100+ datasets found
  1. S

    Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/sweden/poverty/se-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    Jan 15, 2025
    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, 2004 - Dec 1, 2015
    Area covered
    Sweden
    Description

    Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 29.200 % in 2015. This records an increase from the previous number of 28.400 % for 2014. Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 27.600 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 29.200 % in 2015 and a record low of 25.300 % in 2003. Sweden SE: 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 Sweden – Table SE.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. A

    Austria AT: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
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    CEICdata.com, Austria AT: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/austria/social-poverty-and-inequality/at-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, 2010 - Dec 1, 2021
    Area covered
    Austria
    Description

    Austria AT: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 30.700 % in 2021. This records an increase from the previous number of 29.800 % for 2020. Austria AT: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 30.350 % from Dec 1994 (Median) to 2021, with 26 observations. The data reached an all-time high of 31.500 % in 2009 and a record low of 28.700 % in 2005. Austria AT: 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 Austria – Table AT.World Bank.WDI: Social: Poverty and Inequality. 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, 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.;;The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than 2000 household surveys across 169 countries. See the Poverty and Inequality Platform (PIP) for details (www.pip.worldbank.org).

  3. 3

    Worldwide Gini Index Trend from 1960 to 2024, by countries

    • 360analytika.com
    xlsx
    Updated Jun 4, 2025
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    360 Analytika (2025). Worldwide Gini Index Trend from 1960 to 2024, by countries [Dataset]. https://360analytika.com/worldwide-gini-index-trend-by-countries/
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    xlsxAvailable download formats
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    360 Analytika
    License

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

    Description

    The Gini index quantifies the degree of inequality in the distribution of income (or sometimes consumption) among individuals or households within an economy. It compares the actual income distribution to a perfectly equal one. This is visualized through the Lorenz curve, which charts the cumulative share of total income against the cumulative share of recipients, starting from the poorest. The Gini index is derived from the area between the Lorenz curve and the line representing absolute equality, measured as a percentage of the total area beneath that line. A Gini index of 0 indicates perfect equality, while 100 signifies complete inequality.

  4. T

    Tunisia TN: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Tunisia TN: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/tunisia/poverty/tn-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    Dec 15, 2024
    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, 1985 - Dec 1, 2010
    Area covered
    Tunisia
    Description

    Tunisia TN: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 35.800 % in 2010. This records a decrease from the previous number of 37.700 % for 2005. Tunisia TN: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 40.500 % from Dec 1985 (Median) to 2010, with 6 observations. The data reached an all-time high of 43.400 % in 1985 and a record low of 35.800 % in 2010. Tunisia TN: 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 Tunisia – Table TN.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.

  5. Gini index: inequality of income distribution in China 2005-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Gini index: inequality of income distribution in China 2005-2023 [Dataset]. https://www.statista.com/statistics/250400/inequality-of-income-distribution-in-china-based-on-the-gini-index/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    China
    Description

    This statistic shows the inequality of income distribution in China from 2005 to 2023 based on the Gini Index. In 2023, China reached a score of ************ points. The Gini Index is a statistical measure that is used to represent unequal distributions, e.g. income distribution. It can take any value between 1 and 100 points (or 0 and 1). The closer the value is to 100 the greater is the inequality. 40 or 0.4 is the warning level set by the United Nations. The Gini Index for South Korea had ranged at about **** in 2022. Income distribution in China The Gini coefficient is used to measure the income inequality of a country. The United States, the World Bank, the US Central Intelligence Agency, and the Organization for Economic Co-operation and Development all provide their own measurement of the Gini coefficient, varying in data collection and survey methods. According to the United Nations Development Programme, countries with the largest income inequality based on the Gini index are mainly located in Africa and Latin America, with South Africa displaying the world's highest value in 2022. The world's most equal countries, on the contrary, are situated mostly in Europe. The United States' Gini for household income has increased by around ten percent since 1990, to **** in 2023. Development of inequality in China Growing inequality counts as one of the biggest social, economic, and political challenges to many countries, especially emerging markets. Over the last 20 years, China has become one of the world's largest economies. As parts of the society have become more and more affluent, the country's Gini coefficient has also grown sharply over the last decades. As shown by the graph at hand, China's Gini coefficient ranged at a level higher than the warning line for increasing risk of social unrest over the last decade. However, the situation has slightly improved since 2008, when the Gini coefficient had reached the highest value of recent times.

