25 datasets found
  1. U.S. wealth distribution Q1 2025

    • statista.com
    • tokrwards.com
    Updated Aug 18, 2025
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    Statista (2025). U.S. wealth distribution Q1 2025 [Dataset]. https://www.statista.com/statistics/203961/wealth-distribution-for-the-us/
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2025, 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 was the country with the most billionaires in the world in 2025. Elon Musk, with a net worth of 342 billion U.S. dollars, was among the richest people in the United States in 2025. 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. wealth distribution 1989-2025, by generation

    • statista.com
    • tokrwards.com
    Updated Aug 18, 2025
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    Statista (2025). U.S. wealth distribution 1989-2025, by generation [Dataset]. https://www.statista.com/statistics/1376622/wealth-distribution-for-the-us-generation/
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    Dataset updated
    Aug 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter of 2025, 51.4 percent of the total wealth in the United States was owned by members of the baby boomer generation. In comparison, millennials own around 10.3 percent of total wealth in the U.S. In terms of population distribution, there was almost an equal share of millennials and baby boomers in the United States in 2024.

  3. F

    Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
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    (2025). Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLB50107
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    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

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

    Description

    Graph and download economic data for Net Worth Held by the Bottom 50% (1st to 50th Wealth Percentiles) (WFRBLB50107) from Q3 1989 to Q2 2025 about net worth, wealth, percentile, Net, and USA.

  4. Survey of Consumer Finances

    • federalreserve.gov
    Updated Oct 18, 2023
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    Board of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799
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    Dataset updated
    Oct 18, 2023
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Federal Reserve Board of Governors
    Authors
    Board of Governors of the Federal Reserve Board
    Time period covered
    1962 - 2023
    Description

    The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

  5. U.S. household income distribution 2023

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

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

  6. Asset Allocation of Top Wealth Owners: Proportion of Total Net Worth in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 4, 2023
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    Lisa A. Keister; Brian Aronson (2023). Asset Allocation of Top Wealth Owners: Proportion of Total Net Worth in Stocks, Bonds, and Retirement Accounts. [Dataset]. http://doi.org/10.1371/journal.pone.0172876.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lisa A. Keister; Brian Aronson
    License

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

    Description

    Asset Allocation of Top Wealth Owners: Proportion of Total Net Worth in Stocks, Bonds, and Retirement Accounts.

  7. Household total income group by household characteristics: Canada, provinces...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Mar 29, 2023
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    Government of Canada, Statistics Canada (2023). Household total income group by household characteristics: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts [Dataset]. http://doi.org/10.25318/9810005501-eng
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    Dataset updated
    Mar 29, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Distribution of household total income in constant 2020 dollars by household type (couple family, one-parent family, non-census family households) and characteristics of household members (number of earners and number of people in different age groups).

  8. G

    Average income of farm families by source and family total income group

    • open.canada.ca
    • datasets.ai
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Average income of farm families by source and family total income group [Dataset]. https://open.canada.ca/data/dataset/71c6f542-4eb6-4ae1-9b01-23529de153ea
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    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

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

    Description

    Average income of farm families by source and family total income group, unincorporated sector, (dollars unless otherwise noted) for Canada. Data available on an annual basis.

  9. N

    United States households by income brackets: family, non-family, and total,...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
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    Neilsberg Research (2024). United States households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/research/datasets/8b49e45e-747c-11ee-949f-3860777c1fe6/
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    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    United States
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. 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 a breakdown of households across various income brackets in United States, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for United States reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of United States households based on income levels.

    Key observations

    • For Family Households: In United States, the majority of family households, representing 14.18%, earn $75,000 to $99,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 2.01%, have incomes falling $150,000 to $199,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In United States, the majority of non-family households, accounting for 10.55%, have income Less than $10,000, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 3.26%, earn $150,000 to $199,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

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

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in United States (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in United States
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in United States
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in United States

    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 United States median household income. You can refer the same here

  10. U.S. wealth distribution Q1 2025, by generation

    • statista.com
    • tokrwards.com
    Updated Mar 26, 2025
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    Abigail Tierney (2025). U.S. wealth distribution Q1 2025, by generation [Dataset]. https://www.statista.com/topics/2154/poverty-and-income-in-the-united-states/
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    In the first quarter of 2025, 51.4 percent of the total wealth in the United States was owned by members of the baby boomer generation. In comparison, millennials owned around 10.3 percent of total wealth in the U.S. In terms of population distribution, there was almost an equal share of millennials and baby boomers in the United States in 2024.

