72 datasets found
  1. F

    Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/graph/?g=nQLw
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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 from 1974 to 2023 about personal income, personal, median, income, and USA.

  2. M

    U.S. Median Personal Income (1974-2023)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Median Personal Income (1974-2023) [Dataset]. https://www.macrotrends.net/3292/us-median-personal-income
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1974 - 2023
    Area covered
    United States
    Description

    People 15 years old and over beginning with March 1980, and people 14 years old and over as of March of the following year for previous years.

  3. M

    U.S. Real Mean Personal Income (1974-2023)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Real Mean Personal Income (1974-2023) [Dataset]. https://www.macrotrends.net/4562/us-real-mean-personal-income
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1974 - 2023
    Area covered
    United States
    Description

    People 15 years old and over beginning with March 1980, and people 14 years old and over as of March of the following year for previous years.

  4. Recent College Graduates Survey, 1974-1975: [United States]

    • icpsr.umich.edu
    ascii, sas, spss
    Updated Dec 22, 2000
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    United States Department of Education. National Center for Education Statistics (2000). Recent College Graduates Survey, 1974-1975: [United States] [Dataset]. http://doi.org/10.3886/ICPSR06376.v1
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    sas, spss, asciiAvailable download formats
    Dataset updated
    Dec 22, 2000
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Education. National Center for Education Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6376/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6376/terms

    Time period covered
    1974 - 1975
    Area covered
    United States
    Description

    The Recent College Graduates (RCG) survey estimates the potential supply of newly qualified teachers in the United States and explores the immediate post-degree employment and education experiences of individuals obtaining bachelor's or master's degrees from American colleges and universities. The RCG survey, which focuses heavily, but not exclusively, on those graduates qualified to teach at the elementary and secondary levels, is designed to meet the following objectives: (1) to determine how many graduates become eligible or qualified to teach for the first time and how many are employed as teachers in the year following graduation, by teaching field, (2) to examine the relationships among courses taken, student achievement, and occupational outcomes, and (3) to monitor unemployment rates and average salaries of graduates by field of study. The RCG survey collects information on education and employment of all graduates (date of graduation, field of study, whether newly qualified to teach, further enrollment, financial aid, employment status, and teacher employment characteristics) as well as standard demographic characteristics such as earnings, age, marital status, sex, and race/ethnicity.

  5. F

    Mean Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Mean Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MAPAINUSA646N
    Explore at:
    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 Mean Personal Income in the United States (MAPAINUSA646N) from 1974 to 2023 about average, personal income, personal, income, and USA.

  6. Median weekly earnings of Australian employees 1975-2023

    • statista.com
    Updated Mar 12, 2024
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    Statista (2024). Median weekly earnings of Australian employees 1975-2023 [Dataset]. https://www.statista.com/statistics/1404848/australia-median-weekly-earnings-of-employees-timeline/
    Explore at:
    Dataset updated
    Mar 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 1975 - Aug 2023
    Area covered
    Australia
    Description

    As of August 2023, the median weekly earnings of employees in Australia were 1,300 Australian dollars. Since August 1975, the median weekly earnings of employees in Australia have increased more than ten-fold.

  7. T

    Median Personal Income in the United States

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2020
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    TRADING ECONOMICS (2020). Median Personal Income in the United States [Dataset]. https://tradingeconomics.com/united-states/median-personal-income-in-the-united-states-fed-data.html
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 12, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Median Personal Income in the United States was 42220.00000 Current $ in January of 2023, according to the United States Federal Reserve. Historically, Median Personal Income in the United States reached a record high of 42220.00000 in January of 2023 and a record low of 5335.00000 in January of 1974. Trading Economics provides the current actual value, an historical data chart and related indicators for Median Personal Income in the United States - last updated from the United States Federal Reserve on July of 2025.

  8. M

    Real Median Personal Income (1974-2023)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Real Median Personal Income (1974-2023) [Dataset]. https://www.macrotrends.net/3062/real-median-personal-income
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1974 - 2023
    Area covered
    United States
    Description

    People 15 years old and over beginning with March 1980, and people 14 years old and over as of March of the following year for previous years.

