18 datasets found
  1. U.S. median years of tenure with current employer 2024, by industry

    • statista.com
    Updated Dec 4, 2024
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    U.S. median years of tenure with current employer 2024, by industry [Dataset]. https://www.statista.com/statistics/1211900/us-employed-workers-median-years-tenure-industry/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024
    Area covered
    United States
    Description

    As of January 2024, the median number of years (tenure) that wage and salary workers in the manufacturing industry had been with their current employer was 4.9 years in the United States. Workers in the education and health services industry had a median of 3.6 years with their current employer. Employee tenure is a measure of how long wage and salary workers have been with their current employer. Data on employee tenure can be used as a gauge of employment security, where an increase in tenure means improving security, and a decrease in tenure shows deteriorating security.

  2. Job tenure by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jan 24, 2025
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    Government of Canada, Statistics Canada (2025). Job tenure by industry, annual [Dataset]. http://doi.org/10.25318/1410005501-eng
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employed persons by job tenure, North American Industry Classification System (NAICS) and gender.

  3. Canada: average job tenure 2022, by industry

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Canada: average job tenure 2022, by industry [Dataset]. https://www.statista.com/statistics/439038/average-job-tenure-in-canada-by-industry/
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Canada
    Description

    This statistic shows the average job tenure of employees in a Canada in 2022, distinguished by major industry. In 2022, the average job tenure for Canadian employees in agriculture stood at 192.3 months.

  4. Average employment tenure of staffing employees in the U.S. 2000-2022

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Average employment tenure of staffing employees in the U.S. 2000-2022 [Dataset]. https://www.statista.com/statistics/220686/us-average-tenure-of-temporary-employees/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the average tenure of contract and temporary employees in the United States was 10 weeks. Tenure is defined as the duration of employment with the staffing firm.

  5. Job tenure by industry, monthly, unadjusted for seasonality

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Mar 7, 2025
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    Government of Canada, Statistics Canada (2025). Job tenure by industry, monthly, unadjusted for seasonality [Dataset]. http://doi.org/10.25318/1410005401-eng
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    Dataset updated
    Mar 7, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employed persons by job tenure, North American Industry Classification System (NAICS) and gender.

  6. Job tenure by occupation, annual, inactive

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Jan 6, 2023
    + more versions
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    Government of Canada, Statistics Canada (2023). Job tenure by occupation, annual, inactive [Dataset]. http://doi.org/10.25318/1410030501-eng
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    Dataset updated
    Jan 6, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employed persons by job tenure, National Occupational Classification (NOC) and sex, last 5 years.

  7. U.S. median years of tenure with current employer for workers 2010-2024

    • statista.com
    Updated Dec 4, 2024
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    U.S. median years of tenure with current employer for workers 2010-2024 [Dataset]. https://www.statista.com/statistics/1174504/us-employed-workers-median-years-tenure/
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    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of January 2024, the median number of years (tenure) that wage and salary workers had been with their current employer was 3.9 years in the United States. This is a decrease from 2022, when the median tenure was also 4.1 years. Employee tenure is a measure of how long wage and salary workers have been with their current employer. Data on employee tenure can be used as a gauge of employment security, where an increase in tenure means improving security, and a decrease in tenure shows deteriorating security.

  8. Average time spent with one employer in European countries 2023

    • statista.com
    Updated Oct 16, 2024
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    Statista (2024). Average time spent with one employer in European countries 2023 [Dataset]. https://www.statista.com/statistics/1209552/average-time-spent-with-one-employer-in-europe/
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    Dataset updated
    Oct 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Europe
    Description

    Employees in Greece spend an average of 13 years with their employers as of 2023, the longest average job tenure among European countries. Among the provided countries, Denmark had the shortest average job tenure, at 7.5 years. In most European countries, men spend more time with a single employer on average than women. Notable exceptions to this trend come from a number of post-communist countries in central and eastern Europe - Romania, Bulgaria, Lithuania, Latvia, and Estonia-.

  9. Job tenure by type of work (full- and part-time), annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Jan 27, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Job tenure by type of work (full- and part-time), annual [Dataset]. http://doi.org/10.25318/1410005101-eng
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    Dataset updated
    Jan 27, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employed persons by job tenure, type of work (full- and part-time employment), gender, and age group, annual.

