100+ datasets found
  1. F

    All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
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    (2025). All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/MANEMP
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    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

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

    Description

    Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Sep 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

  2. Occupational Outlook Handbook

    • catalog.data.gov
    • gimi9.com
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Occupational Outlook Handbook [Dataset]. https://catalog.data.gov/dataset/occupational-outlook-handbook-51009
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Occupational Outlook Handbook (OOH) is a nationally recognized source of career information, designed to provide valuable assistance to individuals making decisions about their future work lives. The Handbook is revised every two years. The OOH offers information on the hundreds of occupations that provide the majority of jobs in the United States. Each occupational profile describes the typical duties performed by the occupation, the work environment of that occupation, the typical education and training needed to enter the occupation, the median pay for workers in the occupation, and the job outlook over the coming decade for that occupation. For information on occupations, please visit: https://www.bls.gov/ooh/

  3. Data from: Job Openings and Labor Turnover Survey

    • catalog.data.gov
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Job Openings and Labor Turnover Survey [Dataset]. https://catalog.data.gov/dataset/job-openings-and-labor-turnover-survey-ac52c
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Job Openings and Labor Turnover Survey (JOLTS) program provides national estimates of rates and levels for job openings, hires, and total separations. Total separations are further broken out into quits, layoffs and discharges, and other separations. Unadjusted counts and rates of all data elements are published by supersector and select sector based on the North American Industry Classification System (NAICS). The number of unfilled jobs—used to calculate the job openings rate—is an important measure of the unmet demand for labor. With that statistic, it is possible to paint a more complete picture of the U.S. labor market than by looking solely at the unemployment rate, a measure of the excess supply of labor. Information on labor turnover is valuable in the proper analysis and interpretation of labor market developments and as a complement to the unemployment rate. For more information and data visit: https://www.bls.gov/jlt/

  4. T

    United States Employment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Sep 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
    Jan 31, 1948 - Sep 30, 2025
    Area covered
    United States
    Description

    Employment Rate in the United States increased to 59.70 percent in September from 59.60 percent in August of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. F

    All Employees, Health Care

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
    + more versions
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    (2025). All Employees, Health Care [Dataset]. https://fred.stlouisfed.org/series/CES6562000101
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

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

    Description

    Graph and download economic data for All Employees, Health Care (CES6562000101) from Jan 1990 to Sep 2025 about health, establishment survey, education, services, employment, and USA.

  6. F

    Job Openings: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Sep 30, 2025
    + more versions
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    (2025). Job Openings: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSJOL
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    jsonAvailable download formats
    Dataset updated
    Sep 30, 2025
    License

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

    Description

    Graph and download economic data for Job Openings: Total Nonfarm (JTSJOL) from Dec 2000 to Aug 2025 about job openings, vacancy, nonfarm, and USA.

  7. F

    All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
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    (2025). All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/USPRIV
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    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

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

    Description

    Graph and download economic data for All Employees, Total Private (USPRIV) from Jan 1939 to Sep 2025 about headline figure, establishment survey, private industries, private, employment, industry, and USA.

  8. Top fastest growing occupations U.S. 2022-2032

    • statista.com
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    Statista, Top fastest growing occupations U.S. 2022-2032 [Dataset]. https://www.statista.com/statistics/1469150/top-fastest-growing-occupations-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Between 2022 and 2032, the fastest growing jobs in the United States have been predicted to be ************************ and *******************. The growth rate was predicted by the U.S. Bureau of Labor Statistics as the highest projected percent change of employment. The United States was recently second in the list of leading countries by renewable energy consumption, so the demand for wind turbine technicians is perhaps understandably high.

  9. D

    Job Openings and Labor Turnover Survey (JOLTS) BLS

    • datalumos.org
    Updated Apr 24, 2025
    + more versions
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    Leah Whitesel (2025). Job Openings and Labor Turnover Survey (JOLTS) BLS [Dataset]. http://doi.org/10.3886/E227696V2
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    Data Rescue 4/24/25
    Authors
    Leah Whitesel
    License

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

    Time period covered
    Jan 2000 - Feb 2025
    Description

    Bureau of Labor Statistics - Job Openings and Labor Turnover Survey (JOLTS) 2000-2025From the BLS:Job Openings and Labor Turnover Survey Overview PageThe Job Openings and Labor Turnover Survey (JOLTS) is a monthly survey that has been developed to address the need for data on job openings, hires, and separations.PurposeThese data serve as demand-side indicators of labor shortages at the national level. Prior to JOLTS, there was no economic indicator of the unmet demand for labor with which to assess the presence or extent of labor shortages in the United States. The availability of unfilled jobs—the job openings rate—is an important measure of the tightness of job markets, parallel to existing measures of unemployment.ScopeData from a sample of approximately 21,000 U.S. business establishments are collected by the Bureau of Labor Statistics through JOLTS Data Collection Centers in Atlanta and Kansas City. The JOLTS survey covers all nonagricultural industries in the public and private sectors for the 50 States and the District of Columbia.Data ElementsJOLTS collects data on Total Employment, Job Openings, Hires, Quits, Layoffs & Discharges, and Other Separations. For more information on the JOLTS data elements, see the JOLTS data definitions page.Reference PeriodsTotal Employment - the pay period that includes the 12th of the month.Job Openings - the last business day of the month.Hires and Separations - the entire calendar month.

