100+ datasets found
  1. B

    Brazil Top 10 percent income share - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 30, 2019
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    Globalen LLC (2019). Brazil Top 10 percent income share - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Brazil/income_top_10_percent_earners/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Dec 30, 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, 1981 - Dec 31, 2022
    Area covered
    Brazil
    Description

    Brazil: Percent income earned by the top 10 percent of earners: The latest value from 2022 is 41 percent, a decline from 41.6 percent in 2021. In comparison, the world average is 29.75 percent, based on data from 28 countries. Historically, the average for Brazil from 1981 to 2022 is 44.53 percent. The minimum value, 39.5 percent, was reached in 2020 while the maximum of 51.1 percent was recorded in 1989.

  2. 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
    Explore at:
    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.

  3. G

    Top 10 percent income share by country, around the world |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 1, 2020
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    Globalen LLC (2020). Top 10 percent income share by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/income_top_10_percent_earners/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 1, 2020
    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, World
    Description

    The average for 2021 based on 71 countries was 27.53 percent. The highest value was in Colombia: 43.7 percent and the lowest value was in Slovakia: 19.1 percent. The indicator is available from 1963 to 2023. Below is a chart for all countries where data are available.

  4. U.S. wealth distribution Q2 2024

    • statista.com
    • alfareestrrf.ru
    • +1more
    Updated Oct 29, 2024
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    Statista (2024). U.S. wealth distribution Q2 2024 [Dataset]. https://www.statista.com/statistics/203961/wealth-distribution-for-the-us/
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    Dataset updated
    Oct 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2024, almost two-thirds percent of the total wealth in the United States was owned by the top 10 percent of earners. In comparison, the lowest 50 percent of earners only owned 2.5 percent of the total wealth. Income inequality in the U.S. Despite the idea that the United States is a country where hard work and pulling yourself up by your bootstraps will inevitably lead to success, this is often not the case. In 2023, 7.4 percent of U.S. households had an annual income under 15,000 U.S. dollars. With such a small percentage of people in the United States owning such a vast majority of the country’s wealth, the gap between the rich and poor in America remains stark. The top one percent The United States follows closely behind China as the country with the most billionaires in the world. Elon Musk alone held around 219 billion U.S. dollars in 2022. Over the past 50 years, the CEO-to-worker compensation ratio has exploded, causing the gap between rich and poor to grow, with some economists theorizing that this gap is the largest it has been since right before the Great Depression.

  5. N

    Income Distribution by Quintile: Mean Household Income in White County, GA

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in White County, GA [Dataset]. https://www.neilsberg.com/research/datasets/95294eb6-7479-11ee-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
    White County, Georgia
    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 White County, GA, 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 18,810, while the mean income for the highest quintile (20% of households with the highest income) is 190,284. This indicates that the top earners earn 10 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 340,284, which is 178.83% higher compared to the highest quintile, and 1809.06% higher compared to the lowest quintile.

    Mean household income by quintiles in White County, GA (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 White County median household income. You can refer the same here

  6. High income tax filers in Canada

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Oct 28, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). High income tax filers in Canada [Dataset]. http://doi.org/10.25318/1110005501-eng
    Explore at:
    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.

  7. A

    Algeria Top 10 percent income share - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Jan 2, 2020
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    Globalen LLC (2020). Algeria Top 10 percent income share - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Algeria/income_top_10_percent_earners/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Jan 2, 2020
    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, 1988 - Dec 31, 2011
    Area covered
    Algeria
    Description

    Algeria: Percent income earned by the top 10 percent of earners: The latest value from 2011 is 22.9 percent, a decline from 26.9 percent in 1995. In comparison, the world average is 28.10 percent, based on data from 77 countries. Historically, the average for Algeria from 1988 to 2011 is 26.47 percent. The minimum value, 22.9 percent, was reached in 2011 while the maximum of 29.6 percent was recorded in 1988.

