100+ datasets found
  1. F

    All Employees, Federal

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001
    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 All Employees, Federal (CES9091000001) from Jan 1939 to Jul 2025 about establishment survey, federal, government, employment, and USA.

  2. F

    All Employees, Government

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). All Employees, Government [Dataset]. https://fred.stlouisfed.org/series/USGOVT
    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 All Employees, Government (USGOVT) from Jan 1939 to Jul 2025 about establishment survey, government, employment, and USA.

  3. U.S. full-time employees unadjusted monthly number 2022-2024

    • statista.com
    Updated Nov 12, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). U.S. full-time employees unadjusted monthly number 2022-2024 [Dataset]. https://www.statista.com/statistics/192361/unadjusted-monthly-number-of-full-time-employees-in-the-us/
    Explore at:
    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    As of October 2024, there were 133.89 million full-time employees in the United States. This is a slight decrease from the previous month, when there were 134.15 million full-time employees. The impact COVID-19 on employment In December 2019, the COVID-19 virus began its spread across the globe. Since being classified as a pandemic, the virus caused a global health crisis that has taken the lives of millions of people worldwide. The COVID-19 pandemic changed many facets of society, most significantly, the economy. In the first years, many businesses across all industries were forced to shut down, with large numbers of employees being laid off. The economy continued its recovery in 2022 with the nationwide unemployment rate returning to a more normal 3.4 percent as of April 2023. Unemployment benefits Because so many people in the United States lost their jobs, record numbers of individuals applied for unemployment insurance for the first time. As an early response to this nation-wide upheaval, the government issued relief checks and extended the benefits paid by unemployment insurance. In May 2020, the amount of unemployment insurance benefits paid rose to 23.73 billion U.S. dollars. As of December 2022, this value had declined to 2.24 billion U.S. dollars.

  4. U.S. number of government employees 1982-2023

    • statista.com
    Updated Mar 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). U.S. number of government employees 1982-2023 [Dataset]. https://www.statista.com/statistics/204535/number-of-governmental-employees-in-the-us/
    Explore at:
    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, around 19.58 million people were working for state and local governments in the United States. This is much higher than the number of federal government (civilian) employees, which stood at about 2.87 million people in that year.

  5. F

    Current Number of Part-Time, Temporary, and Contract Employees; Percent of...

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Current Number of Part-Time, Temporary, and Contract Employees; Percent of Respondents Reporting No Change for Federal Reserve District 3: Philadelphia [Dataset]. https://fred.stlouisfed.org/series/NPBNNC156MSFRBPHI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Philadelphia
    Description

    Graph and download economic data for Current Number of Part-Time, Temporary, and Contract Employees; Percent of Respondents Reporting No Change for Federal Reserve District 3: Philadelphia (NPBNNC156MSFRBPHI) from Mar 2011 to Jul 2025 about contracts, FRB PHI District, part-time, percent, services, employment, and USA.

  6. W

    Monthly changes of the number of employees of the federal government in the...

    • cloud.csiss.gmu.edu
    xlsx
    Updated Jul 25, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    United Arab Emirates (2019). Monthly changes of the number of employees of the federal government in the operators of the system by nationality [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/monthly-number-of-employees-of-the-federal-government-in-the-operators-of-the-system-by-nationa
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 25, 2019
    Dataset provided by
    United Arab Emirates
    License

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

    Description

    Monthly changes of the number of employees of the federal government in the operators of the system by nationality

  7. F

    Current Number of Full-Time Permanent Employees; Percent of Respondents...

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Current Number of Full-Time Permanent Employees; Percent of Respondents Reporting No Change for Federal Reserve District 3: Philadelphia [Dataset]. https://fred.stlouisfed.org/series/NFBNNC156MSFRBPHI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Philadelphia
    Description

    Graph and download economic data for Current Number of Full-Time Permanent Employees; Percent of Respondents Reporting No Change for Federal Reserve District 3: Philadelphia (NFBNNC156MSFRBPHI) from Mar 2011 to Jul 2025 about FRB PHI District, full-time, percent, services, employment, and USA.

