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Que contient ce jeu de données ?
Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.
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| indicator | country | country_code | year | value | unit |
|---|---|---|---|---|---|
| Gini index | Africa Eastern and Southern | AFE | 2025 | ||
| Gini index | Africa Eastern and Southern | AFE | 2024 | ||
| Gini index | Africa Eastern and Southern | AFE | 2023 | ||
| Gini index | Africa Eastern and Southern | AFE | 2022 | ||
| Gini index | Africa Eastern and Southern | AFE | 2021 | ||
| Gini index | Africa Eastern and Southern | AFE | 2020 | ||
| Gini index | Africa Eastern and Southern | AFE | 2019 | ||
| Gini index | Africa Eastern and Southern | AFE | 2018 | ||
| Gini index | Africa Eastern and Southern | AFE | 2017 | ||
| Gini index | Africa Eastern and Southern | AFE | 2016 | ||
| Gini index | Africa Eastern and Southern | AFE | 2015 | ||
| Gini index | Africa Eastern and Southern | AFE | 2014 | ||
| Gini index | Africa Eastern and Southern | AFE | 2013 | ||
| Gini index | Africa Eastern and Southern | AFE | 2012 | ||
| Gini index | Africa Eastern and Southern | AFE | 2011 | ||
| Gini index | Africa Eastern and Southern | AFE | 2010 | ||
| Gini index | Africa Eastern and Southern | AFE | 2009 | ||
| Gini index | Africa Eastern and Southern | AFE | 2008 | ||
| Gini index | Africa Eastern and Southern | AFE | 2007 | ||
| Gini index | Africa Eastern and Southern | AFE | 2006 | ||
| Gini index | Africa Eastern and Southern | AFE | 2005 | ||
| Gini index | Africa Eastern and Southern | AFE | 2004 | ||
| Gini index | Africa Eastern and Southern | AFE | 2003 | ||
| Gini index | Africa Eastern and Southern | AFE | 2002 | ||
| Gini index | Africa Eastern and Southern | AFE | 2001 | ||
| Gini index | Africa Eastern and Southern | AFE | 2000 | ||
| Gini index | Africa Eastern and Southern | AFE | 1999 | ||
| Gini index | Africa Eastern and Southern | AFE | 1998 | ||
| Gini index | Africa Eastern and Southern | AFE | 1997 | ||
| Gini index | Africa Eastern and Southern | AFE | 1996 | ||
| Gini index | Africa Eastern and Southern | AFE | 1995 | ||
| Gini index | Africa Eastern and Southern | AFE | 1994 | ||
| Gini index | Africa Eastern and Southern | AFE | 1993 | ||
| Gini index | Africa Eastern and Southern | AFE | 1992 | ||
| Gini index | Africa Eastern and Southern | AFE | 1991 | ||
| Gini index | Africa Eastern and Southern | AFE | 1990 | ||
| Gini index | Africa Eastern and Southern | AFE | 1989 | ||
| Gini index | Africa Eastern and Southern | AFE | 1988 | ||
| Gini index | Africa Eastern and Southern | AFE | 1987 | ||
| Gini index | Africa Eastern and Southern | AFE | 1986 | ||
| Gini index | Africa Eastern and Southern | AFE | 1985 | ||
| Gini index | Africa Eastern and Southern | AFE | 1984 | ||
| Gini index | Africa Eastern and Southern | AFE | 1983 | ||
| Gini index | Africa Eastern and Southern | AFE | 1982 | ||
| Gini index | Africa Eastern and Southern | AFE | 1981 | ||
| Gini index | Africa Eastern and Southern | AFE | 1980 | ||
| Gini index | Africa Eastern and Southern | AFE | 1979 | ||
| Gini index | Africa Eastern and Southern | AFE | 1978 | ||
| Gini index | Africa Eastern and Southern | AFE | 1977 | ||
| Gini index | Africa Eastern and Southern | AFE | 1976 |
World Bank Indicators API (JSON) · 2 oct. 2026 · 50 lignes
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Limites et précautions
Country, year and measurement availability differ by indicator. Missing values are not zero. World Bank republishes contributions from the data providers named above. Time coverage is not inferred from the first API page.
Attribution
World Bank · Gini index. Original data providers: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. For more information and methodology, please see http://pip.worldbank.org., World Bank (WB), uri: http://pip.worldbank.org, note: Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database.
CC BY 4.0 · World Bank termsProvenance et fiches sources
World Bank · World Development IndicatorsSI.POV.GINI
Dernière importation DataSeek2 oct. 2026État des sourcesContinuer à explorer
Partage un ou plusieurs thèmes avec ce jeu de données.
State of the EnvironmentGratuit
2016 SoE Built environment Projected population of Australian capital cities, 2012-2061
This information has been provided by the Australian Bureau of Statistics. For further information see www.abs.gov.au. Projected population growth of Australian capital cities (medium growth scenario), 2012-2061. From: Population projections, Australia, 2012 (base) to 2101, cat.no. 3222.0. Data ued to produce Figure BLT2 in Built environment, SoE 2016. See https://soe.environment.gov.au/theme/built-environment/topic/2016/increased-urban-footprint#built-environment-figure-BLT2
StatbelGratuit
Aantal geboorten per dag [Periode: 1992-2025]
Beschrijving: Aantal geboorten per dag Periode: 1992-2025 Metadata: Structuur en Beweging van de residentiële bevolking, Variabelen Meer informatie, data en publicaties over dit onderwerp op Statbel
StatbelGratuit
Aantal personen per geboortedag [Periode: 2024-2025]
Beschrijving: Aantal personen per geboortedag Periode: Bevolking op 01.01.2024 en 01.01.2025 Metadata: Variabelen Meer informatie, data en publicaties over dit onderwerp op Statbel Opmerking: Het hoge aantal verjaardagen op 1 januari en 1 juli is te wijten aan de administratieve toewijzing van een fictieve geboortedatum aan personen waarvan de geboortedatum onbekend is.