100+ datasets found
  1. U.S. wealth distribution Q2 2024

    • statista.com
    • ai-chatbox.pro
    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.

  2. U.S. quarterly wealth distribution 1989-2024, by income percentile

    • statista.com
    • ai-chatbox.pro
    Updated Mar 19, 2025
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    Statista (2025). U.S. quarterly wealth distribution 1989-2024, by income percentile [Dataset]. https://www.statista.com/statistics/299460/distribution-of-wealth-in-the-united-states/
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    Dataset updated
    Mar 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the third quarter of 2024, the top ten percent of earners in the United States held over 67 percent of total wealth. This is fairly consistent with the second quarter of 2024. Comparatively, the wealth of the bottom 50 percent of earners has been slowly increasing since the start of the 2010s, though remains low. Wealth distribution in the United States by generation can be found here.

  3. Latin America: wealth inequality based on income concentration by country...

    • statista.com
    Updated Jul 24, 2024
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    Statista (2024). Latin America: wealth inequality based on income concentration by country 2022 [Dataset]. https://www.statista.com/statistics/1050681/latin-america-income-inequality-country/
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    Dataset updated
    Jul 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Latin America, LAC
    Description

    Brazil is one of the most unequal countries in terms of income in Latin America. In 2022, it was estimated that almost 57 percent of the income generated in Brazil was held by the richest 20 percent of its population. Among the Latin American countries with available data included in this graph, Colombia came in first, as the wealthiest 20 percent of the Colombian population held over 59 percent of the country's total income.

  4. Income inequality statistics across Canada: Canada, provinces and...

    • open.canada.ca
    • datasets.ai
    • +1more
    csv, html, xml
    Updated Nov 8, 2023
    + more versions
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    Statistics Canada (2023). Income inequality statistics across Canada: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts [Dataset]. https://open.canada.ca/data/dataset/1354a100-3472-4fc9-8814-a604f137339d
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Statistics on income inequality based on the Gini index and the p90/p10 ratio on various household income concepts (market income, total income, after-tax income) for Canada, provinces and territories, census metropolitan areas and census agglomerations.

  5. Distribution of wealth held by percentile in Mexico 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 4, 2025
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    Statista (2025). Distribution of wealth held by percentile in Mexico 2023 [Dataset]. https://www.statista.com/statistics/1294751/distribution-wealth-by-percentile-mexico/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Mexico
    Description

    In 2023, from the total national wealth in Mexico, 70.2 percent belonged to the top ten percent group. Meanwhile, the bottom 50 percent had a total of 2.3 percent.

  6. g

    Office for National Statistics (ONS) - Wealth Inequality

    • gimi9.com
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    Office for National Statistics (ONS) - Wealth Inequality [Dataset]. https://gimi9.com/dataset/london_wealth-inequality
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    Description

    Percentage of total wealth owned by households in each decile for London and Great Britain. Data extracted from the ONS Wealth and Assets Survey (WAS) microdata. This dataset is one of the Greater London Authority's measures of Economic Fairness. Click here to find out more.

  7. How accounting for differences in need for public services impacts UK income...

    • gov.uk
    • s3.amazonaws.com
    Updated Oct 12, 2020
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    Office for National Statistics (2020). How accounting for differences in need for public services impacts UK income inequality statistics [Dataset]. https://www.gov.uk/government/statistics/how-accounting-for-differences-in-need-for-public-services-impacts-uk-income-inequality-statistics
    Explore at:
    Dataset updated
    Oct 12, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Area covered
    United Kingdom
    Description

    Official statistics are produced impartially and free from political influence.

  8. Peru: wealth inequality based on income concentration 2012-2022

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Peru: wealth inequality based on income concentration 2012-2022 [Dataset]. https://www.statista.com/statistics/1075303/peru-income-inequality/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Peru
    Description

    The percentage of income held by the richest 20 percent of the population in Peru saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 46.5 percent. These figures refer to the share of total income held by the top fifth of earners in a given population.Find more key insights for the percentage of income held by the richest 20 percent of the population in countries like Bolivia and Ecuador.

  9. Caribbean NL; income inequality for private households

    • data.overheid.nl
    • cbs.nl
    atom, json
    Updated Jun 28, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (Rijk) (2024). Caribbean NL; income inequality for private households [Dataset]. https://data.overheid.nl/en/dataset/8de370a3-d5fd-4bc6-9b46-d5f62e6a5189
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    atom(KB), json(KB)Available download formats
    Dataset updated
    Jun 28, 2024
    Dataset provided by
    Statistics Netherlands
    License

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

    Area covered
    Caribbean
    Description

    This table provides the income inequality between private households in the Caribbean Netherlands; the islands of Bonaire, St. Eustatius, and Saba. Inequality is summarized by means of the Gini coefficient and 80/20 Ratio.

    Population: The population consists of the people in private households with income observed. The reference date is December 31 of the year under review.

    Data is available starting from: 2011.

    Status of the figures: The figures for 2011 to 2021 are final. The figures for 2022 are provisional.

