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

    • prep-response-portal.napsgfoundation.org
    • covid-hub.gio.georgia.gov
    • +10more
    Updated Aug 16, 2022
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    Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://prep-response-portal.napsgfoundation.org/maps/993b8c64a67a4c6faa44a91846547786
    Explore at:
    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

    BLS Jobs by Industry Category

    • catalog.data.gov
    • opendata.maryland.gov
    • +5more
    Updated Nov 29, 2021
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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.

  3. BLS Local Area Unemployment Statistics

    • redivis.com
    application/jsonl +7
    Updated Aug 6, 2020
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    Redivis Demo Organization (2020). BLS Local Area Unemployment Statistics [Dataset]. https://redivis.com/datasets/j988-dr0y9q9sq
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    parquet, stata, arrow, avro, sas, csv, spss, application/jsonlAvailable download formats
    Dataset updated
    Aug 6, 2020
    Dataset provided by
    Redivis Inc.
    Authors
    Redivis Demo Organization
    Time period covered
    Jan 1, 2008 - Dec 31, 2010
    Description

    Abstract

    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.

    Documentation

    The following key changes have been made to the original source file.

    • The original source table has been merged with a county crosswalk table so that it now includes both SSA and FIPS county/state codes (instead of just FIPS codes).
    • There is a new population variable in the table that measures the population by county.
    • The data does not include the Labor Force, Employed, or Unemployed variables and instead solely features the Unemployment Rate.

    %3C!-- --%3E

    For more information on the publicly available source data, see the Bureau of Labor Statistics Local Area Unemployment Statistics webpage.

    Section 2

    Metadata access is required to view this section.

  4. BLS Employment data

    • kaggle.com
    Updated Jun 4, 2024
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    Taz V Hurst (2024). BLS Employment data [Dataset]. https://www.kaggle.com/datasets/tazvhurst/bls-employment-data/suggestions?status=pending&yourSuggestions=true
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Taz V Hurst
    Description

    Dataset

    This dataset was created by Taz V Hurst

    Contents

  5. Occupation, Salary and Likelihood of Automation

    • kaggle.com
    Updated May 24, 2020
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    Larxel (2020). Occupation, Salary and Likelihood of Automation [Dataset]. https://www.kaggle.com/datasets/andrewmvd/occupation-salary-and-likelihood-of-automation/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 24, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Larxel
    Description

    About this Dataset

    This dataset combines automation probability data with a breakdown of the number of jobs and salary in each occupation by state within the USA. Automation probability was acquired from the work of Carl Benedikt Freyand Michael A. Osborne; State employment data is from the Bureau of Labor Statistics. Note that for simplicity of analysis, all jobs where data was not available or there were less than 10 employees were marked as zero.

    How to Cite this Dataset

    If you use this dataset in your research, please credit the authors.

    Salary Data

    @misc{u.s. bureau of labor statistics, title={Occupational Employment Statistics}, url={https://www.bls.gov/oes/current/oes_nat.htm}, journal={U.S. BUREAU OF LABOR STATISTICS}}

    Automation Data

    @article{frey_osborne_2017, title={The future of employment: How susceptible are jobs to computerisation?}, volume={114}, DOI={10.1016/j.techfore.2016.08.019}, journal={Technological Forecasting and Social Change}, author={Frey, Carl Benedikt and Osborne, Michael A.}, year={2017}, pages={254–280}}

    License

    License was not specified at the source.

    Splash Banner

    Photo by Alex Knight on Unsplash

  6. F

    All Employees: Private Service Providing in Alabama

    • fred.stlouisfed.org
    json
    Updated Jan 29, 2025
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    (2025). All Employees: Private Service Providing in Alabama [Dataset]. https://fred.stlouisfed.org/series/SMU01000000800000001
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    jsonAvailable download formats
    Dataset updated
    Jan 29, 2025
    License

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

    Area covered
    Alabama
    Description

    Graph and download economic data for All Employees: Private Service Providing in Alabama (SMU01000000800000001) from Jan 1990 to Dec 2024 about AL, services, private, employment, and USA.

  7. F

    Hourly Compensation in Manufacturing, U.S. Dollar Basis, in Germany...

    • fred.stlouisfed.org
    json
    Updated Dec 10, 2012
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    (2012). Hourly Compensation in Manufacturing, U.S. Dollar Basis, in Germany (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/DEUHCMFN
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    jsonAvailable download formats
    Dataset updated
    Dec 10, 2012
    License

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

    Area covered
    Germany, United States
    Description

    Graph and download economic data for Hourly Compensation in Manufacturing, U.S. Dollar Basis, in Germany (DISCONTINUED) (DEUHCMFN) from 1950 to 2011 about compensation, Germany, hours, and manufacturing.

  8. F

    Employment for Information: Newspaper Publishers (NAICS 511110) in the...

    • fred.stlouisfed.org
    json
    Updated Apr 26, 2024
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    (2024). Employment for Information: Newspaper Publishers (NAICS 511110) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUJN511110W010000000
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    jsonAvailable download formats
    Dataset updated
    Apr 26, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Information: Newspaper Publishers (NAICS 511110) in the United States (IPUJN511110W010000000) from 1987 to 2023 about periodicals, printing, information, NAICS, IP, employment, and USA.

