100+ datasets found
  1. F

    Average Hourly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
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    (2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jul 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

  2. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LES1252881600Q
    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 real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q2 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

  3. USA Bureau of Labor Statistics

    • kaggle.com
    zip
    Updated Aug 30, 2019
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    US Bureau of Labor Statistics (2019). USA Bureau of Labor Statistics [Dataset]. https://www.kaggle.com/bls/bls
    Explore at:
    zip(0 bytes)Available download formats
    Dataset updated
    Aug 30, 2019
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    US Bureau of Labor Statistics
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

    Content

    Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

    Update Frequency: Monthly

    Querying BigQuery Tables

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

    https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

    Dataset Source: http://www.bls.gov/data/

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Clark Young from Unsplash.

    Inspiration

    What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

  4. United States CES: MP: IBT: Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CES: MP: IBT: Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-states/consumer-expenditure-survey-by-occupation/ces-mp-ibt-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Household Income and Expenditure Survey
    Description

    United States CES: MP: IBT: Wages & Salaries data was reported at 79,508.000 USD in 2017. This records an increase from the previous number of 76,678.000 USD for 2016. United States CES: MP: IBT: Wages & Salaries data is updated yearly, averaging 49,662.000 USD from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 79,508.000 USD in 2017 and a record low of 25,088.000 USD in 1984. United States CES: MP: IBT: Wages & Salaries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H045: Consumer Expenditure Survey: By Occupation.

  5. T

    United States Wages and Salaries Growth

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 14, 2025
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    TRADING ECONOMICS (2025). United States Wages and Salaries Growth [Dataset]. https://tradingeconomics.com/united-states/wage-growth
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jun 14, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1960 - Jun 30, 2025
    Area covered
    United States
    Description

    Wages in the United States increased 4.78 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. United States CES: FL: IBT: Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CES: FL: IBT: Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-states/consumer-expenditure-survey-by-occupation/ces-fl-ibt-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Household Income and Expenditure Survey
    Description

    United States CES: FL: IBT: Wages & Salaries data was reported at 60,997.000 USD in 2016. This records an increase from the previous number of 59,110.000 USD for 2015. United States CES: FL: IBT: Wages & Salaries data is updated yearly, averaging 44,111.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 60,997.000 USD in 2016 and a record low of 22,812.000 USD in 1984. United States CES: FL: IBT: Wages & Salaries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H042: Consumer Expenditure Survey: By Occupation.

  7. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 24, 2017
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    (2017). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Cutting workers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254679400A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 24, 2017
    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: Cutting workers occupations: 16 years and over: Men (LEU0254679400A) from 2000 to 2016 about second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  8. V

    Employment First Annual OVR Outcomes Current Statewide Labor & Industry - PA...

    • odgavaprod.ogopendata.com
    csv
    Updated Feb 20, 2024
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    Datathon 2024 (2024). Employment First Annual OVR Outcomes Current Statewide Labor & Industry - PA [Dataset]. https://odgavaprod.ogopendata.com/dataset/employment-first-annual-ovr-outcomes-current-statewide-labor-industry-pa
    Explore at:
    csv(12236), csv(1336)Available download formats
    Dataset updated
    Feb 20, 2024
    Dataset authored and provided by
    Datathon 2024
    Area covered
    Pennsylvania
    Description

    The following are a selection of annual outcomes of services provided by the Pennsylvania's Department of Labor & Industry's Office of Vocational Rehabilitation. Outcomes include applicants and case outcomes including employment and wages.

    Key Footnotes: 1) Employed in Competitive Labor Market means employment at or above the minimum wage in settings where most employees do not have disabilities. 2) Estimated Taxes Paid are based on a standard deduction for the year, annual tax brackets and rates established by the IRS, and flat-rate FICA, state, and local taxes. 3) Estimated Total Government Savings are estimated federal, state, and local taxes paid plus annualized public support dollars at closure. 4) Average per Person Cost for a Competitive Employment Placement is the average individual "life of case" cost for all persons having a competitive employment outcome regardless of total number of years receiving services. 5) Average per Person Cost of Services is the average individual "life of case" cost for all persons having an employment outcome regardless of total number of years receiving services. 6) Source: U.S. Department of Labor, Bureau of Labor Statistics, May 2016 State Occupational Employment and Wage Estimates, Pennsylvania, https://www.bls.gov/oes/current/oes_pa.htm#00-0000.

