100+ datasets found
  1. U.S. quarterly wealth distribution 1989-2024, by income percentile

    • statista.com
    • ai-chatbox.pro
    Updated Jun 27, 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
    Jun 27, 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 ** percent of total wealth. This is fairly consistent with the second quarter of 2024. Comparatively, the wealth of the bottom ** percent of earners has been slowly increasing since the start of the *****, though remains low. Wealth distribution in the United States by generation can be found here.

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

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

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

  3. 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
    University of Toronto
    London School of Economics
    Arizona State University
    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.

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

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

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

  5. w

    World Income Inequality Database

    • data.wu.ac.at
    xls
    Updated Oct 11, 2013
    + more versions
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    Global (2013). World Income Inequality Database [Dataset]. https://data.wu.ac.at/odso/datahub_io/NmE4MjM0MmEtMmE0MC00Y2RlLTlmMzktYjFhZTBmMTc1MWQz
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    xlsAvailable download formats
    Dataset updated
    Oct 11, 2013
    Dataset provided by
    Global
    Description

    The World Income Inequality Database (WIID) contains information on income inequality in various countries, and is maintained by the United Nations University-World Institute for Development Economics Research (UNU-WIDER). The database was originally compiled during 1997-99 for the research project Rising Income Inequality and Poverty Reduction, directed by Giovanni Andrea Corina. A revised and updated version of the database was published in June 2005 as part of the project Global Trends in Inequality and Poverty, directed by Tony Shorrocks and Guang Hua Wan. The database was revised in 2007 and a new version was launched in May 2008.

    The database contains data on inequality in the distribution of income in various countries. The central variable in the dataset is the Gini index, a measure of income distribution in a society. In addition, the dataset contains information on income shares by quintile or decile. The database contains data for 159 countries, including some historical entities. The temporal coverage varies substantially across countries. For some countries there is only one data entry; in other cases there are over 100 data points. The earliest entry is from 1867 (United Kingdom), the latest from 2003. The majority of the data (65%) cover the years from 1980 onwards. The 2008 update (version WIID2c) includes some major updates and quality improvements, in fact leading to a reduced number of variables in the new version. The new version has 334 new observations and several revisions/ corrections made in 2007 and 2008.

  6. N

    Comprehensive Median Household Income and Distribution Dataset for...

    • neilsberg.com
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Richardson, TX: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cdb9b678-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    Richardson, Texas
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Richardson. It can be utilized to understand the trend in median household income and to analyze the income distribution in Richardson by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Richardson, TX Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Richardson, TX: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Richardson, TX
    • Richardson, TX households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Richardson median household income. You can refer the same here

  7. o

    Data and Code for: "Trends in U.S. Spatial Inequality: Concentrating...

    • openicpsr.org
    stata
    Updated Jan 21, 2021
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    Cecile Gaubert; Patrick Kline; Damian Vergara; Danny Yagan (2021). Data and Code for: "Trends in U.S. Spatial Inequality: Concentrating Affluence and a Democratization of Poverty" [Dataset]. http://doi.org/10.3886/E130741V1
    Explore at:
    stataAvailable download formats
    Dataset updated
    Jan 21, 2021
    Dataset provided by
    American Economic Association
    Authors
    Cecile Gaubert; Patrick Kline; Damian Vergara; Danny Yagan
    License

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

    Area covered
    United States
    Description

    We study trends in income inequality across U.S. states and counties 1960-2019 using a mix of administrative and survey data sources. Both states and counties have diverged in terms of per-capita pre-tax incomes since the late 1990s, with transfers serving to dampen this divergence. County incomes have been diverging since the late 1970s. These trends in mean income mask opposing patterns among top and bottom income quantiles. Top incomes have diverged markedly across states since the late 1970s. In contrast, bottom income quantiles and poverty rates have converged across areas in recent decades.

