100+ datasets found
  1. Employee Benefits Survey

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Employee Benefits Survey [Dataset]. https://catalog.data.gov/dataset/employee-benefits-survey-d4c47
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    National Compensation Survey - Benefits produces comprehensive data on the incidence (the percentage of workers with access to and participation in employer provided benefit plans) and provisions of selected employee benefit plans. The Employee Benefits Survey (EBS) is an annual survey of the incidence and provisions of selected benefits provided by employers. The data are presented as a percentage of employees who participate in a certain benefit, or as an average benefit provision (for example, the average number of paid holidays provided to employees per year). The survey covers paid leave benefits such as holidays and vacations, and person, funeral, jury duty, military, parental, and sick leave; sickness and accident, long-term disability, and life insurance; medical, dental, and vision care plans; defined benefit pension and defined contribution plans; flexible benefits plans; reimbursement accounts; and unpaid parental leave. Also, data are tabulated on the incidence of several other benefits, such as severance pay, child-care assistance, wellness programs, and employee assistance programs. For more information and data visit: https://www.bls.gov/ebs/

  2. Importance level of employee benefits when looking for a new job in the U.S....

    • statista.com
    Updated Dec 15, 2022
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    Statista (2022). Importance level of employee benefits when looking for a new job in the U.S. in 2022 [Dataset]. https://www.statista.com/statistics/1362210/benefits-employees-prioritize-when-seeking-a-new-job-in-the-us/
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    Dataset updated
    Dec 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2022
    Area covered
    United States
    Description

    According to a survey conducted in the U.S. in 2022, ** percent of respondents would prioritize health insurance coverage they get through their employer when looking for a new job Retirement saving plan or **** at ** percent was the second most important employee benefit. This statistic reflects the level of importance of selected benefits for employees when looking for a new job in the U.S. in 2022.

  3. d

    Average Employee Benefit Cost Comparison

    • catalog.data.gov
    • data.ok.gov
    • +3more
    Updated Nov 22, 2024
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    data.ok.gov (2024). Average Employee Benefit Cost Comparison [Dataset]. https://catalog.data.gov/dataset/average-employee-benefit-cost-comparison-1ca06
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    data.ok.gov
    Description

    Breakdown of the employer benefits of the state’s package compared to those of the external labor market. The average cost is calculated based on the employers’ contribution in relation to the respective average state benchmark salary and the average market salary. For dental insurance, the 2012 Survey data not available. 2011 data has been escalated by 4.0% based on trend figures from the Sibson Consulting 2012 Health Plan Cost Trend Survey; for Basic Life Insurance & Disability Insurance, the data comes from the 2010/2011 Towers Watson Survey Report on Employee Benefits Policies & Practices; for sick leave accrual days, the data comes from the 2010/2011 Towers Watson Survey Report on Employee Benefits Policies & Practices; and for the market amount for defined benefit retirement plan, the data comes from the NASRA FY 2011 Public Fund Survey Report.

  4. Salaries and Employee Benefits Statistics - Managerial and Professional...

    • data.gov.hk
    Updated Dec 28, 2023
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    data.gov.hk (2023). Salaries and Employee Benefits Statistics - Managerial and Professional Employees (Excluding Top Management) - Table 220-25002 : Real Salary Indices (A) for middle-level managerial and professional employees by industry section (June 1995 = 100) | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-220-25002
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    data.gov.hk
    Description

    Salaries and Employee Benefits Statistics - Managerial and Professional Employees (Excluding Top Management) - Table 220-25002 : Real Salary Indices (A) for middle-level managerial and professional employees by industry section (June 1995 = 100)

  5. U

    United States Private Employee: PHB: Full-Time Workers

    • ceicdata.com
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    CEICdata.com, United States Private Employee: PHB: Full-Time Workers [Dataset]. https://www.ceicdata.com/en/united-states/employee-benefits-survey-private-industry/private-employee-phb-fulltime-workers
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    Dataset provided by
    CEICdata.com
    License

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

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

    United States Private Employee: PHB: Full-Time Workers data was reported at 90.000 % in 2017. This stayed constant from the previous number of 90.000 % for 2016. United States Private Employee: PHB: Full-Time Workers data is updated yearly, averaging 90.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 91.000 % in 2003 and a record low of 87.000 % in 2000. United States Private Employee: PHB: Full-Time Workers 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.

