21 datasets found
  1. F

    Employed full time: Wage and salary workers: Economists occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254588200A
    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: Economists occupations: 16 years and over: Men (LEU0254588200A) from 2000 to 2024 about occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  2. 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 authored and provided by
    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?

  3. F

    Employed full time: Wage and salary workers: Economists occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254695000A
    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: Economists occupations: 16 years and over: Women (LEU0254695000A) from 2000 to 2024 about occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  4. T

    United States - Total wages and salaries, BLS: Adjustment for misreporting...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 3, 2020
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    TRADING ECONOMICS (2020). United States - Total wages and salaries, BLS: Adjustment for misreporting on employment tax returns [Dataset]. https://tradingeconomics.com/united-states/total-wages-and-salaries-bls-adjustment-for-misreporting-on-employment-tax-returns-fed-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Dec 3, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total wages and salaries, BLS: Adjustment for misreporting on employment tax returns was 152.60100 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Total wages and salaries, BLS: Adjustment for misreporting on employment tax returns reached a record high of 152.60100 in January of 2023 and a record low of 25.60400 in January of 1982. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total wages and salaries, BLS: Adjustment for misreporting on employment tax returns - last updated from the United States Federal Reserve on July of 2025.

  5. T

    United States - Total wages and salaries, BLS: Adjustment for wages and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 3, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Total wages and salaries, BLS: Adjustment for wages and salaries not covered or not fully covered by unemployment insurance: Other [Dataset]. https://tradingeconomics.com/united-states/total-wages-and-salaries-bls-adjustment-for-wages-and-salaries-not-covered-or-not-fully-covered-by-unemployment-insurance-other-fed-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Dec 3, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total wages and salaries, BLS: Adjustment for wages and salaries not covered or not fully covered by unemployment insurance: Other was 310.55300 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Total wages and salaries, BLS: Adjustment for wages and salaries not covered or not fully covered by unemployment insurance: Other reached a record high of 310.55300 in January of 2023 and a record low of 80.03900 in January of 1993. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total wages and salaries, BLS: Adjustment for wages and salaries not covered or not fully covered by unemployment insurance: Other - last updated from the United States Federal Reserve on July of 2025.

  6. F

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

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2015
    + more versions
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    (2015). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254534800A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2015
    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: Economists occupations: 16 years and over (LEU0254534800A) from 2000 to 2011 about second quartile, occupation, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  7. F

    Unemployment Rate in South Bend-Mishawaka, IN-MI (MSA)

    • fred.stlouisfed.org
    json
    Updated Apr 29, 2025
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    (2025). Unemployment Rate in South Bend-Mishawaka, IN-MI (MSA) [Dataset]. https://fred.stlouisfed.org/series/LAUMT184378000000003A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 29, 2025
    License

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

    Area covered
    Mishawaka, South Bend
    Description

    Graph and download economic data for Unemployment Rate in South Bend-Mishawaka, IN-MI (MSA) (LAUMT184378000000003A) from 1990 to 2024 about South Bend, MI, IN, household survey, unemployment, rate, and USA.

  8. m

    Replication package for "Not all leisure is created equal: Income-induced...

    • data.mendeley.com
    Updated Feb 4, 2025
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    Leila Gautham (2025). Replication package for "Not all leisure is created equal: Income-induced constraints on the enjoyment of leisure" [Dataset]. http://doi.org/10.17632/dktb4jmgrg.1
    Explore at:
    Dataset updated
    Feb 4, 2025
    Authors
    Leila Gautham
    License

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

    Description

    Replication package for "Not all leisure is created equal: Income-induced constraints on the enjoyment of leisure." This package uses American Time Use Survey data made publicly available by the U.S. Bureau of Labor Statistics at https://www.bls.gov/tus/data.htm (see README file for specific files used). We use this data to show that income enhances enjoyment during leisure activities. Our results also examine the mechanisms underlying this positive relationship. The full paper is available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4896455

  9. F

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

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2015
    + more versions
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    (2015). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254748400A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2015
    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: Economists occupations: 16 years and over: Women (LEU0254748400A) from 2000 to 2011 about second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  10. T

    United States - Total wages and salaries, BLS

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 12, 2018
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    TRADING ECONOMICS (2018). United States - Total wages and salaries, BLS [Dataset]. https://tradingeconomics.com/united-states/total-wages-and-salaries-bls-fed-data.html
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 12, 2018
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total wages and salaries, BLS was 11076.97400 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Total wages and salaries, BLS reached a record high of 11076.97400 in January of 2023 and a record low of 1479.18700 in January of 1982. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total wages and salaries, BLS - last updated from the United States Federal Reserve on July of 2025.