  9. F

    Real Mean Personal Income in Northeast Census Region

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Real Mean Personal Income in Northeast Census Region [Dataset]. https://fred.stlouisfed.org/series/MAPAINUSNEA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

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

    Description

    Graph and download economic data for Real Mean Personal Income in Northeast Census Region (MAPAINUSNEA672N) from 1974 to 2023 about Northeast Census Region, average, personal income, personal, income, real, and USA.

  10. T

    Thailand Daily Minimum Wage: Northern: Mae Hong Son

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Thailand Daily Minimum Wage: Northern: Mae Hong Son [Dataset]. https://www.ceicdata.com/en/thailand/daily-minimum-wage/daily-minimum-wage-northern-mae-hong-son
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Thailand
    Variables measured
    Wage/Earnings
    Description

    Thailand Daily Minimum Wage: Northern: Mae Hong Son data was reported at 310.000 THB in Oct 2018. This stayed constant from the previous number of 310.000 THB for Sep 2018. Thailand Daily Minimum Wage: Northern: Mae Hong Son data is updated monthly, averaging 128.000 THB from Oct 1974 (Median) to Oct 2018, with 529 observations. The data reached an all-time high of 310.000 THB in Oct 2018 and a record low of 16.000 THB in Sep 1977. Thailand Daily Minimum Wage: Northern: Mae Hong Son data remains active status in CEIC and is reported by Ministry of Labour. The data is categorized under Global Database’s Thailand – Table TH.G008: Daily Minimum Wage.

  11. T

    Taiwan FIES: Avg Personal Income

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan FIES: Avg Personal Income [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies-avg-personal-income
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: Avg Personal Income data was reported at 1,253,389.053 NTD in 2016. This records an increase from the previous number of 1,224,599.695 NTD for 2015. Taiwan FIES: Avg Personal Income data is updated yearly, averaging 1,029,053.383 NTD from Dec 1974 (Median) to 2016, with 43 observations. The data reached an all-time high of 1,253,389.053 NTD in 2016 and a record low of 101,110.000 NTD in 1974. Taiwan FIES: Avg Personal Income data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  12. g

    Verteilung und Schichtung der Einkommen der privaten Haushalte in der...

    • search.gesis.org
    • datacatalogue.cessda.eu
    • +2more
    Updated Apr 13, 2010
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    Göseke, Gerhard; Bedau, Klaus-Dietrich (2010). Verteilung und Schichtung der Einkommen der privaten Haushalte in der Bundesrepublik Deutschland von 1950 bis 1970 [Dataset]. http://doi.org/10.4232/1.8192
    Explore at:
    (87942)Available download formats
    Dataset updated
    Apr 13, 2010
    Dataset provided by
    GESIS search
    GESIS Data Archive
    Authors
    Göseke, Gerhard; Bedau, Klaus-Dietrich
    License

    https://www.gesis.org/en/institute/data-usage-termshttps://www.gesis.org/en/institute/data-usage-terms

    Time period covered
    1950 - 1970
    Area covered
    Germany
    Description

    Aim of the study is to render the income distribution and income stratification in the Federal Republic of Germany (FRG) form 1950 to 1970.

    Topics: Tabulations in Online-Database HISTAT (Historical Statistics):

    A. Synopses A.01 Sources of liquid income in percent (1950-1970) A.02 Personal income distribution in percent (1950-1970) A.03 Distribution of household-income in percent (1950-1970) A.04 Average income per household on social position of head of the household, Index (1950-1970) A.05 Distribution of private households on incomg-groups (1950-1970) A.06 Distribution of private households on size of household and incomg-group (1950-1970) A.07 Average yearly income per household in DM (1950-1970) A.08 Distribution of private households on number of persons receiving income and on income groups (1950-1970)

    B. Development of functional and personal income B.01a Private households on household size and social position of head of the household in FRG in thousand (1950-1970) B.01b Private households on social position of head of the household and on income-receive in FRG in thousand (1950-1970) B.02 Development of household income in FRG in billions DM (1950-1970) B.03a Net-total income of the entire private households in the FRG im billions DM (1950-1970) B.03b Net-average income of the entire privat households in the FRG in DM (1950-1970)