  10. Facility management average tenure of cleaning/maintenance staff U.S....

    • statista.com
    Updated Jun 7, 2024
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    Statista (2024). Facility management average tenure of cleaning/maintenance staff U.S. 2021-2024 [Dataset]. https://www.statista.com/statistics/1011856/average-tenure-employees-working-cleaning-maintenance-department/
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    Dataset updated
    Jun 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, approximately 28 percent of respondents stated that they have been working in the cleaning/maintenance department within facility management in the United States for four to seven years. This is roughly the same when compared to 2023.

  11. Canada: average job tenure 2022, by occupation

    • statista.com
    Updated Jan 23, 2025
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    Statista (2025). Canada: average job tenure 2022, by occupation [Dataset]. https://www.statista.com/statistics/439028/multiple-jobholders-canada/
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    Dataset updated
    Jan 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Canada
    Description

    This statistic shows the average job tenure of employees in a Canada in 2022, distinguished by major occupations. In 2022, the average job tenure for Canadian employees in management occupations stood at 144.2 months.

  12. Samsung Electronics average employed years South Korea 2023, by sector and...

    • statista.com
    Updated Mar 28, 2024
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    Statista (2024). Samsung Electronics average employed years South Korea 2023, by sector and gender [Dataset]. https://www.statista.com/statistics/702455/samsung-electronics-average-period-employed-by-sector-and-gender/
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    Dataset updated
    Mar 28, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 31, 2023
    Area covered
    South Korea
    Description

    As of December 2023, male employees in the Device eXperience (DX) sector at the Samsung Electronics headquarters in South Korea worked 16 years on average for the company. The South Korean tech giant restructured its main business into two divisions, with the DX sector focusing on consumer electronics, while the Device Solutions (DS) sector produced various semiconductors.

  13. B

    2016 Census of Canada - Commuting characteristics of full-time workers in...

    • borealisdata.ca
    • open.library.ubc.ca
    Updated Apr 9, 2021
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    Statistics Canada (2021). 2016 Census of Canada - Commuting characteristics of full-time workers in rental housing by visible minority status, NAICS, income group and place of work - CMA Vancouver at the Census Tract (CT) Level [custom tabulation] [Dataset]. http://doi.org/10.5683/SP2/QZABKZ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 9, 2021
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.4/customlicense?persistentId=doi:10.5683/SP2/QZABKZhttps://borealisdata.ca/api/datasets/:persistentId/versions/1.4/customlicense?persistentId=doi:10.5683/SP2/QZABKZ

    Area covered
    Vancouver, Canada
    Dataset funded by
    Real Estate Foundation of British Columbia
    Description

