100+ datasets found
  1. Gross and net income ratio of top 20 percent to bottom 20 percent in the EU...

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Gross and net income ratio of top 20 percent to bottom 20 percent in the EU 2024 [Dataset]. https://www.statista.com/statistics/1449283/income-quintile-share-ratio-gross-net-s80-s20/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    European Union
    Description

    The ratio of the top 20 percents' income to that of the bottom ** percent of earners is a common way to measure income inequality. In the European Union, this ratio was **** before taxes and **** after taxes in 2024. Many European countries are known for their progressive taxation systems and strong social benefits, meaning that post-taxes and social transfers, their income inequality is much lower than what it is in gross terms. This is particularly the case for countries such as *******, which has the second-highest gross income inequality between its highest earners and lowest earners, but has the fourth-highest inequality ratio when taxes and transfers are factored in. The country with the smallest disparity between high and low earners in Europe was ******* in 2024, with a gross ratio of 4.78 and a net ratio of ****

  2. U.S. household income distribution 2023

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). U.S. household income distribution 2023 [Dataset]. https://www.statista.com/statistics/203183/percentage-distribution-of-household-income-in-the-us/
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    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, just over 50 percent of Americans had an annual household income that was less than 75,000 U.S. dollars. The median household income was 80,610 U.S. dollars in 2023. Income and wealth in the United States After the economic recession in 2009, income inequality in the U.S. is more prominent across many metropolitan areas. The Northeast region is regarded as one of the wealthiest in the country. Maryland, New Jersey, and Massachusetts were among the states with the highest median household income in 2020. In terms of income by race and ethnicity, the average income of Asian households was 94,903 U.S. dollars in 2020, while the median income for Black households was around half of that figure. What is the U.S. poverty threshold? The U.S. Census Bureau annually updates its list of poverty levels. Preliminary estimates show that the average poverty threshold for a family of four people was 26,500 U.S. dollars in 2021, which is around 100 U.S. dollars less than the previous year. There were an estimated 37.9 million people in poverty across the United States in 2021, which was around 11.6 percent of the population. Approximately 19.5 percent of those in poverty were Black, while 8.2 percent were white.

  3. High income tax filers in Canada

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Oct 28, 2024
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    Government of Canada, Statistics Canada (2024). High income tax filers in Canada [Dataset]. http://doi.org/10.25318/1110005501-eng
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    Dataset updated
    Oct 28, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

  4. F

    Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
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    (2025). Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLT01026
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBLT01026) from Q3 1989 to Q2 2025 about net worth, wealth, percentile, Net, and USA.

  5. T

    Indonesia - Income Share Held By Highest 20%

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
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    TRADING ECONOMICS (2017). Indonesia - Income Share Held By Highest 20% [Dataset]. https://tradingeconomics.com/indonesia/income-share-held-by-highest-20percent-wb-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    May 30, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Indonesia
    Description

    Income share held by highest 20% in Indonesia was reported at 43.6 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on August of 2025.

  6. T

    Thailand - Income Share Held By Highest 20%

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). Thailand - Income Share Held By Highest 20% [Dataset]. https://tradingeconomics.com/thailand/income-share-held-by-highest-20percent-wb-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Thailand
    Description

    Income share held by highest 20% in Thailand was reported at 41.5 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Thailand - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  7. Table 3.1a Percentile points from 1 to 99 for total income before and after...

    • gov.uk
    Updated Mar 12, 2025
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    HM Revenue & Customs (2025). Table 3.1a Percentile points from 1 to 99 for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-from-1-to-99-for-total-income-before-and-after-tax
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and total income after tax.

    These statistics are classified as accredited official statistics.

    You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

    Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

    Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

  8. F

    Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes:...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXU900000LB0102M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Income Before Taxes: Wages and Salaries by Quintiles of Income Before Taxes: Lowest 20 Percent (1st to 20th Percentile) (CXU900000LB0102M) from 1984 to 2023 about percentile, salaries, tax, wages, income, and USA.

  9. N

    Income Distribution by Quintile: Mean Household Income in Upper Saddle...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in Upper Saddle River, NJ [Dataset]. https://www.neilsberg.com/research/datasets/951cfaf1-7479-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Upper Saddle River, New Jersey
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the mean household income for each of the five quintiles in Upper Saddle River, NJ, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 53,845, while the mean income for the highest quintile (20% of households with the highest income) is 931,141. This indicates that the top earners earn 17 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 1,396,344, which is 149.96% higher compared to the highest quintile, and 2593.27% higher compared to the lowest quintile.

    https://i.neilsberg.com/ch/upper-saddle-river-nj-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Upper Saddle River, NJ (in 2022 inflation-adjusted dollars))">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income Levels:

    • Lowest Quintile
    • Second Quintile
    • Third Quintile
    • Fourth Quintile
    • Highest Quintile
    • Top 5 Percent

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Upper Saddle River median household income. You can refer the same here

  10. T

    Norway - Income Share Held By Highest 20%

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 28, 2017
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    TRADING ECONOMICS (2017). Norway - Income Share Held By Highest 20% [Dataset]. https://tradingeconomics.com/norway/income-share-held-by-highest-20percent-wb-data.html
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jun 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Norway
    Description

    Income share held by highest 20% in Norway was reported at 36.2 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Norway - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  11. Average annual earnings for full-time employees in the UK 2024, by...

