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. a

    Income Disparity: Concentrations of Wealth and Poverty in the USA

    • hub.arcgis.com
    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Apr 27, 2022
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    New Mexico Community Data Collaborative (2022). Income Disparity: Concentrations of Wealth and Poverty in the USA [Dataset]. https://hub.arcgis.com/maps/1d4bab3a6ed74c17a2d99645ffdc931f
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    Dataset updated
    Apr 27, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    This map shows households within high ($200,000 or more) and low (less than $25,000) annual income ranges. This is shown as a percentage of total households. The data is attached to tract, county, and state centroids and shows:Percent of households making less than $25,000 annuallyPercent of households making $200,000 or more annuallyThe data shown is household income in the past 12 months. These are the American Community Survey (ACS) most current 5-year estimates: Table B19001. The data layer is updated annually, so this map always shows the most current values from the U.S. Census Bureau. To find the layer used in this map and see the full metadata, visit this Living Atlas item.These categories were constructed using an Arcade expression, which groups the lowest census income categories and normalizes them by total households.

  3. U.S. Gini gap between rich and poor 2023, by state

    • statista.com
    Updated Oct 25, 2024
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    Statista (2024). U.S. Gini gap between rich and poor 2023, by state [Dataset]. https://www.statista.com/statistics/227249/greatest-gap-between-rich-and-poor-by-us-state/
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    Dataset updated
    Oct 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    New York was the state with the greatest gap between rich and poor, with a Gini coefficient score of 0.52 in 2023. Although not a state, District of Columbia was among the highest Gini coefficients in the United States that year.

  4. Gini coefficient income distribution inequality in Latin America 2023, by...

    • statista.com
    Updated May 6, 2025
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    Statista (2025). Gini coefficient income distribution inequality in Latin America 2023, by country [Dataset]. https://www.statista.com/statistics/980285/income-distribution-gini-coefficient-latin-america-caribbean-country/
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    LAC, Latin America
    Description

    Based on the degree of inequality in income distribution measured by the Gini coefficient, Colombia was the most unequal country in Latin America as of 2022. Colombia's Gini coefficient amounted to 54.8. The Dominican Republic recorded the lowest Gini coefficient at 37, even below Uruguay and Chile, which are some of the countries with the highest human development indexes in Latin America. The Gini coefficient explained The Gini coefficient measures the deviation of the distribution of income among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality. This measurement reflects the degree of wealth inequality at a certain moment in time, though it may fail to capture how average levels of income improve or worsen over time. What affects the Gini coefficient in Latin America? Latin America, as other developing regions in the world, generally records high rates of inequality, with a Gini coefficient ranging between 37 and 55 points according to the latest available data from the reporting period 2010-2023. According to the Human Development Report, wealth redistribution by means of tax transfers improves Latin America's Gini coefficient to a lesser degree than it does in advanced economies. Wider access to education and health services, on the other hand, have been proven to have a greater direct effect in improving Gini coefficient measurements in the region.

  5. o

    Data from: GEOWEALTH-US: Spatial wealth inequality data for the United...

    • openicpsr.org
    delimited
    Updated Jun 23, 2023
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    Joel Suss; Dylan Connor; Tom Kemeny (2023). GEOWEALTH-US: Spatial wealth inequality data for the United States, 1960-2020 [Dataset]. http://doi.org/10.3886/E192306V4
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    delimitedAvailable download formats
    Dataset updated
    Jun 23, 2023
    Dataset provided by
    Arizona State University
    London School of Economics
    University of Toronto
    Authors
    Joel Suss; Dylan Connor; Tom Kemeny
    License

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

    Time period covered
    1960 - 2020
    Area covered
    United States
    Description

    Wealth inequality has been sharply rising in the United States and across many other high-income countries. Due to a lack of data, we know little about how this trend has unfolded across locations within countries. Investigating this subnational geography of wealth is crucial, as from one generation to the next, wealth powerfully shapes opportunity and disadvantage across individuals and communities. Using machine-learning-based imputation to link newly assembled national historical surveys conducted by the U.S. Federal Reserve to population survey microdata, the data presented in this paper addresses this gap. The Geographic Wealth Inequality Database ("GEOWEALTH-US") provides the first estimates of the level and distribution of wealth at various geographical scales within the United States from 1960 to 2020. The GEOWEALTH-US database enables new lines investigation into the contribution of inter-regional wealth patterns to major societal challenges including wealth concentration, spatial income inequality, equality of opportunity, housing unaffordability, and political polarization.