  8. Income share held by highest 10 percent in selected countries

    • statista.com
    Updated Jan 2, 2012
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    Statista (2012). Income share held by highest 10 percent in selected countries [Dataset]. https://www.statista.com/statistics/268282/income-shareheld-by-highest-10-percent-of-total-income/
    Explore at:
    Dataset updated
    Jan 2, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1993 - 2009
    Area covered
    Worldwide
    Description

    The statistic shows the income share of the top 10 percent of income earners in total income in selected countries*. The share of the top 10 percent of income earners in Russia was at 31.7 percent of total income in 2009.

  9. N

    Income Distribution by Quintile: Mean Household Income in Denmark, Maine

    • 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 Denmark, Maine [Dataset]. https://www.neilsberg.com/research/datasets/9481b120-7479-11ee-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
    Denmark, Maine
    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 Denmark, Maine, 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 21,302, while the mean income for the highest quintile (20% of households with the highest income) is 218,500. This indicates that the top earners earn 10 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 338,413, which is 154.88% higher compared to the highest quintile, and 1588.64% higher compared to the lowest quintile.

    Mean household income by quintiles in Denmark, Maine (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 Denmark town median household income. You can refer the same here

  10. Average monthly pay of employees in the UK in 2025, by percentile

    • statista.com
    Updated May 14, 2025
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    Statista (2025). Average monthly pay of employees in the UK in 2025, by percentile [Dataset]. https://www.statista.com/statistics/1224844/monthly-pay-of-employees-uk/
    Explore at:
    Dataset updated
    May 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2025
    Area covered
    United Kingdom
    Description

    In March 2025, the top one percent of earners in the United Kingdom received an average pay of over 16,000 British pounds per month, compared with the bottom ten percent of earners who earned around 800 pounds a month.

  11. F

    Income Before Taxes: Wages and Salaries by Deciles 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 Deciles of Income Before Taxes: Lowest 10 Percent (1st to 10th Percentile) [Dataset]. https://fred.stlouisfed.org/series/CXU900000LB1502M
    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 Deciles of Income Before Taxes: Lowest 10 Percent (1st to 10th Percentile) (CXU900000LB1502M) from 2014 to 2023 about percentile, salaries, tax, wages, income, and USA.

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

    • statista.com
    • ai-chatbox.pro
    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.

  13. N

    Income Distribution by Quintile: Mean Household Income in Luxemburg, WI

    • 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 Luxemburg, WI [Dataset]. https://www.neilsberg.com/research/datasets/94bdea32-7479-11ee-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
    Luxemburg, Wisconsin
    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 Luxemburg, WI, 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 20,342, while the mean income for the highest quintile (20% of households with the highest income) is 194,540. This indicates that the top earners earn 10 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 302,814, which is 155.66% higher compared to the highest quintile, and 1488.61% higher compared to the lowest quintile.

    Mean household income by quintiles in Luxemburg, WI (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 Luxemburg median household income. You can refer the same here

  14. F

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

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
    + more versions
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    (2025). Share of Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBST01134
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

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

    Description

    Graph and download economic data for Share of Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01134) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

  15. N

    Income Distribution by Quintile: Mean Household Income in Canadian County,...

    • 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 Canadian County, OK [Dataset]. https://www.neilsberg.com/research/datasets/946d3f73-7479-11ee-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
    Canadian County, Oklahoma
    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 Canadian County, OK, 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 20,694, while the mean income for the highest quintile (20% of households with the highest income) is 215,976. This indicates that the top earners earn 10 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 352,599, which is 163.26% higher compared to the highest quintile, and 1703.87% higher compared to the lowest quintile.

    Mean household income by quintiles in Canadian County, OK (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 Canadian County median household income. You can refer the same here

  16. U.S. household income distribution 2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. household income distribution 2023 [Dataset]. https://www.statista.com/statistics/203183/percentage-distribution-of-household-income-in-the-us/
    Explore at:
    Dataset updated
    Sep 16, 2024
    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.

  17. N

    Income Distribution by Quintile: Mean Household Income in Pittsford, NY

    • 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 Pittsford, NY [Dataset]. https://www.neilsberg.com/research/datasets/94e2ee19-7479-11ee-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
    New York, Pittsford
    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 Pittsford, NY, 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 38,924, while the mean income for the highest quintile (20% of households with the highest income) is 394,184. This indicates that the top earners earn 10 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 632,962, which is 160.58% higher compared to the highest quintile, and 1626.15% higher compared to the lowest quintile.