    Changes June 28, 2024: The figures for 2016 to 2020 have changed. For 2016 and later (more) complete registration declaration data are available. The correction leads to higher incomes, in particular for the working- and the wealthy population. The final figures for 2021 and the provisional figures for 2022 are added.

    When will new figures be published? New figures are expected in September 2025.

  10. o

    Data from: The regional dispersion of income inequality in...

    • openicpsr.org
    stata
    Updated Sep 26, 2017
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    Jørgen Modalsli (2017). The regional dispersion of income inequality in nineteenth-century Norway [Dataset]. http://doi.org/10.3886/E100990V1
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    stataAvailable download formats
    Dataset updated
    Sep 26, 2017
    Dataset provided by
    Statistics Norway
    Authors
    Jørgen Modalsli
    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, 1865 - Dec 31, 1868
    Area covered
    Norway
    Description

    Replication package for "The regional dispersion of income inequality in nineteenth-century Norway", to be published in Explorations in Economic History (accepted September 2017). The files contain micro data foundations for estimates of Norwegian income inequality in 1868.The file "data_compact.dta" (Stata format) contains "pseudo-invididual" observations of all men age 25 or more in Norway in 1868, estimated as described in the paper. Note that any one individual data point cannot stand by itself; analysis must be conducted at the municipality and/or occupation level. This is further explained in the paper.The file "municipalityfile.dta" (Stata format) contains municipality-level Gini coefficients and covariates.The file "replicate.zip" contains the necessary files (Stata and Matlab) to replicate the analysis. See "DataReadMe.pdf" for instructions.Abstract for the paper: This paper documents, for the first time, municipality- and occupation-level estimates of income inequality between individuals in a European country in the nineteenth century, using a combination of several detailed data sets for Norway in the late 1860s. Urban incomes were on average 4.5 times as high as rural incomes, and the average city Gini coefficient was twice the average rural municipality Gini. All high- or medium-income occupation groups exhibited substantial within-occupation income inequality. Across municipalities, income inequality is higher in high-income municipalities, and lower in muncipalities with high levels of fisheries and pastoral agriculture. While manufacturing activity is positively correlated with income inequality, the association is not apparent when other economic factors such as the mode of food production is accounted for. The income Gini for Norway as a whole is found to have been 0.546, slightly higher than estimates for the UK and US in the same period.

  11. N

    Wayland, IA annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Wayland, IA annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/wayland-ia-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    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
    Iowa, Wayland
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Wayland. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Wayland, the median income for all workers aged 15 years and older, regardless of work hours, was $41,875 for males and $27,835 for females.

    These income figures highlight a substantial gender-based income gap in Wayland. Women, regardless of work hours, earn 66 cents for each dollar earned by men. This significant gender pay gap, approximately 34%, underscores concerning gender-based income inequality in the city of Wayland.

    - Full-time workers, aged 15 years and older: In Wayland, among full-time, year-round workers aged 15 years and older, males earned a median income of $53,000, while females earned $42,222, leading to a 20% gender pay gap among full-time workers. This illustrates that women earn 80 cents for each dollar earned by men in full-time roles. This analysis indicates a widening gender pay gap, showing a substantial income disparity where women, despite working full-time, face a more significant wage discrepancy compared to men in the same roles.

    Surprisingly, the gender pay gap percentage was higher across all roles, including non-full-time employment, for women compared to men. This suggests that full-time employment offers a more equitable income scenario for women compared to other employment patterns in Wayland.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 Wayland median household income by race. You can refer the same here

  12. Colombia: wealth inequality based on income concentration 2012-2022

    • statista.com
    • ai-chatbox.pro
    Updated Jun 4, 2025
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    Statista (2025). Colombia: wealth inequality based on income concentration 2012-2022 [Dataset]. https://www.statista.com/statistics/1075279/colombia-income-inequality/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Colombia
    Description

    In 2022, the percentage of income held by the richest 20 percent of the population in Colombia remained nearly unchanged at around 59.6 percent. In comparison to 2021, the percentage of income held decreased not significantly by 0.2 percentage points (-0.33 percent). These figures refer to the share of total income held by the top fifth of earners in a given population.Find more statistics on other topics about Colombia with key insights such as poverty headcount ratio at national poverty lines.

  13. F

    Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
    + more versions
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    (2025). Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLTP1246
    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 Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1246) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

  14. f

    Descriptive statistics.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Ioana van Deurzen; Wim van Oorschot; Erik van Ingen (2023). Descriptive statistics. [Dataset]. http://doi.org/10.1371/journal.pone.0115109.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Ioana van Deurzen; Wim van Oorschot; Erik van Ingen
    License

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

    Description

    Note: continuous variables in their original metric, before transformations. SD in parenthesis when applicable.a: women anemia sample, 373735 women in 33 countries.b: children anemia sample, 152485 children with age less than 71 months in 30 countries.c: experience of child mortality sample, 455692 women in 52 countries.Descriptive statistics.