  9. F

    Manufacturing Sector: Implicit Price Deflator for All Employed Persons

    • fred.stlouisfed.org
    json
    Updated Dec 10, 2024
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    (2024). Manufacturing Sector: Implicit Price Deflator for All Employed Persons [Dataset]. https://fred.stlouisfed.org/series/PRS30006141
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    jsonAvailable download formats
    Dataset updated
    Dec 10, 2024
    License

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

    Description

    Graph and download economic data for Manufacturing Sector: Implicit Price Deflator for All Employed Persons (PRS30006141) from 1988 to 2021 about implicit price deflator, sector, manufacturing, rate, and USA.

  10. 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.

  11. g

    Occupational Outlook Handbook | gimi9.com

    • gimi9.com
    Updated Oct 25, 2017
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    (2017). Occupational Outlook Handbook | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_occupational-outlook-handbook-51009
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    Dataset updated
    Oct 25, 2017
    License

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

    Description

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

  12. 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.

  13. F

    Unemployment Rate in Ann Arbor, MI (MSA)

    • fred.stlouisfed.org
    json
    Updated Mar 21, 2025
    + more versions
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    (2025). Unemployment Rate in Ann Arbor, MI (MSA) [Dataset]. https://fred.stlouisfed.org/series/LAUMT261146000000003A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    License

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

    Area covered
    Ann Arbor, Michigan
    Description

    Graph and download economic data for Unemployment Rate in Ann Arbor, MI (MSA) (LAUMT261146000000003A) from 1990 to 2023 about Ann Arbor, MI, household survey, unemployment, rate, and USA.

  14. F

    Unemployment Rate in Chatham County, GA

    • fred.stlouisfed.org
    json
    Updated Mar 21, 2025
    + more versions
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    (2025). Unemployment Rate in Chatham County, GA [Dataset]. https://fred.stlouisfed.org/series/LAUCN130510000000003A
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    jsonAvailable download formats
    Dataset updated
    Mar 21, 2025
    License

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

    Area covered
    Georgia, Chatham County
    Description

    Graph and download economic data for Unemployment Rate in Chatham County, GA (LAUCN130510000000003A) from 1990 to 2023 about Chatham County, GA; Savannah; GA; unemployment; rate; and USA.

  15. F

    Hires: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Mar 11, 2025
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    (2025). Hires: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSHIL
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    jsonAvailable download formats
    Dataset updated
    Mar 11, 2025
    License

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

    Description

    Graph and download economic data for Hires: Total Nonfarm (JTSHIL) from Dec 2000 to Jan 2025 about hires, nonfarm, and USA.

  16. g

    Current Employment Statistics (CES), Annual Average | gimi9.com

    • gimi9.com
    Updated Jul 24, 2023
    + more versions
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    (2023). Current Employment Statistics (CES), Annual Average | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_current-employment-statistics-ces-annual-average-1990-2019
    Explore at:
    Dataset updated
    Jul 24, 2023
    License

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

    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.

  17. F

    Employment Level - 25-34 Yrs., Men

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Employment Level - 25-34 Yrs., Men [Dataset]. https://fred.stlouisfed.org/series/LNS12000164
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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 Employment Level - 25-34 Yrs., Men (LNS12000164) from Jan 1948 to Feb 2025 about 25 to 34 years, males, household survey, employment, and USA.

  18. g

    Bank Lending Survey Statistics - BLS

    • gimi9.com
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    Bank Lending Survey Statistics - BLS [Dataset]. https://gimi9.com/dataset/eu_bank-lending-survey-statistics-bls
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    License

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

    Description

    The main objective of the survey is to enhance the Eurosystem"s knowledge of bank lending conditions in the euro area. The BLS provides input for the ECB Governing Council"s assessment of monetary and economic developments, on which it bases its monetary policy decisions. It provides information on the lending policies of euro area banks and complements existing statistics on loans and bank lending rates with information on loan supply and demand for enterprises and households. The survey addresses issues such as credit standards for approving loans, as well as credit terms and conditions applied to new loans to enterprises and households. It also asks for an assessment of loan demand. The survey is addressed to senior loan officers of a representative sample of euro area banks and is conducted four times a year. The sample group participating in the survey comprises banks from all euro area countries and takes into account the characteristics of their respective national banking structures. For more information, please refer to the ECB website.

  19. F

    Unemployment Rate in Florida Municipio, PR

    • fred.stlouisfed.org
    json
    Updated May 1, 2024
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    (2024). Unemployment Rate in Florida Municipio, PR [Dataset]. https://fred.stlouisfed.org/series/LAUCN720540000000003A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 1, 2024
    License

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

    Area covered
    Florida
    Description

    Graph and download economic data for Unemployment Rate in Florida Municipio, PR (LAUCN720540000000003A) from 1990 to 2023 about unemployment, rate, and USA.

  20. F

    Output per Worker for Information: Software Publishers (NAICS 511210) in the...

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2024
    + more versions
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    (2024). Output per Worker for Information: Software Publishers (NAICS 511210) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPUJN511210W000000000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 27, 2024
    License

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

    Area covered
    United States
    Description

    Graph and download economic data for Output per Worker for Information: Software Publishers (NAICS 511210) in the United States (IPUJN511210W000000000) from 1987 to 2023 about software, printing, information, output, NAICS, IP, employment, and USA.

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Esri (2022). Bureau of Labor Statistics Monthly Unemployment (latest 14 months) [Dataset]. https://prep-response-portal.napsgfoundation.org/maps/993b8c64a67a4c6faa44a91846547786
Organization logo

Bureau of Labor Statistics Monthly Unemployment (latest 14 months)

Explore at:
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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