100+ datasets found
  1. U.S. median household income 2024, by race and ethnicity

    • statista.com
    Updated Jul 14, 2025
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    Abigail Tierney (2025). U.S. median household income 2024, by race and ethnicity [Dataset]. https://www.statista.com/topics/789/wages-and-salary/
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    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Abigail Tierney
    Area covered
    United States
    Description

    Asian households measured the highest median household income among racial and ethnic groups in the United States. In 2024, Asian household incomes reached a median of 121,700 U.S. dollars. On the other hand, Black households had the lowest median income of 56,020 U.S. dollars. Overall, median household incomes in the United States stood at 83,730 U.S. dollars that year.Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, African American, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. nearing nine percent unemployed, according to the Bureau of Labor Statistics in 2024. Hispanic individuals (of any race) were most likely to go without health insurance as of 2024.

  2. U.S. wage and salary accruals 2023, by industry

    • statista.com
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    Statista, U.S. wage and salary accruals 2023, by industry [Dataset]. https://www.statista.com/statistics/243834/annual-mean-wages-and-salary-per-employee-in-the-us-by-industry/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the average wage and salary per full-time equivalent employee in the mining industry in the United States was at 126,707 U.S. dollars. The highest wage and salary per FTE was found in the information industry, at 164,400 U.S. dollars.

  3. Average annual wages in selected countries in Europe 2024

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Average annual wages in selected countries in Europe 2024 [Dataset]. https://www.statista.com/statistics/557777/average-annual-salaries-in-europe/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    Luxembourg had the highest average annual wage in Europe in 2024, at approximately ****** U.S. dollars when adjusting for purchasing power parity (PPP). Greece, which had an average annual salary of less than *******U.S dollars a year, had the lowest among the countries provided in this statistic.

  4. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: High School graduates, no college: 25 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0252917300A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: High School graduates, no college: 25 years and over (LEU0252917300A) from 1979 to 2024 about no college, second quartile, secondary schooling, secondary, 25 years +, full-time, salaries, workers, earnings, education, wages, median, employment, and USA.

  5. N

    Norway, IA annual median income by work experience and sex dataset: Aged...

    • neilsberg.com
    csv, json
    Updated Feb 27, 2025
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    Neilsberg Research (2025). Norway, IA annual median income by work experience and sex dataset: Aged 15+, 2010-2023 (in 2023 inflation-adjusted dollars) // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/norway-ia-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
    Iowa, Norway
    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
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 5-Year Estimates. The dataset covers the years 2010 to 2023, representing 14 years of data. To analyze income differences between genders (male and female), we conducted an initial data analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series (R-CPI-U-RS) based on current methodologies. 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 median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Norway. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

    Key observations: Insights from 2023

    Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Norway, the median income for all workers aged 15 years and older, regardless of work hours, was $49,167 for males and $38,750 for females.

    These income figures indicate a substantial gender-based pay disparity, showcasing a gap of approximately 21% between the median incomes of males and females in Norway. With women, regardless of work hours, earning 79 cents to each dollar earned by men, this income disparity reveals a concerning trend toward wage inequality that demands attention in thecity of Norway.

    - Full-time workers, aged 15 years and older: In Norway, among full-time, year-round workers aged 15 years and older, males earned a median income of $63,333, while females earned $38,750, leading to a 39% gender pay gap among full-time workers. This illustrates that women earn 61 cents for each dollar earned by men in full-time roles. This level of income gap emphasizes the urgency to address and rectify this ongoing disparity, where women, despite working full-time, face a more significant wage discrepancy compared to men in the same employment roles.

    Remarkably, across all roles, including non-full-time employment, women displayed a lower gender pay gap percentage. This indicates that Norway offers better opportunities for women in non-full-time positions.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Gender classifications include:

    • Male
    • Female

    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.

    Variables / Data Columns

    • Year: This column presents the data year. Expected values are 2010 to 2023
    • Male Total Income: Annual median income, for males regardless of work hours
    • Male FT Income: Annual median income, for males working full time, year-round
    • Male PT Income: Annual median income, for males working part time
    • Female Total Income: Annual median income, for females regardless of work hours
    • Female FT Income: Annual median income, for females working full time, year-round
    • Female PT Income: Annual median income, for females working part time

    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 Norway median household income by race. You can refer the same here

  6. Employment income statistics by major field of study (detailed, 4-digit) and...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Oct 4, 2023
    + more versions
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    Government of Canada, Statistics Canada (2023). Employment income statistics by major field of study (detailed, 4-digit) and highest level of education: Canada, provinces and territories [Dataset]. http://doi.org/10.25318/9810040901-eng
    Explore at:
    Dataset updated
    Oct 4, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Employment income (in 2019 and 2020) by detailed major field of study and highest certificate, diploma or degree, including work activity (full time full year, part time full year, or part year).

