100+ datasets found
  1. Current Employment Statistics (CES)

    • data.ca.gov
    csv
    Updated Sep 19, 2025
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    California Employment Development Department (2025). Current Employment Statistics (CES) [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-2
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    csv(70705544), csv(70602263), csv(72314038)Available download formats
    Dataset updated
    Sep 19, 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 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.

  2. O*NET Database

    • onetcenter.org
    excel, mysql, oracle +2
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    National Center for O*NET Development, O*NET Database [Dataset]. https://www.onetcenter.org/database.html
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    oracle, sql server, text, mysql, excelAvailable download formats
    Dataset provided by
    Occupational Information Network
    License

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

    Area covered
    United States
    Dataset funded by
    US Department of Labor, Employment and Training Administration
    Description

    The O*NET Database contains hundreds of standardized and occupation-specific descriptors on almost 1,000 occupations covering the entire U.S. economy. The database, which is available to the public at no cost, is continually updated by a multi-method data collection program. Sources of data include: job incumbents, occupational experts, occupational analysts, employer job postings, and customer/professional association input.

    Data content areas include:

    • Worker Characteristics (e.g., Abilities, Interests, Work Styles)
    • Worker Requirements (e.g., Education, Knowledge, Skills)
    • Experience Requirements (e.g., On-the-Job Training, Work Experience)
    • Occupational Requirements (e.g., Detailed Work Activities, Work Context)
    • Occupation-Specific Information (e.g., Job Titles, Tasks, Technology Skills)

  3. d

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

    • catalog.data.gov
    • data.ct.gov
    • +2more
    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.

  4. d

    Employment, Unemployment, and Labor Force Data

    • catalog.data.gov
    • opendata.maryland.gov
    • +1more
    Updated Jun 21, 2025
    + more versions
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    opendata.maryland.gov (2025). Employment, Unemployment, and Labor Force Data [Dataset]. https://catalog.data.gov/dataset/employment-unemployment-and-labor-force-data
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    Dataset updated
    Jun 21, 2025
    Dataset provided by
    opendata.maryland.gov
    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.

  5. F

    All Employees, Federal

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 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 Aug 2025 about establishment survey, federal, government, employment, and USA.

  6. j

    Israeli Job Market Database

    • jobflow.co.il
    Updated Jul 23, 2025
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    (2025). Israeli Job Market Database [Dataset]. https://jobflow.co.il/
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    Dataset updated
    Jul 23, 2025
    Area covered
    Israel
    Description

    Comprehensive employment database containing detailed job market data covering all Israeli cities and industries, including real-time position availability, salary ranges, skill requirements, and employment trends across technology, finance, healthcare, and other key sectors

  7. T

    United States ADP Employment Change

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 30, 2025
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    TRADING ECONOMICS (2025). United States ADP Employment Change [Dataset]. https://tradingeconomics.com/united-states/adp-employment-change
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 2010 - Sep 30, 2025
    Area covered
    United States
    Description

    Private businesses in the United States fired -32 thousand workers in September of 2025 compared to -3 thousand in August of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  8. d

    Quarterly Census of Employment and Wages (QCEW) Historical Annual Data: 1975...

    • catalog.data.gov
    • data.ny.gov
    • +3more
    Updated Sep 15, 2023
    + more versions
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    State of New York (2023). Quarterly Census of Employment and Wages (QCEW) Historical Annual Data: 1975 - 2000 [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-historical-annual-data-1975-2000
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    Dataset updated
    Sep 15, 2023
    Dataset provided by
    State of New York
    Description

    The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI. Industry level data from 1975 to 2000 is reflective of the Standard Industrial Classification (SIC) codes.

  9. 2020 Better Jobs Index Database: Latin America

    • data.iadb.org
    xls
    Updated Apr 10, 2025
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    IDB Datasets (2025). 2020 Better Jobs Index Database: Latin America [Dataset]. http://doi.org/10.60966/prxb-w968
    Explore at:
    xls(300032)Available download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2010 - Jan 1, 2018
    Area covered
    Latin America
    Description

    The Better Jobs Index is a tool for comparative analysis of labor markets in Latin America. This index evaluates the state of employment in the region through two dimensions: quantity and quality, each comprising two indicators. The quantity dimension measures how many people wish to work (labor force participation) and how many are actually employed (employment rate). The quality dimension assesses how much of the work generated is registered in social security systems (formality) and how many workers earn wages sufficient to lift them above the poverty line (sufficient wages). Through the Better Jobs Index, the Inter-American Development Bank aims to provide countries with a new instrument to more effectively monitor employment conditions, facilitate cross-country comparisons, and promote policies that lead to more favorable employment conditions.

  10. Job Postings Dataset for Labour Market Research and Insights

    • datarade.ai
    Updated Sep 20, 2023
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    Oxylabs (2023). Job Postings Dataset for Labour Market Research and Insights [Dataset]. https://datarade.ai/data-products/job-postings-dataset-for-labour-market-research-and-insights-oxylabs
    Explore at:
    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset authored and provided by
    Oxylabs
    Area covered
    Zambia, British Indian Ocean Territory, Sierra Leone, Togo, Anguilla, Luxembourg, Jamaica, Tajikistan, Kyrgyzstan, Switzerland
    Description

    Introducing Job Posting Datasets: Uncover labor market insights!

    Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

    Job Posting Datasets Source:

    1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

    2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

    3. StackShare: Access StackShare datasets to make data-driven technology decisions.

    Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

    Choose your preferred dataset delivery options for convenience:

    Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

    Why Choose Oxylabs Job Posting Datasets:

    1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

    2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

    3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

    4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

    Pricing Options:

    Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

    Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

    Experience a seamless journey with Oxylabs:

    • Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
    • Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
    • Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
    • Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

    Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

  11. U

    United States Employment: NF: sa: PB: Title Abstract & Settlement Office

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Employment: NF: sa: PB: Title Abstract & Settlement Office [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm-sa/employment-nf-sa-pb-title-abstract--settlement-office
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: sa: PB: Title Abstract & Settlement Office data was reported at 64.200 Person th in May 2018. This records a decrease from the previous number of 64.500 Person th for Apr 2018. United States Employment: NF: sa: PB: Title Abstract & Settlement Office data is updated monthly, averaging 50.300 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 79.900 Person th in Jan 2006 and a record low of 29.400 Person th in Mar 1991. United States Employment: NF: sa: PB: Title Abstract & Settlement Office data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G026: Current Employment Statistics Survey: Employment: Non Farm: sa.

  12. s

    Academic/Research Physician Employment Database

    • salarydr.com
    Updated Sep 30, 2025
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    SalaryDr (2025). Academic/Research Physician Employment Database [Dataset]. https://www.salarydr.com/employment-types/academic
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    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    SalaryDr
    License

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

    Area covered
    United States
    Description

    Salary and employment data for academic/research physicians

  13. Current Employment Statistics (CES), Annual Average

    • data.ca.gov
    • catalog.data.gov
    csv
    Updated Jul 24, 2023
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    California Employment Development Department (2023). Current Employment Statistics (CES), Annual Average [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-annual-average
    Explore at:
    csv(16428998)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 annual average CES data for California statewide and areas from 1990 to 2024.

    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.

  14. s

    Practice Owner Dentist Employment Database

    • salarydr.com
    Updated Sep 24, 2025
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    SalaryDr (2025). Practice Owner Dentist Employment Database [Dataset]. https://www.salarydr.com/dental-employment-types/practice-owner
    Explore at:
    Dataset updated
    Sep 24, 2025
    Dataset authored and provided by
    SalaryDr
    License

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

    Time period covered
    2020 - 2025
    Area covered
    United States
    Description

    Comprehensive employment and salary data for practice owner dentists from 34 verified submissions

  15. 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
    Explore at:
    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

  16. s

    Associate Dentist Dentist Employment Database

    • salarydr.com
    Updated Sep 21, 2025
    + more versions
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    SalaryDr (2025). Associate Dentist Dentist Employment Database [Dataset]. https://www.salarydr.com/dental-employment-types/associate
    Explore at:
    Dataset updated
    Sep 21, 2025
    Dataset authored and provided by
    SalaryDr
    License

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

    Area covered
    United States
    Description

    Salary and employment data for associate dentist dentists

  17. F

    Employment Level

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). Employment Level [Dataset]. https://fred.stlouisfed.org/series/CE16OV
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 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 (CE16OV) from Jan 1948 to Aug 2025 about civilian, 16 years +, household survey, employment, and USA.

  18. g

    World Bank - Employment by economic activity

    • gimi9.com
    Updated Nov 12, 2018
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    (2018). World Bank - Employment by economic activity [Dataset]. https://gimi9.com/dataset/worldbank_ilo_emp/
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    Dataset updated
    Nov 12, 2018
    License

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

    Description

    International Labour Organization Employment Database serves as a unique worldwide reference and source of information on national employment policies, and strategies to promote youth employment. The data included in Data360 is a subset of the data available from the source. Please refer to the source for complete data and methodology details. This collection includes only a subset of indicators from the source dataset.

  19. m

    2025 Green Card Report for Information Systems Database Systems

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Information Systems Database Systems [Dataset]. https://www.myvisajobs.com/reports/green-card/major/information-systems-database-systems
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Major, Salary, Petitions Filed
    Description

    A dataset that explores Green Card sponsorship trends, salary data, and employer insights for information systems database systems in the U.S.

  20. U

    United States Employment: Management, Professional & Related

    • ceicdata.com
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    CEICdata.com, United States Employment: Management, Professional & Related [Dataset]. https://www.ceicdata.com/en/united-states/current-population-survey-employment
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    Employment: Management, Professional & Related data was reported at 61,349.000 Person th in Jun 2018. This records a decrease from the previous number of 62,360.000 Person th for May 2018. Employment: Management, Professional & Related data is updated monthly, averaging 46,418.000 Person th from Jan 1983 (Median) to Jun 2018, with 426 observations. The data reached an all-time high of 63,067.000 Person th in Mar 2018 and a record low of 28,533.000 Person th in Jan 1983. Employment: Management, Professional & Related data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G013: Current Population Survey: Employment.

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California Employment Development Department (2025). Current Employment Statistics (CES) [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-2
Organization logo

Current Employment Statistics (CES)

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csv(70705544), csv(70602263), csv(72314038)Available download formats
Dataset updated
Sep 19, 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/
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Description

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.

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