100+ datasets found
  1. Bureau of Labor Statistics Monthly Unemployment (latest 14 months)

    • covid-hub.gio.georgia.gov
    • prep-response-portal.napsgfoundation.org
    • +10more
    Updated Aug 16, 2022
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    Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://covid-hub.gio.georgia.gov/maps/993b8c64a67a4c6faa44a91846547786
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values.The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: December 2024 (preliminary values at the county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: March 17th, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

  2. d

    Department of Labor, Office of Research (Current Employment Statistics NSA...

    • catalog.data.gov
    • data.ct.gov
    • +3more
    Updated Aug 9, 2024
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    data.ct.gov (2024). Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current) [Dataset]. https://catalog.data.gov/dataset/department-of-labor-office-of-research-current-employment-statistics-nsa-1990-current
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    Dataset updated
    Aug 9, 2024
    Dataset provided by
    data.ct.gov
    Description

    Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

  3. U.S. civilian labor force seasonally adjusted 2022-2024

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). U.S. civilian labor force seasonally adjusted 2022-2024 [Dataset]. https://www.statista.com/statistics/193953/seasonally-adjusted-monthly-civilian-labor-force-in-the-us/
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    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    In October 2024, the civilian labor force amounted to 168.48 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.

  4. F

    All Employees: Manufacturing in Vermont

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2025
    + more versions
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    (2025). All Employees: Manufacturing in Vermont [Dataset]. https://fred.stlouisfed.org/series/VTMFG
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    jsonAvailable download formats
    Dataset updated
    Mar 18, 2025
    License

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

    Area covered
    Vermont
    Description

    Graph and download economic data for All Employees: Manufacturing in Vermont (VTMFG) from Jan 1990 to Jan 2025 about VT, manufacturing, employment, and USA.

  5. HR U.S. Bureau of Labor Statistics Turnover

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    application/rdfxml +5
    Updated Mar 27, 2025
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    U.S. Bureau of Labor Statistics (2025). HR U.S. Bureau of Labor Statistics Turnover [Dataset]. https://open.piercecountywa.gov/Government/HR-U-S-Bureau-of-Labor-Statistics-Turnover/9h52-qp7q
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    xml, csv, json, tsv, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Bureau of Labor Statistics
    Area covered
    United States
    Description

    Job Openings and Labor Turnover Survey data from the U.S. Bureau of Labor Statistics

  6. F

    All Employees, Federal

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
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    (2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001
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    jsonAvailable download formats
    Dataset updated
    Mar 7, 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 Feb 2025 about establishment survey, federal, government, employment, and USA.

  7. Data from: Quarterly Census of Employment and Wages

    • icpsr.umich.edu
    Updated Oct 22, 2015
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    United States Department of Labor. Bureau of Labor Statistics (2015). Quarterly Census of Employment and Wages [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36312
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    Dataset updated
    Oct 22, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36312/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36312/terms

    Area covered
    United States
    Description

    The Quarterly Census of Employment and Wages (QCEW) program is a cooperative program involving the Bureau of Labor Statistics (BLS) of the United States Department of Labor and the State Employment Security Agencies (SESAs). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by State unemployment insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Publicly available data files include information on the number of establishments, monthly employment, and quarterly wages, by NAICS industry, by county, by ownership sector, for the entire United States. These data are aggregated to annual levels, to higher industry levels (NAICS industry groups, sectors, and supersectors), and to higher geographic levels (national, State, and Metropolitan Statistical Area (MSA)). To download and analyze QCEW data, users can begin on the QCEW Databases page. Downloadable data are available in formats such as text and CSV. Data for the QCEW program that are classified using the North American Industry Classification System (NAICS) are available from 1990 forward, and on a more limited basis from 1975 to 1989. These data provide employment and wage information for arts-related NAICS industries, such as: Arts, entertainment, and recreation (NAICS Code 71) Performing arts and spectator sports Museums, historical sites, zoos, and parks Amusements, gambling, and recreation Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic design services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, book and music stores Book, periodical, and music stores Art dealers For years 1975-2000, data for the QCEW program provide employment and wage information for arts-related industries are based on the Standard Industrial Classification (SIC) system. These arts-related SIC industries include the following: Book stores (SIC 5942) Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums, Botanical, Zoological Gardens (SIC Code 84) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Services (SIC Code 78) The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit NAICS industry at the national, state, and county levels. At the national level, the QCEW program provides employment and wage data for almost every NAICS industry. At the State and area level, the QCEW program provides employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. Employment data under the QCEW program represent the number of covered workers who worked during, or received pay for, the pay period including the 12th of the month. Excluded are members of the armed forces, the self-employed, proprietors, domestic workers, unpaid family workers, and railroad workers covered by the railroad unemployment insurance system. Wages represent total compensation paid during the calendar quarter, regardless of when services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans). The QCEW program does provide partial information on agricultural industries and employees in private households. Data from the QCEW program serve as an important source for many BLS programs. The QCEW data are used as the benchmark source for employment by the Current Employment Statistics program and the Occupational Employment Statistics program. The UI administrative records collected under the QCEW program serve as a sampling frame for BLS establishment surveys. In addition, data from the QCEW program serve as a source to other Federal and State programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses QCEW data as the base for developing the wage and salary component of personal income. The Employment and Training Administration (ETA) of the Department of Labor and the SESAs use QCEW data to administer the employment security program. The QCEW data accurately reflect the ex

