95 datasets found
  1. d

    Average Salary by Job Classification

    • catalog.data.gov
    • data.montgomerycountymd.gov
    • +1more
    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
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    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
    • thefarmdosupply.com
    • +1more
    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/
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    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
    csv, xlsx, xml
    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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    xlsx, csv, xmlAvailable 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. 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
    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.

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

    • statista.com
    • tokrwards.com
    Updated Jul 18, 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
    Jul 18, 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 *** thousand U.S. dollars. Software developers and project managers all reported being paid on average over *** 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

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

    • statista.com
    • thefarmdosupply.com
    • +1more
    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.

  7. EARN06: Gross weekly earnings by occupation

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Aug 12, 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
    Aug 12, 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.

  8. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 11, 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
    Sep 11, 2025
    License

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

    Description

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

  9. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 17, 2019
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    (2019). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Word processors and typists occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254556500A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 17, 2019
    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: Word processors and typists occupations: 16 years and over (LEU0254556500A) from 2000 to 2018 about second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  10. 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.

  11. 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.

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

    • www150.statcan.gc.ca
    • datasets.ai
    • +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, economic region and occupation [Dataset]. http://doi.org/10.25318/1410000101-eng
    Explore at:
    Dataset updated
    Jun 26, 2018
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Average full-time hourly wage paid and payroll employment by type of work, economic region and National Occupational Classification (NOC), 2016 and 2017.

  13. F

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

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Production, transportation, and material moving occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254566200Q
    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: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Production, transportation, and material moving occupations: 16 years and over (LEU0254566200Q) from Q1 2000 to Q2 2025 about second quartile, occupation, materials, full-time, transportation, salaries, earnings, workers, 16 years +, wages, production, median, employment, and USA.

  14. Median IT salary in job offers in Russia 2020-2024

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Median IT salary in job offers in Russia 2020-2024 [Dataset]. https://www.statista.com/statistics/1307990/russia-offered-it-salary/
    Explore at:
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Russia
    Description

    The median salary offered by employers in the information technology (IT) sector in Russia reached ****** Russian rubles in the first three months of 2024. The offered salary saw an increase from the previous year.

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

    • statista.com
    • tokrwards.com
    • +1more
    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.

  16. i

    Average annual salary by occupation groups and period.

    • ine.es
    csv, html, json +4
    Updated Feb 13, 2024
    + more versions
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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
    Explore at:
    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.

  17. Employee wages by occupation, annual, 1997 to 2018, inactive

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jan 4, 2019
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    Government of Canada, Statistics Canada (2019). Employee wages by occupation, annual, 1997 to 2018, inactive [Dataset]. http://doi.org/10.25318/1410030701-eng
    Explore at:
    Dataset updated
    Jan 4, 2019
    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, sex, and age group, 1997 to 2018.

  18. d

    Iowa Median Earnings in Past 12 Months for the Civilian Employed Population...

    • catalog.data.gov
    • data.iowa.gov
    • +1more
    Updated Jun 14, 2024
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    data.iowa.gov (2024). Iowa Median Earnings in Past 12 Months for the Civilian Employed Population 16 Years and Over by Sex and Occupation (ACS 5-Year Estimates) [Dataset]. https://catalog.data.gov/dataset/iowa-median-earnings-in-past-12-months-for-the-civilian-employed-population-16-years-and-o
    Explore at:
    Dataset updated
    Jun 14, 2024
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This dataset provides median earnings in past 12 months for civilian employed population 16 years and over by sex and occupation for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B24012. Sex categories included: Male, Female, and Both Occupation categories included: Management occupations, Business and financial operations occupations, Computer and mathematical occupations, Architecture and engineering occupations, Life physical and social science occupations, Community and social service occupations, Legal occupations, Education training and library occupations, Arts design entertainment sports and media occupations, Health diagnosing and treating practitioners and other technical occupations, Health technologists and technicians, Healthcare support occupations, Fire fighting and prevention and other protective service workers including supervisors, Law enforcement workers including supervisors, Food preparation and serving related occupations, Building and grounds cleaning and maintenance occupations, Personal care and service occupations, Sales and related occupations, Office and administrative support occupations, Farming fishing and forestry occupations, Construction and extraction occupations, Installation maintenance and repair occupations, Production occupations, Transportation occupations, and Material moving occupations. Occupations are organized into broader occupation groups and categories.

  19. 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.

  20. Average salary in the logistics industry by job function 2017

    • statista.com
    Updated Jul 23, 2025
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    Statista (2025). Average salary in the logistics industry by job function 2017 [Dataset]. https://www.statista.com/statistics/699183/logistics-market-average-salary-by-job-function/
    Explore at:
    Dataset updated
    Jul 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The statistic gives the results of the annual salary survey among logistics and supply chain professionals, asking respondents about their annual salaries including bonuses and other compensations in 2016 and 2017, and broken down by job function. In that period, the average salary for a supply chain management employee amounted to about ******* U.S. dollars, down from ******* U.S. dollars in the previous year.

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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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