  6. N

    Norway NO: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
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    CEICdata.com, Norway NO: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/norway/poverty/no-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, 2004 - Dec 1, 2015
    Area covered
    Norway
    Description

    Norway NO: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 27.500 % in 2015. This records an increase from the previous number of 26.800 % for 2014. Norway NO: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 26.800 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 31.600 % in 2004 and a record low of 25.300 % in 2011. Norway NO: 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 Norway – Table NO.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.

  7. a

    Gini Index

    • boco-health-and-human-services-data-hub-bouldercounty.hub.arcgis.com
    Updated Feb 12, 2025
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    Boulder County (2025). Gini Index [Dataset]. https://boco-health-and-human-services-data-hub-bouldercounty.hub.arcgis.com/datasets/gini-index
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    Dataset updated
    Feb 12, 2025
    Dataset authored and provided by
    Boulder County
    Area covered
    Description

    Data comes from ACS 2019-2023 table B19083. The Gini index, also known as the Gini coefficient or Gini ratio, is a statistical measure of how income, wealth, or consumption is distributed within a group or country. It's calculated by comparing the Lorenz curve, which shows the cumulative distribution of income, to a line of perfect equality. The Gini index is expressed as a percentage that ranges from 0 to 100, with 0 representing perfect equality and 100 representing perfect inequality.

  8. E

    Ecuador EC: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
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    CEICdata.com, Ecuador EC: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/ecuador/poverty/ec-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, 2005 - Dec 1, 2016
    Area covered
    Ecuador
    Description

    Ecuador EC: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 45.000 % in 2016. This records a decrease from the previous number of 46.000 % for 2015. Ecuador EC: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 49.700 % from Dec 1987 (Median) to 2016, with 19 observations. The data reached an all-time high of 58.600 % in 1999 and a record low of 45.000 % in 2016. Ecuador EC: 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 Ecuador – Table EC.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.

  9. f

    The income data of the other 20 countries are used to demonstrate the...

    • figshare.com
    xls
    Updated Jun 23, 2023
    + more versions
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    Thitithep Sitthiyot; Kanyarat Holasut (2023). The income data of the other 20 countries are used to demonstrate the performance of single-parameter functional forms and that of a two-parameter functional form proposed by Sitthiyot and Holasut [2] on the criterion of estimated Gini index. [Dataset]. http://doi.org/10.1371/journal.pone.0287546.t014
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    xlsAvailable download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Thitithep Sitthiyot; Kanyarat Holasut
    License

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

    Description

    The income data of the other 20 countries are used to demonstrate the performance of single-parameter functional forms and that of a two-parameter functional form proposed by Sitthiyot and Holasut [2] on the criterion of estimated Gini index.

  10. U.S. household income Gini Index 1990-2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. household income Gini Index 1990-2023 [Dataset]. https://www.statista.com/statistics/219643/gini-coefficient-for-us-individuals-families-and-households/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, according to the Gini coefficient, household income distribution in the United States was 0.47. This figure was at 0.43 in 1990, which indicates an increase in income inequality in the U.S. over the past 30 years. What is the Gini coefficient? The Gini coefficient, or Gini index, is a statistical measure of economic inequality and wealth distribution among a population. A value of zero represents perfect economic equality, and a value of one represents perfect economic inequality. The Gini coefficient helps to visualize income inequality in a more digestible way. For example, according to the Gini coefficient, the District of Columbia and the state of New York have the greatest amount of income inequality in the U.S. with a score of 0.51, and Utah has the greatest income equality with a score of 0.43. The Gini coefficient around the world The Gini coefficient is also an effective measure to help picture income inequality around the world. For example, in 2018 income inequality was highest in South Africa, while income inequality was lowest in Slovenia.

