100+ datasets found
  1. Employee Benefits Survey

    • datasets.ai
    • gimi9.com
    • +2more
    21
    Updated Sep 8, 2024
    + more versions
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    U.S. Department of Labor Bureau of Labor Statistics (2024). Employee Benefits Survey [Dataset]. https://datasets.ai/datasets/employee-benefits-survey-d4c47
    Explore at:
    21Available download formats
    Dataset updated
    Sep 8, 2024
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Department of Labor Bureau of Labor Statistics
    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 Jul 8, 2025
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    Statista (2025). 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/
    Explore at:
    Dataset updated
    Jul 8, 2025
    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. Top employee benefits in IT job listings in Poland 2023-2024

    • statista.com
    Updated May 23, 2025
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    Statista (2025). Top employee benefits in IT job listings in Poland 2023-2024 [Dataset]. https://www.statista.com/statistics/1610174/poland-top-benefits-in-it-job-offers/
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    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    In Poland, about ** percent of IT job postings in 2024 listed private health care as an employee benefit, followed by a sports card at about ** percent.

  5. d

    Employer Cost for Employee Compensation

    • datadiscoverystudio.org
    • datasets.ai
    • +3more
    Updated Feb 14, 2014
    + more versions
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    (2014). Employer Cost for Employee Compensation [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/123e63af435d49918d4d7dbeb1d2518d/html
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    Dataset updated
    Feb 14, 2014
    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.

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

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). 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
    Jun 24, 2025
    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.

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

    • data.gov.hk
    Updated Mar 10, 2023
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    data.gov.hk (2023). Salaries and Employee Benefits Statistics - Managerial and Professional Employees (Excluding Top Management) [Report] | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-censtatd-tablechart-b1050010
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    Dataset updated
    Mar 10, 2023
    Dataset provided by
    data.gov.hk
    Description

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

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

    • db.nomics.world
    Updated Apr 12, 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
    Apr 12, 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.

  9. U

    United States Private Employee: LDI: Full-Time Workers

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States Private Employee: LDI: Full-Time Workers [Dataset]. https://www.ceicdata.com/en/united-states/employee-benefits-survey-private-industry
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    Dataset updated
    Mar 29, 2018
    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

    Private Employee: LDI: Full-Time Workers data was reported at 42.000 % in 2018. This records a decrease from the previous number of 43.000 % for 2017. Private Employee: LDI: Full-Time Workers data is updated yearly, averaging 39.500 % from Mar 1999 (Median) to 2018, with 18 observations. The data reached an all-time high of 43.000 % in 2017 and a record low of 31.000 % in 2000. Private Employee: LDI: 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 United States – Table US.G077: Employee Benefits Survey: Private Industry.

  10. i

    Grant Giving Statistics for United Public Service Employee Benefit Plan

    • instrumentl.com
    Updated Mar 8, 2022
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    (2022). Grant Giving Statistics for United Public Service Employee Benefit Plan [Dataset]. https://www.instrumentl.com/990-report/united-public-employee-benefits-plan
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    Dataset updated
    Mar 8, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of United Public Service Employee Benefit Plan

  11. i

    Grant Giving Statistics for Employee Benefit Trust For Employees Of Life Inc...

    • instrumentl.com
    Updated Jul 31, 2022
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    (2022). Grant Giving Statistics for Employee Benefit Trust For Employees Of Life Inc [Dataset]. https://www.instrumentl.com/990-report/employee-benefit-trust-for-employees-of-life-inc
    Explore at:
    Dataset updated
    Jul 31, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Employee Benefit Trust For Employees Of Life Inc

  12. Verizon employee benefit obligations 2014-2024

    • statista.com
    Updated Jul 15, 2025
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    Statista (2025). Verizon employee benefit obligations 2014-2024 [Dataset]. https://www.statista.com/statistics/1058714/verizon-employee-benefit-obligations/
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    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Verizon offers a wide range of benefits for its employees such as pensions, postretirement health care, and life insurance benefit plans. The company's benefit obligations nearly 12 billion U.S. dollars in 2024, down from 33.28 billion U.S. dollars in 2014.

