjusted gender gap in average hourly wages () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": true, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 7, "logo": "owid", "entityType": "country or region", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "DiscreteBar", "hasMapTab": true, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "countries", "missingDataStrategy": "auto", "id": 1882, "note": "The data corresponds to gross hourly earnings and includes both full-time and part-time workers.", "slug": "gender-gap-in-average-wages-ilo", "title": "Unadjusted gender gap in average hourly wages", "subtitle": "Gender wage gap, unadjusted for worker characteristics. Estimates correspond to the difference between average earnings of men and women, expressed as a percentage of average earnings of men.", "originUrl": "https://ourworldindata.org/biology-pay-gap", "dimensions": [ { "display": { "tolerance": 5, "includeInTable": true }, "property": "y", "variableId": 65628 } ], "sourceDesc": "ILOSTAT", "selectedEntityNames": [ "Malaysia", "Switzerland", "Uruguay", "Haiti", "France", "Costa Rica", "Vietnam", "South Korea", "Pakistan", "Norway" ] } |
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CREATE TABLE "charts" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "slug" VARCHAR(255) NULL , "type" VARCHAR(255) NULL , "config" TEXT NOT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "lastEditedAt" DATETIME NOT NULL , "publishedAt" DATETIME NULL , "lastEditedByUserId" INTEGER NOT NULL , "publishedByUserId" INTEGER NULL , "isIndexable" TINYINT NOT NULL DEFAULT '0', title TEXT GENERATED ALWAYS as (JSON_EXTRACT(config, '$.title')) VIRTUAL, subtitle TEXT GENERATED ALWAYS as (JSON_EXTRACT(config, '$.subtitle')) VIRTUAL, note TEXT GENERATED ALWAYS as (JSON_EXTRACT(config, '$.note')) VIRTUAL, title_plus_variant GENERATED ALWAYS as (printf("%s (%s)", title, json_extract(config, "$.variantName"))) VIRTUAL, configWithDefaults json, FOREIGN KEY("lastEditedByUserId") REFERENCES "users" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT, FOREIGN KEY("publishedByUserId") REFERENCES "users" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE INDEX "charts_lastEditedByUserId" ON "charts" ("lastEditedByUserId"); CREATE INDEX "charts_publishedByUserId" ON "charts" ("publishedByUserId"); CREATE INDEX "charts_slug" ON "charts" ("slug"); CREATE INDEX idx_title_plus_variant ON charts(title_plus_variant);