  6. Importance of employee benefits in the U.S. 2020

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Importance of employee benefits in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/941600/importance-employee-benefits-usa/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 17, 2020 - Dec 29, 2020
    Area covered
    United States
    Description

    Employees in the United States were asked about the importance of employee benefits towards the end of 2020, where more than half of the employees stated health insurance benefits were the most important. The second most important benefit was life insurance, according to ** percent of respondents.

  7. Employee Benefits Security Administration (EBSA) Enforcement Data

    • datalumos.org
    delimited
    Updated Feb 15, 2017
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    United States Department of Labor. Employee Benefits Security Administration (2017). Employee Benefits Security Administration (EBSA) Enforcement Data [Dataset]. http://doi.org/10.3886/E100438V1
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    delimitedAvailable download formats
    Dataset updated
    Feb 15, 2017
    Dataset provided by
    United States Department of Laborhttp://www.dol.gov/
    Employee Benefits Security Administrationhttps://www.dol.gov/agencies/ebsa
    Authors
    United States Department of Labor. Employee Benefits Security Administration
    License

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

    Area covered
    United States
    Description

    The dataset consists of closed cases that resulted in penalty assessments by EBSA since 2000. This data provides information on EBSA's enforcement programs to enforce ERISA's Form 5500 Annual Return/Report filing requirement focusing on deficient filers, late filers and non-filers.

    Dataset tables listing: EBSA Data Dictionary, EBSA Metadata and EBSA OCATS.




  8. U.S. employer costs for employee benefits 2024, by union status

    • statista.com
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    Statista, U.S. employer costs for employee benefits 2024, by union status [Dataset]. https://www.statista.com/statistics/1376138/employee-benefits-union-status/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    United States
    Description

    As of December 2024, it was calculated that among all goods-producing, and service-providing private industry workers, employers spent more on average on benefits for those that are in a union. Employers spent an average of 23.39 U.S. dollars per hour worked on union workers compared to 12.34 dollars on nonunion workers.

  9. Access to employer benefits among full-time employees and gig workers in...

    • statista.com
    Updated Apr 15, 2018
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    Statista (2018). Access to employer benefits among full-time employees and gig workers in U.S. 2018 [Dataset]. https://www.statista.com/statistics/917731/gig-economy-access-employer-based-benefits-full-time-employees-gig-workers-us/
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    Dataset updated
    Apr 15, 2018
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 5, 2017 - Feb 18, 2017
    Area covered
    United States
    Description

    This statistic illustrates the access to employer-based benefits among full-time employees and gig economy workers in the United States in 2018. During the survey, ** percent of gig economy workers reported having access to employer-based medical insurance, compared to ** percent of full-time employees.

  10. U

    United States Private Employee: LIB: Establishments: 1-99 Workers

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Private Employee: LIB: Establishments: 1-99 Workers [Dataset]. https://www.ceicdata.com/en/united-states/employee-benefits-survey-private-industry/private-employee-lib-establishments-199-workers
    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
    Mar 1, 2006 - Mar 1, 2017
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Private Employee: LIB: Establishments: 1-99 Workers data was reported at 39.000 % in 2017. This stayed constant from the previous number of 39.000 % for 2016. United States Private Employee: LIB: Establishments: 1-99 Workers data is updated yearly, averaging 39.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 43.000 % in 1999 and a record low of 33.000 % in 2003. United States Private Employee: LIB: Establishments: 1-99 Workers 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.