  6. Data and Code for: Intergenerational Economic Mobility and the Racial Wealth...

    • openicpsr.org
    Updated Jan 6, 2021
    + more versions
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    Jermaine Toney; Cassandra Robertson (2021). Data and Code for: Intergenerational Economic Mobility and the Racial Wealth Gap [Dataset]. http://doi.org/10.3886/E130341V3
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    Dataset updated
    Jan 6, 2021
    Dataset provided by
    American Economic Associationhttp://www.aeaweb.org/
    Authors
    Jermaine Toney; Cassandra Robertson
    License

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

    Description

    A growing body of research documents the importance of wealth and the racial wealth gap in perpetuating inequality across generations. We add to this literature by examining the impact of wealth on child income. Our two stage least squares regressions reveal that grandparental and parental wealth have an important effect on the younger generation’s stock (first stage results), which in turn affects the younger generation’s household income (second stage results). We further explore the relationship between income and wealth by decomposing the child’s income by race. We find that the intergroup disparity in income is mainly attributable to differences in family background. These findings indicate that wealth is an important source of income inequality.

  7. Income Inequality in U.S. Counties

    • hub.arcgis.com
    Updated Sep 29, 2015
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    Urban Observatory by Esri (2015). Income Inequality in U.S. Counties [Dataset]. https://hub.arcgis.com/maps/b2db6f24618d4aad9885d2dd51024842
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    Dataset updated
    Sep 29, 2015
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    Income InequalityThe level of income inequality among households in a county can be measured using the Gini index. A Gini index varies between zero and one. A value of one indicates perfect inequality, where only one household in the county has any income. A value of zero indicates perfect equality, where all households in the county have equal income.The United States, as a country, has a Gini Index of 0.47 for this time period. For comparision in this map, the purple counties have greater income inequality, while orange counties have less inequality of incomes. For reference, Brazil has an index of 0.58 (relatively high inequality) and Denmark has an index of 0.24 (relatively low inequality).The 5-year Gini index for the U.S. was 0.4695 in 2007-2011 and 0.467 in 2006-2010. Appalachian Regional Commission, September 2013Data source: U.S. Census Bureau, 5-Year American Community Survey, 2006-2010 & 2007-2011

  8. F

    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). Net Worth Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLT01026
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    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 1% (99th to 100th Wealth Percentiles) (WFRBLT01026) from Q3 1989 to Q1 2025 about net worth, wealth, percentile, Net, and USA.

  9. H

    Replication Data for: The Relative Impact of Wealth and Income Inequality on...

    • dataverse.harvard.edu
    Updated Jul 10, 2025
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    Wahideh Achbari; Jona Linde; Brian Burgoon; Bertjan Doosje (2025). Replication Data for: The Relative Impact of Wealth and Income Inequality on Social and Political Trust: A Global Analysis [Dataset]. http://doi.org/10.7910/DVN/RIHPM2
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Wahideh Achbari; Jona Linde; Brian Burgoon; Bertjan Doosje
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Worldwide, income and wealth inequality have increased in many countries. Such inequalities yield various social ills, including the decline of social cohesion, a pattern visible amidst recent crises and global political upheavals. Nevertheless, scholars of social and political disaffection have focused primarily on income inequality in OECD countries. This article’s contribution is to expand that focus by: (1) examining the impact of wealth inequality, which no study has done before; (2) extending the link between inequality and social trust to political trust; and (3) taking a global approach. The authors produce an original dataset, combining a novel wealth-inequality measure with 60 waves of Barometers and Values surveys across 309 country-year units and other relevant indicators. Results show that income inequality undermines social trust, but reveal no significant effect for wealth inequality. The effects of income and wealth inequality on political trust are moderated by democracy levels and country wealth, respectively.

  10. T

    Finland - Inequality of income distribution

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 24, 2020
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    TRADING ECONOMICS (2020). Finland - Inequality of income distribution [Dataset]. https://tradingeconomics.com/finland/inequality-of-income-distribution-eurostat-data.html
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Aug 24, 2020
    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
    Finland
    Description

    Finland - Inequality of income distribution was 3.73 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Inequality of income distribution - last updated from the EUROSTAT on July of 2025. Historically, Finland - Inequality of income distribution reached a record high of 3.78 in December of 2023 and a record low of 3.54 in December of 2017.

  11. T

    Italy - Inequality of income distribution

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 24, 2020
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    TRADING ECONOMICS (2020). Italy - Inequality of income distribution [Dataset]. https://tradingeconomics.com/italy/inequality-of-income-distribution-eurostat-data.html
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Aug 24, 2020
    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
    Italy
    Description

    Italy - Inequality of income distribution was 5.53 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Italy - Inequality of income distribution - last updated from the EUROSTAT on July of 2025. Historically, Italy - Inequality of income distribution reached a record high of 6.27 in December of 2016 and a record low of 5.27 in December of 2023.

  12. F

    Income Inequality in New York County, NY

    • fred.stlouisfed.org
    json
    Updated Dec 12, 2024
    + more versions
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    (2024). Income Inequality in New York County, NY [Dataset]. https://fred.stlouisfed.org/series/2020RATIO036061
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    jsonAvailable download formats
    Dataset updated
    Dec 12, 2024
    License

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

    Area covered
    New York, New York, Manhattan, New York County
    Description

    Graph and download economic data for Income Inequality in New York County, NY (2020RATIO036061) from 2010 to 2023 about New York County, NY; inequality; New York; NY; income; and USA.