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

    • statista.com
    • ai-chatbox.pro
    Updated Mar 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  9. Advance Layoff Notice Data from the WARN Act

    • openicpsr.org
    Updated Nov 22, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Pawel Krolikowski; Kurt Lunsford (2021). Advance Layoff Notice Data from the WARN Act [Dataset]. http://doi.org/10.3886/E155161V5
    Explore at:
    Dataset updated
    Nov 22, 2021
    Dataset provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Authors
    Pawel Krolikowski; Kurt Lunsford
    License

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

    Area covered
    United States
    Description

    We collect novel and timely data from advance layoff notices filed under the Worker Adjustment and Retraining Notification (WARN) Act. The act requires larger employers to notify affected workers at least 60 days before a potential mass layoff. We assemble WARN data from across the United States, and for many large states our data begin in the 1990s. We aggregate these data into an unbalanced, monthly panel of the state-level number of workers affected by WARN notices, and we update this panel twice a month. We also aggregate this panel to a national-level indicator of job loss (the "WARN factor") using a dynamic factor model. Data CollectionWe update the data twice a month by collecting WARN notices from state websites. For many states, we have extended our historical data by using digital archives of the internet and contacting state officials. CitationTo learn more about the data and the dynamic factor model, see:Krolikowski, Pawel M. and Kurt G. Lunsford. 2022. “Advance Layoff Notices and Aggregate Job Loss.” Federal Reserve Bank of Cleveland, Working Paper no. 20-03R. https://doi.org/10.26509/frbc-wp-202003R.File DescriptionThe file labelled WARNFiles_YYYYMMDD.zip in the main directory contains our most recent data. All data included in this zip file were collected as of the date listed in the file name. Previous vintages of our data appear in the `Archived_Vintages’ folder, with the same naming convention. The zip files contain three files: 1. README.txt 2. WARNData_NSA_YYYYMMDD.csv This .csv contains the number of workers affected by WARN notices by state and month. These data are not seasonally adjusted. These data are the input into the dynamic factor model. 3. WARNFactors_YYYYMMDD.csv This .csv contains the output of the dynamic factor model. The output is labeled as follows: WARN Factor: the estimates of the factor from the dynamic factor model. MSE: the estimated mean squared errors of the WARN factor. WARN_hat: the number of workers affected by WARN notices as implied by the WARN factor. WARN_sum: the sum of the number of workers affected by WARN notices from several states that form a balanced panel beginning in January 2006. These states can change every update.DisclaimerThese data are updated by the authors and are not an official product of the Federal Reserve Bank of Cleveland.

  10. G

    Employment by class of worker, monthly, seasonally adjusted and unadjusted

    • open.canada.ca
    • ouvert.canada.ca
    csv, html, xml
    Updated Jul 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statistics Canada (2025). Employment by class of worker, monthly, seasonally adjusted and unadjusted [Dataset]. https://open.canada.ca/data/en/dataset/a5362e9d-f712-4ba9-809e-866506ca38b7
    Explore at:
    html, xml, csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    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

    Number of employees by class of worker and gender. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

  11. F

    Employed, Usually Work Full Time

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Employed, Usually Work Full Time [Dataset]. https://fred.stlouisfed.org/series/LNS12500000
    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 Employed, Usually Work Full Time (LNS12500000) from Jan 1968 to Jul 2025 about full-time, 16 years +, household survey, employment, and USA.

  12. U

    United States MBOS Diffusion Index: Average Employee Workweek: No Change

    • ceicdata.com
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States MBOS Diffusion Index: Average Employee Workweek: No Change [Dataset]. https://www.ceicdata.com/en/united-states/third-district-manufacturing-business-outlook-survey/mbos-diffusion-index-average-employee-workweek-no-change
    Explore at:
    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
    May 1, 2019 - Apr 1, 2020
    Area covered
    United States
    Variables measured
    Business Outlook Survey
    Description

    United States MBOS Diffusion Index: Average Employee Workweek: Number Change data was reported at 42.900 % in Apr 2020. This records a decrease from the previous number of 75.400 % for Mar 2020. United States MBOS Diffusion Index: Average Employee Workweek: Number Change data is updated monthly, averaging 69.700 % from May 1968 to Apr 2020, with 624 observations. The data reached an all-time high of 97.400 % in Feb 1978 and a record low of 42.900 % in Apr 2020. United States MBOS Diffusion Index: Average Employee Workweek: Number Change data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s United States – Table US.S011: Third District Manufacturing Business Outlook Survey. [COVID-19-IMPACT]

  13. F

    All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/MANEMP
    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 All Employees, Manufacturing (MANEMP) from Jan 1939 to Jul 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

  14. F

    All Employees, State Government

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). All Employees, State Government [Dataset]. https://fred.stlouisfed.org/series/CES9092000001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 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, State Government (CES9092000001) from Jan 1955 to Jun 2025 about establishment survey, government, employment, and USA.