    This dataset includes six tables which were custom ordered from Statistics Canada. All tables include commuting characteristics (mode of commuting, duration/distance), labour characteristics (employment income groups in 2015, Industry by the North American Industry Classification System 2012), and visible minority groups. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and variables: Geography: Place of Work (POW), Census Tract (CT) within CMA Vancouver. The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. However, it will be provided upon request. GNR values for POR and POW are different for each geography. Universe: The Employed Labour Force having a usual place of work for the population aged 15 years and over in private households that are rented (Tenure rented), full year-full time workers (40-52weeks) Variables: Visible minority (15) 1. Total - Visible minority 2. Total visible minority population 3. South Asian 4. Chinese 5. Black 6. Filipino 7. Latin American 8. Arab 9. Southeast Asian 10. West Asian 11. Korean 12. Japanese 13. Visible minority, n.i.e. 14. Multiple visible minorities 15. Not a visible minority Commuting duration and distance (18) 1. Total - Commuting duration 2. Less than 15 minutes 3. 15 to 29 minutes 4. 30 to 44 minutes 5. 45 to 59 minutes 6. 60 minutes and over 7. Total - Commuting distance 8. Less than 1 km 9. 1 to 2.9 km 10. 3 to 4.9 km 11. 5 to 6.9 km 12. 7 to 9.9 km 13. 10 to 14.9 km 14. 15 to 19.9 km 15. 20 to 24.9 Km 16. 25 to 29.9 km 17. 30 to 34.9 km 18. 35 km or more Main mode of commuting (7) 1. Total - Main mode of commuting 2. Driver, alone 3. 2 or more persons shared the ride to work 4. Public transit 5. Walked 6. Bicycle 7. Other method Employment income groups in 2015 (39) 1. Total – Total Employment income groups in 2015 2. Without employment income 3. With employment income 4. Less than $30,000 (including loss) 5. $30,000 to $79,999 6. $30,000 to $39,999 7. $40,000 to $49,999 8. $50,000 to $59,999 9. $60,000 to $69,999 10. $70,000 to $79,999 11. $80,000 and above 12. Median employment income ($) 13. Average employment income ($) 14. Total – Male Employment income groups in 2015 15. Without employment income 16. With employment income 17. Less than $30,000 (including loss) 18. $30,000 to $79,999 19. $30,000 to $39,999 20. $40,000 to $49,999 21. $50,000 to $59,999 22. $60,000 to $69,999 23. $70,000 to $79,999 24. $80,000 and above 25. Median employment income ($) 26. Average employment income ($) 27. Total – Female Employment income groups in 2015 28. Without employment income 29. With employment income 30. Less than $30,000 (including loss) 31. $30,000 to $79,999 32. $30,000 to $39,999 33. $40,000 to $49,999 34. $50,000 to $59,999 35. $60,000 to $69,999 36. $70,000 to $79,999 37. $80,000 and above 38. Median employment income ($) 39. Average employment income ($) Industry - North American Industry Classification System (NAICS) 2012 (54) 1. Total - Industry - North American Industry Classification System (NAICS) 2012 2. 11 Agriculture, forestry, fishing and hunting 3. 21 Mining, quarrying, and oil and gas extraction 4. 22 Utilities 5. 23 Construction 6. 236 Construction of buildings 7. 237 Heavy and civil engineering construction 8. 238 Specialty trade contractors 9. 31-33 Manufacturing 10. 311 Food manufacturing 11. 41 Wholesale trade 12. 44-45 Retail trade 13. 441 Motor vehicle and parts dealers 14. 442 Furniture and home furnishings stores 15. 443 Electronics and appliance stores 16. 444 Building material and garden equipment and supplies dealers 17. 445 Food and beverage stores 18. 446 Health and personal care stores 19. 447 Gasoline stations 20. 448 Clothing and clothing accessories stores 21. 451 Sporting goods, hobby, book and music stores 22. 452 General merchandise stores 23. 453 Miscellaneous store retailers 24. 454 Non-store retailers 25. 48-49 Transportation and warehousing 26. 481 Air transportation 27. 482 Rail transportation 28. 483 Water...

  14. Employee turnover in business service centers in Poland 2022-2023, by center...

    • statista.com
    Updated Nov 9, 2024
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    Employee turnover in business service centers in Poland 2022-2023, by center type [Dataset]. https://www.statista.com/statistics/1138988/poland-employee-turnover-and-salary-increases-in-business-service-centers/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Poland
    Description

    Voluntary employee turnover in business service centers in Poland in 2023 was nearly 14 percent, with the highest turnover in the BPO sector.

  15. Hospital staff turnover rate in the U.S. 2016-2023

    • statista.com
    Updated Jul 17, 2024
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    Hospital staff turnover rate in the U.S. 2016-2023 [Dataset]. https://www.statista.com/statistics/1251378/staff-turnover-rate-of-hospitals-in-the-united-states/
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    Dataset updated
    Jul 17, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the average staff turnover rate of hospitals in the U.S. stood at 20.7 percent. The percentage of employees leaving hospitals has decreased since 2021, yet it is still 2.9 percent higher than 2019. A closer look at turnover reveals that most was among less tenured staff, with the highest rates among certified nursing assistants.

