{"id": 1216601, "name": "Share (top 1%)", "unit": "%", "createdAt": "2026-04-13T08:40:32.000Z", "updatedAt": "2026-05-01T09:54:04.000Z", "coverage": "", "timespan": "1963-2025", "datasetId": 7795, "shortUnit": "%", "columnOrder": 0, "shortName": "top1_share__welfare_type_income_or_consumption__table_income_or_consumption_consolidated__survey_comparability_no_spells", "catalogPath": "grapher/wb/2026-03-24/world_bank_pip/inequality#top1_share__welfare_type_income_or_consumption__table_income_or_consumption_consolidated__survey_comparability_no_spells", "dimensions": {"years": {"values": [{"id": 1996}, {"id": 2002}, {"id": 2005}, {"id": 2008}, {"id": 2012}, {"id": 2014}, {"id": 2015}, {"id": 2016}, {"id": 2017}, {"id": 2018}, {"id": 2019}, {"id": 2020}, {"id": 1988}, {"id": 1995}, {"id": 2011}, {"id": 2000}, {"id": 1980}, {"id": 1986}, {"id": 1987}, {"id": 1991}, {"id": 1992}, {"id": 1993}, {"id": 1994}, {"id": 1997}, {"id": 1998}, {"id": 1999}, {"id": 2001}, {"id": 2003}, {"id": 2004}, {"id": 2006}, {"id": 2007}, {"id": 2009}, {"id": 2010}, {"id": 2013}, {"id": 2021}, {"id": 2022}, {"id": 2023}, {"id": 2024}, {"id": 1981}, {"id": 1985}, {"id": 1989}, {"id": 1983}, {"id": 1990}, {"id": 1982}, {"id": 1984}, {"id": 1971}, {"id": 1973}, {"id": 1975}, {"id": 1977}, {"id": 1979}, {"id": 2025}, {"id": 1970}, {"id": 1978}, {"id": 1968}, {"id": 1969}, {"id": 1972}, {"id": 1974}, {"id": 1976}, {"id": 1963}, {"id": 1964}, {"id": 1965}, {"id": 1966}, {"id": 1967}]}, "entities": {"values": [{"id": 16, "name": "Albania", "code": "ALB"}, {"id": 17, "name": "Algeria", "code": "DZA"}, {"id": 19, "name": "Angola", "code": "AGO"}, {"id": 368977, "name": "Argentina (urban)", "code": null}, {"id": 22, "name": "Armenia", "code": "ARM"}, {"id": 23, "name": "Australia", "code": "AUS"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 25, "name": "Azerbaijan", "code": "AZE"}, {"id": 28, "name": "Bangladesh", "code": "BGD"}, {"id": 29, "name": "Barbados", "code": "BRB"}, {"id": 30, "name": "Belarus", "code": "BLR"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 31, "name": "Belize", "code": "BLZ"}, {"id": 32, "name": "Benin", "code": "BEN"}, {"id": 33, "name": "Bhutan", "code": "BTN"}, {"id": 34, "name": "Bolivia", "code": "BOL"}, {"id": 368975, "name": "Bolivia (urban)", "code": null}, {"id": 35, "name": "Bosnia and Herzegovina", "code": "BIH"}, {"id": 36, "name": "Botswana", "code": "BWA"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 39, "name": "Bulgaria", "code": "BGR"}, {"id": 40, "name": "Burkina Faso", "code": "BFA"}, {"id": 41, "name": "Burundi", "code": "BDI"}, {"id": 43, "name": "Cameroon", "code": "CMR"}, {"id": 44, "name": "Canada", "code": "CAN"}, {"id": 45, "name": "Cape Verde", "code": "CPV"}, {"id": 174, "name": "Central African Republic", "code": "CAF"}, {"id": 173, "name": "Chad", "code": "TCD"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 367458, "name": "China (rural)", "code": null}, {"id": 367459, "name": "China (urban)", "code": null}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 368995, "name": "Colombia (urban)", "code": null}, {"id": 169, "name": "Comoros", "code": "COM"}, {"id": 168, "name": "Congo", "code": "COG"}, {"id": 166, "name": "Costa Rica", "code": "CRI"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 165, "name": "Croatia", "code": "HRV"}, {"id": 163, "name": "Cyprus", "code": "CYP"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 167, "name": "Democratic Republic of Congo", "code": "COD"}, {"id": 161, "name": "Denmark", "code": "DNK"}, {"id": 154, "name": "Djibouti", "code": "DJI"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 225, "name": "East Timor", "code": "TLS"}, {"id": 