100+ datasets found
  1. State

    • center-for-community-investment-lincolninstitute.hub.arcgis.com
    • covid-hub.gio.georgia.gov
    • +11more
    Updated Aug 16, 2022
    + more versions
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    Esri (2022). State [Dataset]. https://center-for-community-investment-lincolninstitute.hub.arcgis.com/maps/esri::state-67
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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: November 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: February 3, 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 2021 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.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

  2. F

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

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Statisticians occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254478000A
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    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: Statisticians occupations: 16 years and over (LEU0254478000A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  3. 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
    Guam, United States, Puerto Rico, Virgin Islands of the United States
    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.

  4. 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.

  5. 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.

  6. r

    BLS Local Area Unemployment Statistics

    • redivis.com
    Updated Sep 15, 2020
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    (2020). BLS Local Area Unemployment Statistics [Dataset]. https://redivis.com/workflows/hf7f-axpcp82z5
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    Dataset updated
    Sep 15, 2020
    Description

    This table includes the Labor force data by county files for 2008, 2009, and 2010 annual averages. It comes from the U.S. Bureau of Labor Statistics Local Area Unemployment Statistics webpage.

  7. d

    Current Employment Statistics (CES), Annual Average

    • catalog.data.gov
    Updated Nov 27, 2024
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    California Employment Development Department (2024). Current Employment Statistics (CES), Annual Average [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-ces-annual-average-1990-2019
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Employment Development Department
    Description

    This dataset contains annual average CES data for California statewide and areas from 1990 - 2023. The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States. CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services. 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.

  8. Mass Layoff Statistics

    • catalog.data.gov
    • s.cnmilf.com
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Mass Layoff Statistics [Dataset]. https://catalog.data.gov/dataset/mass-layoff-statistics-12ff9
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Mass Layoff Statistics (MLS) program collects reports on mass layoff actions that result in workers being separated from their jobs. Monthly mass layoff numbers are from establishments which have at least 50 initial claims for unemployment insurance (UI) filed against them during a 5-week period. Extended mass layoff numbers (issued quarterly) are from a subset of such establishments—where private sector nonfarm employers indicate that 50 or more workers were separated from their jobs for at least 31 days. MLS was eliminated in 2013 under sequestration. For more information and data visit: https://www.bls.gov/mls/

  9. i

    Bureau of Labor Statistics Monthly Unemployment (latest 14 months) of...

    • indianamap.org
    Updated Aug 16, 2022
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    IndianaMap (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) of Indiana [Dataset]. https://www.indianamap.org/maps/f26611ce9bab4ed49dea0834b57ac4ec
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    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    IndianaMap
    Area covered
    Pacific Ocean, North Pacific Ocean
    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: October 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 theU.S. Bureau of Labor Statistics.Data downloaded: December 20, 2024Local 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 2021TIGER boundariesfrom theU.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.To better understand the different labor force statistics included in this map, see the diagram belowfrom BLS:

  10. d

    BLS Jobs by Industry Category

    • catalog.data.gov
    • opendata.maryland.gov
    • +5more
    Updated Nov 29, 2021
    + more versions
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    opendata.maryland.gov (2021). BLS Jobs by Industry Category [Dataset]. https://catalog.data.gov/dataset/bls-jobs-by-industry-category
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    Dataset updated
    Nov 29, 2021
    Dataset provided by
    opendata.maryland.gov
    Description

    Data from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.

  11. Employment and Labor Force - Monthly

    • data.mesaaz.gov
    • citydata.mesaaz.gov
    application/rdfxml +5
    Updated Mar 1, 2025
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    Bureau of Labor Statistics (2025). Employment and Labor Force - Monthly [Dataset]. https://data.mesaaz.gov/Economic-Development/Employment-and-Labor-Force-Monthly/3vbg-xf63
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    csv, xml, application/rssxml, tsv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    Monthly statistics regarding the labor force, employment and unemployment in Mesa and nearby municipalities. Unemployment rate sourced at BLS.gov Data Viewer. Employment Data - Bureau of Labor Statistics - http://www.bls.gov/data/ Local Area Unemployment Statistics (LAUS) - https://www.bls.gov/lau/ (See for next data release dates). To see how these terms are defined and what they include, please visit the Terms Glossary from the United State Department of Labor’s Bureau of Labor Statistics (BLS), which can be found at the following web address: http://www.bls.gov/bls/glossary.htm

  12. F

    Multiple Jobholders as a Percent of Employed

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Multiple Jobholders as a Percent of Employed [Dataset]. https://fred.stlouisfed.org/series/LNS12026620
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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 Multiple Jobholders as a Percent of Employed (LNS12026620) from Jan 1994 to Feb 2025 about multiple jobholders, 16 years +, percent, household survey, employment, and USA.