    C. Number of Net-income of private households C.01a Number of net-income of the entire private households in the FRG on income groups (1950-1970) C.01b Number of net-income of Self-Employed households in the FRG on income groups (1950-1970) C.01c Number of net-income of white-collar worker households in the FRG on income groups (1950-1970) C.01d Number of net-income of blue-collar worker households in the FRG on income groups (1950-1970) C.01e Number of net-income of retiree households in the FRG on income groups (1950-1970) C.02 Number of Households in the FRG on constant income groups in thousand (1950-1970) C.03 Net-annuity of housholds in the FRG on constant income groups in billions DM (1950-1970)

    Z. Compendious statistical value schedules (1950-1985) Z.01 Statistical values of stratification of private household´s net-annuity and of families´ net-annuity on social groups (1950-1985) Z.02 Average monthly household income on social groups (1950-1974)

  13. Thailand Daily Minimum Wage: Southern: Yala

    • ceicdata.com
    Updated Jul 15, 2018
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    CEICdata.com (2018). Thailand Daily Minimum Wage: Southern: Yala [Dataset]. https://www.ceicdata.com/en/thailand/daily-minimum-wage/daily-minimum-wage-southern-yala
    Explore at:
    Dataset updated
    Jul 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Thailand
    Variables measured
    Wage/Earnings
    Description

    Thailand Daily Minimum Wage: Southern: Yala data was reported at 308.000 THB in Nov 2018. This stayed constant from the previous number of 308.000 THB for Oct 2018. Thailand Daily Minimum Wage: Southern: Yala data is updated monthly, averaging 128.000 THB from Oct 1974 (Median) to Nov 2018, with 530 observations. The data reached an all-time high of 308.000 THB in Nov 2018 and a record low of 18.000 THB in Sep 1977. Thailand Daily Minimum Wage: Southern: Yala data remains active status in CEIC and is reported by Ministry of Labour. The data is categorized under Global Database’s Thailand – Table TH.G008: Daily Minimum Wage.

  14. Thailand Daily Minimum Wage: Northeastern: Roi Et

    • ceicdata.com
    Updated Jul 15, 2018
    + more versions
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    CEICdata.com (2018). Thailand Daily Minimum Wage: Northeastern: Roi Et [Dataset]. https://www.ceicdata.com/en/thailand/daily-minimum-wage/daily-minimum-wage-northeastern-roi-et
    Explore at:
    Dataset updated
    Jul 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Thailand
    Variables measured
    Wage/Earnings
    Description

    Thailand Daily Minimum Wage: Northeastern: Roi Et data was reported at 310.000 THB in Oct 2018. This stayed constant from the previous number of 310.000 THB for Sep 2018. Thailand Daily Minimum Wage: Northeastern: Roi Et data is updated monthly, averaging 128.000 THB from Oct 1974 (Median) to Oct 2018, with 529 observations. The data reached an all-time high of 310.000 THB in Oct 2018 and a record low of 16.000 THB in Sep 1977. Thailand Daily Minimum Wage: Northeastern: Roi Et data remains active status in CEIC and is reported by Ministry of Labour. The data is categorized under Global Database’s Thailand – Table TH.G008: Daily Minimum Wage.

  15. N

    Oak Park Heights, MN annual income distribution by work experience and...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). Oak Park Heights, MN annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/oak-park-heights-mn-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Oak Park Heights, Minnesota
    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) 2019-2023 5-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 Oak Park Heights. The dataset can be utilized to gain insights into gender-based income distribution within the Oak Park Heights population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Oak Park Heights, among individuals aged 15 years and older with income, there were 1,572 men and 1,974 women in the workforce. Among them, 738 men were engaged in full-time, year-round employment, while 525 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 3.93% fell within the income range of under $24,999, while 1.33% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 38.62% of men in full-time roles earned incomes exceeding $100,000, while 41.90% 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)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-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 Oak Park Heights median household income by race. You can refer the same here