  11. Employees who considered switching jobs for better health benefits in the...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Employees who considered switching jobs for better health benefits in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/1361968/employees-who-contemplated-job-change-for-better-benefits-by-generation-in-the-us/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2021
    Area covered
    United States
    Description

    According to a survey conducted in the U.S. in 2021, ** percent of Gen Z employees reported they have considered switching employers due to health or other benefits in the past year, compared to *** percent of baby boomers. This statistic represents the share of employees who considered switching employers due to health or other benefits in the past year in 2021, by generation.

  12. Data from: Current Population Survey, May 1988: Survey of Employee Benefits

    • archive.ciser.cornell.edu
    • icpsr.umich.edu
    Updated Jan 2, 2020
    + more versions
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    Bureau of Labor Statistics (2020). Current Population Survey, May 1988: Survey of Employee Benefits [Dataset]. http://doi.org/10.6077/j5/8etspl
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    Dataset updated
    Jan 2, 2020
    Dataset authored and provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Variables measured
    Individual
    Description

    This dataset includes information on labor force activity for the week prior to the survey. Comprehensive data are provided on the employment status, occupation, and industry of persons 14 years old and over. Also included are personal characteristics such as age, sex, race, marital status, veteran status, household relationship, educational background, and Spanish origin. The supplement includes data on pension and retirement plan coverage through employer- or union-sponsored retirement plans, as well as individual retirement plans (IRAs) and Keoghs. Questions were asked of all persons employed for pay in four rotation groups common to the March 1988 Current Population Survey (CPS). Income and work experience data from the March income supplement are also included for individuals in these four rotation groups. In addition, the May supplement file was matched to the June CPS file to pick up that month's earnings data, and it was matched to the March income supplement to pick up detailed income information. The May supplement can be viewed as having three distinct parts: CPS labor force data, employee benefits supplement data, and March income data. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR09316.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

  13. Employer Cost for Employee Compensation

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Employer Cost for Employee Compensation [Dataset]. https://catalog.data.gov/dataset/employer-cost-for-employee-compensation-e7a39
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Employer Costs for Employee Compensation (ECEC) is a measure of the cost of labor. The compensation series includes wages and salaries plus employer costs for individual employee benefits. Employee benefit costs are calculated as cents-per-hour-worked for individual benefits ranging from employer payments for Social Security to paid time off for holidays. The survey covers all occupations in the civilian economy, which includes the total private economy (excluding farms and households), and the public sector (excluding the Federal government). Statistics are published for the private and public sectors separately, and the data are combined in a measure for the civilian economy. For information and data, visit: https://www.bls.gov/ncs/ect/

  14. National Compensation Survey - Benefits (Beginning with 2010 data)

    • db.nomics.world
    Updated Sep 26, 2025
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    DBnomics (2025). National Compensation Survey - Benefits (Beginning with 2010 data) [Dataset]. https://db.nomics.world/BLS/nb
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    Dataset updated
    Sep 26, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    DBnomics
    Description

    The National Compensation Survey (NCS) is an annual survey of the incidence and provisions of selected benefits provided by employers. The survey collects data from a sample of approximately 18,000 private sector and State and local government establishments. The data are presented as a percentage of employees with access to employee benefit programs and for some benefits, percentage of employees who participate in them.

  15. i

    Grant Giving Statistics for Council On Employee Benefits

    • instrumentl.com
    Updated Aug 16, 2021
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    (2021). Grant Giving Statistics for Council On Employee Benefits [Dataset]. https://www.instrumentl.com/990-report/council-on-employee-benefits
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    Dataset updated
    Aug 16, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Council On Employee Benefits

  16. C

    Item 17 a1 - Appendix 1 - Employee Benefits

    • find.data.gov.scot
    • dtechtive.com
    pdf
    Updated Jun 19, 2019
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    Care Inspectorate (2019). Item 17 a1 - Appendix 1 - Employee Benefits [Dataset]. https://find.data.gov.scot/datasets/2131
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    pdf(0.016 MB)Available download formats
    Dataset updated
    Jun 19, 2019
    Dataset provided by
    Care Inspectorate
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Scotland
    Description

    There is no description available for this dataset.