  11. c

    What are the predominant household incomes?

    • hub.scag.ca.gov
    • data.amerigeoss.org
    Updated Feb 1, 2022
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    rdpgisadmin (2022). What are the predominant household incomes? [Dataset]. https://hub.scag.ca.gov/maps/3b83af39cb1f4dbe968f7383d6441a8b
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Description

    This map shows the predominant household income by county, tract, and block group in the US in 2018. County is symbolized using color for the predominant income range. Tract and block group use color and size to show the predominant income range and count of total households. There are 9 income ranges:Household Income less than $15,000Household Income $15,000-$24,999Household Income $25,000-$34,999Household Income $35,000-$49,999Household Income $50,000-$74,999Household Income $75,000-$99,999Household Income $100,000-$149,999Household Income $150,000-$199,999Household Income $200,000 or greaterThe source of data is Esri's 2018 Demographic estimates. For more information about Esri's demographic data, visit the Updated Demographics documentation.

  12. Total income groups by household living arrangements for persons not in...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Nov 8, 2023
    + more versions
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    Statistics Canada (2023). Total income groups by household living arrangements for persons not in economic families: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts [Dataset]. https://open.canada.ca/data/dataset/37853780-0687-4643-991f-0bf803619394
    Explore at:
    html, csv, 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

    Distribution of total income for persons not in economic families (living alone, living with non-relatives only) in constant 2020 dollars by age, gender, presence of earner, and year.

  13. u

    Census family total income group by census family structure: Canada,...

    • data.urbandatacentre.ca
    Updated Oct 1, 2024
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    (2024). Census family total income group by census family structure: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-0430a019-5c89-4cae-9f8c-9566c8c63ca8
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    Dataset updated
    Oct 1, 2024
    License

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

    Area covered
    Canada
    Description

    Distribution of census family total income in constant 2020 dollars by family structure (couples with and without children, male and female lone-parents families), family size, ages of members, and year.

  14. Distribution of households by household type - experimental statistics

    • ec.europa.eu
    Updated Jan 29, 2025
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    Eurostat (2025). Distribution of households by household type - experimental statistics [Dataset]. http://doi.org/10.2908/ICW_CAR_02
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    tsv, application/vnd.sdmx.genericdata+xml;version=2.1, json, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.data+xml;version=3.0.0, application/vnd.sdmx.data+csv;version=1.0.0Available download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2010 - 2020
    Area covered
    Romania, Poland, Germany, Denmark, Portugal, United Kingdom, Latvia, France, Bulgaria, Cyprus
    Description

    Income, consumption and wealth (ICW) statistics are experimental statistics computed by Eurostat through the statistical matching of three data sources: the EU Statistics on Income and Living Conditions (EU-SILC), the Household Budget Survey (HBS) and the Household Finance and Consumption Survey (HFCS). These statistics enable us to observe at the same time the income that households receive, their expenditures and their accumulated wealth.

    The annual collection of EU-SILC was launched in 2003 and is governed by Regulation 1700/2019 (previously: Regulation 1177/2003) of the European Parliament and of the Council. The EU-SILC collects cross-sectional and longitudinal information on income. HBS is a survey conducted every 5 years on the basis of an agreement between Eurostat, the Member States and EFTA countries. Data are collected using national questionnaires and, in most cases, expenditure diaries that respondents are asked to keep over a certain period of time. HFCS collects information on assets, liabilities, and to a limited extent income and consumption, of households. The survey is run by National Central Banks and coordinated by the European Central Bank.

    This page focuses on the main issues of importance for the use and interpretation of ICW statistics. Information on the primary data sources can be found on the respective EU-SILC and HBS metadata pages and following the links provided in the sections 'related metadata' and 'annexes' below.

