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. U.S. largest occupations: annual mean wages 2023

    • statista.com
    • flwrdeptvarieties.store
    Updated Jul 5, 2024
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    Statista (2024). U.S. largest occupations: annual mean wages 2023 [Dataset]. https://www.statista.com/statistics/184626/annual-mean-wages-for-the-largest-occupations/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2023
    Area covered
    United States
    Description

    This graph displays the twenty largest occupation groups in the United States as of May 2023, ranked by annual mean wage. The annual mean wage among the 7.7 million retail sales workers in the U.S. stood at 34,520 U.S. dollars in 2023.

  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. T

    Vital Signs: Jobs by Wage Level - Metro

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 18, 2019
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    (2019). Vital Signs: Jobs by Wage Level - Metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Jobs-by-Wage-Level-Metro/bt32-8udw
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    csv, tsv, application/rssxml, application/rdfxml, xml, jsonAvailable 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.

  5. 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
    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.

  6. k

    Average Salaries in the Private Sector by Main Profession Nationality and...

    • datasource.kapsarc.org
    Updated Mar 12, 2025
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    (2025). Average Salaries in the Private Sector by Main Profession Nationality and Gender [Dataset]. https://datasource.kapsarc.org/explore/dataset/average-salaries-in-the-private-sector-by-main-profession-nationality-and-gende0/
    Explore at:
    Dataset updated
    Mar 12, 2025
    Description

    Explore the dataset on average salaries in the private sector by main profession, nationality, and gender in Saudi Arabia. Gain insights into industrial and chemical processes, food industries, total labor force, and more.

    Industrial and chemical processes and food industries, Non-Saudis, Total labour force, Agricultural and animal husbandry Poultry and fishing, Services jobs, Auxiliary basic engineering jobs, Scientific, technical and human technicians, Clerical jobs, Saudis, Male, Administrative and business directors, Other, Sales jobs, Scientific, technical and human specialists, Female, Profession, Gender , Saudi, Non Saudi, SAMA Annual

    Saudi Arabia Follow data.kapsarc.org for timely data to advance energy economics research..

  7. 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 provided by
    National Statistics Institutehttp://www.ine.es/
    Authors
    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.

  8. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Cashiers occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254497200A
    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: Cashiers occupations: 16 years and over (LEU0254497200A) from 2000 to 2024 about cashiers, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  9. 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: Engineers, all other occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254747000A
    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: Engineers, all other occupations: 16 years and over: Women (LEU0254747000A) from 2000 to 2024 about engineering, second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  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: Sales and office occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254657000Q
    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: Sales and office occupations: 16 years and over: Men (LEU0254657000Q) from Q1 2000 to Q4 2024 about second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, sales, median, employment, and USA.

  11. Wages

    • open.canada.ca
    • ouvert.canada.ca
    csv
    Updated Dec 12, 2024
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    Employment and Social Development Canada (2024). Wages [Dataset]. https://open.canada.ca/data/en/dataset/adad580f-76b0-4502-bd05-20c125de9116
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset provided by
    Ministry of Employment and Social Development of Canadahttp://esdc-edsc.gc.ca/
    License

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

    Description

    The wages on the Job Bank website are specific to an occupation and provide information on the earnings of workers at the regional level. Wages for most occupations are also provided at the national and provincial level. In Canada, all jobs are associated with one specific occupational grouping which is determined by the National Occupational Classification. For most occupations, a minimum, median and maximum wage estimates are displayed. They are update annually. If you have comments or questions regarding the wage information, please contact the Labour Market Information Division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

  12. Average monthly salary Norway 2022, by occupation

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Average monthly salary Norway 2022, by occupation [Dataset]. https://www.statista.com/statistics/1169737/average-monthly-salary-norway-by-occupation/
    Explore at:
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Norway
    Description

    Managers earned on average the highest monthly salary in Norway. In 2022, people with a manager position earned over 78,000 Norwegian kroner on average on a monthly basis. Professionals were the occupational group with the second highest average monthly salary, followed by technicians, associate professors, and people employed in the armed forces. The lowest average salaries in Norway that year were found among elementary occupations.