  8. Wealth Gini coefficient of India 2000-2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Wealth Gini coefficient of India 2000-2022 [Dataset]. https://www.statista.com/statistics/1248515/india-wealth-gini-coefficient/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    At the end of 2022, the Gini coefficient of wealth in India stood at ****. This was a slight increase from previous years. The trend since 2000 shows rising inequalities among the Indian population. What is Gini coefficient of wealth? The Gini coefficient is a measure of wealth inequality. The coefficient of the Gini index ranges from 0 to 1 with 0 representing perfect equality and 1 representing perfect inequality. Wealth and income distribution and inequality can however vary greatly. In 2023, South Africa topped the list of the most unequal countries in the world in terms of income inequality. Why do economic inequalities persist in India? By the end of 2022, the richest citizens in the country owned more than ** percent of the country’s wealth. Asia’s two richest men Mukesh Ambani and Gautam Adani are Indians. The number of high-net-worth individuals has continuously increased over the last decades. While millions of people escaped poverty in the country in the last few years, the wealth distribution between rich and poor remains skewed. Crony capitalism and the accumulation of wealth through inheritance are some of the factors behind this widening gap.

  9. d

    Replication Code for \"Income Inequality in the United States: Using Tax...

    • dataone.org
    Updated Dec 16, 2023
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    Auten, Gerald; Splinter, David (2023). Replication Code for \"Income Inequality in the United States: Using Tax Data to Measure Long-Term Trends\" [Dataset]. http://doi.org/10.7910/DVN/NZ8YIT
    Explore at:
    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Auten, Gerald; Splinter, David
    Description

    This is the replication code package for "Income Inequality in the United States: Using Tax Data to Measure Long-Term Trends," accepted in 2023 by the Journal of Political Economy.

  10. N

    Comprehensive Median Household Income and Distribution Dataset for Gold...

    • neilsberg.com
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Gold Beach, OR: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cd9dc310-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    Gold Beach, Oregon
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Gold Beach. It can be utilized to understand the trend in median household income and to analyze the income distribution in Gold Beach by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Gold Beach, OR Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Gold Beach, OR: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Gold Beach, OR
    • Gold Beach, OR households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Gold Beach median household income. You can refer the same here

  11. U.S. wealth distribution 1990-2024, by generation

    • statista.com
    Updated Aug 26, 2024
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    Statista (2024). U.S. wealth distribution 1990-2024, by generation [Dataset]. https://www.statista.com/statistics/1376622/wealth-distribution-for-the-us-generation/
    Explore at:
    Dataset updated
    Aug 26, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2024, 51.8 percent of the total wealth in the United States was owned by members of the baby boomer generation. In comparison, millennials own around 9.4 percent of total wealth in the U.S. In terms of population distribution, there is almost an equal share of millennials and baby boomers in the United States.

  12. N

    Comprehensive Median Household Income and Distribution Dataset for Bermuda...

    • neilsberg.com
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Bermuda Run, NC: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cd8b1537-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    Bermuda Run, North Carolina
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Bermuda Run. It can be utilized to understand the trend in median household income and to analyze the income distribution in Bermuda Run by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Bermuda Run, NC Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Bermuda Run, NC: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Bermuda Run, NC
    • Bermuda Run, NC households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Bermuda Run median household income. You can refer the same here

  13. Measure of income inequality in Canada 2000-2021

    • statista.com
    • ai-chatbox.pro
    Updated Jan 23, 2025
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    Statista (2025). Measure of income inequality in Canada 2000-2021 [Dataset]. https://www.statista.com/statistics/613030/measure-of-income-inequality-in-canada/
    Explore at:
    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    This statistic shows the Gini coefficient of Canada from 2000 to 2021. In 2021, the Gini coefficient of Canada was 0.288.

  14. N

    Comprehensive Median Household Income and Distribution Dataset for Big Stone...

