100+ datasets found
  1. U.S. median annual wage 2023, by major occupational group

    • statista.com
    Updated Aug 27, 2024
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    Statista (2024). U.S. median annual wage 2023, by major occupational group [Dataset]. https://www.statista.com/statistics/218235/median-annual-wage-in-the-us-by-major-occupational-groups/
    Explore at:
    Dataset updated
    Aug 27, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023
    Area covered
    United States
    Description

    As of 2023, the median wage for employees in healthcare support occupations was about 36,140 U.S. dollars. The occupational group with the highest annual median wage was management occupations. Mean wages for the same occupational groups can be accessed here.

  2. EARN06: Gross weekly earnings by occupation

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated May 13, 2025
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    Office for National Statistics (2025). EARN06: Gross weekly earnings by occupation [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/grossweeklyearningsbyoccupationearn06
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    xlsAvailable download formats
    Dataset updated
    May 13, 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

    Gross weekly and hourly earnings by level of occupation, UK, quarterly, not seasonally adjusted. Labour Force Survey. These are official statistics in development.

  3. Salaries in the IT industry in the U.S. 2023-2024, by occupation

    • statista.com
    Updated Feb 6, 2025
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    Statista (2025). Salaries in the IT industry in the U.S. 2023-2024, by occupation [Dataset]. https://www.statista.com/statistics/1293871/us-salaries-in-the-it-industry-by-job-type/
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 30, 2024 - Nov 6, 2024
    Area covered
    United States
    Description

    In 2024, people working in IT management in the United States, earned an average annual salary worth around 168 thousand U.S. dollars. Software developers and project managers all reported being paid on average over 120 thousand U.S. dollars. Despite nearly all categories saw a year-on-year increase in annual compensation, IT support and help desk technicians saw a decrease compared to the previous year

  4. Occupational Employment and Wage Statistics (OES)

    • catalog.data.gov
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Occupational Employment and Wage Statistics (OES) [Dataset]. https://catalog.data.gov/dataset/occupational-employment-and-wage-statistics-oes
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Occupational Employment and Wage Statistics (OES) program conducts a semi-annual survey to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates by geographic area and by industry. Estimates based on geographic areas are available at the National, State, Metropolitan, and Nonmetropolitan Area levels. The Bureau of Labor Statistics produces occupational employment and wage estimates for over 450 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and 5-digit North American Industry Classification System (NAICS) industrial groups. More information and details about the data provided can be found at http://www.bls.gov/oes

  5. F

    Expenditures: Total Average Annual Expenditures by Occupation: Wage and...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Expenditures: Total Average Annual Expenditures by Occupation: Wage and Salary Earners: Service Workers [Dataset]. https://fred.stlouisfed.org/series/CXUTOTALEXPLB1206M
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    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 Expenditures: Total Average Annual Expenditures by Occupation: Wage and Salary Earners: Service Workers (CXUTOTALEXPLB1206M) from 1984 to 2023 about occupation, salaries, workers, average, expenditures, wages, services, and USA.

  6. Employee wages by occupation, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jan 24, 2025
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    Government of Canada, Statistics Canada (2025). Employee wages by occupation, annual [Dataset]. http://doi.org/10.25318/1410041701-eng
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by National Occupational Classification (NOC), type of work, gender, and age group.

  7. T

    Vital Signs: Jobs by Wage Level - Subregion

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 18, 2019
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    (2019). Vital Signs: Jobs by Wage Level - Subregion [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Jobs-by-Wage-Level-Subregion/yc3r-a4rh
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    json, xml, csv, application/rdfxml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Jan 18, 2019
    Description

    VITAL SIGNS INDICATOR Jobs by Wage Level (EQ1)

    FULL MEASURE NAME Distribution of jobs by low-, middle-, and high-wage occupations

    LAST UPDATED January 2019

    DESCRIPTION Jobs by wage level refers to the distribution of jobs by low-, middle- and high-wage occupations. In the San Francisco Bay Area, low-wage occupations have a median hourly wage of less than 80% of the regional median wage; median wages for middle-wage occupations range from 80% to 120% of the regional median wage, and high-wage occupations have a median hourly wage above 120% of the regional median wage.