  7. Employee wages by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 24, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employee wages by industry, annual [Dataset]. http://doi.org/10.25318/1410006401-eng
    Explore at:
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

  8. Employee Salaries Analysis

    • kaggle.com
    zip
    Updated Jun 23, 2024
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    Sahir Maharaj (2024). Employee Salaries Analysis [Dataset]. https://www.kaggle.com/datasets/sahirmaharajj/employee-salaries-analysis
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    zip(102916 bytes)Available download formats
    Dataset updated
    Jun 23, 2024
    Authors
    Sahir Maharaj
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2023. This dataset is a prime candidate for conducting analyses on salary disparities, the relationship between department/division and salary, and the distribution of salaries across gender and grade levels.

    Statistical models can be applied to predict base salaries based on factors such as department, grade, and length of service. Machine learning techniques could also be employed to identify patterns and anomalies in the salary data, such as outliers or instances of significant inequity.

    Some analysis to be performed with this dataset can include:

    • Gender Pay Gap Analysis: An examination of salary differences between genders within similar roles, grades, and departments to identify any disparities that need to be addressed.
    • Departmental Salary Analysis: Analyzing the distribution of salaries across different departments and divisions to understand how compensation varies within the organization.
    • Impact of Overtime and Longevity Pay: Evaluating how overtime and longevity pay contribute to the overall compensation of employees and identifying trends or patterns in these payments. ​
  9. Countries with the lowest average monthly salaries worldwide 2023

    • statista.com
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    Statista, Countries with the lowest average monthly salaries worldwide 2023 [Dataset]. https://www.statista.com/statistics/1338777/average-monthly-salaries-countries-lowest-worldwide/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of 2023, Rwanda had the lowest average monthly salary of employees in the world in terms of purchasing power parities (PPP), which takes the average cost of living in a country into account. Gambia had the second lowest average wages, with Ethiopia in third. Of the 20 countries with the lowest average salaries in the world, 17 were located in Africa. On the other hand, Luxembourg had the highest average monthly salaries of employees.

  10. Earnings and hours worked, age group: ASHE Table 6

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Oct 23, 2025
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    Office for National Statistics (2025). Earnings and hours worked, age group: ASHE Table 6 [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/agegroupashetable6
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 23, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Annual estimates of paid hours worked and earnings for UK employees by sex, and full-time and part-time, by age group.

  11. Average weekly earnings by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Mar 27, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Average weekly earnings by industry, annual [Dataset]. http://doi.org/10.25318/1410020401-eng
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.

  12. N

    Arizona Median Income by Age Groups Dataset: A Comprehensive Breakdown of...

    • neilsberg.com
    csv, json
    Updated Aug 7, 2024
    + more versions
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    Neilsberg Research (2024). Arizona Median Income by Age Groups Dataset: A Comprehensive Breakdown of Arizona Annual Median Income Across 4 Key Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/a3c00bc4-54ae-11ef-a42e-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Aug 7, 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
    Arizona
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 distribution of median household income among distinct age brackets of householders in Arizona. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Arizona. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2022

    In terms of income distribution across age cohorts, in Arizona, householders within the 45 to 64 years age group have the highest median household income at $91,469, followed by those in the 25 to 44 years age group with an income of $83,527. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $59,211. Notably, householders within the under 25 years age group, had the lowest median household income at $46,924.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific age group

    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 Arizona median household income by age. You can refer the same here

  13. F

    Employed full time: Wage and salary workers: Less than a High School...

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Less than a High School diploma: 25 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0252920400Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Less than a High School diploma: 25 years and over: Men (LEU0252920400Q) from Q1 2000 to Q2 2025 about secondary schooling, secondary, 25 years +, full-time, males, salaries, workers, education, wages, employment, and USA.

  14. T

    United States - Wage and Salary Workers Paid at Prevailing Federal Minimum...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 29, 2020
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    TRADING ECONOMICS (2020). United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 4 Years of High School, no Diploma [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-workers-paid-at-prevailing-federal-minimum-wage-16-years-and-over-4-years-of-high-school-no-diploma-fed-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 29, 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

    United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 4 Years of High School, no Diploma was 0.10000 % of Total Paid Hourly Rate in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 4 Years of High School, no Diploma reached a record high of 5.40000 in January of 2012 and a record low of 0.10000 in January of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 4 Years of High School, no Diploma - last updated from the United States Federal Reserve on December of 2025.