  17. i

    Grant Giving Statistics for National Board Of Ymca Employee Benefit Trust

    • instrumentl.com
    Updated Oct 17, 2021
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    (2021). Grant Giving Statistics for National Board Of Ymca Employee Benefit Trust [Dataset]. https://www.instrumentl.com/990-report/national-board-of-ymca-employee-benefit-trust
    Explore at:
    Dataset updated
    Oct 17, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of National Board Of Ymca Employee Benefit Trust

  18. i

    Grant Giving Statistics for Ads Alliance Data Systems Inc Employee Benefits...

    • instrumentl.com
    Updated Jul 6, 2021
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    (2021). Grant Giving Statistics for Ads Alliance Data Systems Inc Employee Benefits Trust [Dataset]. https://www.instrumentl.com/990-report/ads-alliance-data-systems-inc-employee
    Explore at:
    Dataset updated
    Jul 6, 2021
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Ads Alliance Data Systems Inc Employee Benefits Trust

  19. Census and Statistics Department

    • data.wu.ac.at
    xls, xml
    Updated Apr 12, 2018
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    Census and Statistics Department (2018). Census and Statistics Department [Dataset]. https://data.wu.ac.at/schema/data_gov_hk_en_/NzBhMDYzZmQtY2VjZC00YzBhLWE2Y2QtNTI1MTBlNjk1ODU4
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    xls, xmlAvailable download formats
    Dataset updated
    Apr 12, 2018
    Dataset provided by
    Census And Statistics Departmenthttps://www.censtatd.gov.hk/
    Description

    Salaries and Employee Benefits Statistics - Managerial and Professional Employees (Excluding Top Management)

  20. HS013 - Employee benefits-in-kind (Euro) by Type of Benefit, Location and...

    • data.wu.ac.at
    json-stat, px
    Updated Mar 5, 2018
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    Central Statistics Office (2018). HS013 - Employee benefits-in-kind (Euro) by Type of Benefit, Location and Year [Dataset]. https://data.wu.ac.at/schema/data_gov_ie/ZWI5YTUxNjItNDlmZC00Yzc4LTg1ZjctOTdjOTYxMjAwOTZk
    Explore at:
    px, json-statAvailable download formats
    Dataset updated
    Mar 5, 2018
    Dataset provided by
    Central Statistics Office Irelandhttps://www.cso.ie/en/
    License

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

    Description

    Employee benefits-in-kind (Euro) by Type of Benefit, Location and Year

    View data using web pages

    Download .px file (Software required)

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Bureau of Labor Statistics (2022). Employee Benefits Survey [Dataset]. https://catalog.data.gov/dataset/employee-benefits-survey-d4c47
Organization logo

Employee Benefits Survey

Explore at:
Dataset updated
May 16, 2022
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Description

National Compensation Survey - Benefits produces comprehensive data on the incidence (the percentage of workers with access to and participation in employer provided benefit plans) and provisions of selected employee benefit plans. The Employee Benefits Survey (EBS) is an annual survey of the incidence and provisions of selected benefits provided by employers. The data are presented as a percentage of employees who participate in a certain benefit, or as an average benefit provision (for example, the average number of paid holidays provided to employees per year). The survey covers paid leave benefits such as holidays and vacations, and person, funeral, jury duty, military, parental, and sick leave; sickness and accident, long-term disability, and life insurance; medical, dental, and vision care plans; defined benefit pension and defined contribution plans; flexible benefits plans; reimbursement accounts; and unpaid parental leave. Also, data are tabulated on the incidence of several other benefits, such as severance pay, child-care assistance, wellness programs, and employee assistance programs. For more information and data visit: https://www.bls.gov/ebs/

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