  11. f

    The income data of 20 OECD countries are used to demonstrate the performance...

    • plos.figshare.com
    xls
    Updated Jun 23, 2023
    + more versions
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    Thitithep Sitthiyot; Kanyarat Holasut (2023). The income data of 20 OECD countries are used to demonstrate the performance of Paul and Shankar [3]’s functional form and those of the other popular functional forms based on MSE. [Dataset]. http://doi.org/10.1371/journal.pone.0287546.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Thitithep Sitthiyot; Kanyarat Holasut
    License

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

    Description

    The income data of 20 OECD countries are used to demonstrate the performance of Paul and Shankar [3]’s functional form and those of the other popular functional forms based on MSE.

  12. Gini index of Taiwan 1980-2023

    • statista.com
    Updated Sep 27, 2024
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    Statista (2024). Gini index of Taiwan 1980-2023 [Dataset]. https://www.statista.com/statistics/922574/taiwan-gini-index/
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    Dataset updated
    Sep 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Taiwan
    Description

    This statistic shows the Gini's concentration coefficient in Taiwan from 1980 to 2023. In 2023, the Gini index in Taiwan was 33.9 points, ranging at roughly the same level as in 2010. In the countries having relative equality in their distributions of income, the value of the Gini coefficient usually ranges between the scores of 20 and 35. In comparison, the Gini index in China ranged at around 46.7 points in 2022.

  13. G

    Greece GR: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
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    CEICdata.com, Greece GR: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/greece/poverty/gr-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, 2004 - Dec 1, 2015
    Area covered
    Greece
    Description

    Greece GR: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 36.000 % in 2015. This records an increase from the previous number of 35.800 % for 2014. Greece GR: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 34.600 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 36.200 % in 2012 and a record low of 32.800 % in 2003. Greece GR: 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 Greece – Table GR.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.

  14. Gini coefficient South Korea 2011-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Gini coefficient South Korea 2011-2023 [Dataset]. https://www.statista.com/statistics/642046/south-korea-gini-coefficient/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Korea
    Description

    In 2023, South Korea had a Gini coefficient of **** for after-tax income. The Gini coefficient of South Korea has decreased over the past decade. What is the Gini coefficient? The Gini coefficient is a number that ranges from zero to one, used to measure the degree of inequality in income distribution. A Gini coefficient of zero indicates minimum inequality, meaning everyone in the population receives the same adjusted household income. Conversely, a coefficient of one signifies maximum inequality, where one person receives all the adjusted household income while everyone else receives none. Countries typically have a Gini coefficient of income distribution between 0.3 (30 percent) and 0.75 (75 percent). Wealth distribution in South Korea South Korea's economically active population has been increasing over the past decade. Alongside this expansion, the net disposable income in the country has also been rising over the past 20 years. Despite these developments, significant disparities in wealth remain a pressing issue within South Korean society. For example, the wealthiest ** percent of the population had an average monthly income that was more than ** times higher than that of the poorest ** percent in 2023.

  15. P

    Poland PL: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). Poland PL: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/poland/poverty/pl-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    May 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, 2004 - Dec 1, 2015
    Area covered
    Poland
    Description

    Poland PL: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 31.800 % in 2015. This records a decrease from the previous number of 32.100 % for 2014. Poland PL: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 32.900 % from Dec 1993 (Median) to 2015, with 20 observations. The data reached an all-time high of 35.400 % in 2004 and a record low of 26.700 % in 1993. Poland PL: 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 Poland – Table PL.World Bank: 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.

  16. f

    The income data of Thailand are used to demonstrate the performance of Paul...

