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""slug"": ""life-expectancy-prados-de-la-escosura"", ""title"": ""Life expectancy"", ""yAxis"": {""min"": 20}, ""$schema"": ""https://files.ourworldindata.org/schemas/grapher-schema.004.json"", ""version"": 19, ""subtitle"": ""Average number of years a newborn would live if age-specific mortality rates in the current year were to stay the same throughout its life."", ""hasMapTab"": true, ""originUrl"": ""ourworldindata.org/human-development-index"", ""dimensions"": [{""property"": ""y"", ""variableId"": 814480}], ""isPublished"": true, ""variantName"": ""Prados de la Escosura"", ""hideRelativeToggle"": false, ""selectedEntityNames"": [""East Asia (AHDI)"", ""South Asia (AHDI)"", ""Middle East (AHDI)"", ""North Africa (AHDI)"", ""Latin America (AHDI)"", ""Eastern Europe (AHDI)"", ""Western Europe (AHDI)"", ""Western offshoots (AHDI)"", ""Sub Saharan Africa (AHDI)""]}",2023-09-29 15:12:19,2024-04-08 12:13:54,2023-10-03 09:15:02,2023-10-02 16:41:54,62,62,1,Life expectancy,Average number of years a newborn would live if age-specific mortality rates in the current year were to stay the same throughout its life.,,Life expectancy (Prados de la Escosura),"{""$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"": 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This data is adjusted for inflation and differences in the cost of living between countries."", ""originUrl"": ""https://ourworldindata.org/economic-inequality"", ""dimensions"": [{""display"": {""name"": """", ""unit"": ""international-$ at 2017 prices"", ""includeInTable"": true}, ""property"": ""y"", ""variableId"": 899150}, {""property"": ""color"", ""variableId"": 123}], ""variantName"": ""World Bank, Marimekko"", ""hideRelativeToggle"": false}" 6917,income-share-top-1-before-tax-wid-extrapolations,LineChart,"{""id"": 6917, ""map"": {""time"": ""latest"", ""colorScale"": {""baseColorScheme"": ""OrRd"", ""binningStrategy"": ""manual"", ""customNumericValues"": [5, 10, 15, 20, 25, 30]}, ""columnSlug"": ""541254""}, ""note"": ""Income is measured before payment of taxes and non-pension benefits, but after the payment of public and private pensions."", ""slug"": ""income-share-top-1-before-tax-wid-extrapolations"", ""title"": ""Income share of the richest 1% (before tax)"", ""yAxis"": {""min"": 0}, ""$schema"": ""https://files.ourworldindata.org/schemas/grapher-schema.004.json"", ""version"": 51, ""subtitle"": ""The share of income received by the richest 1% of the population. Income here is measured before taxes and benefits. The dotted lines represent extrapolations due to limited data availability."", ""hasMapTab"": true, ""originUrl"": ""https://ourworldindata.org/economic-inequality"", ""dimensions"": [{""display"": {""tolerance"": 5, ""includeInTable"": true}, ""property"": ""y"", ""variableId"": 904388}, {""display"": {""isProjection"": true, ""includeInTable"": true}, ""property"": ""y"", ""variableId"": 904600}], ""isPublished"": true, ""variantName"": ""WID, with extrapolations"", ""selectedEntityNames"": [""Chile"", ""Brazil"", ""South Africa"", ""United States"", ""China"", ""France""]}",2023-07-03 17:18:17,2024-07-28 10:48:40,2024-07-28 10:48:40,2023-07-03 17:19:08,62,62,1,Income share of the richest 1% (before tax),The share of income received by the richest 1% of the population. Income here is measured before taxes and benefits. 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This data is adjusted for inflation and differences in the cost of living between countries.,"This data is expressed in [international-$](#dod:int_dollar_abbreviation) at 2017 prices. 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""Brazil"", ""India"", ""Germany"", ""Russia"", ""France"", ""Mexico""]}" 6904,income-share-distribution-after-tax-lis,StackedDiscreteBar,"{""id"": 6904, ""note"": ""Income has been [equivalized](#dod:equivalization)."", ""slug"": ""income-share-distribution-after-tax-lis"", ""type"": ""StackedDiscreteBar"", ""title"": ""Distribution of income across richer and poorer groups (after tax)"", ""sortBy"": ""column"", ""$schema"": ""https://files.ourworldindata.org/schemas/grapher-schema.004.json"", ""minTime"": ""latest"", ""version"": 22, ""subtitle"": ""The share of income received by different income groups. 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