  9. United States CES: $30 to 39.999 Th: IBT: Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CES: $30 to 39.999 Th: IBT: Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-states/consumer-expenditure-survey-by-income-level/ces-30-to-39999-th-ibt-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Household Income and Expenditure Survey
    Description

    United States CES: $30 to 39.999 Th: IBT: Wages & Salaries data was reported at 19,688.000 USD in 2016. This records a decrease from the previous number of 21,135.000 USD for 2015. United States CES: $30 to 39.999 Th: IBT: Wages & Salaries data is updated yearly, averaging 26,238.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 29,689.000 USD in 1984 and a record low of 19,688.000 USD in 2016. United States CES: $30 to 39.999 Th: IBT: Wages & Salaries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

  10. F

    Income Before Taxes: Wages and Salaries by Generation: Birth Year from 1946...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Income Before Taxes: Wages and Salaries by Generation: Birth Year from 1946 to 1964 [Dataset]. https://fred.stlouisfed.org/series/CXU900000LB1604M
    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 Income Before Taxes: Wages and Salaries by Generation: Birth Year from 1946 to 1964 (CXU900000LB1604M) from 2016 to 2023 about birth, salaries, tax, wages, income, and USA.

  11. p

    Employment First Annual OVR Outcomes Current Statewide Labor & Industry

    • data.pa.gov
    application/rdfxml +5
    Updated Aug 6, 2025
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    Office of Vocational Rehabilitation (2025). Employment First Annual OVR Outcomes Current Statewide Labor & Industry [Dataset]. https://data.pa.gov/Employment-First/Employment-First-Annual-OVR-Outcomes-Current-State/uimv-hpcj
    Explore at:
    csv, application/rdfxml, xml, application/rssxml, json, tsvAvailable download formats
    Dataset updated
    Aug 6, 2025
    Dataset authored and provided by
    Office of Vocational Rehabilitation
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Note: PY 2024-25 partial data is from Ad hoc Reports as of 7/30/2025 - it needs to be reviewed and finalized in the OVR Annual Report 2024. OVR Annual Report - will be available January / February 2026

    The following are a selection of annual outcomes of services provided by the Pennsylvania's Department of Labor & Industry's Office of Vocational Rehabilitation. Outcomes include applicants and case outcomes including employment and wages.

    Key Footnotes: 1) Employed in Competitive Labor Market means employment at or above the minimum wage in settings where most employees do not have disabilities. 2) Estimated Taxes Paid are based on a standard deduction for the year, annual tax brackets and rates established by the IRS, and flat-rate FICA, state, and local taxes. 3) Estimated Total Government Savings are estimated federal, state, and local taxes paid plus annualized public support dollars at closure. 4) Average per Person Cost for a Competitive Employment Placement is the average individual "life of case" cost for all persons having a competitive employment outcome regardless of total number of years receiving services. 5) Average per Person Cost of Services is the average individual "life of case" cost for all persons having an employment outcome regardless of total number of years receiving services. 6) Source: U.S. Department of Labor, Bureau of Labor Statistics, May 2016 State Occupational Employment and Wage Estimates, Pennsylvania, https://www.bls.gov/oes/current/oes_pa.htm#00-0000.

