70 datasets found
  1. J

    Japan JP: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Japan JP: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/japan/poverty/jp-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008
    Area covered
    Japan
    Description

    Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 32.100 % in 2008. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 32.100 % from Dec 2008 (Median) to 2008, with 1 observations. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Poverty. 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.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

  2. Gini index in Japan 2014-2029

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Gini index in Japan 2014-2029 [Dataset]. https://www.statista.com/forecasts/1165122/gini-index-forecast-in-japan
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    The gini index in Japan was forecast to continuously decrease between 2024 and 2029 by in total **** points. The gini is estimated to amount to *** points in 2029. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

  3. Gini Index

    • resourcewatch.org
    Updated Apr 24, 2018
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    World Bank Group (2018). Gini Index [Dataset]. https://resourcewatch.org/data/explore/GINI-Index
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    Dataset updated
    Apr 24, 2018
    Dataset authored and provided by
    World Bank Grouphttp://www.worldbank.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Global
    Description

    The Gini index measures economic inequality in a country. Specifically, it is the extent to which the distribution of income (or, in some cases, consumption expenditure) deviates from a perfectly equal distribution among individuals or households within an economy.

  4. Gini index worldwide 2024, by country

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Gini index worldwide 2024, by country [Dataset]. https://www.statista.com/forecasts/1171540/gini-index-by-country
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2024 - Dec 31, 2024
    Area covered
    Albania
    Description

    Comparing the *** selected regions regarding the gini index , South Africa is leading the ranking (**** points) and is followed by Namibia with **** points. At the other end of the spectrum is Slovakia with **** points, indicating a difference of *** points to South Africa. The Gini coefficient here measures the degree of income inequality on a scale from * (=total equality of incomes) to *** (=total inequality).The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

  5. M

    Japan Income Inequality - GINI Coefficient | Historical Data | Chart |...

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Japan Income Inequality - GINI Coefficient | Historical Data | Chart | N/A-N/A [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/jpn/japan/income-inequality-gini-coefficient
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    Historical dataset showing Japan income inequality - gini coefficient by year from N/A to N/A.

  6. Gini Index - countries with the biggest inequality in income distribution...

    • statista.com
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    Statista, Gini Index - countries with the biggest inequality in income distribution 2024 [Dataset]. https://www.statista.com/statistics/264627/ranking-of-the-20-countries-with-the-biggest-inequality-in-income-distribution/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    South Africa had the highest inequality in income distribution in 2024, with a Gini score of **. Its South African neighbor, Namibia, followed in second. The Gini coefficient measures the deviation of income (or consumption) distribution among individuals or households within a country from a perfectly equal distribution. A value of 0 represents absolute equality, and a value of 100 represents absolute inequality. All the 20 most unequal countries in the world were either located in Africa or Latin America & The Caribbean.

  7. G

    Gini inequality index in Latin America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 8, 2021
    + more versions
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    Globalen LLC (2021). Gini inequality index in Latin America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/Latin-Am/
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    excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 8, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    Latin America, World
    Description

    The average for 2021 based on 12 countries was 44.83 index points. The highest value was in Colombia: 55.1 index points and the lowest value was in Dominican Republic: 38.5 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  8. GINI index

    • data.wu.ac.at
    csv, json, xls
    Updated Mar 2, 2016
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    The World Bank (2016). GINI index [Dataset]. https://data.wu.ac.at/schema/data_opendatasoft_com/Z2luaS1pbmRleEBrYXBzYXJj
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    json, csv, xlsAvailable download formats
    Dataset updated
    Mar 2, 2016
    Dataset provided by
    World Bank Grouphttp://www.worldbank.org/
    License

    http://data.worldbank.org/summary-terms-of-usehttp://data.worldbank.org/summary-terms-of-use

    Description

    [Source: World Bank] Gini index measures the extent to which the distribution of income or consumption expenditure among individuals or households within an economy deviates from a perfectly equal distribution.

  9. G

    Gini inequality index in Sub Sahara Africa | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 7, 2021
    + more versions
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    Globalen LLC (2021). Gini inequality index in Sub Sahara Africa | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/Sub-Sahara-Africa/
    Explore at:
    xml, excel, csvAvailable download formats
    Dataset updated
    Feb 7, 2021
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    Africa, Sub-Saharan Africa, World
    Description

    The average for 2021 based on 11 countries was 37.01 index points. The highest value was in the Central African Republic: 43 index points and the lowest value was in Niger: 32.9 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  10. G

    Gini inequality index in North America | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 8, 2019
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    Globalen LLC (2019). Gini inequality index in North America | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/North-America/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Dec 8, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    North America, World
    Description

    The average for 2021 based on 6 countries was 42.83 index points. The highest value was in Panama: 50.9 index points and the lowest value was in Dominican Republic: 38.5 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  11. Gini index in OECD countries based on disposable income 2022, by country

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). Gini index in OECD countries based on disposable income 2022, by country [Dataset]. https://www.statista.com/statistics/1461858/gini-index-oecd-countries/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide, OECD
    Description

    Of the countries included, South Africa had the highest income inequality, with a Gini coefficient of 0.62. It was also the country with the highest inequality level worldwide. Of the OECD members, Costa Rica had the highest income inequality, whereas Slovakia had the lowest.