  10. U.S. unemployment rate 2025, by occupation

    • statista.com
    Updated Sep 15, 2025
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    Statista (2025). U.S. unemployment rate 2025, by occupation [Dataset]. https://www.statista.com/statistics/217782/unemployment-rate-in-the-united-states-by-occupation/
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2025
    Area covered
    United States
    Description

    In August 2025, the unemployment rate for those aged 16 and over in the United States came to 4.5 percent. Service occupations had an unemployment rate of 5.7 percent in that month. The underemployment rate of the country can be accessed here and the monthly unemployment rate here. Unemployment by occupation in the U.S. The United States Bureau of Labor Statistics publish data on the unemployment situation within certain occupations in the United States on a monthly basis. According to latest data released from May 2023, transportation and material moving occupations experienced the highest level of unemployment that month, with a rate of around 5.6 percent. Second ranked was farming, fishing, and forestry occupations with a rate of 4.9 percent. Total (not seasonally adjusted) unemployment was reported at 3.6 percent in March 2023. Other data on the U.S. unemployment rate by industry and class of worker shows comparable results. It should be noted that the data were not seasonally adjusted to account for normal seasonal fluctuations in unemployment. The monthly unemployment by occupation data can be compared to the seasonally adjusted monthly unemployment rate. In March 2023, the seasonally adjusted unemployment rate was 3.5 percent, which was an increase from the previous month. The annual unemployment rate in 2022 was 3.6 percent, down from a high of 9.6 in 2010. Unemployment in the United States trended downward after the coronavirus pandemic, and is now experiencing consistently low rates - a sign of economic stability. Individuals who opt to leave the workforce and stop looking for employment are not included among the unemployed. The civilian labor force participation rate in the U.S. rose to 62.2 percent in 2022, down from 67.1 percent in 2000, before the financial crisis.

  11. Total employment figures and unemployment rate in the United States...

    • statista.com
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    Statista, Total employment figures and unemployment rate in the United States 1980-2025 [Dataset]. https://www.statista.com/statistics/269959/employment-in-the-united-states/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2025, it was estimated that over 163 million Americans were in some form of employment, while 4.16 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

  12. F

    All Employees, Federal

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
    + more versions
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    (2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

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

    Description

    Graph and download economic data for All Employees, Federal (CES9091000001) from Jan 1939 to Sep 2025 about establishment survey, federal, government, employment, and USA.

  13. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Nov 20, 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
    Nov 20, 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 - Sep 30, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States increased to 4.40 percent in September from 4.30 percent in August 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.

  14. U.S. monthly change in private-sector employment 2023-2025

    • statista.com
    Updated Oct 9, 2025
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    Statista (2025). U.S. monthly change in private-sector employment 2023-2025 [Dataset]. https://www.statista.com/statistics/217715/monthly-change-in-private-sector-employment-in-the-us/
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    Dataset updated
    Oct 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2023 - Aug 2025
    Area covered
    United States
    Description

    In the United States, private nonfarm payroll employment increased by around 38,000 in August 2025 compared to the previous month. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.

  15. Wage Estimates

    • kaggle.com
    zip
    Updated Jun 29, 2017
    + more versions
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    US Bureau of Labor Statistics (2017). Wage Estimates [Dataset]. https://www.kaggle.com/bls/wage-estimates
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    zip(4529907 bytes)Available download formats
    Dataset updated
    Jun 29, 2017
    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 Occupational Employment Statistics (OES) and National Compensation Survey (NCS) programs have produced estimates by borrowing from the strength and breadth of each survey to provide more details on occupational wages than either program provides individually. Modeled wage estimates provide annual estimates of average hourly wages for occupations by selected job characteristics and within geographical location. The job characteristics include bargaining status (union and nonunion), part- and full-time work status, incentive- and time-based pay, and work levels by occupation.

    Direct estimates are based on survey responses only from the particular geographic area to which the estimate refers. In contrast, modeled wage estimates use survey responses from larger areas to fill in information for smaller areas where the sample size is not sufficient to produce direct estimates. Modeled wage estimates require the assumption that the patterns to responses in the larger area hold in the smaller area.

    The sample size for the NCS is not large enough to produce direct estimates by area, occupation, and job characteristic for all of the areas for which the OES publishes estimates by area and occupation. The NCS sample consists of 6 private industry panels with approximately 3,300 establishments sampled per panel, and 1,600 sampled state and local government units. The OES full six-panel sample consists of nearly 1.2 million establishments.

    The sample establishments are classified in industry categories based on the North American Industry Classification System (NAICS). Within an establishment, specific job categories are selected to represent broader occupational definitions. Jobs are classified according to the Standard Occupational Classification (SOC) system.

    Content:

    Summary: Average hourly wage estimates for civilian workers in occupations by job characteristic and work levels. These data are available at the national, state, metropolitan, and nonmetropolitan area levels.