    • statista.com
    Updated Apr 25, 2025
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    Statista (2025). Average annual earnings for full-time employees in the UK 2024, by percentile [Dataset]. https://www.statista.com/statistics/416102/average-annual-gross-pay-percentiles-united-kingdom/
    Explore at:
    Dataset updated
    Apr 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United Kingdom
    Description

    In 2024, the average annual full-time earnings for the top ten percent of earners in the United Kingdom was 72,150 British pounds, compared with 22,763 for the bottom ten percent of earners. As of this year, the average annual earnings for all full-time employees was 37,430 pounds, up from 34,963 pounds in the previous year. Strong wage growth continues in 2025 As of February 2025, wages in the UK were growing by approximately 5.9 percent compared with the previous year, with this falling to 5.6 percent if bonus pay is included. When adjusted for inflation, regular pay without bonuses grew by 2.1 percent, with overall pay including bonus pay rising by 1.9 percent. While UK wages have now outpaced inflation for almost two years, there was a long period between 2021 and 2023 when high inflation in the UK was rising faster than wages, one of the leading reasons behind a severe cost of living crisis at the time. UK's gender pay gap falls in 2024 For several years, the difference between average hourly earnings for men and women has been falling, with the UK's gender pay gap dropping to 13.1 percent in 2024, down from 27.5 percent in 1997. When examined by specific industry sectors, however, the discrepancy between male and female earnings can be much starker. In the financial services sector, for example, the gender pay gap was almost 30 percent, with professional, scientific and technical professions also having a relatively high gender pay gap rate of 20 percent.

  12. T

    India - Income Share Held By Highest 20%

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). India - Income Share Held By Highest 20% [Dataset]. https://tradingeconomics.com/india/income-share-held-by-highest-20percent-wb-data.html
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    India
    Description

    Income share held by highest 20% in India was reported at 36.1 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  13. N

    Income Distribution by Quintile: Mean Household Income in Amsterdam Town,...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in Amsterdam Town, New York [Dataset]. https://www.neilsberg.com/research/datasets/9456a2f6-7479-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Amsterdam
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the mean household income for each of the five quintiles in Amsterdam Town, New York, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 16,257, while the mean income for the highest quintile (20% of households with the highest income) is 188,892. This indicates that the top earners earn 12 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 276,571, which is 146.42% higher compared to the highest quintile, and 1701.24% higher compared to the lowest quintile.

    https://i.neilsberg.com/ch/amsterdam-town-ny-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Amsterdam Town, New York (in 2022 inflation-adjusted dollars))">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income Levels:

    • Lowest Quintile
    • Second Quintile
    • Third Quintile
    • Fourth Quintile
    • Highest Quintile
    • Top 5 Percent

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Amsterdam town median household income. You can refer the same here

  14. N

    Income Distribution by Quintile: Mean Household Income in Will County, IL

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in Will County, IL [Dataset]. https://www.neilsberg.com/research/datasets/952a8f5c-7479-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Will County, Illinois
    Variables measured
    Income Level, Mean Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income quintiles (mentioned above) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the mean household income for each of the five quintiles in Will County, IL, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

    Key observations

    • Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 24,396, while the mean income for the highest quintile (20% of households with the highest income) is 276,607. This indicates that the top earners earn 11 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 455,702, which is 164.75% higher compared to the highest quintile, and 1867.94% higher compared to the lowest quintile.

    https://i.neilsberg.com/ch/will-county-il-mean-household-income-by-quintiles.jpeg" alt="Mean household income by quintiles in Will County, IL (in 2022 inflation-adjusted dollars))">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Income Levels:

    • Lowest Quintile
    • Second Quintile
    • Third Quintile
    • Fourth Quintile
    • Highest Quintile
    • Top 5 Percent

    Variables / Data Columns

    • Income Level: This column showcases the income levels (As mentioned above).
    • Mean Household Income: Mean household income, in 2022 inflation-adjusted dollars for the specific income level.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Will County median household income. You can refer the same here

  15. T

    Pakistan - Income Share Held By Highest 20%

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). Pakistan - Income Share Held By Highest 20% [Dataset]. https://tradingeconomics.com/pakistan/income-share-held-by-highest-20percent-wb-data.html
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Pakistan
    Description