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

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. youth unemployment rate seasonally adjusted 2023-2025 [Dataset]. https://www.statista.com/statistics/217448/seasonally-adjusted-monthly-youth-unemployment-rate-in-the-us/
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    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

    Youth unemployment stood at 9.7 percent in February 2025. Seasonal adjustment is a statistical method for removing the seasonal component of a time series that is used when analyzing non-seasonal trends. The unemployment rate by state can be found here, and the annual national unemployment rate can be found here. Youth unemployment in the United States The United States Bureau of Labor Statistics track unemployment of persons between the ages of 16 and 24 years each month. In analyzing the data, the Bureau of Labor Statistics performed a seasonal adjustment—removing seasonal influences from the time series, such that one month’s rate of unemployment could be analyzed in comparison with another month’s rate of unemployment. During the period in question, youth unemployment ranged from a high of 9.9 percent in April 2021, to a low of 6.5 percent in April 2023. The national youth unemployment rate can be compared to the monthly national unemployment rate in the United States, although youth unemployment tends to be much higher due to higher rates of participation in education. In May 2023, U.S. unemployment was at 3.7 percent, compared with 7.4 percent amongst those 16 to 24 years old. Additionally, as of May 2023, Nevada had the highest state unemployment rate of all U.S. states, at 5.4 percent.

  9. Data from: Occupational Employment Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
    + more versions
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    United States Department of Labor. Bureau of Labor Statistics (2015). Occupational Employment Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36219
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    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36219/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36219/terms

    Area covered
    Virgin Islands of the United States, Guam, United States, Puerto Rico
    Description

    The Occupational Employment Statistics (OES) program conducts a semiannual survey designed to produce estimates of employment and wages for specific occupations. The OES program collects data on wage and salary workers in nonfarm establishments in order to produce employment and wage estimates for about 800 occupations. Data from self-employed persons are not collected and are not included in the estimates. The OES program produces these occupational estimates for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. The Bureau of Labor Statistics produces occupational employment and wage estimates for approximately 415 industry classifications at the national level. The industry classifications correspond to the sector, 3-, 4-, and selected 5- and 6-digit North American Industry Classification System (NAICS) industrial groups. The OES program surveys approximately 200,000 establishments per panel (every six months), taking three years to fully collect the sample of 1.2 million establishments. To reduce respondent burden, the collection is on a three-year survey cycle that ensures that establishments are surveyed at most once every three years. The estimates for occupations in nonfarm establishments are based on OES data collected for the reference months of May and November. The OES survey is a federal-state cooperative program between the Bureau of Labor Statistics (BLS) and State Workforce Agencies (SWAs). BLS provides the procedures and technical support, draws the sample, and produces the survey materials, while the SWAs collect the data. SWAs from all fifty states, plus the District of Columbia, Puerto Rico, Guam, and the Virgin Islands participate in the survey. Occupational employment and wage rate estimates at the national level are produced by BLS using data from the fifty states and the District of Columbia. Employers who respond to states' requests to participate in the OES survey make these estimates possible. The OES features several arts-related occupations, particularly in the Arts, Design, Entertainment, Sports, and Media Occupations group (Standard Occupational Classification (SOC) code 27-0000). Several featured occupation groups include the following: Art and Design Workers (SOC 27-1000) Art Directors Fine Artists, including Painters, Sculptors, and Illustrators Multimedia Artists and Animators Fashion Designers Graphic Designers Set and Exhibit Designers Entertainers and Performers, Sports and Related Workers (SOC 27-2000) Actors Producers and Directors Athletes Coaches and Scouts Dancers Choreographers Music Directors and Composers Musicians and Singers Media and Communication Workers (SOC 27-3000) Radio and Television Announcers Reports and Correspondents Public Relations Specialists Writers and Authors Data for years 1997 through the latest release and can be found on the OES Data page. Also, see OES News Releases sections for current estimates and news releases. Users can analyze the data for the nation as a whole, by state, by metropolitan or nonmetropolitan area, and by industry or ownership. As well, OES Charts are available. Users may also explore data using OES Maps. If preferred, data can also be accessed via the Multi-Screen Data Search or Text Files using the OES Databases page.