    • plos.figshare.com
    xls
    Updated Jun 23, 2023
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    Thitithep Sitthiyot; Kanyarat Holasut (2023). The income data of Thailand are used to demonstrate the performance of Paul and Shankar [3]’s functional form and those of the other popular functional forms all of which share the same value of the estimated Gini index which is equal to 0.4528. [Dataset]. http://doi.org/10.1371/journal.pone.0287546.t012
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    xlsAvailable download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Thitithep Sitthiyot; Kanyarat Holasut
    License

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

    Area covered
    Thailand
    Description

    The income data of Thailand are used to demonstrate the performance of Paul and Shankar [3]’s functional form and those of the other popular functional forms all of which share the same value of the estimated Gini index which is equal to 0.4528.

  17. Denmark DK: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Jan 1, 2022
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    CEICdata.com (2022). Denmark DK: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/denmark/poverty/dk-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    Jan 1, 2022
    Dataset provided by
    CEIC Data
    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, 2004 - Dec 1, 2015
    Area covered
    Denmark
    Description

    Denmark DK: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 28.200 % in 2015. This records a decrease from the previous number of 28.400 % for 2014. Denmark DK: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 26.700 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 28.500 % in 2013 and a record low of 24.900 % in 2004. Denmark DK: 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 Denmark – Table DK.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.

  18. f

    The income data of the other 20 countries are used to demonstrate the...

    • plos.figshare.com
    xls
    Updated Jun 23, 2023
    + more versions
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    Thitithep Sitthiyot; Kanyarat Holasut (2023). The income data of the other 20 countries are used to demonstrate the performance of Paul and Shankar [3]’s functional form and those of the other popular functional forms based on IIM. [Dataset]. http://doi.org/10.1371/journal.pone.0287546.t010
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Thitithep Sitthiyot; Kanyarat Holasut
    License

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

    Description

    The income data of the other 20 countries are used to demonstrate the performance of Paul and Shankar [3]’s functional form and those of the other popular functional forms based on IIM.

  19. Gini coefficient income distribution inequality in Brazil 2010-2023

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
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    Statista (2025). Gini coefficient income distribution inequality in Brazil 2010-2023 [Dataset]. https://www.statista.com/statistics/981226/income-distribution-gini-coefficient-brazil/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

    Between 2010 and 2023, Brazil's data on the degree of inequality in wealth distribution based on the Gini coefficient reached 52. That year, Brazil was deemed one of the most unequal country in Latin America. Prior to 2010, wealth distribution in Brazil had shown signs of improvement, with the Gini coefficient decreasing in the previous 3 reporting periods. The Gini coefficient measures the deviation of the distribution of income (or consumption) among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality.

  20. S

    Switzerland CH: Gini Coefficient (GINI Index): World Bank Estimate

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Switzerland CH: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/switzerland/poverty/ch-gini-coefficient-gini-index-world-bank-estimate
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    Dataset updated
    Dec 15, 2024
    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, 2006 - Dec 1, 2014
    Area covered
    Switzerland
    Description

    Switzerland Gini Coefficient (GINI Index): World Bank Estimate data was reported at 32.300 % in 2015. This records a decrease from the previous number of 32.500 % for 2014. Switzerland Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 32.550 % from Dec 2006 (Median) to 2015, with 10 observations. The data reached an all-time high of 34.300 % in 2007 and a record low of 31.600 % in 2012. Switzerland 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 Switzerland – Table CH.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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CEICdata.com (2025). Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate [Dataset]. https://www.ceicdata.com/en/sweden/poverty/se-gini-coefficient-gini-index-world-bank-estimate

Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate

Explore at:
Dataset updated
Jan 15, 2025
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, 2004 - Dec 1, 2015
Area covered
Sweden
Description

Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate data was reported at 29.200 % in 2015. This records an increase from the previous number of 28.400 % for 2014. Sweden SE: Gini Coefficient (GINI Index): World Bank Estimate data is updated yearly, averaging 27.600 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 29.200 % in 2015 and a record low of 25.300 % in 2003. Sweden SE: 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 Sweden – Table SE.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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