  13. U

    Labor force participation

    • dataverse-staging.rdmc.unc.edu
    tsv, txt
    Updated Apr 29, 2022
    + more versions
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    Carolina Tracker; Carolina Tracker (2022). Labor force participation [Dataset]. http://doi.org/10.15139/S3/1TFL7N
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    tsv(231983), tsv(531), txt(13538)Available download formats
    Dataset updated
    Apr 29, 2022
    Dataset provided by
    UNC Dataverse
    Authors
    Carolina Tracker; Carolina Tracker
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset from the Bureau of Labor Statistics provides monthly estimates regarding total employment and unemployment, which together comprise the labor force. Our data extract lists all data published for North Carolina’s counties from January 2019 to the present. This dataset is a comprehensive nationwide representation using estimates derived from the national Current Population Survey (CPS) and American Community Survey 5-year estimates. No disaggregations by demographic or worker characteristics are included in the labor force estimate. Time series reports for each variable (employment, unemployment, and labor force) are available for each geography (county) using the BLS multi-screen data tool. Preliminary estimates are released within 30 days of each month and finalized within another 30 days, resulting in a 2-month data lag. The data is available from BLS for a variety of geographic areas, including states, MSAs, counties, cities and towns, and other census regions.

  14. Business Employment Dynamics

    • catalog.data.gov
    • data.amerigeoss.org
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Business Employment Dynamics [Dataset]. https://catalog.data.gov/dataset/business-employment-dynamics-4a2f5
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Business Employment Dynamics (BED) is a set of statistics generated from the Quarterly Census of Employment and Wages (QCEW) program. These quarterly data series consist of gross job gains and gross job losses statistics from 1992 forward. These data help to provide a picture of the dynamic state of the labor market. For more information and data visit: https://www.bls.gov/bed/

  15. Quarterly Census of Employment and Wages (QCEW)

    • catalog.data.gov
    • data.ca.gov
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-a6fea
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    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.

  16. Local Area Unemployment Statistics (LAUS)

    • data.ca.gov
    • catalog.data.gov
    csv
    Updated Sep 25, 2023
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    California Employment Development Department (2023). Local Area Unemployment Statistics (LAUS) [Dataset]. https://data.ca.gov/dataset/local-area-unemployment-statistics-laus
    Explore at:
    csv(1283707), csv(22535910)Available download formats
    Dataset updated
    Sep 25, 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

    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.

    NOTE: The LAUS Seasonally Adjusted Benchmark 2023 data was last revised in 2024. The newly revised Benchmark 2024 data will be available in mid-2025.

  17. 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.

  18. O

    Data from: Local Area Unemployment Statistics

    • data.ct.gov
    • datasets.ai
    • +1more
    application/rdfxml +5
    Updated Mar 26, 2025
    + more versions
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    U.S. Bureau of Labor Statistics (2025). Local Area Unemployment Statistics [Dataset]. https://data.ct.gov/w/8b8f-kk4q/wqz6-rhce?cur=T3Uy0mVKywq
    Explore at:
    csv, tsv, xml, application/rssxml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    U.S. Bureau of Labor Statistics
    License

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

    Description

    The Local Area Unemployment Statistics (LAUS) program is a federal-state cooperative effort which produces monthly estimates of produces monthly and annual employment, unemployment, and labor force data for approximately 7,000 areas including Census regions and divisions, States, counties, metropolitan areas, and many cities.

    This dataset includes data for all 50 states, the District of Columbia, and Puerto Rico. To only see data for Connecticut, create a filter where "State name" is equal to "Connecticut".

    For more information on the LAUS program and data visit: https://www.bls.gov/lau/

    For more information from the CT Department of Labor visit: https://www1.ctdol.state.ct.us/lmi/LAUS/default.asp

  19. F

    Average Hourly Earnings of All Employees, Trade, Transportation, and...

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Trade, Transportation, and Utilities [Dataset]. https://fred.stlouisfed.org/series/CES4000000003
    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 Average Hourly Earnings of All Employees, Trade, Transportation, and Utilities (CES4000000003) from Mar 2006 to Feb 2025 about utilities, earnings, trade, transportation, establishment survey, hours, wages, employment, and USA.

  20. V

    Texas Workforce Development Areas (WDA) Wages

    • data.virginia.gov
    csv
    Updated Feb 28, 2024
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    Datathon 2024 (2024). Texas Workforce Development Areas (WDA) Wages [Dataset]. https://data.virginia.gov/dataset/texas-workforce-development-areas-wda-wages
    Explore at:
    csv(3340241)Available download formats
    Dataset updated
    Feb 28, 2024
    Dataset authored and provided by
    Datathon 2024
    Description

    The Bureau of Labor Statistics (BLS) calculates employment and wage estimates for every state, Metropolitan Statistical Area and Balance-of-State area in the United States. In order to better meet the needs of local users, the Occupational Employment and Wage Statistics (OEWS) staff in the Texas Labor Market Information Department of the Texas Workforce Commission (LMI) has produced wage estimates for geographic areas not produced by BLS. Workforce Development Areas (WDAs) are not published by BLS and are not, therefore, official BLS data series. Due to confidentiality and quality criteria, LMI cannot produce estimates for every occupation in every geographic area.

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Esri (2022). State [Dataset]. https://center-for-community-investment-lincolninstitute.hub.arcgis.com/maps/esri::state-67
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State

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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: November 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: February 3, 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 2021 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.To better understand the different labor force statistics included in this map, see the diagram below from BLS:

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