  15. T

    United States Average Hourly Wages

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United States Average Hourly Wages [Dataset]. https://tradingeconomics.com/united-states/wages
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Sep 15, 2025
    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 31, 1964 - Aug 31, 2025
    Area covered
    United States
    Description

    Wages in the United States increased to 31.46 USD/Hour in August from 31.34 USD/Hour in July of 2025. This dataset provides - United States Average Hourly Wages - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. T

    Poland Corporative Sector Wage Growth

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 24, 2025
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    TRADING ECONOMICS (2025). Poland Corporative Sector Wage Growth [Dataset]. https://tradingeconomics.com/poland/wage-growth
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Nov 24, 2025
    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 31, 2006 - Oct 31, 2025
    Area covered
    Poland
    Description

    Wages in Poland increased 6.60 percent in October of 2025 over the same month in the previous year. This dataset provides - Poland Wage Growth- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. T

    United States - Wage and Salary Workers Paid at or Below Prevailing Federal...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 26, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-workers-paid-at-or-below-prevailing-federal-minimum-wage-16-years-and-over-high-school-graduates-or-more-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Aug 26, 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

    United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more was 83.60000 % of Total Paid At or Below Minimum Wage in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more reached a record high of 88.30000 in January of 2022 and a record low of 66.90000 in January of 2002. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more - last updated from the United States Federal Reserve on December of 2025.

  18. T

    United States - Wage and Salary Workers Paid at or Below Prevailing Federal...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 2, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-workers-paid-at-or-below-prevailing-federal-minimum-wage-16-years-and-over-high-school-graduates-or-more-percent-of-total-paid-hourly-rate-fed-data.html
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 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

    United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more was 1.00000 % of Total Paid Hourly Rate in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more reached a record high of 4.90000 in January of 2010 and a record low of 1.00000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and Salary Workers Paid at or Below Prevailing Federal Minimum Wage: 16 Years and Over: High School Graduates or more - last updated from the United States Federal Reserve on November of 2025.

  19. T

    United States - Wage and Salary Workers Paid at Prevailing Federal Minimum...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 26, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 1 to 3 Years of High School [Dataset]. https://tradingeconomics.com/united-states/wage-and-salary-workers-paid-at-prevailing-federal-minimum-wage-16-years-and-over-1-to-3-years-of-high-school-thous-of-persons-fed-data.html
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    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Aug 26, 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

    United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 1 to 3 Years of High School was 22.00000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 1 to 3 Years of High School reached a record high of 476.00000 in January of 2010 and a record low of 22.00000 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Wage and Salary Workers Paid at Prevailing Federal Minimum Wage: 16 Years and Over: 1 to 3 Years of High School - last updated from the United States Federal Reserve on November of 2025.

  20. N

    United States Median Income by Age Groups Dataset: A Comprehensive Breakdown...

    • neilsberg.com
    csv, json
    Updated Feb 25, 2025
    + more versions
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    Neilsberg Research (2025). United States Median Income by Age Groups Dataset: A Comprehensive Breakdown of United States Annual Median Income Across 4 Key Age Groups // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/united-states-median-household-income-by-age/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 25, 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
    United States
    Variables measured
    Income for householder under 25 years, Income for householder 65 years and over, Income for householder between 25 and 44 years, Income for householder between 45 and 64 years
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across four age groups (Under 25 years, 25 to 44 years, 45 to 64 years, and 65 years and over) following an initial analysis and categorization. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). 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 distribution of median household income among distinct age brackets of householders in United States. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in United States. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

    Key observations: Insights from 2023

    In terms of income distribution across age cohorts, in United States, householders within the 45 to 64 years age group have the highest median household income at $94,847, followed by those in the 25 to 44 years age group with an income of $87,575. Meanwhile householders within the 65 years and over age group report the second lowest median household income of $57,108. Notably, householders within the under 25 years age group, had the lowest median household income at $43,534.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

    Age groups classifications include:

    • Under 25 years
    • 25 to 44 years
    • 45 to 64 years
    • 65 years and over

    Variables / Data Columns

    • Age Of The Head Of Household: This column presents the age of the head of household
    • Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

    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 by age. You can refer the same here

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Abigail Tierney (2025). U.S. median household income 2024, by race and ethnicity [Dataset]. https://www.statista.com/topics/789/wages-and-salary/
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U.S. median household income 2024, by race and ethnicity

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3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jul 14, 2025
Dataset provided by
Statistahttp://statista.com/
Authors
Abigail Tierney
Area covered
United States
Description

Asian households measured the highest median household income among racial and ethnic groups in the United States. In 2024, Asian household incomes reached a median of 121,700 U.S. dollars. On the other hand, Black households had the lowest median income of 56,020 U.S. dollars. Overall, median household incomes in the United States stood at 83,730 U.S. dollars that year.Asian and Caucasian (white not Hispanic) households had relatively high median incomes, while the median income of Hispanic, African American, American Indian, and Alaskan Native households all came in lower than the national median. A number of related statistics illustrate further the current state of racial inequality in the United States. Unemployment is highest among Black or African American individuals in the U.S. nearing nine percent unemployed, according to the Bureau of Labor Statistics in 2024. Hispanic individuals (of any race) were most likely to go without health insurance as of 2024.

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