    Mean household income by quintiles in Pittsford, NY (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 Pittsford median household income. You can refer the same here

  18. N

    Norway Top 10 percent income share - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Dec 29, 2019
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    Globalen LLC (2019). Norway Top 10 percent income share - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Norway/income_top_10_percent_earners/
    Explore at:
    xml, csv, excelAvailable download formats
    Dataset updated
    Dec 29, 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, 1979 - Dec 31, 2019
    Area covered
    Norway
    Description

    Norway: Percent income earned by the top 10 percent of earners: The latest value from 2019 is 22.4 percent, an increase from 22.2 percent in 2018. In comparison, the world average is 27.07 percent, based on data from 75 countries. Historically, the average for Norway from 1979 to 2019 is 22.12 percent. The minimum value, 20.2 percent, was reached in 1986 while the maximum of 27.1 percent was recorded in 2004.

  19. Leading soccer players worldwide 2025, by annual earnings

    • statista.com
    • ai-chatbox.pro
    Updated May 16, 2025
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    Statista (2025). Leading soccer players worldwide 2025, by annual earnings [Dataset]. https://www.statista.com/statistics/266636/best-paid-soccer-players-in-the-2009-2010-season/
    Explore at:
    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Cristiano Ronaldo was the highest-earning soccer player in the world in 2025, being paid around 275 million U.S. dollars a year. The bulk of this sum came from on-field income, such as salary and bonuses. Meanwhile, Lionel Messi earned around 135 million U.S. dollars per year, with a larger share coming from off-pitch income. Who is better, Messi or Ronaldo? Messi and Ronaldo have been compared throughout their careers, with both players having exceptional ability. On the one hand, Ronaldo is the record goal scorer in the UEFA Champions League and holds many of the individual records in the competition. However, Messi has the one medal that Ronaldo could never win: the World Cup. The Argentinian lifted the famous trophy in 2022 after an exhilarating tournament, in which he scored seven goals. Ronaldo and Al-Nassr: an example of sportswashing? Ronaldo is undoubtedly the most well-known player to ever play in the Saudi Pro League, earning a salary more than most people can only dream of. Outside of soccer, Saudi Arabia’s investment in sporting events has been substantial, and human rights organizations have accused the country of using sport to whitewash – or sportswash – human rights abuses. Following his move to Al-Nassr, Amnesty International called on Ronaldo to bring attention to human rights issue in the country. Ronaldo, meanwhile, said he wanted to provide a different vision of the club and country.

  20. N

    Income Distribution by Quintile: Mean Household Income in Watseka, IL

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Income Distribution by Quintile: Mean Household Income in Watseka, IL [Dataset]. https://www.neilsberg.com/research/datasets/cdc69f10-b041-11ee-aaca-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
    Watseka, 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 Watseka, 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 12,206, while the mean income for the highest quintile (20% of households with the highest income) is 127,246. This indicates that the top earners earn 10 times compared to the lowest earners.
    • *Top 5%: * The mean household income for the wealthiest population (top 5%) is 173,111, which is 136.04% higher compared to the highest quintile, and 1418.25% higher compared to the lowest quintile.

    Mean household income by quintiles in Watseka, 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 Watseka median household income. You can refer the same here

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Globalen LLC (2019). Brazil Top 10 percent income share - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Brazil/income_top_10_percent_earners/

Brazil Top 10 percent income share - data, chart | TheGlobalEconomy.com

Explore at:
excel, xml, csvAvailable download formats
Dataset updated
Dec 30, 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, 1981 - Dec 31, 2022
Area covered
Brazil
Description

Brazil: Percent income earned by the top 10 percent of earners: The latest value from 2022 is 41 percent, a decline from 41.6 percent in 2021. In comparison, the world average is 29.75 percent, based on data from 28 countries. Historically, the average for Brazil from 1981 to 2022 is 44.53 percent. The minimum value, 39.5 percent, was reached in 2020 while the maximum of 51.1 percent was recorded in 1989.

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