100+ datasets found
  1. G

    High income tax filers in Canada

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Oct 28, 2024
    + more versions
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    Statistics Canada (2024). High income tax filers in Canada [Dataset]. https://open.canada.ca/data/en/dataset/f0548ba7-7dd3-46a9-b8d4-01c3fc59ac0a
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    xml, csv, htmlAvailable download formats
    Dataset updated
    Oct 28, 2024
    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

    Area covered
    Canada
    Description

    This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

  2. F

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

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
    + more versions
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    (2025). Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBSTP1300
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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 Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBSTP1300) from Q3 1989 to Q1 2025 about shares, net worth, wealth, percentile, Net, and USA.

  3. U.S. household income lowest quintile versus top five percent 2023

    • statista.com
    Updated Sep 17, 2024
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    Statista (2024). U.S. household income lowest quintile versus top five percent 2023 [Dataset]. https://www.statista.com/statistics/203265/household-income-of-low-paid-and-high-paid-workers-in-the-us/
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    Dataset updated
    Sep 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Between 1990 and 2023, the mean household income for the low-paid workers in the lowest quintile went from 15,940 U.S. dollars in 1990 to 17,650 U.S. dollars in 2023, while the mean income of the top five percent increased from 285,000 U.S. dollars to 467,100 U.S. dollars over the same period. The income for this period has been adjusted to the 2023 U.S. dollar value.

  4. Table 3.1 Percentile points for total income before and after tax

    • gov.uk
    Updated Mar 12, 2025
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    HM Revenue & Customs (2025). Table 3.1 Percentile points for total income before and after tax [Dataset]. https://www.gov.uk/government/statistics/percentile-points-for-total-income-before-and-after-tax-1992-to-2011
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    The table only covers individuals who have some liability to Income Tax. The percentile points have been independently calculated on total income before tax and after tax.

    These statistics are classified as accredited official statistics.

    You can find more information about these statistics and collated tables for the latest and previous tax years on the Statistics about personal incomes page.

    Supporting documentation on the methodology used to produce these statistics is available in the release for each tax year.

    Note: comparisons over time may be affected by changes in methodology. Notably, there was a revision to the grossing factors in the 2018 to 2019 publication, which is discussed in the commentary and supporting documentation for that tax year. Further details, including a summary of significant methodological changes over time, data suitability and coverage, are included in the Background Quality Report.

  5. U.S. household income distribution 2023

    • statista.com
    Updated Sep 16, 2024
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    Statista (2024). U.S. household income distribution 2023 [Dataset]. https://www.statista.com/statistics/203183/percentage-distribution-of-household-income-in-the-us/
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

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

  6. F

    Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
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    (2024). Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA646N
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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

    Area covered
    United States
    Description

    Graph and download economic data for Median Personal Income in the United States (MEPAINUSA646N) from 1974 to 2023 about personal income, personal, median, income, and USA.

  7. F

    Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles)

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
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    (2025). Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBLTP1311
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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 Minimum Wealth Cutoff for the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBLTP1311) from Q3 1989 to Q3 2022 about wealth, percentile, and USA.

  8. F

    Share of Financial Assets Held by the Top 1% (99th to 100th Wealth...

    • fred.stlouisfed.org
    json
    Updated Jun 20, 2025
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    (2025). Share of Financial Assets Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBST01112
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

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

    Description

    Graph and download economic data for Share of Financial Assets Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01112) from Q3 1989 to Q1 2025 about wealth, percentile, financial, assets, and USA.

  9. H

    Data from: The Distribution of Top Incomes in Five Anglo-Saxon Countries...

    • dataverse.harvard.edu
    Updated Jul 23, 2013
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    Tony Atkinson; Andrew Leigh (2013). The Distribution of Top Incomes in Five Anglo-Saxon Countries Over the Long-Run [Dataset]. http://doi.org/10.7910/DVN/VJLFQV
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 23, 2013
    Dataset provided by
    Harvard Dataverse
    Authors
    Tony Atkinson; Andrew Leigh
    License

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

    Description

    Taking five Anglo-Saxon countries that have relatively similar backgrounds and tax systems – Australia, Canada, New Zealand, the UK, and the US – we see that the shares of the very richest exhibit a strikingly similar pattern, falling in the three decades after World War II, before rising sharply from the mid-1970s onwards. The share of the top 1 percent is highly correlated across Anglo-Saxon countries, more so than with the share of the next 4 percent. Controlling for country and year fixed effects, we find that a reduction in the marginal tax rate on wage income is associated with an increase in the share of the top percentile group. Likewise, a fall in the marginal tax rate on investment income (based on a lagged moving average) is associated with a rise in the share of the top percentile group.