  15. Gini coefficients of adjusted market, total and after-tax income

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Gini coefficients of adjusted market, total and after-tax income [Dataset]. http://doi.org/10.25318/1110013401-eng
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Gini coefficients of adjusted market, total and after-tax income, annual.

  16. N

    Woodlawn, OH annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Woodlawn, OH annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/woodlawn-oh-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    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
    Woodlawn, Ohio
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Woodlawn. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Woodlawn, the median income for all workers aged 15 years and older, regardless of work hours, was $51,028 for males and $30,387 for females.

    These income figures highlight a substantial gender-based income gap in Woodlawn. Women, regardless of work hours, earn 60 cents for each dollar earned by men. This significant gender pay gap, approximately 40%, underscores concerning gender-based income inequality in the village of Woodlawn.

    - Full-time workers, aged 15 years and older: In Woodlawn, for all full-time workers aged 15 years and older, the median income was equal at, $60,977 for both males and females. This indicates a gender income balance in Woodlawn, where both men and women, in full-time year-round roles, earn an equal income.

    Curiously, across all roles (full-time and others), there was a notable income disparity between the median incomes for women and men. This hints at a considerable reduction in the income gap within full-time roles, potentially indicating progress towards income equality for women in these roles within Woodlawn.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 Woodlawn median household income by race. You can refer the same here

  17. N

    Willoughby Hills, OH annual median income by work experience and sex...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
    Share
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    Click to copy link
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    Cite
    Neilsberg Research (2025). Willoughby Hills, OH annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/willoughby-hills-oh-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    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
    Willoughby Hills, Ohio
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Willoughby Hills. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Willoughby Hills, the median income for all workers aged 15 years and older, regardless of work hours, was $57,987 for males and $35,754 for females.

    These income figures highlight a substantial gender-based income gap in Willoughby Hills. Women, regardless of work hours, earn 62 cents for each dollar earned by men. This significant gender pay gap, approximately 38%, underscores concerning gender-based income inequality in the city of Willoughby Hills.

    - Full-time workers, aged 15 years and older: In Willoughby Hills, among full-time, year-round workers aged 15 years and older, males earned a median income of $79,044, while females earned $45,565, leading to a 42% gender pay gap among full-time workers. This illustrates that women earn 58 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Willoughby Hills, showcasing a consistent income pattern irrespective of employment status.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 Willoughby Hills median household income by race. You can refer the same here

  18. Ecuador: wealth inequality based on income concentration 2013-2023

    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Ecuador: wealth inequality based on income concentration 2013-2023 [Dataset]. https://www.statista.com/statistics/1075290/ecuador-income-inequality/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ecuador
    Description

    The percentage of income held by the richest 20 percent of the population in Ecuador decreased by 1.1 percentage points (-2.16 percent) compared to the previous year. Therefore, the percentage of income held in Ecuador saw its lowest number in that year with 49.8 percent. These figures refer to the share of total income held by the top fifth of earners in a given population.Find more key insights for the percentage of income held by the richest 20 percent of the population in countries like Bolivia and Peru.

  19. N

    Victory Town, New York annual median income by work experience and sex...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Victory Town, New York annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/victory-town-ny-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    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
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Victory town. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Victory town, the median income for all workers aged 15 years and older, regardless of work hours, was $48,750 for males and $21,800 for females.

    These income figures highlight a substantial gender-based income gap in Victory town. Women, regardless of work hours, earn 45 cents for each dollar earned by men. This significant gender pay gap, approximately 55%, underscores concerning gender-based income inequality in the town of Victory town.

    - Full-time workers, aged 15 years and older: In Victory town, among full-time, year-round workers aged 15 years and older, males earned a median income of $60,313, while females earned $40,357, leading to a 33% gender pay gap among full-time workers. This illustrates that women earn 67 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a similar gender pay gap percentage. This indicates a consistent gender pay gap scenario across various employment types in Victory town, showcasing a consistent income pattern irrespective of employment status.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    Employment type classifications include:

    • Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
    • Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 Victory town median household income by race. You can refer the same here

  20. El Salvador: wealth inequality based on income concentration 2012-2022

    • statista.com
    Updated Jun 4, 2025
    Share
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    Statista (2025). El Salvador: wealth inequality based on income concentration 2012-2022 [Dataset]. https://www.statista.com/statistics/1075313/el-salvador-income-inequality/
    Explore at:
    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    El Salvador
    Description

    The percentage of income held by the richest 20 percent of the population in El Salvador saw no significant changes in 2022 in comparison to the previous year 2021 and remained at around 44.8 percent. Still, 2022 marked the second consecutive decline of the percentage of income held. These figures refer to the share of total income held by the top fifth of earners in a given population.Find more key insights for the percentage of income held by the richest 20 percent of the population in countries like Honduras and Costa Rica.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2024). U.S. wealth distribution Q2 2024 [Dataset]. https://www.statista.com/statistics/203961/wealth-distribution-for-the-us/
Organization logo

U.S. wealth distribution Q2 2024

Explore at:
20 scholarly articles cite this dataset (View in Google Scholar)
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.

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