posts_gdocs: 1Is4QMFi_YsOlx75FhbXOfIPGdac4ehI1OcOxo8kXXaY
Data license: CC-BY
This data as json
| id | slug | type | content | published | createdAt | publishedAt | updatedAt | publicationContext | revisionId | breadcrumbs | markdown | title |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1Is4QMFi_YsOlx75FhbXOfIPGdac4ehI1OcOxo8kXXaY | data-pages-texts-income-share-of-the-top-1-world-inequality-database | fragment | {
"toc": [
{
"slug": "undefined-what-does-income-mean",
"text": "What does \u2018income\u2019 mean?",
"title": "What does \u2018income\u2019 mean?",
"isSubheading": true
},
{
"slug": "undefined-how-is-income-before-tax-measured",
"text": "How is income before tax measured?",
"title": "How is income before tax measured?",
"isSubheading": true
}
],
"body": [
{
"text": [
{
"text": "keyInfoText",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "list",
"items": [
{
"type": "text",
"value": [
{
"text": "This is the income of the richest 1% as a share of total income.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Income here is measured before the payment and receipt of taxes and benefits. It is also measured after payment of public and private pensions.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "The World Inequality Database calculates incomes at the top by merging income surveys with tax records and rescaling the distribution to national account aggregates.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
}
],
"parseErrors": []
},
{
"text": [
{
"text": "descriptionFromSource",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "RELATED STUFF",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "relatedResearch",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line",
"children": [
{
"text": "https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/extreme-poverty-in-brief",
"children": [
{
"text": "https://ourworldindata.org/extreme-poverty-in-brief",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/poverty-growth-needed",
"children": [
{
"text": "https://ourworldindata.org/poverty-growth-needed",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "relatedData",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/explorers/co2",
"children": [
{
"text": "CO2 Data Explorer",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": " \u2013 Compare a range of metrics tracking emissions of CO2 and other Greenhouse Gas.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/grapher/consumption-co2-per-capita",
"children": [
{
"text": "Consumption-based CO2 emissions per capita",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": " \u2013 Global Carbon Project \u2013 How do per capita CO2 emissions compare when we adjust for trade?",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/grapher/annual-share-of-co2-emissions",
"children": [
{
"text": "Annual share of global CO2 emissions",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": " \u2013 Global Carbon Project \u2013 What share of global CO2 emissions do different countries contribute?",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/grapher/co2-land-use-per-capita?country=USA~GBR~European+Union+%2827%29~CHN~IND~AUS~BRA~MEX~IDN",
"children": [
{
"text": "Annual CO2 emissions from land-use change per capita",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": " \u2013 Global Carbon Project",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/grapher/annual-co-emissions-by-region",
"children": [
{
"text": "Annual CO2 emissions by world region",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": " \u2013 Global Carbon Project",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"url": "https://ourworldindata.org/grapher/annual-co2-cement",
"children": [
{
"text": "Annual CO2 emissions from cement ",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": "\u2013 Global Carbon Project",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "relatedCharts",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [
{
"children": [],
"spanType": "span-italic"
}
],
"spanType": "span-bold"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [
{
"children": [],
"spanType": "span-italic"
}
],
"spanType": "span-bold"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [
{
"children": [],
"spanType": "span-italic"
}
],
"spanType": "span-bold"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [
{
"children": [],
"spanType": "span-italic"
}
],
"spanType": "span-bold"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [],
"parseErrors": []
},
{
"text": [
{
"text": "FAQs",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "faqs",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "What does \u2018income\u2019 mean?",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 3,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "There is no single definition of income. Our understanding of the extent of income and how it is changing depends on which definition we have in mind.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "list",
"items": [
{
"type": "text",
"value": [
{
"text": "Income can be defined as before or after tax.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Income can be defined using different units of observation (household, individuals).",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Income can be defined using different age groups (entire population, adults, working population).",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Equivalence scales can be used to address for economies of scale in the household.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "In the case of this data, income is before tax, the unit of observation and age groups is equal-split adults, which means that income is distributed to all adult individuals (over 20 years old), while splitting income equally within a couple or a household. No equivalence scales are used in WID estimations.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "How is income before tax measured?",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 3,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Even the before and after-tax definitions of income can vary between sources. Although a \u201cbefore tax\u201d definition is commonly defined as being before any redistribution via taxes and benefits, the World Inequality Database defines income before tax as before the payment and receipt of taxes and benefits, but also after payment of public and private pensions, so there is a component of this income that includes redistribution, via social insurance schemes.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "DATASET STUFF",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "datasetName",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Global Carbon Budget Dataset \u2013 Processed and adapted by Our World in Data",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "datasetDescription",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "This is a global dataset of inequality measures prepared by Our World in Data from the World Inequality Database (WID.world).",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "The World Inequality Database (WID) is an extensive database on the distribution of income and wealth, both between and within countries.These estimates of the distribution of income and wealth are consistent with the macroeconomic aggregates produced by national statistical institutes.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "To prepare this dataset:",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "list",