  16. Main challenges for staffing agencies worldwide 2025

    • statista.com
    Updated Mar 12, 2025
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    Statista (2025). Main challenges for staffing agencies worldwide 2025 [Dataset]. https://www.statista.com/statistics/1210957/global-staffing-firms-top-hiring-challenges/
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    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Reductions in job requisitions from clients emerged as the primary challenge for global staffing firms in 2025, with 23 percent of surveyed professionals citing it as their main concern. This underscores the increasingly competitive landscape for skilled workers, even as economic uncertainty looms large. The persistent struggle to find qualified candidates highlights a growing mismatch between available talent and industry demands. Economic uncertainty and industry growth While talent scarcity tops the list of challenges, 33 percent of respondents pointed to economic uncertainty as a significant hurdle. This concern comes despite the U.S. staffing and recruiting industry's robust growth, with sales reaching approximately 186 billion U.S. dollars in 2022, an increase of 18 billion from the previous year. The industry's resilience is further evidenced by the success of global leaders like Randstad. The revenue of Randstad was 27.8 billion U.S. dollars in 2023.
    Evolving workforce dynamics The staffing industry is adapting to shifting workforce trends, with 16 percent of professionals noting the transition to non-traditional work arrangements as a challenge. This shift is reflected in the average tenure of contract and temporary employees in the United States, which stood at 10 weeks in 2022. Additionally, 17 percent of respondents highlighted the need for reskilling workers, indicating a growing emphasis on workforce development to meet changing market demands. The staffing industry revenue worldwide may be a reflection of this, as its turnover decreased between 2022 and 2023. As the industry navigates these challenges, it continues to play a crucial role in bridging the gap between employers and job seekers in an increasingly dynamic labor market.

  17. Main challenges for staffing agencies worldwide 2023

    • statista.com
    Updated Jul 4, 2019
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    Raphael Bohne (2019). Main challenges for staffing agencies worldwide 2023 [Dataset]. https://www.statista.com/study/64723/adecco-group/
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    Dataset updated
    Jul 4, 2019
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Raphael Bohne
    Description

    Talent shortage emerges as the primary challenge for global staffing firms in 2023, with 56 percent of surveyed professionals citing it as their main concern. This underscores the increasingly competitive landscape for skilled workers, even as economic uncertainty looms large. The persistent struggle to find qualified candidates highlights a growing mismatch between available talent and industry demands. Economic uncertainty and industry growth While talent scarcity tops the list of challenges, 33 percent of respondents pointed to economic uncertainty as a significant hurdle. This concern comes despite the U.S. staffing and recruiting industry's robust growth, with sales reaching approximately 186 billion U.S. dollars in 2022, an increase of 18 billion from the previous year. The industry's resilience is further evidenced by the success of global leaders like Randstad. The revenue of Randstad was 27.8 billion U.S. dollars in 2023.
    Evolving workforce dynamics The staffing industry is adapting to shifting workforce trends, with 16 percent of professionals noting the transition to non-traditional work arrangements as a challenge. This shift is reflected in the average tenure of contract and temporary employees in the United States, which stood at 10 weeks in 2022. Additionally, 17 percent of respondents highlighted the need for reskilling workers, indicating a growing emphasis on workforce development to meet changing market demands. The staffing industry revenue worldwide may be a reflection of this, as its turnover decreased between 2022 and 2023. As the industry navigates these challenges, it continues to play a crucial role in bridging the gap between employers and job seekers in an increasingly dynamic labor market.

  18. Job creation by U.S. president from Eisenhower to Obama

    • statista.com
    Updated Jul 9, 2012
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    Statista (2012). Job creation by U.S. president from Eisenhower to Obama [Dataset]. https://www.statista.com/statistics/238591/job-creation-by-us-president-from-eisenhower-to-obama/
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    Dataset updated
    Jul 9, 2012
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the monthly average change in private sector jobs by presidential tenure, from the month preceding their first full month in office to last month in office in the United States in the post-war era. The monthly average change in jobs was highest when Bill Clinton was U.S. president. An average of 214,000 jobs were created each month of his presidency.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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U.S. median years of tenure with current employer 2024, by industry [Dataset]. https://www.statista.com/statistics/1211900/us-employed-workers-median-years-tenure-industry/
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U.S. median years of tenure with current employer 2024, by industry

Explore at:
Dataset updated
Dec 4, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2024
Area covered
United States
Description

As of January 2024, the median number of years (tenure) that wage and salary workers in the manufacturing industry had been with their current employer was 4.9 years in the United States. Workers in the education and health services industry had a median of 3.6 years with their current employer. Employee tenure is a measure of how long wage and salary workers have been with their current employer. Data on employee tenure can be used as a gauge of employment security, where an increase in tenure means improving security, and a decrease in tenure shows deteriorating security.

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