  16. N

    Choctaw County, OK annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Cite
    Neilsberg Research (2025). Choctaw County, OK annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/choctaw-county-ok-income-by-gender/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Choctaw County, Oklahoma
    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) 2019-2023 5-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 Choctaw County. The dataset can be utilized to gain insights into gender-based income distribution within the Choctaw County population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within Choctaw County, among individuals aged 15 years and older with income, there were 4,766 men and 5,032 women in the workforce. Among them, 2,080 men were engaged in full-time, year-round employment, while 1,974 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 10.24% fell within the income range of under $24,999, while 21.28% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 15.67% of men in full-time roles earned incomes exceeding $100,000, while 4.96% 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)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-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 Choctaw County median household income by race. You can refer the same here

  17. F

    Real Median Personal Income in West Census Region

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
    + more versions
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    (2024). Real Median Personal Income in West Census Region [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSWEA672N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

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

    Description

    Graph and download economic data for Real Median Personal Income in West Census Region (MEPAINUSWEA672N) from 1974 to 2023 about West Census Region, personal income, personal, median, income, real, and USA.

  18. N

    San Anselmo, CA annual income distribution by work experience and gender...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
    + more versions
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    Neilsberg Research (2025). San Anselmo, CA annual income distribution by work experience and gender dataset: Number of individuals ages 15+ with income, 2023 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/san-anselmo-ca-income-by-gender/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 27, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    San Anselmo, California
    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) 2019-2023 5-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 San Anselmo. The dataset can be utilized to gain insights into gender-based income distribution within the San Anselmo population, aiding in data analysis and decision-making..

    Key observations

    • Employment patterns: Within San Anselmo, among individuals aged 15 years and older with income, there were 4,675 men and 4,591 women in the workforce. Among them, 2,562 men were engaged in full-time, year-round employment, while 1,974 women were in full-time, year-round roles.
    • Annual income under $24,999: Of the male population working full-time, 0.74% fell within the income range of under $24,999, while 7.55% of the female population working full-time was represented in the same income bracket.
    • Annual income above $100,000: 75.45% of men in full-time roles earned incomes exceeding $100,000, while 60.99% 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)
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-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 San Anselmo median household income by race. You can refer the same here

  19. T

    Taiwan FIES: Avg Personal Income: Compensation of Employees

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan FIES: Avg Personal Income: Compensation of Employees [Dataset]. https://www.ceicdata.com/en/taiwan/family-income-and-expenditure-survey-directorate-general-of-budget-accounting-and-statistics/fies-avg-personal-income-compensation-of-employees
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    Taiwan
    Variables measured
    Household Income and Expenditure Survey
    Description

    Taiwan FIES: Avg Personal Income: Compensation of Employees data was reported at 695,838.054 NTD in 2017. This records an increase from the previous number of 674,344.020 NTD for 2016. Taiwan FIES: Avg Personal Income: Compensation of Employees data is updated yearly, averaging 574,970.010 NTD from Dec 1974 (Median) to 2017, with 44 observations. The data reached an all-time high of 695,838.054 NTD in 2017 and a record low of 60,984.000 NTD in 1974. Taiwan FIES: Avg Personal Income: Compensation of Employees data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.H019: Family Income and Expenditure Survey: Directorate General of Budget, Accounting and Statistics.

  20. Construction union wage rates, monthly, inactive

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Oct 25, 2018
    + more versions
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    Government of Canada, Statistics Canada (2018). Construction union wage rates, monthly, inactive [Dataset]. http://doi.org/10.25318/1810004601-eng
    Explore at:
    Dataset updated
    Oct 25, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Construction union wage rates (CUWR) by National Occupational Classification (NOC). Monthly data are available from January 1971. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2007=100).

Share
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Email
Click to copy link
Link copied
Close
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(2024). Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/graph/?g=nQLw

Median Personal Income in the United States

MEPAINUSA646N

Explore at:
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 from 1974 to 2023 about personal income, personal, median, income, and USA.

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