    Income share held by highest 20% in Pakistan was reported at 39.6 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  16. U.S household income shares of quintiles 1970-2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S household income shares of quintiles 1970-2023 [Dataset]. https://www.statista.com/statistics/203247/shares-of-household-income-of-quintiles-in-the-us/
    Explore at:
    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    About 50.4 percent of the household income of private households in the U.S. were earned by the highest quintile in 2023, which are the upper 20 percent of the workers. In contrast to that, in the same year, only 3.5 percent of the household income was earned by the lowest quintile. This relation between the quintiles is indicative of the level of income inequality in the United States. Income inequalityIncome inequality is a big topic for public discussion in the United States. About 65 percent of U.S. Americans think that the gap between the rich and the poor has gotten larger in the past ten years. This impression is backed up by U.S. census data showing that the Gini-coefficient for income distribution in the United States has been increasing constantly over the past decades for individuals and households. The Gini coefficient for individual earnings of full-time, year round workers has increased between 1990 and 2020 from 0.36 to 0.42, for example. This indicates an increase in concentration of income. In general, the Gini coefficient is calculated by looking at average income rates. A score of zero would reflect perfect income equality and a score of one indicates a society where one person would have all the money and all other people have nothing. Income distribution is also affected by region. The state of New York had the widest gap between rich and poor people in the United States, with a Gini coefficient of 0.51, as of 2019. In global comparison, South Africa led the ranking of the 20 countries with the biggest inequality in income distribution in 2018. South Africa had a score of 63 points, based on the Gini coefficient. On the other hand, the Gini coefficient stood at 16.6 in Azerbaijan, indicating that income is widely spread among the population and not concentrated on a few rich individuals or families. Slovenia led the ranking of the 20 countries with the greatest income distribution equality in 2018.

  17. U

    United Arab Emirates AE: Income Share Held by Highest 20%

    • ceicdata.com
    Updated Jun 15, 2024
    + more versions
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    CEICdata.com (2024). United Arab Emirates AE: Income Share Held by Highest 20% [Dataset]. https://www.ceicdata.com/en/united-arab-emirates/poverty/ae-income-share-held-by-highest-20
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    Dataset updated
    Jun 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, 2014
    Area covered
    United Arab Emirates
    Description

    United Arab Emirates AE: Income Share Held by Highest 20% data was reported at 38.200 % in 2014. United Arab Emirates AE: Income Share Held by Highest 20% data is updated yearly, averaging 38.200 % from Dec 2014 (Median) to 2014, with 1 observations. United Arab Emirates AE: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Arab Emirates – Table AE.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. 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. I

    Ireland IE: Income Share Held by Highest 20%

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). Ireland IE: Income Share Held by Highest 20% [Dataset]. https://www.ceicdata.com/en/ireland/poverty/ie-income-share-held-by-highest-20
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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, 2003 - Dec 1, 2014
    Area covered
    Ireland, Ireland
    Description

    Ireland IE: Income Share Held by Highest 20% data was reported at 40.200 % in 2015. This records an increase from the previous number of 40.100 % for 2014. Ireland IE: Income Share Held by Highest 20% data is updated yearly, averaging 40.700 % from Dec 2003 (Median) to 2015, with 13 observations. The data reached an all-time high of 41.800 % in 2005 and a record low of 39.300 % in 2008. Ireland IE: Income Share Held by Highest 20% data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ireland – Table IE.World Bank.WDI: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. 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.

  19. T

    Mexico - Income Share Held By Highest 20%

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 1, 2017
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    TRADING ECONOMICS (2017). Mexico - Income Share Held By Highest 20% [Dataset]. https://tradingeconomics.com/mexico/income-share-held-by-highest-20percent-wb-data.html
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 1, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Mexico
    Description

    Income share held by highest 20% in Mexico was reported at 49.8 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Mexico - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

  20. T

    Sweden - Income Share Held By Highest 20%

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 27, 2017
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    TRADING ECONOMICS (2017). Sweden - Income Share Held By Highest 20% [Dataset]. https://tradingeconomics.com/sweden/income-share-held-by-highest-20percent-wb-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 27, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Sweden
    Description

    Income share held by highest 20% in Sweden was reported at 39.1 % in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Sweden - Income share held by highest 20% - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

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Statista (2025). Gross and net income ratio of top 20 percent to bottom 20 percent in the EU 2024 [Dataset]. https://www.statista.com/statistics/1449283/income-quintile-share-ratio-gross-net-s80-s20/
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Gross and net income ratio of top 20 percent to bottom 20 percent in the EU 2024

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Dataset updated
Jul 24, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
European Union
Description

The ratio of the top 20 percents' income to that of the bottom ** percent of earners is a common way to measure income inequality. In the European Union, this ratio was **** before taxes and **** after taxes in 2024. Many European countries are known for their progressive taxation systems and strong social benefits, meaning that post-taxes and social transfers, their income inequality is much lower than what it is in gross terms. This is particularly the case for countries such as *******, which has the second-highest gross income inequality between its highest earners and lowest earners, but has the fourth-highest inequality ratio when taxes and transfers are factored in. The country with the smallest disparity between high and low earners in Europe was ******* in 2024, with a gross ratio of 4.78 and a net ratio of ****

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