    Experimental ICW statistics cover six topics: household economic resources, affordability of essential services, saving rates, poverty, household characteristics and taxation. Each topic contains several indicators with a number of different breakdowns, mainly by income quantile, by the age group of the household reference person, by household type, by the educational attainment level of the reference person, by the activity status of the reference person and by the degree of urbanization of the household. The indicators provide information on the joint distribution of income, consumption and wealth and the links between these three economic dimensions. They help to describe households' economic vulnerability and material well-being. They also help to explain the dynamics of wealth inequalities.

    All indicators are to be understood to describe households, not persons. Breakdowns by age group, educational attainment level and activity status refer to the household reference person, which is the person with the highest income. The only exception are the tables icw_pov_01, icw_pov_10, icw_pov_11 and icw_pov_12 for which the income, consumption and wealth of households have been equivalised such that equal shares were attributed to each household member. Values in tables icw_aff are calculated for households reporting non-zero values only.

    Note on table icw _res_01 and icw_res_02: The indicator “Households” [HH] in icw_res_01 shows the share of households in the selection, which hold the corresponding shares of total disposable income [INC_DISP], consumption expenditure [EXPN_CONS] and net wealth [WLTH_NET] of the entire population. In theory, turning two of the three dimensions [quant_inc, quant_expn, quant_wlth] to TOTAL and the third one to any quintile, should result into a share of 20% of households. Nevertheless, this share is often below or above 20% of the total population of households in the country. The reason for this is that our figures are based on sample surveys. This means that the share of households corresponds indeed to 20% of households in the sample, however when we multiply each household of the sample with its sampling weight, the resulting shares of households in the total population differ from the 20%. If, for example, we disregard the income and wealth of households in our sample, the first consumption quintile contains the 20% of households with lowest consumption in the sample. However, multiplying this selection of households with their corresponding sampling weights may result into a different share of the total population. The “Households” [HH] indicator indicates the real share of households in the population that make up the theoretical quintile.

  15. u

    Economic family total income group by economic family structure: Canada,...

    • data.urbandatacentre.ca
    Updated Sep 30, 2024
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    (2024). Economic family total income group by economic family structure: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-2ca65c14-710c-49ca-9da8-39566fc35549
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    Dataset updated
    Sep 30, 2024
    License

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

    Area covered
    Canada
    Description

    Distribution of economic family total income in 2020 constant dollars by family structure (couples, one-parent families, presence of children), family size, age of members, and number of earners.

  16. G

    Total income by economic family type, age group and income source

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Total income by economic family type, age group and income source [Dataset]. https://open.canada.ca/data/en/dataset/d39bdde2-7600-4677-b389-475a13af7376
    Explore at:
    xml, csv, htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

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

    Description

    Total income by age group and income source, economic family.

  17. Median saving rate by age of the reference person - experimental statistics

    • ec.europa.eu
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    Eurostat, Median saving rate by age of the reference person - experimental statistics [Dataset]. http://doi.org/10.2908/ICW_SR_01
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    application/vnd.sdmx.data+xml;version=3.0.0, application/vnd.sdmx.data+csv;version=1.0.0, tsv, json, application/vnd.sdmx.data+csv;version=2.0.0, application/vnd.sdmx.genericdata+xml;version=2.1Available download formats
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    License

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

    Time period covered
    2010 - 2020
    Area covered
    EA15-2008, EA13-2007, EA12-2001, EA18-2014, EA19-2015, Euro area (EA11-1999, EA20-2023), EA16-2009, EA17-2011, Austria, Malta, Ireland, Netherlands, France, Cyprus, Sweden, Italy, Denmark
    Description

    Income, consumption and wealth (ICW) statistics are experimental statistics computed by Eurostat through the statistical matching of three data sources: the EU Statistics on Income and Living Conditions (EU-SILC), the Household Budget Survey (HBS) and the Household Finance and Consumption Survey (HFCS). These statistics enable us to observe at the same time the income that households receive, their expenditures and their accumulated wealth.

    The annual collection of EU-SILC was launched in 2003 and is governed by Regulation 1700/2019 (previously: Regulation 1177/2003) of the European Parliament and of the Council. The EU-SILC collects cross-sectional and longitudinal information on income. HBS is a survey conducted every 5 years on the basis of an agreement between Eurostat, the Member States and EFTA countries. Data are collected using national questionnaires and, in most cases, expenditure diaries that respondents are asked to keep over a certain period of time. HFCS collects information on assets, liabilities, and to a limited extent income and consumption, of households. The survey is run by National Central Banks and coordinated by the European Central Bank.