  13. EARN06: Gross weekly earnings by occupation

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Feb 18, 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
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 18, 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.

  14. B

    Brazil Average Real Income: All Jobs: Usual Earnings

    • ceicdata.com
    + more versions
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    CEICdata.com, Brazil Average Real Income: All Jobs: Usual Earnings [Dataset]. https://www.ceicdata.com/en/brazil/continuous-national-household-sample-survey-monthly/average-real-income-all-jobs-usual-earnings
    Explore at:
    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
    May 1, 2018 - Apr 1, 2019
    Area covered
    Brazil
    Variables measured
    Wage/Earnings
    Description

    Brazil Average Real Income: All Jobs: Usual Earnings data was reported at 2,295.000 BRL in Apr 2019. This records a decrease from the previous number of 2,304.000 BRL for Mar 2019. Brazil Average Real Income: All Jobs: Usual Earnings data is updated monthly, averaging 2,254.500 BRL from Mar 2012 (Median) to Apr 2019, with 86 observations. The data reached an all-time high of 2,312.000 BRL in Feb 2019 and a record low of 2,159.000 BRL in Mar 2012. Brazil Average Real Income: All Jobs: Usual Earnings data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Labour Market – Table BR.GBA001: Continuous National Household Sample Survey: Monthly.

  15. Iowa Wage Data by Occupation

    • data.iowa.gov
    • s.cnmilf.com
    • +3more
    application/rdfxml +5
    Updated Jan 29, 2025
    + more versions
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    Iowa Workforce Development, Labor Market Information (2025). Iowa Wage Data by Occupation [Dataset]. https://data.iowa.gov/Workforce/Iowa-Wage-Data-by-Occupation/bs34-5ubh
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    json, tsv, application/rssxml, csv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset provided by
    Iowa Workforce Development
    Authors
    Iowa Workforce Development, Labor Market Information
    License

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

    Area covered
    Iowa
    Description

    This dataset is from the Iowa Wage survey which is based on the Occupation Employment Statistics (OES) program from the Bureau of Labor Statistics (BLS). This data is updated to reflect more current statistics using cost of living indicators.

  16. f

    Data from: Average salary

    • f1hire.com
    + more versions
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    F1 Hire, Average salary [Dataset]. https://www.f1hire.com/major/Education%20And%20Allied%20Professions%20-%20Higher%20Education%20Administration
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    Dataset authored and provided by
    F1 Hire
    Description

    Explore the progression of average salaries for graduates in Education And Allied Professions - Higher Education Administration from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Education And Allied Professions - Higher Education Administration relative to other fields. This data is essential for students assessing the return on investment of their education in Education And Allied Professions - Higher Education Administration, providing a clear picture of financial prospects post-graduation.

  17. G

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

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 30, 2023
    + more versions
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    Statistics Canada (2023). Employee wages by occupation, annual, 1997 to 2022, inactive [Dataset]. https://open.canada.ca/data/en/dataset/1d092695-931c-4cbd-b199-7dd879e2108d
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 30, 2023
    Dataset provided by
    Statistics Canada
    License

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

    Description

    Average 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.

  18. Earnings and hours worked, occupation by two-digit SOC: ASHE Table 2

    • ons.gov.uk
    • cy.ons.gov.uk
    zip
    Updated Oct 29, 2024
    + more versions
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    Office for National Statistics (2024). Earnings and hours worked, occupation by two-digit SOC: ASHE Table 2 [Dataset]. https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/occupation2digitsocashetable2
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    zipAvailable download formats
    Dataset updated
    Oct 29, 2024
    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 two-digit Standard Occupational Classification.

  19. 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: Inspectors, testers, sorters, samplers, and weighers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254679700A
    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: Inspectors, testers, sorters, samplers, and weighers occupations: 16 years and over: Men (LEU0254679700A) from 2000 to 2024 about second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  20. 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: Financial managers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254632500A
    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: Financial managers occupations: 16 years and over: Men (LEU0254632500A) from 2000 to 2024 about management, second quartile, occupation, full-time, males, salaries, workers, earnings, financial, 16 years +, wages, median, 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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