  12. Estimated Lost Lifetime Wages Due to Premature Opioid-Related Mortality CY...

    • data.pa.gov
    Updated Oct 5, 2022
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    Centers for Disease Control and Prevention (CDC), United States Department of Labor (2022). Estimated Lost Lifetime Wages Due to Premature Opioid-Related Mortality CY 2016 - 2017 County Annual Centers for Disease Control and Prevention (CDC) United States Department of Labor [Dataset]. https://data.pa.gov/Opioid-Related/Estimated-Lost-Lifetime-Wages-Due-to-Premature-Opi/8rwb-e4pv
    Explore at:
    csv, xml, application/rdfxml, tsv, application/rssxml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    Oct 5, 2022
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    United States Department of Laborhttp://www.dol.gov/
    Authors
    Centers for Disease Control and Prevention (CDC), United States Department of Labor
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    This indicator includes the estimated lifetime wages lost due to premature opioid-related mortality. This value is the sum of the product of the number of years of life lost due to premature opioid-related mortality and the average quarterly wages for county of residence—as reported by the Bureau of Labor Statistics—adjusted for inflation and then discounted.

  13. T

    Vital Signs: Income (Median by Workplace) – Bay Area

    • data.bayareametro.gov
    application/rdfxml +5
    Updated May 2, 2019
    + more versions
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    U.S. Census Bureau: American Community Survey (2019). Vital Signs: Income (Median by Workplace) – Bay Area [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Income-Median-by-Workplace-Bay-Area/kjfs-sujy
    Explore at:
    json, csv, tsv, application/rdfxml, xml, application/rssxmlAvailable download formats
    Dataset updated
    May 2, 2019
    Dataset authored and provided by
    U.S. Census Bureau: American Community Survey
    Area covered
    San Francisco Bay Area
    Description

    VITAL SIGNS INDICATOR Income (EC5)

    FULL MEASURE NAME Worker income by workplace (earnings)

    LAST UPDATED October 2016

    DESCRIPTION Income reflects the median earnings of individuals and households from employment, as well as the income distribution by quintile. Income data highlight how employees are being compensated for their work on an inflation-adjusted basis.

    DATA SOURCE U.S. Census Bureau: Decennial Census Count 4Pb (1970) Form STF3 (1980-1990) Form SF3a (2000) https://nhgis.org

    U.S. Census Bureau: American Community Survey Form B08521 (2006-2015; place of employment) http://api.census.gov

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1970-2015; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Income data reported in a given year reflects the income earned in the prior year (decennial Census) or in the prior 12 months (American Community Survey); note that this inconsistency has a minor effect on historical comparisons (for more information, go to: http://www.census.gov/acs/www/Downloads/methodology/ASA_nelson.pdf). American Community Survey 1-year data is used for larger geographies – metropolitan areas and counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Quintile income for 1970-2000 is imputed from Decennial Census data using methodology from the California Department of Finance (for more information, go to: http://www.dof.ca.gov/Forecasting/Demographics/Census_Data_Center_Network/documents/How_to_Recalculate_a_Median.pdf). Bay Area income is the population weighted average of county-level income.

    Income has been inflated using the Consumer Price Index specific to each metro area; however, some metro areas lack metro-specific CPI data back to 1970 and therefore adjusted data is unavailable for some historical data points. Note that current MSA boundaries were used for historical comparison by identifying counties included in today’s metro areas.

  14. United States CES: SE: IBT: Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CES: SE: IBT: Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-states/consumer-expenditure-survey-by-occupation/ces-se-ibt-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Household Income and Expenditure Survey
    Description

    United States CES: SE: IBT: Wages & Salaries data was reported at 57,319.000 USD in 2016. This records an increase from the previous number of 54,405.000 USD for 2015. United States CES: SE: IBT: Wages & Salaries data is updated yearly, averaging 35,579.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 57,319.000 USD in 2016 and a record low of 18,178.000 USD in 1984. United States CES: SE: IBT: Wages & Salaries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H042: Consumer Expenditure Survey: By Occupation.