  10. Local Area Unemployment Statistics (LAUS), Annual Average

    • data.ca.gov
    • catalog.data.gov
    csv
    Updated Jul 24, 2023
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    Local Area Unemployment Statistics (LAUS), Annual Average [Dataset]. https://data.ca.gov/dataset/local-area-unemployment-statistics-laus-annual-average
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    csv(1469197)Available download formats
    Dataset updated
    Jul 24, 2023
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Description

    This dataset contains the Local Area Unemployment Statistics (LAUS), annual averages from 1990 to 2023.

    The Local Area Unemployment Statistics (LAUS) program is a Federal-State cooperative effort in which monthly estimates of total employment and unemployment are prepared for approximately 7,600 areas, including counties, cities and metropolitan statistical areas. These estimates are key indicators of local economic conditions.

    The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

    Estimates for counties are produced through a building-block approach known as the "Handbook method." This procedure also uses data from several sources, including the CPS, the CES program, state UI systems, and the Census Bureau's American Community Survey (ACS), to create estimates that are adjusted to the statewide measures of employment and unemployment. Estimates for cities are prepared using disaggregation techniques based on inputs from the ACS, annual population estimates, and current UI data.

  11. Employment, Unemployment, and Labor Force Data

    • opendata.maryland.gov
    • s.cnmilf.com
    • +3more
    application/rdfxml +5
    Updated Sep 20, 2019
    + more versions
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    U.S. Bureau of Labor Statistics (2019). Employment, Unemployment, and Labor Force Data [Dataset]. https://opendata.maryland.gov/Business-and-Economy/Employment-Unemployment-and-Labor-Force-Data/ub9y-b3wy
    Explore at:
    application/rdfxml, tsv, application/rssxml, csv, json, xmlAvailable download formats
    Dataset updated
    Sep 20, 2019
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Bureau of Labor Statistics
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This dataset uses seasonally adjusted data from the US Bureau of Labor Statistics to present information on Maryland's labor force participation rate, employment rate, and unemployment rate.

  12. Quarterly Census of Employment and Wages (QCEW)

    • data.ca.gov
    • catalog.data.gov
    csv
    Updated Mar 18, 2025
    + more versions
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    Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://data.ca.gov/dataset/quarterly-census-of-employment-and-wages
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    csv(122096044), csv(120584322), csv(123773669), csv(122409749), csv(94223356), csv(41493508)Available download formats
    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Description

    The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program.

    The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers.

    Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys.

    In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income.

    The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends.

    The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

  13. U.S. civilian labor force not seasonally adjusted 2022-2024

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). U.S. civilian labor force not seasonally adjusted 2022-2024 [Dataset]. https://www.statista.com/statistics/193956/unadjusted-monthly-civilian-labor-force-in-the-us/
    Explore at:
    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2022 - Oct 2024
    Area covered
    United States
    Description

    In October 2024, the number of people in the civilian labor force in the United States amounted to 168.57 million. 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. In other words, all Americans who are eligible to work in the everyday U.S. economy.

  14. DQS Health care employment and wages, by selected occupations: United States...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Feb 5, 2025
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    Centers for Disease Control and Prevention (2025). DQS Health care employment and wages, by selected occupations: United States [Dataset]. https://data.virginia.gov/dataset/dqs-health-care-employment-and-wages-by-selected-occupations-united-states
    Explore at:
    xsl, csv, rdf, jsonAvailable download formats
    Dataset updated
    Feb 5, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Data on health care employment and wages in the United States, by selected occupations. Data are from Health, United States. Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Employment and Wage Statistics. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

  15. T

    United States Employment Rate

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +16more
    csv, excel, json, xml
    Updated Feb 17, 2024
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    TRADING ECONOMICS (2024). United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Feb 17, 2024
    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 - Feb 28, 2025
    Area covered
    United States
    Description

    Employment Rate in the United States decreased to 59.90 percent in February from 60.10 percent in January of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. U.S. civilian labor force participation rate seasonally adjusted 2011-2024

    • statista.com
    Updated Nov 11, 2024
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    Statista (2024). U.S. civilian labor force participation rate seasonally adjusted 2011-2024 [Dataset]. https://www.statista.com/statistics/193961/seasonally-adjusted-monthly-civilian-labor-force-participation-rate-in-the-usa/
    Explore at:
    Dataset updated
    Nov 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2011 - Oct 2024
    Area covered
    United States
    Description

    In October 2024, about 62.7 percent of the United States civilian labor force participated in the job market. Civilian labor force is a term 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. In other words, all Americans who are eligible to work in the everyday U.S. economy.