  15. United States TMOS: Number of Employees: No Change

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States TMOS: Number of Employees: No Change [Dataset]. https://www.ceicdata.com/en/united-states/texas-manufacturing-outlook-survey/tmos-number-of-employees-no-change
    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
    May 1, 2019 - Apr 1, 2020
    Area covered
    United States
    Variables measured
    Enterprises Survey
    Description

    United States TMOS: Number of Employees: Number Change data was reported at 70.200 % in Apr 2020. This records an increase from the previous number of 69.400 % for Mar 2020. United States TMOS: Number of Employees: Number Change data is updated monthly, averaging 67.300 % from Jun 2004 (Median) to Apr 2020, with 191 observations. The data reached an all-time high of 82.400 % in Dec 2014 and a record low of 39.800 % in Mar 2009. United States TMOS: Number of Employees: Number Change data remains active status in CEIC and is reported by Federal Reserve Bank of Dallas. The data is categorized under Global Database’s United States – Table US.S016: Texas Manufacturing Outlook Survey.

  16. United States TMOS: Future Number of Employees: No Change

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States TMOS: Future Number of Employees: No Change [Dataset]. https://www.ceicdata.com/en/united-states/texas-manufacturing-outlook-survey/tmos-future-number-of-employees-no-change
    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
    May 1, 2019 - Apr 1, 2020
    Area covered
    United States
    Variables measured
    Enterprises Survey
    Description

    United States TMOS: Future Number of Employees: Number Change data was reported at 51.900 % in Apr 2020. This records an increase from the previous number of 49.000 % for Mar 2020. United States TMOS: Future Number of Employees: Number Change data is updated monthly, averaging 55.900 % from Jun 2004 (Median) to Apr 2020, with 191 observations. The data reached an all-time high of 72.600 % in May 2012 and a record low of 29.900 % in Dec 2004. United States TMOS: Future Number of Employees: Number Change data remains active status in CEIC and is reported by Federal Reserve Bank of Dallas. The data is categorized under Global Database’s United States – Table US.S016: Texas Manufacturing Outlook Survey.

  17. United States TMOS: sa: Number of Employees: No Change

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). United States TMOS: sa: Number of Employees: No Change [Dataset]. https://www.ceicdata.com/en/united-states/texas-manufacturing-outlook-survey/tmos-sa-number-of-employees-no-change
    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
    May 1, 2019 - Apr 1, 2020
    Area covered
    United States
    Variables measured
    Enterprises Survey
    Description

    United States TMOS: sa: Number of Employees: Number Change data was reported at 73.000 % in Apr 2020. This records an increase from the previous number of 71.800 % for Mar 2020. United States TMOS: sa: Number of Employees: Number Change data is updated monthly, averaging 67.200 % from Jun 2004 (Median) to Apr 2020, with 191 observations. The data reached an all-time high of 78.400 % in May 2013 and a record low of 42.300 % in Mar 2009. United States TMOS: sa: Number of Employees: Number Change data remains active status in CEIC and is reported by Federal Reserve Bank of Dallas. The data is categorized under Global Database’s United States – Table US.S016: Texas Manufacturing Outlook Survey.

  18. T

    All Employees: Total Nonfarm in Massachusetts

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 25, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2020). All Employees: Total Nonfarm in Massachusetts [Dataset]. https://tradingeconomics.com/united-states/all-employees-total-nonfarm-in-massachusetts-3-month-average-change-thous-of-persons-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Feb 25, 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
    Massachusetts
    Description

    All Employees: Total Nonfarm in Massachusetts was 3.30000 3-month Average Chg., Thous. of Persons in June of 2025, according to the United States Federal Reserve. Historically, All Employees: Total Nonfarm in Massachusetts reached a record high of 75.10000 in August of 2020 and a record low of -225.80000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Total Nonfarm in Massachusetts - last updated from the United States Federal Reserve on August of 2025.

  19. F

    All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/USPRIV
    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 All Employees, Total Private (USPRIV) from Jan 1939 to Jul 2025 about headline figure, establishment survey, private industries, private, employment, industry, and USA.

  20. F

    Current Average Employee Workweek; Percent of Respondents Reporting No...

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Current Average Employee Workweek; Percent of Respondents Reporting No Change for Federal Reserve District 3: Philadelphia [Dataset]. https://fred.stlouisfed.org/series/AWBNNC156MSFRBPHI
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Philadelphia
    Description

    Graph and download economic data for Current Average Employee Workweek; Percent of Respondents Reporting No Change for Federal Reserve District 3: Philadelphia (AWBNNC156MSFRBPHI) from Mar 2011 to Jul 2025 about FRB PHI District, average, hours, percent, services, employment, and USA.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001

All Employees, Federal

CES9091000001

Explore at:
28 scholarly articles cite this dataset (View in Google Scholar)
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 All Employees, Federal (CES9091000001) from Jan 1939 to Jul 2025 about establishment survey, federal, government, employment, and USA.

Search
Clear search
Close search
Google apps
Main menu