  10. d

    National Tax Service_ Earned Income Percentile (thousandth percentile) data

    • data.go.kr
    csv
    Updated Jun 2, 2025
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    (2025). National Tax Service_ Earned Income Percentile (thousandth percentile) data [Dataset]. https://www.data.go.kr/en/data/15082063/fileData.do
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    csvAvailable download formats
    Dataset updated
    Jun 2, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    Employment income is generally income (salary, wages, compensation, taxes, bonuses, compensation for job inventions, etc.) received in return for providing labor, which is a non-independent personal service, through an employment relationship or a similar contract, and is distinguished from business income, other income, and retirement income. (Employment income) Payment received for providing labor through an employment relationship or a similar contract → Withholding tax according to the simplified tax table (Business income) Payment received for continuously providing services in an independent capacity without an employment relationship → Withholding tax of 3% of the income amount (Other income) Payment received for temporarily providing services → Withholding tax of 20% of the other income amount (income amount - necessary expenses) (Retirement income) Income paid due to actual retirement based on employer contributions, etc. → Withholding tax upon retirement Employment income percentile (top 1%, 1,000th percentile) data - Number of people - Total salary amount (100 million won) - Employment income amount (100 million won) - Income deduction amount (100 million won) (Employment income deduction + Personal deduction + Pension insurance premium deduction + Special income deduction + Other income deduction - Amount exceeding income deduction limit) - Taxable standard (100 million won) - Determined tax amount (100 million won) This is the value of the total employment income for each quintile, and is expressed in 0.1% units only within the top 1%.

  11. o

    Replication data for: Top 1 Percent Income Shares: Comparing Estimates Using...

    • openicpsr.org
    Updated May 1, 2019
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    Gerald Auten; David Splinter (2019). Replication data for: Top 1 Percent Income Shares: Comparing Estimates Using Tax Data [Dataset]. http://doi.org/10.3886/E116466V1
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    Dataset updated
    May 1, 2019
    Dataset provided by
    American Economic Association
    Authors
    Gerald Auten; David Splinter
    Description

    Many studies have used tax data to measure the U.S. income distribution, but their results vary widely. For example, in 2014 the top 1 percent share of income is 21.5 percent in Piketty and Saez (2003 and updates), 16.7 percent in the Congressional Budget Office (2018), and 13.1 percent in our analysis. What accounts for such large differences? We provide a step-by-step analysis of how methodological differences affect the results and address issues raised in Piketty, Saez, and Zucman (2018, 2019). Important differences include accounting for declining marriage rates, including social insurance and employer benefits, accounting for tax reforms, and including income missing from tax returns.

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

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

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

  13. Income of individuals by age group, sex and income source, Canada, provinces...

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated May 1, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas [Dataset]. http://doi.org/10.25318/1110023901-eng
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    Dataset updated
    May 1, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

  14. U.S. wealth distribution Q2 2024

    • statista.com
    • ai-chatbox.pro
    Updated Oct 29, 2024
    + more versions
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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.

  15. N

    Illinois annual income distribution by work experience and gender dataset...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Illinois annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2022) [Dataset]. https://www.neilsberg.com/research/datasets/23ca91c7-981b-11ee-99cf-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 9, 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
    Illinois
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Illinois. The dataset can be utilized to gain insights into gender-based income distribution within the Illinois population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Illinois, among individuals aged 15 years and older with income, there were 4.57 million men and 4.51 million women in the workforce. Among them, 2.58 million men were engaged in full-time, year-round employment, while 2.00 million women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 6.54% fell within the income range of under $24,999, while 9.50% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 29.19% of men in full-time roles earned incomes exceeding $100,000, while 17.91% of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

    https://i.neilsberg.com/ch/illinois-income-distribution-by-gender-and-employment-type.jpeg" alt="Illinois gender and employment-based income distribution analysis (Ages 15+)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 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 $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

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

    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 Illinois median household income by gender. You can refer the same here

  16. s

    Household income

    • ethnicity-facts-figures.service.gov.uk
    csv
    Updated Sep 5, 2022
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    Race Disparity Unit (2022). Household income [Dataset]. https://www.ethnicity-facts-figures.service.gov.uk/work-pay-and-benefits/pay-and-income/household-income/latest
    Explore at:
    csv(261 KB)Available download formats
    Dataset updated
    Sep 5, 2022
    Dataset authored and provided by
    Race Disparity Unit
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    In the 3 years to March 2021, black households were most likely out of all ethnic groups to have a weekly income of under £600.

  17. F

    Income Before Taxes: Wages and Salaries by Number of Earners: Consumer Units...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Income Before Taxes: Wages and Salaries by Number of Earners: Consumer Units of Two or More People, One Earner [Dataset]. https://fred.stlouisfed.org/series/CXU900000LB0705M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Description

    Graph and download economic data for Income Before Taxes: Wages and Salaries by Number of Earners: Consumer Units of Two or More People, One Earner (CXU900000LB0705M) from 1984 to 2023 about salaries, tax, wages, consumer, income, persons, and USA.