  11. T

    United States - Total wages and salaries, BLS: Timing adjustment for accrual...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 8, 2020
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    TRADING ECONOMICS (2020). United States - Total wages and salaries, BLS: Timing adjustment for accrual basis [Dataset]. https://tradingeconomics.com/united-states/total-wages-and-salaries-bls-timing-adjustment-for-accrual-basis-fed-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Mar 8, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Total wages and salaries, BLS: Timing adjustment for accrual basis was 0.00000 Bil. of $ in January of 2023, according to the United States Federal Reserve. Historically, United States - Total wages and salaries, BLS: Timing adjustment for accrual basis reached a record high of 0.22000 in January of 1984 and a record low of -0.44500 in January of 1983. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Total wages and salaries, BLS: Timing adjustment for accrual basis - last updated from the United States Federal Reserve on July of 2025.

  12. Consumer Price Index in Denver, CO

    • kaggle.com
    Updated Aug 22, 2017
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    US Bureau of Labor Statistics (2017). Consumer Price Index in Denver, CO [Dataset]. https://www.kaggle.com/bls/denver-cpi/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 22, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    US Bureau of Labor Statistics
    License

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

    Area covered
    Colorado, Denver
    Description

    Context:

    The Consumer Price Indexes (CPI) program produces monthly data on changes in the prices paid by urban consumers for a representative basket of goods and services. It is a useful way to compare changes in the economy across time.

    Content:

    This data covers Jan 1913-May 2017, and is normalized to “CPI-U all items 1982-84=100, not seasonally adjusted”. Fields include time of measurement and CPI score.

    Acknowledgements:

    This dataset was compiled on behalf of the Bureau of Labor Statistics (BLS) via Colorado Department of Labor & Employment (CDLE) and hosted on data.colorado.gov.

    Inspiration:

    • What periods of time have seen the highest/lowest CPI?
    • When has inflation been the worse?
    • Can you predict present CPI?
  13. F

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

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2015
    + more versions
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    (2015). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254641600A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2015
    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: Economists occupations: 16 years and over: Men (LEU0254641600A) from 2000 to 2011 about second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  14. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 3, 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, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  15. U.S. seasonally adjusted unemployment rate 2023-2025

    • statista.com
    • ai-chatbox.pro
    Updated Mar 11, 2025
    + more versions
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    Statista (2025). U.S. seasonally adjusted unemployment rate 2023-2025 [Dataset]. https://www.statista.com/statistics/273909/seasonally-adjusted-monthly-unemployment-rate-in-the-us/
    Explore at:
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023 - Feb 2025
    Area covered
    United States
    Description

    The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In February 2025, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends. U.S. monthly unemployment rate According to the Bureau of Labor Statistics - the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics - unemployment decreased dramatically between 2010 and 2019. This trend of decreasing unemployment followed after a high in 2010 resulting from the 2008 financial crisis. However, after a smaller financial crisis due to the COVID-19 pandemic, unemployment reached 8.1 percent in 2020. As the economy recovered, the unemployment rate fell to 5.3 in 2021, and fell even further in 2022. Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In November 2023, the states with the highest (seasonally adjusted) unemployment rate were the Nevada and the District of Columbia. Unemployment was the lowest in Maryland, at 1.8 percent. Workers in the agricultural and related industries suffered the highest unemployment rate of any industry at seven percent in December 2023.

  16. T

    United States Non Farm Payrolls

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Non Farm Payrolls [Dataset]. https://tradingeconomics.com/united-states/non-farm-payrolls
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 3, 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
    Feb 28, 1939 - Jun 30, 2025
    Area covered
    United States
    Description

    Non Farm Payrolls in the United States increased by 147 thousand in June of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  17. 10.1007/s11162-022-09692-w

    • figshare.com
    txt
    Updated Apr 26, 2022
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    Serge Atherwood; Gabriela Sánchez-Soto (2022). 10.1007/s11162-022-09692-w [Dataset]. http://doi.org/10.6084/m9.figshare.19624023.v1
    Explore at:
    txtAvailable download formats
    Dataset updated
    Apr 26, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Serge Atherwood; Gabriela Sánchez-Soto
    License

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

    Description

    All data come from the National Longitudinal Study of Youth 1997 (NLSY97), a U.S. Bureau of Labor Statistics program. All credit for producing these data belongs to BLS.

    To reproduce the results presented in our article, please download all 43 files and then read the README file for important setup instructions.

  18. m

    Data from: Regime-dependent Price Puzzle in the Brazilian Economy: evidence...

