{"id": 1039782, "name": "Share (between 90th and 99th percentiles, 2017 prices) - Income or consumption consolidated", "unit": "%", "createdAt": "2025-05-29T20:23:07.000Z", "updatedAt": "2025-05-29T20:23:07.000Z", "coverage": "", "timespan": "1963-2023", "datasetId": 7107, "shortUnit": "%", "columnOrder": 0, "shortName": "top90_99_share__ppp_version_2017__poverty_line_no_poverty_line__welfare_type_income_or_consumption__table_income_or_consumption_consolidated__survey_comparability_no_spells", "catalogPath": "grapher/wb/2025-04-14/world_bank_pip/world_bank_pip#top90_99_share__ppp_version_2017__poverty_line_no_poverty_line__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": 1981}, {"id": 1985}, {"id": 1989}, {"id": 1983}, {"id": 1990}, {"id": 1982}, {"id": 1984}, {"id": 1971}, {"id": 1973}, {"id": 1975}, {"id": 1977}, {"id": 1979}, {"id": 2023}, {"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": 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": 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": 368992, "name": "India (rural)", "code": null}, {"id": 368982, "name": "India (urban)", "code": null}, {"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 population between the 90th and 99th percentiles.", "descriptionProcessing": "The income share of the population between the 90th and 99th percentiles is not directly available in the World Bank PIP API. We calculate the metric by subtracting the share of the population in the 99th percentile (available in the percentile files [provided by the World Bank](https://datacatalog.worldbank.org/search/dataset/0063646/_poverty_and_inequality_platform_pip_percentiles)) from the share of the population in the 90th percentile (available in the API).\nFor most countries in the PIP dataset, estimates relate to _either_ disposable income or consumption, for all available years. A number of 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 in order to present single series for each country. This allows us to make readable visualizations that combine multiple countries and metrics. In choosing which data points to drop, we try to strike a balance between maintaining comparability over time and showing as long a time series as possible. As such, the exact approach varies somewhat across countries.\n\nIf you would like to see the original data with _all_ available income and consumption data points shown separately, you can do so in our [Poverty Data Explorer](https://ourworldindata.org/explorers/poverty-explorer?Indicator=Share+in+poverty&Poverty+line=%2410+per+day&Household+survey+data+type=Show+data+from+both+income+and+consumption+surveys&Show+breaks+between+less+comparable+surveys=true&country=ROU~CHN~BLR~PER).", "type": "float", "datasetName": "World Bank Poverty and Inequality Platform (PIP)", "updatePeriodDays": 180, "datasetVersion": "2025-04-14", "nonRedistributable": false, "display": {"name": "Share (top 90-99%)", "unit": "%", "shortUnit": "%", "tolerance": 5, "numDecimalPlaces": 1, "entityAnnotationsMap": "Other high income countries (PIP): e.g. US, Western Europe, Australia, Japan, South Korea and Saudi Arabia"}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"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": ["Depending on the country and year, the data relates to income measured after taxes and benefits, or to consumption, per capita. _Per capita_ means that the income of each household is attributed equally to each member of the household (including children).", "Non-market sources of income, including food grown by subsistence farmers for their own consumption, are taken into account."], "origins": [{"id": 3617, "title": "World Bank Poverty and Inequality Platform (PIP)", "description": "The Poverty and Inequality Platform (PIP) is an interactive computational tool that offers users quick access to the World Bank\u2019s estimates of poverty, inequality, and shared prosperity. PIP provides a comprehensive view of global, regional, and country-level trends for 170 economies around the world.", "producer": "World Bank Poverty and Inequality Platform", "citationFull": "World Bank (2025). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "versionProducer": "20240627_2017, 20240627_2011", "urlMain": "https://pip.worldbank.org", "dateAccessed": "2024-10-07", "datePublished": "2024-09-20", "license": {"url": "https://datacatalog.worldbank.org/search/dataset/0063646", "name": "CC0"}}, {"id": 3618, "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 (PIP). There are, as of September 19, 2024, a total of 2,456 country-survey-year data points, which include 2,274 distributions based on microdata, binned data, or imputed/synthetic data, and 182 based on grouped data. For the grouped data, the percentiles are derived by fitting a parametric Lorenz distribution following Datt (1998). 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 (2025). Poverty and Inequality Platform: percentiles [Data set]. World Bank Group. https://pip.worldbank.org/.\n- World Bank (2025). Poverty and Inequality Platform (version 20240627_2017 and 20240627_2011) [Data set]. World Bank Group. https://pip.worldbank.org/.", "versionProducer": "Version 12", "urlMain": "https://datacatalog.worldbank.org/search/dataset/0063646/_poverty_and_inequality_platform_pip_percentiles", "dateAccessed": "2024-10-07", "datePublished": "2024-10-02", "license": {"url": "https://datacatalog.worldbank.org/search/dataset/0063646/_poverty_and_inequality_platform_pip_percentiles", "name": "CC0"}}]}