100+ datasets found
  1. d

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

    • catalog.data.gov
    • data.ct.gov
    • +3more
    Updated Aug 9, 2024
    + more versions
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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
    Explore at:
    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.

  2. F

    Business Sector: Employment for All Workers

    • fred.stlouisfed.org
    json
    Updated May 8, 2025
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    (2025). Business Sector: Employment for All Workers [Dataset]. https://fred.stlouisfed.org/series/PRS84006011
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    jsonAvailable download formats
    Dataset updated
    May 8, 2025
    License

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

    Description

    Graph and download economic data for Business Sector: Employment for All Workers (PRS84006011) from Q1 1948 to Q1 2025 about productivity, sector, business, employment, rate, and USA.

  3. h

    Employee Motivation Statistics (2025)

    • high5test.com
    html
    Updated Apr 15, 2025
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    HIGH5 (2025). Employee Motivation Statistics (2025) [Dataset]. https://high5test.com/employee-motivation-statistics/
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    htmlAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    HIGH5
    License

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

    Description

    A comprehensive dataset featuring the latest employee motivation statistics, including factors influencing workplace motivation, engagement levels, productivity metrics, and psychological insights from various sources.

  4. F

    Employed full time: Wage and salary workers: Human resources workers...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Human resources workers occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0257855600A
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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: Human resources workers occupations: 16 years and over (LEU0257855600A) from 2011 to 2024 about human resources, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  5. d

    Quarterly Census of Employment and Wages Quarterly Data: Beginning 2000

    • catalog.data.gov
    • data.ny.gov
    • +1more
    Updated Jun 7, 2025
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    data.ny.gov (2025). Quarterly Census of Employment and Wages Quarterly Data: Beginning 2000 [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-quarterly-data-beginning-2000
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    Dataset updated
    Jun 7, 2025
    Dataset provided by
    data.ny.gov
    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.

  6. S

    Employee Layoff Statistics By Industry and Companies (2025)

    • sci-tech-today.com
    Updated Apr 28, 2025
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    Sci-Tech Today (2025). Employee Layoff Statistics By Industry and Companies (2025) [Dataset]. https://www.sci-tech-today.com/stats/employee-layoff-statistics-updated/
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    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Employee Layoff Statistics: Employee layoffs are a prevalent cost-cutting strategy employed by companies during economic downturns or organizational restructuring. In 2024, the technology sector alone witnessed over 136,000 job losses across 422 companies, with major firms like Intel, Cisco, and IBM implementing significant workforce reductions. Intel, for instance, announced plans to lay off 15,000 employees, constituting more than 15% of its workforce, as part of a USD 10 billion cost-reduction initiative.

    The financial implications of layoffs extend beyond severance packages. For example, when Meta Platforms Inc. laid off 11,000 employees in November 2022, it incurred approximately USD 975 million in severance costs, averaging over USD 88,000 per employee. Additionally, companies often face indirect costs such as decreased productivity among remaining staff, increased turnover, and higher unemployment insurance taxes.

    In India, the impact of layoffs has been significant as well. By August 2024, at least 8,000 individuals had been affected by job cuts, with companies like Paytm announcing reductions of up to 3,500 employees. Furthermore, Reliance Industries reportedly reduced its workforce by 11%, equating to approximately 42,000 jobs, to enhance cost efficiency.

    These figures underscore the widespread and multifaceted impact of layoffs on both organizations and employees, highlighting the importance of strategic planning and support mechanisms during such transitions. This article includes recent trends and facts from insights gathered in 2024 and 2025. Let's delve into key statistics to get a clearer picture of the topic.

  7. F

    All Employees, Federal

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/graph/?id=CES9091000001
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for All Employees, Federal from Jan 1939 to Jun 2025 about establishment survey, federal, government, employment, and USA.

  8. Employment by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Mar 27, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employment by industry, annual [Dataset]. http://doi.org/10.25318/1410020201-eng
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    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.

  9. All Employee Census Survey (AES)

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated Apr 21, 2021
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    Department of Veterans Affairs (2021). All Employee Census Survey (AES) [Dataset]. https://catalog.data.gov/dataset/all-employee-census-survey-aes
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    Dataset updated
    Apr 21, 2021
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The Office of Personnel Management requires government agencies, at a minimum, to query employees on job satisfaction, organizational assessment and organizational culture. VHA maintains response data for all census surveys such as the Voice of VA as well as the VA Entrance and Exit surveys.

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

    • statista.com
    Updated Oct 15, 2022
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    Statista (2022). 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
    Oct 15, 2022
    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.

  11. F

    All Employees, Computing Infrastructure Providers, Data Processing, Web...

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). All Employees, Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services [Dataset]. https://fred.stlouisfed.org/series/CES5051800001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for All Employees, Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (CES5051800001) from Jan 1990 to Jun 2025 about information, establishment survey, services, employment, and USA.