    • data.mendeley.com
    Updated Aug 22, 2020
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    Regime-dependent Price Puzzle in the Brazilian Economy: evidence from VAR and FAVAR approaches. [Dataset]. https://data.mendeley.com/datasets/cy9hzxtz2h/1
    Explore at:
    Dataset updated
    Aug 22, 2020
    Authors
    GIULIANO FERREIRA
    License

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

    Description

    We investigate whether the price puzzle, found in previous empirical studies, consists of model misspecification or a feature of the economy. To analyze the anomaly, we estimate the central bank's reaction function through the standard VAR and FAVAR approaches, spanning the period from July 2003 to June 2018. The results suggest that the price puzzle stands out as a feature of the economy only at intervals of activity slowdown. The data consists of the 71 indicators potentially used by the Brazilian Central Bank in formulating monetary policy. Note that “SA” stands for series seasonally adjusted by the source and “*” denotes series seasonally adjusted by the Census X-13 ARIMA methodology (US Census Bureau). The transformation codes are: 1-No transformation; 2-First difference; 3-Logarithm; and 4-First difference of logarithm. The "S/F" stands for “Slow-moving” (S) and “Fast-moving” (F). The sources of the time series used in our study are as follows: the Brazilian Steel Institute (IBS), the State System of Data Analysis, Research and Unemployment Foundation (SEADE), the Center Foundation for Foreign Trade Studies (FUNCEX), the Brazilian Association of Financial and Capital Market Institutions (ANBIMA), the Institute of Applied Economic Research (IPEA), the National Confederation of Industry (CNI), the Brazilian Central Bank (BCB), the Brazilian Institute of Geography and Statistics (IBGE), the Brazilian Ministry of Labor (ML), the Brazilian Foreign Trade Secretary (FTS), the Brazilian stock market exchange (BMF Bovespa), the Getulio Vargas Foundation (FGV, Brazilian economic research institution), the JP Morgan, the Investing (US-based financial investment company), the US Bureau of Labor Statistics (BLS), the Federal Reserve Bank (FED), the Organization for Economic Cooperation and Development (OECD), and the International Monetary Fund (IMF). Importantly, the CDI is the average interest rate, indicative against which a representative group of banks makes unsecured loans to each other in the Brazilian financial market. The swap DI x Fixed Interest Rate is floating for a fixed swap contract . The IPCA, IPC, and INPC are consumer price indexes with different building methodologies. The IPADI is a producer price index. The INCC measures the changes in prices of the construction sector. The IPCA index is composed of free and state-regulated prices. The formers are determined by market supply and demand and comprise the prices of food, beverage, housing, household items, clothing, personal expenses, and education (IPCA Free Prices). The IPCA Free Tradable Prices index is composed of prices of goods that have free prices and are internationally traded. The IPCA Core Prices index is a measure that aims to capture the price trend, excluding the disturbances caused by temporary shocks. The IGPDI and IGPOG are both hybrid price indexes with different methodological approaches.

  19. T

    United States Job Quits Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States Job Quits Rate [Dataset]. https://tradingeconomics.com/united-states/job-quits-rate
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jun 15, 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
    Dec 31, 2000 - May 31, 2025
    Area covered
    United States
    Description

    Job Quits Rate in the United States increased to 2.10 percent in May from 2 percent in April of 2025. This dataset includes a chart with historical data for the United States Job Quits Rate.

  20. Union Membership & Coverage

    • kaggle.com
    Updated Sep 5, 2016
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    Meg Risdal (2016). Union Membership & Coverage [Dataset]. https://www.kaggle.com/mrisdal/union-membership-coverage/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 5, 2016
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Meg Risdal
    Description

    The United States Department of Labor tells us that "Labor Day, the first Monday in September, is a creation of the labor movement and is dedicated to the social and economic achievements of American workers. It constitutes a yearly national tribute to the contributions workers have made to the strength, prosperity, and well-being of our country."

    This database of state-level union membership and coverage from 1983 to 2015 was originally compiled by Barry Hirsch (Andrew Young School of Policy Studies, Georgia State University) and David Macpherson (Department of Economics, Trinity University). The database, available at unionstats.com provides private and public sector labor union membership, coverage, and density estimates compiled from the monthly household Current Population Survey (CPS) using BLS methods.

    Use of this data requires citation of the following paper which also includes a description of how the database was created: Barry T. Hirsch and David A. Macpherson, "Union Membership and Coverage Database from the Current Population Survey: Note," Industrial and Labor Relations Review, Vol. 56, No. 2, January 2003, pp. 349-54. (PDF).

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(2025). Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254588200A

Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Men

LEU0254588200A

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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: Economists occupations: 16 years and over: Men (LEU0254588200A) from 2000 to 2024 about occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

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