"items": [
{
"type": "text",
"value": [
{
"children": [
{
"text": "We ingest the original data.",
"spanType": "span-simple-text"
}
],
"spanType": "span-bold"
},
{
"text": " We extract and process the data from WID\u2019s ",
"spanType": "span-simple-text"
},
{
"url": "https://github.com/thomasblanchet/wid-stata-tool",
"children": [
{
"text": "Stata tool",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": ".",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [
{
"text": "We standardize names of countries and regions. ",
"spanType": "span-simple-text"
}
],
"spanType": "span-bold"
},
{
"text": "Since the names of countries and regions are different in different data sources, we harmonize all names to the ",
"spanType": "span-simple-text"
},
{
"children": [
{
"url": "https://ourworldindata.org/world-region-map-definitions",
"children": [
{
"text": "Our World in Data",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
}
],
"spanType": "span-italic"
},
{
"text": " ",
"spanType": "span-simple-text"
},
{
"url": "https://ourworldindata.org/world-region-map-definitions",
"children": [
{
"text": "standard entity names",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
},
{
"text": ".",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [
{
"text": "Monetary values were converted to international-$ in 2021 prices.",
"spanType": "span-simple-text"
}
],
"spanType": "span-bold"
},
{
"text": " To account for inflation and differences in the cost of living between countries, we transform the data using WID\u2019s ",
"spanType": "span-simple-text"
},
{
"children": [
{
"text": "xlcusp",
"spanType": "span-simple-text"
}
],
"spanType": "span-fallback"
},
{
"text": " dataset in Stata.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [
{
"text": "We calculate additional metrics.",
"spanType": "span-simple-text"
}
],
"spanType": "span-bold"
},
{
"text": " We make transformations of the data to derive some additional metrics that are not available directly from the original World Inequality Database, as percentile and share ratios, derived from income thresholds and shares, respectively.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
}
],
"parseErrors": []
},
{
"text": [
{
"text": "datasetVariableProcessingInfo",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "datasetFeaturedVariables",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "datasetSeeAllVariablesLink",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "datasetCodeURL",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "datasetDownloadOptions",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "datasetCitation",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "datasetLicenseLink",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "SOURCE STUFF",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceName1",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Global Carbon Budget (Global Carbon Project)",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "sourceDescription1",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "The World Inequality Database (WID) is an extensive database on the distribution of income and wealth, both between and within countries. It is primarily maintained by the World Inequality Lab (WIL), located at the Paris School of Economics (PSE). But it is fundamentally the result of a coordinated, collaborative effort involving hundreds of researchers throughout the world over the past twenty years.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "More details are available at the WID website: ",
"spanType": "span-simple-text"
},
{
"url": "https://wid.world/",
"children": [
{
"text": "https://wid.world/",
"spanType": "span-simple-text"
}
],
"spanType": "span-link"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "sourceRetrievedOn1",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [],
"spanType": "span-italic"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [],
"parseErrors": []
},
{
"text": [
{
"text": "sourceRetrievedFrom1",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceCodeUrl1",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "SOURCE 2",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "LEAVE THE FIELDS IN THIS SECTION BLANK IF ONLY ONE SOURCE.",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "ELSE REPEAT USING THE PATTERN ABOVE",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "sourceName2",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "Our World in Data reference population dataset",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "sourceDescription2",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceRetrievedOn2",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceRetrievedFrom2",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceCodeUrl2",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "SOURCE 3",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "LEAVE THE FIELDS IN THIS SECTION BLANK IF < 3 SOURCES",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [
{
"text": "ELSE REPEAT USING THE PATTERN ABOVE",
"spanType": "span-simple-text"
}
],
"parseErrors": []
},
{
"text": [
{
"text": "sourceName3",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"type": "text",
"value": [
{
"children": [],
"spanType": "span-italic"
}
],
"parseErrors": []
},
{
"type": "text",
"value": [],
"parseErrors": []
},
{
"text": [
{
"text": "sourceDescription3",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceRetrievedOn3",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceRetrievedFrom3",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "sourceCodeUrl3",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "REPORT AN ISSUE",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
