100+ datasets found
  1. Employee Benefits Survey

    • datasets.ai
    • gimi9.com
    • +1more
    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
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    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. m

    Employee Benefit Preferences Statistics and Facts

    • market.biz
    Updated Aug 26, 2025
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    Market.biz (2025). Employee Benefit Preferences Statistics and Facts [Dataset]. https://market.biz/employee-benefit-preferences-statistics/
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    Dataset updated
    Aug 26, 2025
    Dataset provided by
    Market.biz
    License

    https://market.biz/privacy-policyhttps://market.biz/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    ASIA, Australia, South America, Africa, North America, Europe
    Description

    Introduction

    Employee Benefit Preferences Statistics: In the current competitive work environment, knowing employee priorities with respect to employee benefits can help employers engage employees and obtain better attraction/retention with top talent. The 2024 SHRM Employee Benefits Survey shows that a large segment of employees now consider healthcare benefits as “very important†or “extremely important,†at 88%. Healthcare benefits continue to be a “cornerstone†of employee satisfaction.

    Not far behind is flexible work. The same survey indicates that 70% of employees consider flexible work as important to them, which is a reflection of the consequences of the growing need for work-life balance. On the heels of flexible work are family care benefits at 67%, and family care benefits do support traditional caregiving responsibilities.

    Professional career development opportunities are also high at 65%, all of which suggests that employees are looking for engagement in their roles. These finding support the need for employers to offer a richer, more flexible employee benefit offering that aligns with their employee’s priorities.

  3. 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.

  4. 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.

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

    • statista.com
    • thefarmdosupply.com
    • +1more
    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.

  6. m

    Job Benefits Statistics and Facts

    • market.biz
    Updated Aug 7, 2025
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    Market.biz (2025). Job Benefits Statistics and Facts [Dataset]. https://market.biz/job-benefits-statistics/
    Explore at:
    Dataset updated
    Aug 7, 2025
    Dataset provided by
    Market.biz
    License

    https://market.biz/privacy-policyhttps://market.biz/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    ASIA, North America, South America, Africa, Australia, Europe
    Description

    Introduction

    Job Benefits Statistics: Job benefits play a crucial role in employee satisfaction and retention, with statistics highlighting their growing importance in today's workforce. 60% of employees consider benefits and perks to be a significant factor when deciding whether to accept a job offer. Health insurance remains the top benefit, with 92% of employees reporting it as essential.

    Additionally, retirement plans, paid time off, and flexible working hours have seen a steady rise in importance, with 45% of workers seeking jobs that offer more flexibility. Companies offering robust job benefits have a competitive edge in attracting top talent and fostering long-term employee loyalty. As the job market continues to evolve, these statistics reflect the shifting priorities of today's workforce.

  7. Employer Cost for Employee Compensation

    • catalog.data.gov
    • datasets.ai
    • +2more
    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/

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

    • statista.com
    Updated Jun 5, 2025
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    Statista (2025). 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 updated
    Jun 5, 2025
    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. 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.

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

    • data.gov.hk
    Updated Jan 4, 2024
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    data.gov.hk (2024). 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
    Jan 4, 2024
    Dataset provided by
    data.gov.hk
    Description

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

  11. 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
    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: 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.

  12. 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
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    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

  13. 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
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    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.




  14. 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)

  15. E

    Remote Work Statistics – By Region, Industry, Benefits, Demographics,...

    • enterpriseappstoday.com
    Updated Apr 10, 2023
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    EnterpriseAppsToday (2023). Remote Work Statistics – By Region, Industry, Benefits, Demographics, Working Location and Influential Factors [Dataset]. https://www.enterpriseappstoday.com/stats/remote-work-statistics.html
    Explore at:
    Dataset updated
    Apr 10, 2023
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Remote Work Statistics: The future is here we say, as technology made sure to let employees spread around the globe to work remotely. Just before the pandemic people commuting to offices daily shifted to completely mobile work opportunities. Market reports of distance work state that the future of remote work will be adopted by many companies soon as employees focus on such job opportunities only. These Remote Work Statistics are written from various aspects that need to be taken into consideration while setting policies for mobile work. Editor’s Choice Mobile workers with communicative employers are 5X more productive and 3X less feel burned out. 25% of remote employees are planning to change their locations for a better lifestyle. Around 55% of Americans believe their work can be performed remotely in their industry. Remote work statistics say that, in May 2021, remote work job postings on LinkedIn increased by 350%. Remote work Statistics state that in the year 2022, the remote workplace market was valued at $20.1 billion, and it is projected to reach 58.5 billion by the year 2027 at a CAGR of 23.8%. 59% of distance employees said, their office is functional in 2 to 5 various times zones. For every mobile work employee companies save around $22K every month, on the other hand, employees save on average $4000 every year due to a reduction in commute. In the upcoming years, employers are planning to spend more on remote work tools as well as virtual manager training. 16% of people say that they are worried about their company not allowing mobile work once the pandemic ends. On average, women are more like to work remotely than men as stated by Remote Work Statistics.

  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. Employment Cost Index

    • catalog.data.gov
    Updated May 16, 2022
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    Bureau of Labor Statistics (2022). Employment Cost Index [Dataset]. https://catalog.data.gov/dataset/employment-cost-index-24b79
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Employment Cost Index (ECI) component of the National Compensation Survey (NCS) that measures changes in labor costs. The ECI is a quarterly measure of the change in the cost of labor, free from the influence of employment shifts among occupations and industries. The compensation series includes changes in wages and salaries plus employer costs for employee benefits. The wage and salary series and benefit series provide the change for the two components of compensation. Employee benefit costs are calculated as cost-per-hour-worked for 21 benefits, ranging from employer payments for Social Security to paid time off for holidays. For information and data please visit: https://www.bls.gov/ncs/

  18. Employee Vested Benefit File

    • catalog.data.gov
    • data.wu.ac.at
    Updated Mar 8, 2025
    + more versions
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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.

  19. i

    Grant Giving Statistics for Employee Benefit Research Institute

    • instrumentl.com
    Updated Mar 6, 2022
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    (2022). Grant Giving Statistics for Employee Benefit Research Institute [Dataset]. https://www.instrumentl.com/990-report/employee-benefit-research-institute
    Explore at:
    Dataset updated
    Mar 6, 2022
    Variables measured
    Total Assets, Total Giving
    Description

    Financial overview and grant giving statistics of Employee Benefit Research Institute

  20. Share of employees who would quit their job over benefits U.S. 2023, by...

    • statista.com
    • tokrwards.com
    Updated Jun 23, 2025
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    Statista (2025). Share of employees who would quit their job over benefits U.S. 2023, by benefit type [Dataset]. https://www.statista.com/statistics/1403577/job-benefits-employees-would-quit-over-us/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the largest share of employees in the United States would quit their current job because of *************************** The least important issue for the workforce from this survey was flexible work-from-home options with ** percent of respondents who stated this was a significant issue for them.

Share
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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
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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