    DATA SOURCE California Employment Development Department OES (2001-2017) http://www.labormarketinfo.edd.ca.gov/data/oes-employment-and-wages.html

    American Community Survey (2001-2017) http://api.census.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Jobs are determined to be low-, middle-, or high-wage based on the median hourly wage of their occupational classification in the most recent year. Low-wage jobs are those that pay below 80% of the regional median wage. Middle-wage jobs are those that pay between 80% and 120% of the regional median wage. High-wage jobs are those that pay above 120% of the regional median wage. Regional median hourly wages are estimated from the American Community Survey and are published on the Vital Signs Income indicator page. For the national context analysis, occupation wage classifications are unique to each metro area. A low-wage job in New York, for instance, may be a middle-wage job in Miami. For the Bay Area in 2017, the median hourly wage for low-wage occupations was less than $20.86 per hour. For middle-wage jobs, the median ranged from $20.86 to $31.30 per hour; and for high-wage jobs, the median wage was above $31.30 per hour.

    Occupational employment and wage information comes from the Occupational Employment Statistics (OES) program. Regional and subregional data is published by the California Employment Development Department. Metro data is published by the Bureau of Labor Statistics. The OES program collects data on wage and salary workers in nonfarm establishments to produce employment and wage estimates for some 800 occupations. Data from non-incorporated self-employed persons are not collected, and are not included in these estimates. Wage estimates represent a three-year rolling average.

    Due to changes in reporting during the analysis period, subregion data from the EDD OES have been aggregated to produce geographies that can be compared over time. West Bay is San Mateo, San Francisco, and Marin counties. North Bay is Sonoma, Solano and Napa counties. East Bay is Alameda and Contra Costa counties. South Bay is Santa Clara County from 2001-2004 and Santa Clara and San Benito counties from 2005-2017.

    Due to changes in occupation classifications during the analysis period, all occupations have been reassigned to 2010 SOC codes. For pre-2009 reporting years, all employment in occupations that were split into two or more 2010 SOC occupations are assigned to the first 2010 SOC occupation listed in the crosswalk table provided by the Census Bureau. This method assumes these occupations always fall in the same wage category, and sensitivity analysis of this reassignment method shows this is true in most cases.

    In order to use OES data for time series analysis, several steps were taken to handle missing wage or employment data. For some occupations, such as airline pilots and flight attendants, no wage information was provided and these were removed from the analysis. Other occupations did not record a median hourly wage (mostly due to irregular work hours) but did record an annual average wage. Nearly all these occupations were in education (i.e. teachers). In this case, a 2080 hour-work year was assumed and [annual average wage/2080] was used as a proxy for median income. Most of these occupations were classified as high-wage, thus dispelling concern of underestimating a median wage for a teaching occupation that requires less than 2080 hours of work a year (equivalent to 12 months fulltime). Finally, the OES has missing employment data for occupations across the time series. To make the employment data comparable between years, gaps in employment data for occupations are ‘filled-in’ using linear interpolation if there are at least two years of employment data found in OES. Occupations with less than two years of employment data were dropped from the analysis. Over 80% of interpolated cells represent missing employment data for just one year in the time series. While this interpolating technique may impact year-over-year comparisons, the long-term trends represented in the analysis generally are accurate.

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

    • statista.com
    Updated Oct 15, 2024
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    Statista (2024). 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 updated
    Oct 15, 2024
    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.

  9. i

    Average annual salary by occupation groups and period.

    • ine.es
    csv, html, json +4
    Updated Feb 13, 2024
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    INE - Instituto Nacional de Estadística (2024). Average annual salary by occupation groups and period. [Dataset]. https://ine.es/jaxiT3/Tabla.htm?t=10916&L=1
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    xlsx, text/pc-axis, csv, txt, xls, json, htmlAvailable download formats
    Dataset updated
    Feb 13, 2024
    Dataset authored and provided by
    INE - Instituto Nacional de Estadística
    License

    https://www.ine.es/aviso_legalhttps://www.ine.es/aviso_legal

    Time period covered
    Jan 1, 2009 - Jan 1, 2021
    Variables measured
    Type of data, National Total, Sex/Gender gap, Occupation groups, Wage/labour type indicator
    Description

    Women and Men in Spain: Average annual salary by occupation groups and period. Annual. National.