  15. Estimated Total Lost Wages Due to Opioid Use CY 2016-2017 County Annual US...

    • data.pa.gov
    Updated Oct 5, 2022
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    United States Department of Health and Human Services, United States Department of Labor (2022). Estimated Total Lost Wages Due to Opioid Use CY 2016-2017 County Annual US Department of Health and Human Services, US Department of Labor [Dataset]. https://data.pa.gov/Opioid-Related/Estimated-Total-Lost-Wages-Due-to-Opioid-Use-CY-20/xzsj-mqqr
    Explore at:
    application/rssxml, tsv, csv, application/rdfxml, xml, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Oct 5, 2022
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    United States Department of Health and Human Services, United States Department of Labor
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Area covered
    United States
    Description

    This indicator includes the estimated total lost wages related to opioid use and the associated lost tax revenue for the state. Estimated lost wages are due to absenteeism, reduced productivity, hospitalization, unemployment and labor force exits due to opioid use. This value is the product of the estimated number of individuals with drug use disorder, the average weekly wages for county of residence—as reported by the Bureau of Labor Statistics—multiplied by 52 to represent annual wages, and a 17% reduction in productivity. The 17% reduction in productivity is from the following report: https://www.justice.gov/archive/ndic/pubs44/44731/44731p.pdf

  16. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Description

    Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q2 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

  17. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 24, 2017
    + more versions
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    (2017). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Laundry and dry-cleaning workers occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254676800A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 24, 2017
    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: Laundry and dry-cleaning workers occupations: 16 years and over: Men (LEU0254676800A) from 2000 to 2016 about laundry, second quartile, occupation, males, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  18. U

    United States CES: CM: IBT: Wages & Salaries

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CES: CM: IBT: Wages & Salaries [Dataset]. https://www.ceicdata.com/en/united-states/consumer-expenditure-survey-by-occupation/ces-cm-ibt-wages--salaries
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Household Income and Expenditure Survey
    Description

    United States CES: CM: IBT: Wages & Salaries data was reported at 48,789.000 USD in 2016. This records an increase from the previous number of 46,826.000 USD for 2015. United States CES: CM: IBT: Wages & Salaries data is updated yearly, averaging 28,986.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 48,789.000 USD in 2016 and a record low of 13,103.000 USD in 1984. United States CES: CM: IBT: Wages & Salaries data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H042: Consumer Expenditure Survey: By Occupation.

  19. F

    Income Before Taxes: Unemployment and Workers' Compensation, Veterans'...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Income Before Taxes: Unemployment and Workers' Compensation, Veterans' Benefits, and Regular Contributions by Generation: Birth Year from 1946 to 1964 [Dataset]. https://fred.stlouisfed.org/series/CXUOTHREGINLB1604M
    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 Income Before Taxes: Unemployment and Workers' Compensation, Veterans' Benefits, and Regular Contributions by Generation: Birth Year from 1946 to 1964 (CXUOTHREGINLB1604M) from 2016 to 2023 about veterans, birth, contributions, compensation, benefits, workers, tax, income, unemployment, and USA.

  20. a

    Employment and Wages 2001 to 2016: All Locations

    • statewide-geoportal-1-soa-dnr.hub.arcgis.com
    • gis.data.alaska.gov
    • +6more
    Updated Sep 5, 2019
    + more versions
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    Dept. of Commerce, Community, & Economic Development (2019). Employment and Wages 2001 to 2016: All Locations [Dataset]. https://statewide-geoportal-1-soa-dnr.hub.arcgis.com/items/0aadf440b4b84b219d2322313bcf9a6f
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    Dataset updated
    Sep 5, 2019
    Dataset authored and provided by
    Dept. of Commerce, Community, & Economic Development
    Area covered
    Description

    Employment and wages data for all locations, 2001 to 2016. Note on use for analysis: This data set mixes scale. It includes rows for census areas and economic regions, which contain multiple CDP's and cities from this same data set in many cases. To view this data by year and by borough, economic region, or city, add 'Employment and Wages Group Layers' to a WebMap or to the Build Your Own Map application. Contact dcraresearchandanalysis@alaska.gov with questions.Source: Alaska Department of Labor and Workforce Development.This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Local and Regional Information

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(2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000003

Average Hourly Earnings of All Employees, Total Private

CES0500000003

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45 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
Aug 1, 2025
License

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

Description

Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CES0500000003) from Mar 2006 to Jul 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

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