  12. 日本 JP:基尼系数(GINI系数):世界银行估计

    • ceicdata.com
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    CEICdata.com, 日本 JP:基尼系数(GINI系数):世界银行估计 [Dataset]. https://www.ceicdata.com/zh-hans/japan/poverty/jp-gini-coefficient-gini-index-world-bank-estimate
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2008
    Area covered
    日本
    Description

    。JP:基尼系数(GINI系数):世界银行估计数据按年更新,12-01-2008至12-01-2008期间平均值为32.100%,共1份观测结果。CEIC提供的JP:基尼系数(GINI系数):世界银行估计数据处于定期更新的状态,数据来源于World Bank,数据归类于全球数据库的日本 – 表 JP.世行.WDI:贫困。

  13. G

    Gini inequality index in Europe | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 8, 2019
    + more versions
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    Globalen LLC (2019). Gini inequality index in Europe | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/gini_inequality_index/Europe/
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    xml, excel, csvAvailable download formats
    Dataset updated
    Dec 8, 2019
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1963 - Dec 31, 2023
    Area covered
    World
    Description

    The average for 2021 based on 31 countries was 31.37 index points. The highest value was in Turkey: 44.4 index points and the lowest value was in Slovakia: 24.1 index points. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  14. m

    Gini_Index - Luxembourg

    • macro-rankings.com
    csv, excel
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    macro-rankings, Gini_Index - Luxembourg [Dataset]. https://www.macro-rankings.com/selected-country-rankings/gini-index/luxembourg
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    excel, csvAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Luxembourg
    Description

    Time series data for the statistic Gini_Index and country Luxembourg. Indicator Definition: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.The statistic "Gini Index" stands at 33.60 percent as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.5 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.5.The 3 year change in percentage points is 0.2.The 5 year change in percentage points is -1.80.The 10 year change in percentage points is 1.60.The Serie's long term average value is 30.77 percent. It's latest available value, on 12/31/2023, is 2.83 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1985, to it's latest available value, on 12/31/2023, is +7.30.The Serie's change in percentage points from it's maximum value, on 12/31/2018, to it's latest available value, on 12/31/2023, is -1.80.

  15. m

    Gini_Index - Sweden

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2023
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    macro-rankings (2023). Gini_Index - Sweden [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Gini-Index/Sweden
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    csv, excelAvailable download formats
    Dataset updated
    Dec 31, 2023
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Sweden
    Description

    Time series data for the statistic Gini_Index and country Sweden. Indicator Definition: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.The statistic "Gini Index" stands at 29.30 percent as of 12/31/2023. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -2.30 percentage points compared to the value the year prior.The 1 year change in percentage points is -2.30.The 3 year change in percentage points is 0.4.The 5 year change in percentage points is -0.7.The 10 year change in percentage points is 0.5.The Serie's long term average value is 27.37 percent. It's latest available value, on 12/31/2023, is 1.93 percentage points higher, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/1981, to it's latest available value, on 12/31/2023, is +6.40.The Serie's change in percentage points from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2023, is -2.30.

  16. The Impact of Japan's 2004 Postgraduate Training Program on...

    • plos.figshare.com
    docx
    Updated Jun 1, 2023
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    Rie Sakai; Wei Wang; Norihiro Yamaguchi; Hiroshi Tamura; Rei Goto; Ichiro Kawachi (2023). The Impact of Japan's 2004 Postgraduate Training Program on Intra-Prefectural Distribution of Pediatricians in Japan [Dataset]. http://doi.org/10.1371/journal.pone.0077045
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rie Sakai; Wei Wang; Norihiro Yamaguchi; Hiroshi Tamura; Rei Goto; Ichiro Kawachi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Prefectures of Japan, Japan
    Description

    ObjectiveInequity in physician distribution poses a challenge to many health systems. In Japan, a new postgraduate training program for all new medical graduates was introduced in 2004, and researchers have argued that this program has increased inequalities in physician distribution. We examined the trends in the geographic distribution of pediatricians as well as all physicians from 1996 to 2010 to identify the impact of the launch of the new training program.MethodsThe Gini coefficient was calculated using municipalities as the study unit within each prefecture to assess whether there were significant changes in the intra-prefectural distribution of all physicians and pediatricians before and after the launch of the new training program. The effect of the new program was quantified by estimating the difference in the slope in the time trend of the Gini coefficients before and after 2004 using a linear change-point regression design. We categorized 47 prefectures in Japan into two groups: 1) predominantly urban and 2) others by the definition from OECD to conduct stratified analyses by urban-rural status.ResultsThe trends in physician distribution worsened after 2004 for all physicians (p value