  17. F

    All Employees, Skilled Nursing Care Facilities

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). All Employees, Skilled Nursing Care Facilities [Dataset]. https://fred.stlouisfed.org/series/CES6562310001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 7, 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, Skilled Nursing Care Facilities (CES6562310001) from Jan 1990 to Feb 2025 about nursing homes, nursing, health, establishment survey, education, services, employment, and USA.

  18. U.S. number of full-time employed men 1990-2024

    • statista.com
    Updated Jul 3, 2024
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    U.S. number of full-time employed men 1990-2024 [Dataset]. https://www.statista.com/topics/771/employment/
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    Dataset updated
    Jul 3, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2024, about 74.86 million men were employed on a full-time basis in the United States. This was a decrease from the previous year when the total number of full-time employed men in the U.S. came to 75.5 million.

  19. U

    United States AHE: sa: PW: FA: Heavy Machinery Rental & Leasing

    • ceicdata.com
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    United States AHE: sa: PW: FA: Heavy Machinery Rental & Leasing [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-hourly-earnings-production-workers-seasonally-adjusted
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    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, 2022 - Nov 1, 2023
    Area covered
    United States
    Description

    AHE: sa: PW: FA: Heavy Machinery Rental & Leasing data was reported at 30.260 USD in Nov 2023. This records a decrease from the previous number of 30.560 USD for Oct 2023. AHE: sa: PW: FA: Heavy Machinery Rental & Leasing data is updated monthly, averaging 19.450 USD from Jan 1990 (Median) to Nov 2023, with 407 observations. The data reached an all-time high of 33.870 USD in Feb 2023 and a record low of 9.930 USD in Jan 1990. AHE: sa: PW: FA: Heavy Machinery Rental & Leasing data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G063: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

  20. U

    United States AHE: sa: PW: EH: Vocational Rehabilitation Services

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    CEICdata.com, United States AHE: sa: PW: EH: Vocational Rehabilitation Services [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-hourly-earnings-production-workers-seasonally-adjusted
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    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Description

    AHE: sa: PW: EH: Vocational Rehabilitation Services data was reported at 20.240 USD in Jan 2025. This records an increase from the previous number of 20.150 USD for Dec 2024. AHE: sa: PW: EH: Vocational Rehabilitation Services data is updated monthly, averaging 8.950 USD from Jan 1972 (Median) to Jan 2025, with 637 observations. The data reached an all-time high of 20.240 USD in Jan 2025 and a record low of 1.480 USD in Jan 1972. AHE: sa: PW: EH: Vocational Rehabilitation Services data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G071: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

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Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://covid-hub.gio.georgia.gov/maps/993b8c64a67a4c6faa44a91846547786
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Bureau of Labor Statistics Monthly Unemployment (latest 14 months)

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Dataset updated
Aug 16, 2022
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
Description

This layer contains the latest 14 months of unemployment statistics from the U.S. Bureau of Labor Statistics (BLS). The data is offered at the nationwide, state, and county geography levels. Puerto Rico is included. These are not seasonally adjusted values.The layer is updated monthly with the newest unemployment statistics available from BLS. There are attributes in the layer that specify which month is associated to each statistic. Most current month: December 2024 (preliminary values at the county level)The attributes included for each month are:Unemployment rate (%)Count of unemployed populationCount of employed population in the labor forceCount of people in the labor forceData obtained from the U.S. Bureau of Labor Statistics. Data downloaded: March 17th, 2025Local Area Unemployment Statistics table download: https://www.bls.gov/lau/#tablesLocal Area Unemployment FTP downloads:State and CountyNationData Notes:This layer is updated automatically when the BLS releases their most current monthly statistics. The layer always contains the most recent estimates. It is updated within days of the BLS's county release schedule. BLS releases their county statistics roughly 2 months after-the-fact. The data is joined to 2023 TIGER boundaries from the U.S. Census Bureau.Monthly values are subject to revision over time.For national values, employed plus unemployed may not sum to total labor force due to rounding.As of the January 2022 estimates released on March 18th, 2022, BLS is reporting new data for the two new census areas in Alaska - Copper River and Chugach - and historical data for the previous census area - Valdez Cordova.As of the March 17th, 2025 release, BLS now reports data for 9 planning regions in Connecticut rather than the 8 previous counties.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

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