    • neilsberg.com
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Big Stone Gap, VA: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cd8b741a-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    Big Stone Gap, Virginia
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Big Stone Gap. It can be utilized to understand the trend in median household income and to analyze the income distribution in Big Stone Gap by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Big Stone Gap, VA Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Big Stone Gap, VA: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Big Stone Gap, VA
    • Big Stone Gap, VA households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Big Stone Gap median household income. You can refer the same here

  15. GINI coefficient in Venezuela 2014-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 6, 2025
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    Statista (2025). GINI coefficient in Venezuela 2014-2024 [Dataset]. https://www.statista.com/statistics/1416810/gini-coefficient-venezuela/
    Explore at:
    Dataset updated
    May 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Venezuela
    Description

    During the displayed time period in Venezuela, the GINI coefficient, which reflects the degree of wealth distribution inequality, has exhibited an increasing trend, reaching a value of **** in 2017. This indicates a greater income disparity among the population.

  16. N

    Comprehensive Median Household Income and Distribution Dataset for Indian...

    • neilsberg.com
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Indian Village, IN: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cda3717b-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    IN, Indian Village
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Indian Village. It can be utilized to understand the trend in median household income and to analyze the income distribution in Indian Village by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Indian Village, IN Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Indian Village, IN: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Indian Village, IN
    • Indian Village, IN households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Indian Village median household income. You can refer the same here

  17. N

    Comprehensive Median Household Income and Distribution Dataset for La Rue,...

    • neilsberg.com
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for La Rue, OH: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cda6548e-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    La Rue, Ohio
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in La Rue. It can be utilized to understand the trend in median household income and to analyze the income distribution in La Rue by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • La Rue, OH Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in La Rue, OH: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in La Rue, OH
    • La Rue, OH households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of La Rue median household income. You can refer the same here

  18. N

    Comprehensive Median Household Income and Distribution Dataset for Rich...

    • neilsberg.com
    Updated Jan 11, 2024
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    Neilsberg Research (2024). Comprehensive Median Household Income and Distribution Dataset for Rich Hill, MO: Analysis by Household Type, Size and Income Brackets [Dataset]. https://www.neilsberg.com/research/datasets/cdb9ad09-b041-11ee-aaca-3860777c1fe6/
    Explore at:
    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
    Rich Hill, Missouri
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the median household income in Rich Hill. It can be utilized to understand the trend in median household income and to analyze the income distribution in Rich Hill by household type, size, and across various income brackets.

    Content

    The dataset will have the following datasets when applicable

    Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

    • Rich Hill, MO Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
    • Median Household Income Variation by Family Size in Rich Hill, MO: Comparative analysis across 7 household sizes
    • Income Distribution by Quintile: Mean Household Income in Rich Hill, MO
    • Rich Hill, MO households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

    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/.

    Interested in deeper insights and visual analysis?

    Explore our comprehensive data analysis and visual representations for a deeper understanding of Rich Hill median household income. You can refer the same here

  19. Gini index of Taiwan 1980-2023

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

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

  20. U.S. median household income 1967-2023, by race and ethnicity

    • statista.com
    • ai-chatbox.pro
    Updated Oct 28, 2024
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    Statista (2024). U.S. median household income 1967-2023, by race and ethnicity [Dataset]. https://www.statista.com/statistics/1086359/median-household-income-race-us/
    Explore at:
    Dataset updated
    Oct 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the U.S., median household income rose from 51,570 U.S. dollars in 1967 to 80,610 dollars in 2023. In terms of broad ethnic groups, Black Americans have consistently had the lowest median income in the given years, while Asian Americans have the highest; median income in Asian American households has typically been around double that of Black Americans.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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/
Organization logo

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

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 27, 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 ** percent of total wealth. This is fairly consistent with the second quarter of 2024. Comparatively, the wealth of the bottom ** percent of earners has been slowly increasing since the start of the *****, though remains low. Wealth distribution in the United States by generation can be found here.

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