  17. Geographic Distribution of CT, MRI and PET Devices in Japan: A Longitudinal...

    • plos.figshare.com
    tiff
    Updated May 31, 2023
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    Masatoshi Matsumoto; Soichi Koike; Saori Kashima; Kazuo Awai (2023). Geographic Distribution of CT, MRI and PET Devices in Japan: A Longitudinal Analysis Based on National Census Data [Dataset]. http://doi.org/10.1371/journal.pone.0126036
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Masatoshi Matsumoto; Soichi Koike; Saori Kashima; Kazuo Awai
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    BackgroundJapan has the most CT and MRI scanners per unit population in the world; however, the geographic distribution of these technologies is currently unknown. Moreover, nothing is known of the cause-effect relationship between the number of diagnostic imaging devices and their geographic distribution.MethodsData on the number of CT, MRI and PET devices and that of their utilizations in all 1829 municipalities of Japan was generated, based on the Static Survey of Medical Institutions conducted by the government. The inter-municipality equity of the number of devices or utilizations was evaluated with Gini coefficient.ResultsBetween 2005 and 2011, the number of CT, MRI and PET devices in Japan increased by 47% (8789 to 12945), 19% (5034 to 5990) and 70% (274 to 466), respectively. Gini coefficient of the number of devices was largest for PET and smallest for CT (p for PET-MRI difference

  18. Gini index in G20 countries 2023

    • statista.com
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    Statista, Gini index in G20 countries 2023 [Dataset]. https://www.statista.com/statistics/1412911/gini-index-g20/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Out of the G20 countries, South Africa, Brazil, and Turkey have the highest levels of income inequality, while France, Canada, and Germany have the lowest levels of inequality. Other G20 countries in the middle have Gini coefficients between 32.5 and 44.0. The Gini coefficient measures the level of income inequality worldwide, where a higher score indicates a higher level of income inequality.

  19. m

    Gini_Index - Spain

    • macro-rankings.com
    csv, excel
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    macro-rankings, Gini_Index - Spain [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Gini-Index/Spain
    Explore at:
    excel, csvAvailable download formats
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Spain
    Description

    Time series data for the statistic Gini_Index and country Spain. Indicator Definition: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.The statistic "Gini Index" stands at 33.40 percent as of 12/31/2023, the lowest value since 12/31/2006. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -0.2 percentage points compared to the value the year prior.The 1 year change in percentage points is -0.2.The 3 year change in percentage points is -1.50.The 5 year change in percentage points is -1.30.The 10 year change in percentage points is -2.80.The Serie's long term average value is 34.56 percent. It's latest available value, on 12/31/2023, is 1.16 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2003, to it's latest available value, on 12/31/2023, is +1.60.The Serie's change in percentage points from it's maximum value, on 12/31/1996, to it's latest available value, on 12/31/2023, is -3.10.

  20. m

    Gini_Index - Greece

    • macro-rankings.com
    csv, excel
    Updated Dec 31, 2022
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    macro-rankings (2022). Gini_Index - Greece [Dataset]. https://www.macro-rankings.com/Selected-Country-Rankings/Gini-Index/Greece
    Explore at:
    csv, excelAvailable download formats
    Dataset updated
    Dec 31, 2022
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Greece
    Description

    Time series data for the statistic Gini_Index and country Greece. Indicator Definition: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.The statistic "Gini Index" stands at 33.40 percent as of 12/31/2022. Regarding the One-Year-Change of the series, the current value constitutes an increase of 0.5 percentage points compared to the value the year prior.The 1 year change in percentage points is 0.5.The 3 year change in percentage points is 0.3.The 5 year change in percentage points is -1.00.The 10 year change in percentage points is -2.90.The Serie's long term average value is 34.40 percent. It's latest available value, on 12/31/2022, is 1.00 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2003, to it's latest available value, on 12/31/2022, is +0.6.The Serie's change in percentage points from it's maximum value, on 12/31/1995, to it's latest available value, on 12/31/2022, is -3.60.

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Cite
CEICdata.com (2018). Japan JP: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/japan/poverty/jp-gini-coefficient-gini-index-world-bank-estimate

Japan JP: Gini Coefficient (GINI Index): World Bank Estimate

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Dataset updated
Mar 15, 2018
Dataset provided by
CEICdata.com
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 1, 2008
Area covered
Japan
Description

Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 32.100 % in 2008. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 32.100 % from Dec 2008 (Median) to 2008, with 1 observations. Japan JP: Gini Coefficient (GINI Index): World Bank Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.World Bank.WDI: Poverty. 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.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

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