{"id": 1009779, "name": "8th decile - Threshold (Disposable household income, equivalized)", "unit": "international-$ in 2017 prices", "createdAt": "2025-02-05T14:47:48.000Z", "updatedAt": "2025-04-22T21:24:37.000Z", "coverage": "", "timespan": "1963-2022", "datasetId": 6934, "shortUnit": "$", "columnOrder": 0, "shortName": "thr_p80_dhi_eq", "catalogPath": "grapher/lis/2025-01-24/luxembourg_income_study/luxembourg_income_study#thr_p80_dhi_eq", "descriptionShort": "The level of income per year below which 80% of the population falls.", "descriptionProcessing": "We create the Luxembourg Income Study data from standardized household survey microdata available in their [LISSY platform](https://www.lisdatacenter.org/data-access/lissy/). The estimations follow the methodology available in LIS, Key Figures and DART platform.\n\nWe obtain after tax income by using the disposable household income variable (`dhi`).\n\nWe estimate before tax income by calculating the sum of income from labor and capital (variable `hifactor`), cash transfers and in-kind goods and services from privates (`hiprivate`) and private pensions (`hi33`). We do this only for surveys where tax and contributions are fully captured, collected or imputed.\n\nWe obtain after tax income (cash) by using the disposable household cash income variable (`dhci`).\n\nWe convert income data from local currency into international-$ by dividing by the [LIS PPP factor](https://www.lisdatacenter.org/resources/ppp-deflators/), available as an additional database in the LISSY platform.\n\nWe top and bottom-code incomes by replacing negative values with zeros and setting boundaries for extreme values of log income: at the top Q3 plus 3 times the interquartile range (Q3-Q1), and at the bottom Q1 minus 3 times the interquartile range.\n\nWe equivalize incomes by dividing each household observation by the square root of the number of household members (nhhmem). Per capita estimates are calculated by dividing incomes by the number of household members.\n\n\nIncome shares and thresholds by decile are obtained by using [Stata\u2019s sumdist function](https://ideas.repec.org/c/boc/bocode/s366005.html). We set weights as the product between the number of household members (nhhmem) and the normalized household weight (hwgt) and the number of quantile groups as 10. We estimate threshold ratios, share ratios and averages by decile in Python after processing in the LISSY platform.", "type": "float", "dataChecksum": "9064666784430083028", "metadataChecksum": "-5123106106341819472", "datasetName": "Luxembourg Income Study (LIS)", "updatePeriodDays": 90, "datasetVersion": "2025-01-24", "nonRedistributable": false, "display": {"name": "8th decile - Threshold (Disposable household income, equivalized)", "unit": "international-$ in 2017 prices", "shortUnit": "$", "tolerance": 5, "numDecimalPlaces": 0}, "schemaVersion": 2, "processingLevel": "major", "presentation": {"attributionShort": "Luxembourg Income Study", "topicTagsLinks": ["Poverty", "Economic Inequality"]}, "descriptionKey": ["The data is measured in international-$ at 2017 prices \u2013 this adjusts for inflation and for differences in living costs between countries.", "Income is \"post-tax\" \u2014 measured after taxes have been paid and most government benefits have been received.", "Income has been equivalized \u2013 adjusted to account for the fact that people in the same household can share costs like rent and heating."], "dimensions": {"years": {"values": [{"id": 1981}, {"id": 1985}, {"id": 1989}, {"id": 1995}, {"id": 2001}, {"id": 2003}, {"id": 2004}, {"id": 2008}, {"id": 2010}, {"id": 2014}, {"id": 2016}, {"id": 2018}, {"id": 1994}, {"id": 1996}, {"id": 1997}, {"id": 1998}, {"id": 1999}, {"id": 2000}, {"id": 2005}, {"id": 2006}, {"id": 2007}, {"id": 2009}, {"id": 2011}, {"id": 2012}, {"id": 2013}, {"id": 2015}, {"id": 2017}, {"id": 2019}, {"id": 2020}, {"id": 2021}, {"id": 1988}, {"id": 