201, "name": "Ecuador", "code": "ECU"}, {"id": 368985, "name": "Ecuador (urban)", "code": null}, {"id": 65, "name": "Egypt", "code": "EGY"}, {"id": 259, "name": "El Salvador", "code": "SLV"}, {"id": 159, "name": "Equatorial Guinea", "code": "GNQ"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 78, "name": "Eswatini", "code": "SWZ"}, {"id": 158, "name": "Ethiopia", "code": "ETH"}, {"id": 368976, "name": "Ethiopia (rural)", "code": null}, {"id": 202, "name": "Fiji", "code": "FJI"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 153, "name": "Gabon", "code": "GAB"}, {"id": 151, "name": "Gambia", "code": "GMB"}, {"id": 152, "name": "Georgia", "code": "GEO"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 206, "name": "Grenada", "code": "GRD"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 147, "name": "Guinea", "code": "GIN"}, {"id": 94, "name": "Guinea-Bissau", "code": "GNB"}, {"id": 146, "name": "Guyana", "code": "GUY"}, {"id": 145, "name": "Haiti", "code": "HTI"}, {"id": 139, "name": "Honduras", "code": "HND"}, {"id": 368988, "name": "Honduras (urban)", "code": null}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 207, "name": "Iceland", "code": "ISL"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 136, "name": "Indonesia", "code": "IDN"}, {"id": 135, "name": "Iran", "code": "IRN"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 133, "name": "Israel", "code": "ISR"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 132, "name": "Jamaica", "code": "JAM"}, {"id": 14, "name": "Japan", "code": "JPN"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 131, "name": "Kazakhstan", "code": "KAZ"}, {"id": 129, "name": "Kenya", "code": "KEN"}, {"id": 204, "name": "Kiribati", "code": "KIR"}, {"id": 379, "name": "Kosovo", "code": "OWID_KOS"}, {"id": 126, "name": "Kyrgyzstan", "code": "KGZ"}, {"id": 125, "name": "Laos", "code": "LAO"}, {"id": 122, "name": "Latvia", "code": "LVA"}, {"id": 124, "name": "Lebanon", "code": "LBN"}, {"id": 123, "name": "Lesotho", "code": "LSO"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"id": 118, "name": "Madagascar", "code": "MDG"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 116, "name": "Malaysia", "code": "MYS"}, {"id": 211, "name": "Maldives", "code": "MDV"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 212, "name": "Malta", "code": "MLT"}, {"id": 223, "name": "Marshall Islands", "code": "MHL"}, {"id": 114, "name": "Mauritania", "code": "MRT"}, {"id": 213, "name": "Mauritius", "code": "MUS"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 222, "name": "Micronesia (country)", "code": "FSM"}, {"id": 368979, "name": "Micronesia (country) (urban)", "code": null}, {"id": 111, "name": "Moldova", "code": "MDA"}, {"id": 112, "name": "Mongolia", "code": "MNG"}, {"id": 215, "name": "Montenegro", "code": "MNE"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"id": 109, "name": "Mozambique", "code": "MOZ"}, {"id": 142, "name": "Myanmar", "code": "MMR"}, {"id": 108, "name": "Namibia", "code": "NAM"}, {"id": 218, "name": "Nauru", "code": "NRU"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 105, "name": "Nicaragua", "code": "NIC"}, {"id": 104, "name": "Niger", "code": "NER"}, {"id": 103, "name": "Nigeria", "code": "NGA"}, {"id": 66, "name": "North Macedonia", "code": "MKD"}, {"id": 102, "name": "Norway", "code": "NOR"}, {"id": 101, "name": "Pakistan", "code": "PAK"}, {"id": 140, "name": "Palestine", "code": "PSE"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 99, "name": "Papua New Guinea", "code": "PNG"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 96, "name": "Philippines", "code": "PHL"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 95, "name": "Portugal", "code": "PRT"}, {"id": 