    Frequency of Observations: Data are available on an annual basis, typically in May.

    Data Characteristics: All hourly wages are published to the nearest cent.

    Acknowledgements:

    This dataset was taken directly from the Bureau of Labor Statistics and converted to CSV format.

    Inspiration:

    This dataset contains the estimated wages of civilian workers in the United States. Wage changes in certain industries may be indicators for growth or decline. Which industries have had the greatest increases in wages? Combine this dataset with the Bureau of Labor Statistics Consumer Price Index dataset and find out what kinds of jobs you would need to afford your snacks and instant coffee!

  16. D

    Data from: Job Growth

    • catalog.dvrpc.org
    csv
    Updated Mar 17, 2025
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    DVRPC (2025). Job Growth [Dataset]. https://catalog.dvrpc.org/dataset/job-growth
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    csv(188567), csv(78623), csv(94938), csv(158079), csv(5828), csv(101043), csv(204458)Available download formats
    Dataset updated
    Mar 17, 2025
    Dataset provided by
    Delaware Valley Regional Planning Commissionhttps://www.dvrpc.org/
    Authors
    DVRPC
    License

    https://catalog.dvrpc.org/dvrpc_data_license.htmlhttps://catalog.dvrpc.org/dvrpc_data_license.html

    Description

    The U.S. Bureau of Economic Analysis’ Total Full-Time and Part-Time Employment data provides one of the most comprehensive, publicly available accountings of average annual employment. Beyond full- and part-time employment types, it includes farm employment and other sectors that aren’t always included in other sources, such as Public Administration (with more detail of federal than state and local employment in this category). It also includes and distinguishes both Wage and Salary employees from Proprietors who own their own unincorporated businesses and handle taxation chiefly as personal income. Proprietors tend to be single-person or small businesses and can include construction or repair workers, babysitters, ride-share drivers, artists, local grocers, housekeepers, various freelancers and consultants, and some attorneys and doctors.

  17. F

    Employed, Usually Work Full Time

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
    + more versions
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    (2025). Employed, Usually Work Full Time [Dataset]. https://fred.stlouisfed.org/series/LNS12500000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 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, Usually Work Full Time (LNS12500000) from Jan 1968 to Sep 2025 about full-time, 16 years +, household survey, employment, and USA.

  18. y

    US Unemployment Rate

    • ycharts.com
    html
    Updated Sep 5, 2025
    + more versions
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    Bureau of Labor Statistics (2025). US Unemployment Rate [Dataset]. https://ycharts.com/indicators/us_unemployment_rate
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1948 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Unemployment Rate
    Description

    View monthly updates and historical trends for US Unemployment Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCha…

  19. Data from: Local Area Unemployment Statistics

    • kaggle.com
    zip
    Updated Aug 15, 2023
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    Muhammad Usman (2023). Local Area Unemployment Statistics [Dataset]. https://www.kaggle.com/datasets/usmanlovescode/local-area-unemployment-statistics
    Explore at:
    zip(2979558 bytes)Available download formats
    Dataset updated
    Aug 15, 2023
    Authors
    Muhammad Usman
    Description

    The Local Area Unemployment Statistics (LAUS) program facilitates a comprehensive Federal-State collaboration to generate monthly estimates of total employment and unemployment for around 7,300 regions, encompassing counties, cities, and metropolitan statistical areas. These estimates serve as pivotal indicators of local economic health. Orchestrated by the U.S. Department of Labor's Bureau of Labor Statistics (BLS), this dataset offers essential insights into employment dynamics, aiding policymakers, economists, businesses, and researchers in understanding regional labor market trends.

    Use and Application: Economists and labor market analysts can use this dataset to analyze local employment and unemployment trends, assess economic disparities among different regions, and identify potential areas for job growth or intervention. Policymakers can make informed decisions about workforce development, job training programs, and economic policies. Businesses can gauge local labor market conditions to inform hiring strategies and expansion plans. Researchers can correlate employment trends with various socio-economic factors, contributing to studies on workforce dynamics. This dataset's nuanced view of employment and unemployment at the local level provides a foundation for targeted economic planning, strategic decision-making, and shaping policies to foster robust and inclusive regional economies.

  20. U.S. civilian labor force seasonally adjusted 2023-2025

    • statista.com
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    Statista, U.S. civilian labor force seasonally adjusted 2023-2025 [Dataset]. https://www.statista.com/statistics/193953/seasonally-adjusted-monthly-civilian-labor-force-in-the-us/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2023 - Aug 2025
    Area covered
    United States
    Description

    In August 2025, the civilian labor force amounted to 170.78 million people in the United States. The term civilian labor force is used by the U.S. Bureau of Labor Statistics (BLS) to describe the subset of Americans who have jobs or are seeking a job, are at least 16 years old, are not serving in the military, and are not institutionalized.

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(2025). All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/MANEMP

All Employees, Manufacturing

MANEMP

Explore at:
77 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Nov 20, 2025
License

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

Description

Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Sep 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

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