  10. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Data entry keyers occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254556400A
    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: Data entry keyers occupations: 16 years and over (LEU0254556400A) from 2000 to 2024 about second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  11. F

    Employed: Paid below prevailing federal minimum wage: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed: Paid below prevailing federal minimum wage: Wage and salary workers: Transportation and material moving occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204843900A
    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: Paid below prevailing federal minimum wage: Wage and salary workers: Transportation and material moving occupations: 16 years and over (LEU0204843900A) from 2000 to 2024 about paid, occupation, materials, minimum wage, salaries, workers, transportation, 16 years +, federal, wages, employment, and USA.

  12. Employee wages by occupation, annual, 1997 to 2022, inactive

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Jan 6, 2023
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    Government of Canada, Statistics Canada (2023). Employee wages by occupation, annual, 1997 to 2022, inactive [Dataset]. http://doi.org/10.25318/1410034001-eng
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    Dataset updated
    Jan 6, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Average hourly and weekly wage rate, and median hourly and weekly wage rate by National Occupational Classification (NOC), type of work, sex, and age group, 1997 to 2022.

  13. F

    Employed full time: Wage and salary workers: Survey researchers occupations:...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Survey researchers occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0257864200A
    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: Wage and salary workers: Survey researchers occupations: 16 years and over: Women (LEU0257864200A) from 2011 to 2024 about occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  14. F

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

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Transportation and material moving occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254681300Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 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: Transportation and material moving occupations: 16 years and over: Men (LEU0254681300Q) from Q1 2000 to Q1 2025 about second quartile, occupation, materials, full-time, males, salaries, workers, earnings, transportation, 16 years +, wages, median, employment, and USA.

  15. U.S. legal service wages by occupation 2024

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. legal service wages by occupation 2024 [Dataset]. https://www.statista.com/statistics/318763/employee-wages-of-legal-occupations-by-category-us/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    United States
    Description

    In 2024, lawyers were the ******* paid profession in legal occupations in the United States. Judges, magistrate judges, and magistrates followed, with an average annual wage of approximately ******* U.S. dollars in the United States in 2024.

  16. Average monthly salary in Mexico 2023, by sector of occupation

    • statista.com
    • ai-chatbox.pro
    Updated Jul 5, 2024
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    Statista (2024). Average monthly salary in Mexico 2023, by sector of occupation [Dataset]. https://www.statista.com/statistics/1399638/average-monthly-salary-by-sector-occupation-mexico/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Mexico
    Description

    In Mexico as of the third quarter of 2023, the sectors of occupation measured by the average monthly salary had the extractive industry as the clear leader, in terms of highest average salary, with 10,612 Mexican pesos, followed by the governmental, education and health areas.

  17. F

    Employed full time: Wage and salary workers: Dancers and choreographers...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Dancers and choreographers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254592400A
    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: Wage and salary workers: Dancers and choreographers occupations: 16 years and over: Men (LEU0254592400A) from 2000 to 2024 about occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  18. F

    Employed: Workers paid hourly rates: Wage and salary workers: Sales and...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed: Workers paid hourly rates: Wage and salary workers: Sales and office occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0204836100A
    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: Workers paid hourly rates: Wage and salary workers: Sales and office occupations: 16 years and over (LEU0204836100A) from 2000 to 2024 about paid, occupation, salaries, workers, hours, 16 years +, wages, sales, employment, rate, and USA.

  19. F

    Employed full time: Wage and salary workers: Waiters and waitresses...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Waiters and waitresses occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254493400A
    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: Wage and salary workers: Waiters and waitresses occupations: 16 years and over (LEU0254493400A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  20. F

    Employed full time: Wage and salary workers: Actors occupations: 16 years...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Actors occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254485300A
    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: Wage and salary workers: Actors occupations: 16 years and over (LEU0254485300A) from 2000 to 2024 about actors, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

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Statista (2024). U.S. median annual wage 2023, by major occupational group [Dataset]. https://www.statista.com/statistics/218235/median-annual-wage-in-the-us-by-major-occupational-groups/
Organization logo

U.S. median annual wage 2023, by major occupational group

Explore at:
Dataset updated
Aug 27, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
May 2023
Area covered
United States
Description

As of 2023, the median wage for employees in healthcare support occupations was about 36,140 U.S. dollars. The occupational group with the highest annual median wage was management occupations. Mean wages for the same occupational groups can be accessed here.

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