  12. T

    Gender Breakdown of City Workers by Department

    • controllerdata.lacity.org
    • data.lacity.org
    • +1more
    application/rdfxml +5
    Updated Apr 7, 2016
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    Controller (2016). Gender Breakdown of City Workers by Department [Dataset]. https://controllerdata.lacity.org/Statistics/Gender-Breakdown-of-City-Workers-by-Department/q45p-mx3u
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    csv, json, application/rdfxml, application/rssxml, xml, tsvAvailable download formats
    Dataset updated
    Apr 7, 2016
    Dataset authored and provided by
    Controller
    License

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

    Description

    Analysis of 2015 full-time employee earnings by gender across the various Departments of the City of Los Angeles.

  13. S

    Employee Wellness Statistics And Facts (2025)

    • sci-tech-today.com
    Updated Apr 29, 2025
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    Sci-Tech Today (2025). Employee Wellness Statistics And Facts (2025) [Dataset]. https://www.sci-tech-today.com/stats/employee-wellness-statistics-updated/
    Explore at:
    Dataset updated
    Apr 29, 2025
    Dataset authored and provided by
    Sci-Tech Today
    License

    https://www.sci-tech-today.com/privacy-policyhttps://www.sci-tech-today.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Employee Wellness Statistics: Employee wellness Statistics have gained more significance in the modern workplace as companies acknowledge the benefits of having a healthy workforce. These programs aim to improve employees' physical, psychological, and emotional wellness, resulting in increased productivity, reduced absenteeism levels, and general job satisfaction. The global employee wellness market was valued at approximately $58.7 billion US dollars in 2023, showing an increase from the previous year’s value.

    This upsurge is due to the ever-growing awareness among employers regarding investing in their own workers’ health and wellness. Such measures are expected to raise this figure to about $63.2 billion US dollars by 2024, representing a 7.7% year-over-year growth rate.

    In this article, we shall look at employee wellness statistics for 2023 and 2024 from a market researcher perspective, showing trends, expenditure patterns, and, more importantly, their impact on these programs.

  14. United States Private Employee: LIB: Workers in Service Producing Industries...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Private Employee: LIB: Workers in Service Producing Industries [Dataset]. https://www.ceicdata.com/en/united-states/employee-benefits-survey-private-industry/private-employee-lib-workers-in-service-producing-industries
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2006 - Mar 1, 2017
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Private Employee: LIB: Workers in Service Producing Industries data was reported at 51.000 % in 2017. This stayed constant from the previous number of 51.000 % for 2016. United States Private Employee: LIB: Workers in Service Producing Industries data is updated yearly, averaging 52.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 54.000 % in 2010 and a record low of 44.000 % in 2003. United States Private Employee: LIB: Workers in Service Producing Industries 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.G076: Employee Benefits Survey: Private Industry.

  15. Global employer and employee hybrid work trends post COVID-19 2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Global employer and employee hybrid work trends post COVID-19 2021 [Dataset]. https://www.statista.com/statistics/1226730/global-hybrid-work-trends-employee-employer-post-pandemic/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 12, 2021 - Jan 25, 2021
    Area covered
    Worldwide
    Description

    In 2021, ** percent of employees from a global survey want flexible remote work options to stay post-pandemic. As businesses around the world sent their employees into home office and remote work setups during the 2020 COVID-19 pandemic, both employees and employers have become accustomed to this new work situation. As a result, they appreciate the positive aspects and would like to retain them in the future.

  16. d

    Employment, Unemployment, and Labor Force Data

    • catalog.data.gov
    • opendata.maryland.gov
    • +2more
    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
    Explore at:
    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.

  17. Female employees in companies globally 2024, by employment level

    • statista.com
    Updated Jul 14, 2025
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    Statista (2025). Female employees in companies globally 2024, by employment level [Dataset]. https://www.statista.com/statistics/1246474/women-employment-level-globally/
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    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Worldwide
    Description

    In 2024, women constituted ** percent of executives worldwide. Female employees made up a far higher share of the workforce compared to CEOs, with ** percent compared to only ***** percent, respectively.

  18. F

    Employment Level

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). Employment Level [Dataset]. https://fred.stlouisfed.org/series/CE16OV
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

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

    Description

    Graph and download economic data for Employment Level (CE16OV) from Jan 1948 to Jun 2025 about civilian, 16 years +, household survey, employment, and USA.

  19. F

    All Employees: Government in Montana

    • fred.stlouisfed.org
    json
    Updated May 22, 2025
    + more versions
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    (2025). All Employees: Government in Montana [Dataset]. https://fred.stlouisfed.org/series/MTGOVTN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 22, 2025
    License

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

    Area covered
    Montana
    Description

    Graph and download economic data for All Employees: Government in Montana (MTGOVTN) from Jan 1990 to Apr 2025 about MT, government, employment, and USA.

  20. l

    Employee Demographics

    • data.longbeach.gov
    csv, excel, json
    Updated Jul 14, 2025
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    (2025). Employee Demographics [Dataset]. https://data.longbeach.gov/explore/dataset/employee-demographics/
    Explore at:
    csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 14, 2025
    License

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

    Description

    Employee demographic data produced by City of Long Beach Human Resources Department.

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Email
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Cite
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

Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current)

Explore at:
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.

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