    This page focuses on the main issues of importance for the use and interpretation of ICW statistics. Information on the primary data sources can be found on the respective EU-SILC and HBS metadata pages and following the links provided in the sections 'related metadata' and 'annexes' below.

    Experimental ICW statistics cover six topics: household economic resources, affordability of essential services, saving rates, poverty, household characteristics and taxation. Each topic contains several indicators with a number of different breakdowns, mainly by income quantile, by the age group of the household reference person, by household type, by the educational attainment level of the reference person, by the activity status of the reference person and by the degree of urbanization of the household. The indicators provide information on the joint distribution of income, consumption and wealth and the links between these three economic dimensions. They help to describe households' economic vulnerability and material well-being. They also help to explain the dynamics of wealth inequalities.

    All indicators are to be understood to describe households, not persons. Breakdowns by age group, educational attainment level and activity status refer to the household reference person, which is the person with the highest income. The only exception are the tables icw_pov_01, icw_pov_10, icw_pov_11 and icw_pov_12 for which the income, consumption and wealth of households have been equivalised such that equal shares were attributed to each household member. Values in tables icw_aff are calculated for households reporting non-zero values only.

    Note on table icw _res_01 and icw_res_02: The indicator “Households” [HH] in icw_res_01 shows the share of households in the selection, which hold the corresponding shares of total disposable income [INC_DISP], consumption expenditure [EXPN_CONS] and net wealth [WLTH_NET] of the entire population. In theory, turning two of the three dimensions [quant_inc, quant_expn, quant_wlth] to TOTAL and the third one to any quintile, should result into a share of 20% of households. Nevertheless, this share is often below or above 20% of the total population of households in the country. The reason for this is that our figures are based on sample surveys. This means that the share of households corresponds indeed to 20% of households in the sample, however when we multiply each household of the sample with its sampling weight, the resulting shares of households in the total population differ from the 20%. If, for example, we disregard the income and wealth of households in our sample, the first consumption quintile contains the 20% of households with lowest consumption in the sample. However, multiplying this selection of households with their corresponding sampling weights may result into a different share of the total population. The “Households” [HH] indicator indicates the real share of households in the population that make up the theoretical quintile.

  18. d

    10600-01-04-2 Number of households in Taichung City by gender and total...

    • data.gov.tw
    json
    Updated Aug 26, 2025
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    Budget, Accounting and Statistics Office, Taichung City Government (2025). 10600-01-04-2 Number of households in Taichung City by gender and total income of economic household heads group [Dataset]. https://data.gov.tw/en/datasets/113686
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    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    Dataset authored and provided by
    Budget, Accounting and Statistics Office, Taichung City Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taichung City
    Description

    Number of households in Taichung City by gender of head of economically responsible households and by total income group

  19. Distribution of total income by census family type and age of older partner,...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated Jul 18, 2025
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    Government of Canada, Statistics Canada (2025). Distribution of total income by census family type and age of older partner, parent or individual [Dataset]. http://doi.org/10.25318/1110001201-eng
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Families of tax filers; Distribution of total income by census family type and age of older partner, parent or individual (final T1 Family File; T1FF).

  20. Asset allocation of family offices worldwide 2024

    • statista.com
    • tokrwards.com
    Updated Aug 28, 2024
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    Statista Research Department (2024). Asset allocation of family offices worldwide 2024 [Dataset]. https://www.statista.com/topics/2282/private-wealth-management/
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    Dataset updated
    Aug 28, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Around half of the assets of family offices worldwide in 2024 were invested in equities. Public market equities accounted for around 30 percent of total asset allocation among institutional family offices worldwide, while private equity accounted for 21 percent of assets.

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Statista (2025). U.S. wealth distribution Q1 2025 [Dataset]. https://www.statista.com/statistics/203961/wealth-distribution-for-the-us/
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U.S. wealth distribution Q1 2025

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24 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 18, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In the first quarter of 2025, 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 was the country with the most billionaires in the world in 2025. Elon Musk, with a net worth of 342 billion U.S. dollars, was among the richest people in the United States in 2025. 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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