1992}, {"id": 1990}, {"id": 1993}, {"id": 2002}, {"id": 2022}, {"id": 1971}, {"id": 1973}, {"id": 1975}, {"id": 1977}, {"id": 1979}, {"id": 1982}, {"id": 1984}, {"id": 1986}, {"id": 1987}, {"id": 1991}, {"id": 1970}, {"id": 1978}, {"id": 1983}, {"id": 1980}, {"id": 1968}, {"id": 1969}, {"id": 1972}, {"id": 1974}, {"id": 1976}, {"id": 1963}, {"id": 1964}, {"id": 1965}, {"id": 1966}, {"id": 1967}]}, "entities": {"values": [{"id": 23, "name": "Australia", "code": "AUS"}, {"id": 24, "name": "Austria", "code": "AUT"}, {"id": 4, "name": "Belgium", "code": "BEL"}, {"id": 37, "name": "Brazil", "code": "BRA"}, {"id": 44, "name": "Canada", "code": "CAN"}, {"id": 172, "name": "Chile", "code": "CHL"}, {"id": 171, "name": "China", "code": "CHN"}, {"id": 170, "name": "Colombia", "code": "COL"}, {"id": 143, "name": "Cote d'Ivoire", "code": "CIV"}, {"id": 162, "name": "Czechia", "code": "CZE"}, {"id": 161, "name": "Denmark", "code": "DNK"}, {"id": 160, "name": "Dominican Republic", "code": "DOM"}, {"id": 156, "name": "Estonia", "code": "EST"}, {"id": 155, "name": "Finland", "code": "FIN"}, {"id": 3, "name": "France", "code": "FRA"}, {"id": 152, "name": "Georgia", "code": "GEO"}, {"id": 6, "name": "Germany", "code": "DEU"}, {"id": 149, "name": "Greece", "code": "GRC"}, {"id": 148, "name": "Guatemala", "code": "GTM"}, {"id": 138, "name": "Hungary", "code": "HUN"}, {"id": 207, "name": "Iceland", "code": "ISL"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 2, "name": "Ireland", "code": "IRL"}, {"id": 133, "name": "Israel", "code": "ISR"}, {"id": 8, "name": "Italy", "code": "ITA"}, {"id": 14, "name": "Japan", "code": "JPN"}, {"id": 119, "name": "Lithuania", "code": "LTU"}, {"id": 210, "name": "Luxembourg", "code": "LUX"}, {"id": 115, "name": "Mali", "code": "MLI"}, {"id": 113, "name": "Mexico", "code": "MEX"}, {"id": 5, "name": "Netherlands", "code": "NLD"}, {"id": 102, "name": "Norway", "code": "NOR"}, {"id": 140, "name": "Palestine", "code": "PSE"}, {"id": 100, "name": "Panama", "code": "PAN"}, {"id": 98, "name": "Paraguay", "code": "PRY"}, {"id": 97, "name": "Peru", "code": "PER"}, {"id": 11, "name": "Poland", "code": "POL"}, {"id": 92, "name": "Romania", "code": "ROU"}, {"id": 12, "name": "Russia", "code": "RUS"}, {"id": 88, "name": "Serbia", "code": "SRB"}, {"id": 85, "name": "Slovakia", "code": "SVK"}, {"id": 83, "name": "Slovenia", "code": "SVN"}, {"id": 81, "name": "South Africa", "code": "ZAF"}, {"id": 127, "name": "South Korea", "code": "KOR"}, {"id": 9, "name": "Spain", "code": "ESP"}, {"id": 10, "name": "Sweden", "code": "SWE"}, {"id": 7, "name": "Switzerland", "code": "CHE"}, {"id": 1, "name": "United Kingdom", "code": "GBR"}, {"id": 13, "name": "United States", "code": "USA"}, {"id": 63, "name": "Uruguay", "code": "URY"}, {"id": 84, "name": "Vietnam", "code": "VNM"}]}}, "origins": [{"id": 2668, "titleSnapshot": "Luxembourg Income Study (LIS) - Distributional indicators", "title": "Luxembourg Income Study (LIS)", "description": "The Luxembourg Income Study Database (LIS) is the largest available income database of harmonized microdata collected from over 50 countries in Europe, North America, Latin America, Africa, Asia, and Australasia spanning five decades.\n\nHarmonized into a common framework, LIS datasets contain household- and person-level data on labor income, capital income, pensions, public social benefits (excl. pensions) and private transfers, as well as taxes and contributions, demography, employment, and expenditures.", "producer": "Luxembourg Income Study", "citationFull": "Luxembourg Income Study (LIS) Database, http://www.lisdatacenter.org (multiple countries; December 2024). Luxembourg: LIS.", "attributionShort": "LIS", "urlMain": "https://www.lisdatacenter.org/our-data/lis-database/", "dateAccessed": "2025-01-24", "datePublished": "2024-12-12", "license": {"url": "https://www.lisdatacenter.org/about-lis/terms-of-use/", "name": "LIS Privacy Policy"}}]}