  13. Employee perceived benefits of telework in Europe 2020

    • statista.com
    Updated Jul 7, 2023
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    Statista (2023). Employee perceived benefits of telework in Europe 2020 [Dataset]. https://www.statista.com/statistics/1215496/employee-perceived-benefits-remote-working-eu/
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    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2020
    Area covered
    United Kingdom, Germany, Spain, Portugal, France, Italy, Ireland, Denmark, Switzerland, Belgium
    Description

    In 2020, most repsondents state that dressing more casually is an important benefit to working from home in Europe. Other important benefits are the opportunity to personalize the workspace and having more time for hobbies, in part because employees do not need to commute to work everyday.

  14. United States Private Employee: LIB: Part-Time Workers

    • ceicdata.com
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    CEICdata.com, United States Private Employee: LIB: Part-Time Workers [Dataset]. https://www.ceicdata.com/en/united-states/employee-benefits-survey-private-industry/private-employee-lib-parttime-workers
    Explore at:
    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: Part-Time Workers data was reported at 11.000 % in 2017. This records an increase from the previous number of 10.000 % for 2016. United States Private Employee: LIB: Part-Time Workers data is updated yearly, averaging 11.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 15.000 % in 1999 and a record low of 9.000 % in 2004. United States Private Employee: LIB: Part-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.

  15. i

    Grant Giving Statistics for Employee Benefit Trust For Employees Of Mca Inc

    • instrumentl.com
    Updated Aug 6, 2022
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    (2022). Grant Giving Statistics for Employee Benefit Trust For Employees Of Mca Inc [Dataset]. https://www.instrumentl.com/990-report/employee-benefit-trust-for-employees-of-mca-inc
    Explore at:
    Dataset updated
    Aug 6, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Employee Benefit Trust For Employees Of Mca Inc

  16. U

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

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States Private Employee: JDL: Establishments: 1-99 Workers [Dataset]. https://www.ceicdata.com/en/united-states/employee-benefits-survey-private-industry
    Explore at:
    Dataset updated
    Mar 29, 2018
    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

    Private Employee: JDL: Establishments: 1-99 Workers data was reported at 45.000 % in 2017. This stayed constant from the previous number of 45.000 % for 2016. Private Employee: JDL: Establishments: 1-99 Workers data is updated yearly, averaging 57.000 % from Mar 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 60.000 % in 2008 and a record low of 45.000 % in 2017. Private Employee: JDL: 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.

  17. Employee Vested Benefit File

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Mar 8, 2025
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    Social Security Administration (2025). Employee Vested Benefit File [Dataset]. https://catalog.data.gov/dataset/employee-vested-benefit-file
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    Dataset updated
    Mar 8, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    Employer reported file of private pension benefits for employees who retired without withdrawing their benefits.

  18. Employee Benefits Security Administration (EBSA) Enforcement Data

    • datalumos.org
    delimited
    Updated Feb 15, 2017
    + more versions
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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
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Feb 15, 2017
    Dataset provided by
    Employee Benefits Security Administrationhttps://www.dol.gov/agencies/ebsa
    United States Department of Laborhttp://www.dol.gov/
    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.




  19. W

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

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    json-stat, px
    Updated Jun 20, 2019
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    Ireland (2019). HS013 - Employee benefits-in-kind (Euro) by Type of Benefit, Location and Year [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/employee-benefits-in-kind-euro-by-type-of-benefit-location-and-year
    Explore at:
    px, json-statAvailable download formats
    Dataset updated
    Jun 20, 2019
    Dataset provided by
    Ireland
    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)

  20. U

    United States Private Employee: MCB: Union Workers

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States Private Employee: MCB: Union Workers [Dataset]. https://www.ceicdata.com/en/united-states/employee-benefits-survey-private-industry
    Explore at:
    Dataset updated
    Mar 29, 2018
    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

    Private Employee: MCB: Union Workers data was reported at 79.000 % in 2017. This records an increase from the previous number of 78.000 % for 2016. Private Employee: MCB: Union Workers data is updated yearly, averaging 78.000 % from Mar 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 83.000 % in 2005 and a record low of 73.000 % in 1999. Private Employee: MCB: Union 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.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
U.S. Department of Labor Bureau of Labor Statistics (2024). Employee Benefits Survey [Dataset]. https://datasets.ai/datasets/employee-benefits-survey-d4c47
Organization logo

Employee Benefits Survey

Explore at:
21Available download formats
Dataset updated
Sep 8, 2024
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Authors
U.S. Department of Labor Bureau of Labor Statistics
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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