  18. F

    Checkable Deposits and Currency Held by the Top 1% (99th to 100th Wealth...

    • fred.stlouisfed.org
    json
    Updated Jun 29, 2022
    + more versions
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    (2022). Checkable Deposits and Currency Held by the Top 1% (99th to 100th Wealth Percentiles) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/WFRBLT01005
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 29, 2022
    License

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

    Description

    Graph and download economic data for Checkable Deposits and Currency Held by the Top 1% (99th to 100th Wealth Percentiles) (DISCONTINUED) (WFRBLT01005) from Q3 1989 to Q1 2022 about checkable, wealth, percentile, deposits, currency, and USA.

  19. Average income of the top percentile households in Israel 2013-2021

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Average income of the top percentile households in Israel 2013-2021 [Dataset]. https://www.statista.com/statistics/1497463/israel-annual-average-income-of-top-percentile-households/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Israel
    Description

    In 2021, the average income of households among Israel's highest one percent of earners, reached *** million Israeli shekels, about *** million U.S. dollars. Moreover, incomes peaked in 2017, due to a one-time tax incentive introduced by the government to release "trapped" capital gains tax. Overall, the average income of wealthy families in the country increased by ** percent between 2013 and 2021.

  20. N

    Michigan annual income distribution by work experience and gender dataset...

    • neilsberg.com
    csv, json
    Updated Jan 9, 2024
    + more versions
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    Neilsberg Research (2024). Michigan annual income distribution by work experience and gender dataset (Number of individuals ages 15+ with income, 2022) [Dataset]. https://www.neilsberg.com/research/datasets/23f39de0-981b-11ee-99cf-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 9, 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
    Michigan
    Variables measured
    Income for Male Population, Income for Female Population, Income for Male Population working full time, Income for Male Population working part time, Income for Female Population working full time, Income for Female Population working part time, Number of males working full time for a given income bracket, Number of males working part time for a given income bracket, Number of females working full time for a given income bracket, Number of females working part time for a given income bracket
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates. To portray the number of individuals for both the genders (Male and Female), within each income bracket we conducted an initial analysis and categorization of the American Community Survey data. Households are categorized, and median incomes are reported based on the self-identified gender of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Michigan. The dataset can be utilized to gain insights into gender-based income distribution within the Michigan population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Michigan, among individuals aged 15 years and older with income, there were 3.72 million men and 3.67 million women in the workforce. Among them, 1.94 million men were engaged in full-time, year-round employment, while 1.44 million women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 7.45% fell within the income range of under $24,999, while 11.49% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 24.99% of men in full-time roles earned incomes exceeding $100,000, while 13.02% of women in full-time positions earned within this income bracket.
    • Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

    https://i.neilsberg.com/ch/michigan-income-distribution-by-gender-and-employment-type.jpeg" alt="Michigan gender and employment-based income distribution analysis (Ages 15+)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2022 1-Year Estimates.

    Income brackets:

    • $1 to $2,499 or loss
    • $2,500 to $4,999
    • $5,000 to $7,499
    • $7,500 to $9,999
    • $10,000 to $12,499
    • $12,500 to $14,999
    • $15,000 to $17,499
    • $17,500 to $19,999
    • $20,000 to $22,499
    • $22,500 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 $54,999
    • $55,000 to $64,999
    • $65,000 to $74,999
    • $75,000 to $99,999
    • $100,000 or more

    Variables / Data Columns

    • Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
    • Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
    • Part-Time Males: The count of males employed part-time and earning within a specified income bracket
    • Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
    • Part-Time Females: The count of females employed part-time and earning within a specified income bracket

    Employment type classifications include:

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

    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 Michigan median household income by gender. You can refer the same here

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Statistics Canada (2024). High income tax filers in Canada [Dataset]. https://open.canada.ca/data/en/dataset/f0548ba7-7dd3-46a9-b8d4-01c3fc59ac0a

High income tax filers in Canada

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29 scholarly articles cite this dataset (View in Google Scholar)
xml, csv, htmlAvailable download formats
Dataset updated
Oct 28, 2024
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

Area covered
Canada
Description

This table presents income shares, thresholds, tax shares, and total counts of individual Canadian tax filers, with a focus on high income individuals (95% income threshold, 99% threshold, etc.). Income thresholds are based on national threshold values, regardless of selected geography; for example, the number of Nova Scotians in the top 1% will be calculated as the number of taxfiling Nova Scotians whose total income exceeded the 99% national income threshold. Different definitions of income are available in the table namely market, total, and after-tax income, both with and without capital gains.

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