},
{
"text": [
{
"text": "anomaliesListText",
"spanType": "span-simple-text"
}
],
"type": "heading",
"level": 1,
"parseErrors": []
}
],
"refs": [],
"type": "fragment",
"title": "Data pages texts \u2013 Income share of the top 1% | World Inequality Database",
"byline": "Joe Hasell, Matthieu Bergel",
"authors": [
"Joe Hasell",
"Matthieu Bergel"
],
"excerpt": "n/a"
} |
1 | 2023-04-25 14:09:04 | 2023-06-16 14:48:58 | 2023-12-28 16:31:08 | unlisted | ANeT5PTC5F2Qn82quXN_OU081I9PbvljUcbJJLZktBFCULKN4bBd3O5ktcTtnkUskBuuP-lsGbcijyFziIPEuw | # keyInfoText * This is the income of the richest 1% as a share of total income. * Income here is measured before the payment and receipt of taxes and benefits. It is also measured after payment of public and private pensions. * The World Inequality Database calculates incomes at the top by merging income surveys with tax records and rescaling the distribution to national account aggregates. # descriptionFromSource # RELATED STUFF # relatedResearch [https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line](https://ourworldindata.org/from-1-90-to-2-15-a-day-the-updated-international-poverty-line) [https://ourworldindata.org/extreme-poverty-in-brief](https://ourworldindata.org/extreme-poverty-in-brief) [https://ourworldindata.org/poverty-growth-needed](https://ourworldindata.org/poverty-growth-needed) # relatedData [CO2 Data Explorer](https://ourworldindata.org/explorers/co2) – Compare a range of metrics tracking emissions of CO2 and other Greenhouse Gas. [Consumption-based CO2 emissions per capita](https://ourworldindata.org/grapher/consumption-co2-per-capita) – Global Carbon Project – How do per capita CO2 emissions compare when we adjust for trade? [Annual share of global CO2 emissions](https://ourworldindata.org/grapher/annual-share-of-co2-emissions) – Global Carbon Project – What share of global CO2 emissions do different countries contribute? [Annual CO2 emissions from land-use change per capita](https://ourworldindata.org/grapher/co2-land-use-per-capita?country=USA~GBR~European+Union+%2827%29~CHN~IND~AUS~BRA~MEX~IDN) – Global Carbon Project [Annual CO2 emissions by world region](https://ourworldindata.org/grapher/annual-co-emissions-by-region) – Global Carbon Project [Annual CO2 emissions from cement ](https://ourworldindata.org/grapher/annual-co2-cement)– Global Carbon Project # relatedCharts **__** **__** **__** **__** # FAQs # faqs ### What does ‘income’ mean? There is no single definition of income. Our understanding of the extent of income and how it is changing depends on which definition we have in mind. * Income can be defined as before or after tax. * Income can be defined using different units of observation (household, individuals). * Income can be defined using different age groups (entire population, adults, working population). * Equivalence scales can be used to address for economies of scale in the household. In the case of this data, income is before tax, the unit of observation and age groups is equal-split adults, which means that income is distributed to all adult individuals (over 20 years old), while splitting income equally within a couple or a household. No equivalence scales are used in WID estimations. ### How is income before tax measured? Even the before and after-tax definitions of income can vary between sources. Although a “before tax” definition is commonly defined as being before any redistribution via taxes and benefits, the World Inequality Database defines income before tax as before the payment and receipt of taxes and benefits, but also after payment of public and private pensions, so there is a component of this income that includes redistribution, via social insurance schemes. # DATASET STUFF # datasetName Global Carbon Budget Dataset – Processed and adapted by Our World in Data # datasetDescription This is a global dataset of inequality measures prepared by Our World in Data from the World Inequality Database (WID.world). The World Inequality Database (WID) is an extensive database on the distribution of income and wealth, both between and within countries.These estimates of the distribution of income and wealth are consistent with the macroeconomic aggregates produced by national statistical institutes. To prepare this dataset: * **We ingest the original data.** We extract and process the data from WID’s [Stata tool](https://github.com/thomasblanchet/wid-stata-tool). * **We standardize names of countries and regions. **Since the names of countries and regions are different in different data sources, we harmonize all names to the _[Our World in Data](https://ourworldindata.org/world-region-map-definitions)_ [standard entity names](https://ourworldindata.org/world-region-map-definitions). * **Monetary values were converted to international-$ in 2021 prices.** To account for inflation and differences in the cost of living between countries, we transform the data using WID’s xlcusp dataset in Stata. * **We calculate additional metrics.** We make transformations of the data to derive some additional metrics that are not available directly from the original World Inequality Database, as percentile and share ratios, derived from income thresholds and shares, respectively. # datasetVariableProcessingInfo # datasetFeaturedVariables # datasetSeeAllVariablesLink # datasetCodeURL # datasetDownloadOptions # datasetCitation # datasetLicenseLink # SOURCE STUFF # sourceName1 Global Carbon Budget (Global Carbon Project) # sourceDescription1 The World Inequality Database (WID) is an extensive database on the distribution of income and wealth, both between and within countries. It is primarily maintained by the World Inequality Lab (WIL), located at the Paris School of Economics (PSE). But it is fundamentally the result of a coordinated, collaborative effort involving hundreds of researchers throughout the world over the past twenty years. More details are available at the WID website: [https://wid.world/](https://wid.world/) # sourceRetrievedOn1 __ # sourceRetrievedFrom1 # sourceCodeUrl1 # SOURCE 2 LEAVE THE FIELDS IN THIS SECTION BLANK IF ONLY ONE SOURCE. ELSE REPEAT USING THE PATTERN ABOVE # sourceName2 Our World in Data reference population dataset # sourceDescription2 # sourceRetrievedOn2 # sourceRetrievedFrom2 # sourceCodeUrl2 # SOURCE 3 LEAVE THE FIELDS IN THIS SECTION BLANK IF < 3 SOURCES ELSE REPEAT USING THE PATTERN ABOVE # sourceName3 __ # sourceDescription3 # sourceRetrievedOn3 # sourceRetrievedFrom3 # sourceCodeUrl3 # REPORT AN ISSUE # anomaliesListText | Data pages texts – Income share of the top 1% | World Inequality Database |