226, "name": "Qatar", "code": "QAT"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 91, "name": "Rwanda", "code": "RWA"}, {"id": 368981, "name": "Rwanda (rural)", "code": null}, {"id": 229, "name": "Saint Lucia", "code": "LCA"}, {"id": 239, "name": "Samoa", "code": "WSM"}, {"id": 232, "name": "Sao Tome and Principe", "code": "STP"}, {"id": 89, "name": "Senegal", "code": "SEN"}, {"id": 88, "name": "Serbia", "code": "SRB"}, {"id": 233, "name": "Seychelles", "code": "SYC"}, {"id": 87, "name": "Sierra Leone", "code": "SLE"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 83, "name": "Slovenia", "code": "SVN"}, {"id": 195, "name": "Solomon Islands", "code": "SLB"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 258, "name": "South Sudan", "code": "SSD"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 141, "name": "Sri Lanka", "code": "LKA"}, {"id": 79, "name": "Sudan", "code": "SDN"}, {"id": 234, "name": "Suriname", "code": "SUR"}, {"id": 368980, "name": "Suriname (urban)", "code": null}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 77, "name": "Syria", "code": "SYR"}, {"id": 198, "name": "Taiwan", "code": "TWN"}, {"id": 76, "name": "Tajikistan", "code": "TJK"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 75, "name": "Thailand", "code": "THA"}, {"id": 74, "name": "Togo", "code": "TGO"}, {"id": 235, "name": "Tonga", "code": "TON"}, {"id": 73, "name": "Trinidad and Tobago", "code": "TTO"}, {"id": 71, "name": "Tunisia", "code": "TUN"}, {"id": 70, "name": "Turkey", "code": "TUR"}, {"id": 69, "name": "Turkmenistan", "code": "TKM"}, {"id": 237, "name": "Tuvalu", "code": "TUV"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 67, "name": "Ukraine", "code": "UKR"}, {"id": 72, "name": "United Arab Emirates", "code": "ARE"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 368983, "name": "Uruguay (urban)", "code": null}, {"id": 62, "name": "Uzbekistan", "code": "UZB"}, {"id": 221, "name": "Vanuatu", "code": "VUT"}, {"id": 238, "name": "Venezuela", "code": "VEN"}, {"id": 84, "name": "Vietnam", "code": "VNM"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}, {"id": 80, "name": "Zimbabwe", "code": "ZWE"}]}}, "descriptionShort": "The share of income or consumption received by the richest 1% of the population.", "descriptionProcessing": "For most countries in the dataset, estimates relate to disposable income or consumption, for all available years. Several countries, however, have a mix of income and consumption data points, with both data types sometimes available for particular years.\n\nIn most of our charts, we present the data with some data points dropped to present a single series for each country. This allows us to make readable visualizations that combine multiple countries. In choosing which data points to keep, we strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies across countries.", "type": "float", "dataChecksum": "8916088686520519017", "metadataChecksum": "-3744171412876478470", "datasetName": "World Bank Poverty and Inequality Platform (PIP)", "updatePeriodDays": 180, "datasetVersion": "2026-03-24", "nonRedistributable": false, "display": {"name": "Share (top 1%)", "unit": "%", "shortUnit": "%", "tolerance": 5, "numDecimalPlaces": 1}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"titlePublic": "", "attributionShort": "World Bank", "topicTagsLinks": ["Poverty", "Economic Inequality", "Economic Growth"], "faqs": [{"gdocId": "1gGburArxglFdHXeTLotFW4TOOLoeRq5XW6UfAdKtaAw", "fragmentId": "poverty-international-dollars"}, {"gdocId": "1gGburArxglFdHXeTLotFW4TOOLoeRq5XW6UfAdKtaAw", "fragmentId": "poverty-comparability"}, {"gdocId": "1gGburArxglFdHXeTLotFW4TOOLoeRq5XW6UfAdKtaAw", "fragmentId": "poverty-regional-estimates"}]}, "descriptionKey": ["Incomes