100+ datasets found
  1. d

    Average Salary by Job Classification

    • catalog.data.gov
    • data.montgomerycountymd.gov
    Updated Sep 15, 2023
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    data.montgomerycountymd.gov (2023). Average Salary by Job Classification [Dataset]. https://catalog.data.gov/dataset/average-salary-by-job-classification
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    data.montgomerycountymd.gov
    Description

    This Dataset indicates average salary by position title and grade for full-time regular employees. Data excludes elected, appointed, non-merit and temporary employees. Underfilled positions are also excluded from the dataset. Update Frequency : Annually

  2. 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.

  3. 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.

  4. F

    3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job...

    • fred.stlouisfed.org
    json
    Updated Jul 9, 2025
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    (2025). 3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Movement: Job Stayer [Dataset]. https://fred.stlouisfed.org/series/FRBATLWGT3MMAUMHWGJMJST
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 9, 2025
    License

    https://fred.stlouisfed.org/legal/https://fred.stlouisfed.org/legal/

    Description

    Graph and download economic data for 3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Movement: Job Stayer (FRBATLWGT3MMAUMHWGJMJST) from Mar 1997 to Jun 2025 about growth, moving average, jobs, 3-month, average, wages, median, and USA.

  5. F

    12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job...

    • fred.stlouisfed.org
    json
    Updated Jul 9, 2025
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    (2025). 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Switcher [Dataset]. https://fred.stlouisfed.org/series/FRBATLWGT12MMUMHWGJSW
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 9, 2025
    License

    https://fred.stlouisfed.org/legal/https://fred.stlouisfed.org/legal/

    Description

    Graph and download economic data for 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Switcher (FRBATLWGT12MMUMHWGJSW) from Dec 1997 to Jun 2025 about growth, moving average, 1-year, jobs, average, wages, median, and USA.

  6. U.S. average hourly earnings of nonfarm payroll employees 2024, by industry

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). U.S. average hourly earnings of nonfarm payroll employees 2024, by industry [Dataset]. https://www.statista.com/statistics/261811/hourly-earnings-of-all-employees-in-the-us-by-month-by-industry/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    Area covered
    United States
    Description

    In October 2024, the average hourly earnings for all employees on private nonfarm payrolls in the United States stood at 35.46 U.S. dollars. The data have been seasonally adjusted. Employed persons are employees on nonfarm payrolls and consist of: persons who did any work for pay or profit during the survey reference week; persons who did at least 15 hours of unpaid work in a family-operated enterprise; and persons who were temporarily absent from their regular jobs because of illness, vacation, bad weather, industrial dispute, or various personal reasons.

  7. F

    12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Stayer

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
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    (2025). 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Stayer [Dataset]. https://fred.stlouisfed.org/series/FRBATLWGT12MMUMHWGJST
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/https://fred.stlouisfed.org/legal/

    Description

    Graph and download economic data for 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Stayer (FRBATLWGT12MMUMHWGJST) from Dec 1997 to May 2025 about growth, moving average, 1-year, jobs, average, wages, median, and USA.

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

    • statista.com
    Updated May 8, 2025
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    Statista (2025). 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
    May 8, 2025
    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.

  9. 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
    Explore at:
    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    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.

  10. 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

  11. 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/
    Explore at:
    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

  12. Average hourly wage in the U.S. 1990-2015, by predominant skills required...

    • statista.com
    Updated Oct 6, 2016
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    Statista (2016). Average hourly wage in the U.S. 1990-2015, by predominant skills required for job [Dataset]. https://www.statista.com/statistics/730241/average-hourly-wage-in-the-us-by-skills-required/
    Explore at:
    Dataset updated
    Oct 6, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1990 - 2015
    Area covered
    United States
    Description

    This statistic shows the average hourly wage in occupations that required a certain skill set in the United States from 1990 to 2015, by required skill. In 2015, U.S. Americans working in occupations that required a high level of analytical skills earned ** U.S. dollars per hour on average.

  13. F

    3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job...

    • fred.stlouisfed.org
    json
    Updated Jul 9, 2025
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    (2025). 3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Movement: Job Switcher [Dataset]. https://fred.stlouisfed.org/series/FRBATLWGT3MMAUMHWGJMJSW
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 9, 2025
    License

    https://fred.stlouisfed.org/legal/https://fred.stlouisfed.org/legal/

    Description

    Graph and download economic data for 3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Movement: Job Switcher (FRBATLWGT3MMAUMHWGJMJSW) from Mar 1997 to Jun 2025 about growth, moving average, jobs, 3-month, average, wages, median, and USA.

  14. s

    Average full-time hourly wage paid and payroll employment by type of work,...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jun 26, 2018
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    Government of Canada, Statistics Canada (2018). Average full-time hourly wage paid and payroll employment by type of work, industry and occupation [Dataset]. http://doi.org/10.25318/1410010301-eng
    Explore at:
    Dataset updated
    Jun 26, 2018
    Dataset provided by
    Government of Canada, Statistics Canada
    Area covered
    Canada
    Description

    Average full-time hourly wage paid and payroll employment by type of work, North American Industry Classification System (NAICS) and National Occupational Classification (NOC), 2016 and 2017.

  15. U.S. average annual real wages 2000-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. average annual real wages 2000-2023 [Dataset]. https://www.statista.com/statistics/612519/average-annual-real-wages-united-states/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the average annual real wages in the United States amounted to ****** U.S. dollars. This shows the average annual wages in the United States from 2000 to 2023 in constant 2023 PPP-adjusted U.S. dollars.

  16. 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
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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.

  17. Average wages of the main job by period, type of working day,...

    • ine.es
    csv, html, json +4
    Updated Nov 22, 2024
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    INE - Instituto Nacional de Estadística (2024). Average wages of the main job by period, type of working day, underemployment and decile [Dataset]. https://www.ine.es/jaxiT3/Tabla.htm?t=66251&L=1
    Explore at:
    csv, txt, text/pc-axis, html, xlsx, xls, jsonAvailable download formats
    Dataset updated
    Nov 22, 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, 2006 - Jan 1, 2023
    Variables measured
    Decile, Type of data, National Total, Type of working day, Salary/Work concepts, Underemployment situation
    Description

    Economically Active Population Survey: Average wages of the main job by period, type of working day, underemployment and decile. Annual. National.

  18. 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
    Explore at:
    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.

  19. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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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
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Description

    Graph and download economic data for 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.

  20. 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.

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data.montgomerycountymd.gov (2023). Average Salary by Job Classification [Dataset]. https://catalog.data.gov/dataset/average-salary-by-job-classification

Average Salary by Job Classification

Explore at:
Dataset updated
Sep 15, 2023
Dataset provided by
data.montgomerycountymd.gov
Description

This Dataset indicates average salary by position title and grade for full-time regular employees. Data excludes elected, appointed, non-merit and temporary employees. Underfilled positions are also excluded from the dataset. Update Frequency : Annually

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