  13. Mexico: Gini coefficient income distribution inequality 2022, by state

    • ai-chatbox.pro
    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). Mexico: Gini coefficient income distribution inequality 2022, by state [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1040573%2Fincome-distribution-gini-coefficient-mexico-state%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Mexico
    Description

    Chiapas, the state with the highest share of population living in poverty, had the highest wealth inequality in the country based on the Gini coefficient as well. This index measures the deviation of the income distribution situation in a given country from a perfectly equal distribution. A value of 0 represents an ideal situation of equality, whereas 1 would be the highest possible degree of inequality. As of 2022, Mexico City, the country's capital, had a Gini coefficient of 0.46, second highest recorded figure.

  14. Income of the richest 20 percent of the population in Colombia 1980-2023

    • statista.com
    Updated Jul 30, 2025
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    Statista (2025). Income of the richest 20 percent of the population in Colombia 1980-2023 [Dataset]. https://www.statista.com/statistics/1075279/colombia-income-inequality/
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    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Colombia
    Description

    In 2023, the percentage of income held by the richest 20 percent of the population in Colombia amounted to 58.7 percent. Between 1980 and 2023, the figure dropped by 0.3 percentage points, though the decline followed an uneven course rather than a steady trajectory.

  15. T

    Bulgaria - Inequality of income distribution

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 3, 2021
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    TRADING ECONOMICS (2021). Bulgaria - Inequality of income distribution [Dataset]. https://tradingeconomics.com/bulgaria/inequality-of-income-distribution-eurostat-data.html
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Mar 3, 2021
    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
    Bulgaria
    Description

    Bulgaria - Inequality of income distribution was 6.96 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Bulgaria - Inequality of income distribution - last updated from the EUROSTAT on August of 2025. Historically, Bulgaria - Inequality of income distribution reached a record high of 8.23 in December of 2017 and a record low of 5.86 in December of 2010.

  16. T

    Greece - Inequality of income distribution

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 16, 2020
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    TRADING ECONOMICS (2020). Greece - Inequality of income distribution [Dataset]. https://tradingeconomics.com/greece/inequality-of-income-distribution-eurostat-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Sep 16, 2020
    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
    Greece
    Description

    Greece - Inequality of income distribution was 5.27 in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Greece - Inequality of income distribution - last updated from the EUROSTAT on July of 2025. Historically, Greece - Inequality of income distribution reached a record high of 6.63 in December of 2012 and a record low of 5.11 in December of 2019.

  17. F

    Income Gini Ratio for Households by Race of Householder, All Races

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Income Gini Ratio for Households by Race of Householder, All Races [Dataset]. https://fred.stlouisfed.org/series/GINIALLRH
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    jsonAvailable download formats
    Dataset updated
    Sep 10, 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 Gini Ratio for Households by Race of Householder, All Races (GINIALLRH) from 1967 to 2023 about gini, households, income, and USA.

  18. o

    Supplementary data for “Wealth Inequality, Aggregate Consumption, and...

    • openicpsr.org
    delimited
    Updated Jan 10, 2024
    + more versions
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    Byoungchan Lee (2024). Supplementary data for “Wealth Inequality, Aggregate Consumption, and Macroeconomic Trends under Incomplete Markets” [Dataset]. http://doi.org/10.3886/E197181V1
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    delimitedAvailable download formats
    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Hong Kong University of Science and Technology
    Authors
    Byoungchan Lee
    Time period covered
    1983 - 2018
    Area covered
    US
    Description

    I construct an incomplete market model featuring a closed-form expression for optimal consumption. In the model, individual consumption is an isoelastic function of wealth, inclusive of income, yielding partial consumption smoothing based on borrowing and lending in response to income shocks. I show that the model replicates several empirical characteristics of inequality in consumption, income, and wealth and their dynamics at the individual level. Using the model, I show that the rising wealth inequality since the 1980s, induced by an increase in idiosyncratic income risk, has substantially contributed to trend-level changes in real interest rates, capital-to-income ratios, and consumption-to-wealth ratios

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

    • ai-chatbox.pro
    • statista.com
    Updated Jun 4, 2025
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    Statista (2025). Colombia: wealth inequality based on income concentration 2012-2022 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1075279%2Fcolombia-income-inequality%2F%23XgboDwS6a1rKoGJjSPEePEUG%2FVFd%2Bik%3D
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    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.

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

    • ai-chatbox.pro
    • statista.com
    Updated May 6, 2025
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    Statista (2025). Gini coefficient income distribution inequality in Brazil 2010-2023 [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F981226%2Fincome-distribution-gini-coefficient-brazil%2F%23XgboD02vawLKoDs%2BT%2BQLIV8B6B4Q9itA
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    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Brazil
    Description

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

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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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U.S. wealth distribution Q2 2024

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23 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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