are distributed very unequally, both between countries and within them. This data lets you compare how income is distributed across the population and how those levels have changed over time. We discuss this in more detail on our page on [Economic Inequality](https://ourworldindata.org/economic-inequality).", "This data shows the share of total income or consumption that goes to specific groups of the population. For example, if the poorest decile receives 3% of total income, it means the poorest 10% of people share just 3% of all income between them.", "Depending on the country and year, the data refers either to income (after taxes and benefits) or to consumption, [per capita](#dod:per-capita). These are not perfectly comparable \u2014 consumption tends to be more evenly distributed than income. For most countries, we have only one option available. But when there is a mix of consumption and income data points, we process the data to keep one observation per country and year.", "Many people, today and in the past, have no formal monetary income. This data accounts for that by including the estimated value of non-market income, such as food grown by subsistence farmers for their own use.", "The data comes from the World Bank's Poverty and Inequality Platform (PIP), which draws on national household surveys. Regional and global estimates are extrapolated to the year of the data release using GDP growth estimates and forecasts. For more details about the methodology, please refer to the [World Bank PIP documentation](https://datanalytics.worldbank.org/PIP-Methodology/lineupestimates.html#nowcasts)."], "origins": [{"id": 14322, "title": "World Bank Poverty and Inequality Platform (PIP): Percentiles", "description": "The _Poverty and Inequality Platform: Percentiles_ database reports 100 points ranked according to the consumption or income distributions for country-year survey data available in the World Bank\u2019s [Poverty and Inequality Platform](https://pip.worldbank.org/home) (PIP). As of March 24, 2025, a total of 2,584 country-year data points, which include 2,403 distributions based on microdata, [binned data](https://datanalytics.worldbank.org/PIP-Methodology/acquiring.html#selection), or imputed/synthetic data, and 181 based on [grouped data](https://datanalytics.worldbank.org/PIP-Methodology/acquiring.html#grouped). For the grouped data, the percentiles are derived by fitting a parametric Lorenz distribution following [Datt (1998)](https://ageconsearch.umn.edu/record/94862/). For ease of communication, all distributions are referred to as survey data henceforth, and the welfare variable is referred to as income.\n\nWe modified the original files available in [World Bank's Databank](https://datacatalog.worldbank.org/search/dataset/0063646/_poverty_and_inequality_platform_pip_percentiles) to include distributions from regions with data available in PIP's API.", "producer": "World Bank Poverty and Inequality Platform", "citationFull": "- World Bank (2026). Poverty and Inequality Platform: percentiles [Data set]. World Bank Group. https://pip.worldbank.org/.\n- World Bank (2026). Poverty and Inequality Platform (version 20260324_2021 and 20260324_2017) [Data set]. World Bank Group. https://pip.worldbank.org/.", "versionProducer": "Version 16", "urlMain": "https://datacatalog.worldbank.org/search/dataset/0063646/_poverty_and_inequality_platform_pip_percentiles", "dateAccessed": "2026-03-24", "datePublished": "2026-03-24", "license": {"url": "https://datacatalog.worldbank.org/search/dataset/0063646/_poverty_and_inequality_platform_pip_percentiles", "name": "CC0"}}]}