100+ datasets found
  1. Employee attrition of professional services organizations worldwide...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Employee attrition of professional services organizations worldwide 2013-2023 [Dataset]. https://www.statista.com/statistics/933710/professional-services-worldwide-employee-attrition/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The employee attrition rate of professional services organizations worldwide ********* overall between 2013 and 2023, despite some fluctuations. During the 2023 survey, respondents reported an average employee attrition rate of **** percent.

  2. Job Openings and Labor Turnover Survey (JOLTS)

    • db.nomics.world
    Updated Jun 4, 2025
    + more versions
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    DBnomics (2025). Job Openings and Labor Turnover Survey (JOLTS) [Dataset]. https://db.nomics.world/BLS/jt
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    Dataset updated
    Jun 4, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    DBnomics
    Description

    The Job Openings and Labor Turnover Survey program provides national estimates of rates and levels for job openings, hires, and total separations. Total separations are further broken out into quits, layoffs and discharges, and other separations.

  3. a

    US Labor Turnover (Quits) as of September 2021

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Nov 3, 2021
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    ArcGIS Living Atlas Team (2021). US Labor Turnover (Quits) as of September 2021 [Dataset]. https://hub.arcgis.com/maps/7d0326b32c4d48a9a6fe21d8b9dfa604
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    Dataset updated
    Nov 3, 2021
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This layer shows figures of quit rates and quit levels by the US, BLS regions, and states. Data is from the Bureau of Labor Statistics (BLS) and was released October and November of 2021. The layer default symbology highlights to September 2021 quit rate in comparison to the national figure of 3.0%.According to the October 2021 News Release by BLS:"The number of quits increased in August to 4.3 million (+242,000). The quits rate increased to a series high of 2.9 percent. Quits increased in accommodation and food services (+157,000); wholesale trade (+26,000); and state and local government education (+25,000). Quits decreased in real estate and rental and leasing (-23,000). The number of quits increased in the South and Midwest regions."In the following November News Release:"In September, quits rates increased in 15 states and decreased in 10 states. The largest increases in quits rates occurred in Hawaii (+3.8 percentage points), Montana (+1.5 points), as well as Nevada and New Hampshire (+1.1 points each). The largest decreases in quits rates occurred in Kentucky (-1.1 percentage points), Iowa (-1.0 point), and South Dakota (-0.7 point). Over the month, the national quits rate increased (+0.1 percentage point)."Quit rates: The quits rate is the number of quits during the entire month as a percent of total employment.Quit levels: Quits are the number of quits during the entire month.State and US figures: Table 4. Quits levels and rates by industry and region, seasonally adjustedRegion figures: Table 4. Quits levels and rates by industry and region, seasonally adjustedThis data was obtained in October and November 2021, and the months of data from BLS are as follows:August 2020September 2020April 2021 (only offered for Regions)May 2021June 2021July 2021August 2021September 2021 (preliminary values)For the full data release, click here.The states (including the District of Columbia) that comprise the regions are: Northeast: Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and VermontSouth: Alabama, Arkansas, Delaware, District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West VirginiaMidwest: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and WisconsinWest: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.

  4. Average annual employee turnover rate U.S. 2016-2017

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Average annual employee turnover rate U.S. 2016-2017 [Dataset]. https://www.statista.com/statistics/944139/hr-annual-turnover-rate-united-states/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic depicts the average annual employee turn over rate in the United States in 2016 and 2017, as reported by human resources (HR) professionals. During the 2017 survey, respondents reported an average annual turnover rate of ** percent.

  5. Share of employee turnover of SMIC 2024, by gender

    • statista.com
    Updated Mar 15, 2025
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    Share of employee turnover of SMIC 2024, by gender [Dataset]. https://www.statista.com/statistics/1340787/semiconductor-manufacturing-international-corporation-employee-turnover-by-gender/
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    China
    Description

    In 2024, Semiconductor Manufacturing International Corporation's (SMIC) had an employee turnover of around ** percent. Thereby, male employees accounted for around ** percent of the turnover, whereas female staff accounted for only approximately ** percent of the turnover.

  6. HR U.S. Bureau of Labor Statistics Turnover

    • open.piercecountywa.gov
    • internal.open.piercecountywa.gov
    application/rdfxml +5
    Updated Jul 13, 2025
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    U.S. Bureau of Labor Statistics (2025). HR U.S. Bureau of Labor Statistics Turnover [Dataset]. https://open.piercecountywa.gov/Government/HR-U-S-Bureau-of-Labor-Statistics-Turnover/9h52-qp7q
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    xml, csv, json, tsv, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    U.S. Bureau of Labor Statistics
    Area covered
    United States
    Description

    Job Openings and Labor Turnover Survey data from the U.S. Bureau of Labor Statistics

  7. Attrition rate India 2023, by industry

    • statista.com
    Updated Mar 13, 2024
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    Statista (2024). Attrition rate India 2023, by industry [Dataset]. https://www.statista.com/statistics/1324224/india-attrition-rate-by-industry/
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    Dataset updated
    Mar 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    India
    Description

    In 2023, the attrition rate was the highest among employees working in financial services. It was followed by life sciences and consumer products sectors.

  8. Opinions on increasing personnel fluctuation in Germany 2022, by industry

    • statista.com
    • ai-chatbox.pro
    Updated Jul 9, 2025
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    Statista (2025). Opinions on increasing personnel fluctuation in Germany 2022, by industry [Dataset]. https://www.statista.com/statistics/1342099/increasing-personnel-fluctuation-industry-germany/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2022 - Jun 2022
    Area covered
    Germany
    Description

    In 2022, around ** percent of small and mid-sized companies in the construction industry in Germany stated that they are facing an increasing challenge with employee turnover. ** percent of companies in the production of capital goods also answered that it was an issue, but that it did not have any negative consequences for the company.

  9. F

    Quits: Manufacturing

    • fred.stlouisfed.org
    json
    Updated Jun 3, 2025
    + more versions
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    (2025). Quits: Manufacturing [Dataset]. https://fred.stlouisfed.org/series/JTS3000QUR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 3, 2025
    License

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

    Description

    Graph and download economic data for Quits: Manufacturing (JTS3000QUR) from Dec 2000 to Apr 2025 about quits, manufacturing, and USA.

  10. T

    France - Turnover in services

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 30, 2020
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    TRADING ECONOMICS (2020). France - Turnover in services [Dataset]. https://tradingeconomics.com/france/turnover-in-services-eurostat-data.html
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    France
    Description

    France - Turnover in services was 17.50 % year-on-year in March of 2022, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for France - Turnover in services - last updated from the EUROSTAT on June of 2025. Historically, France - Turnover in services reached a record high of 24.20 % year-on-year in June of 2021 and a record low of -19.10 % year-on-year in June of 2020.

  11. Taiwan Labour Turnover: SP: Industry (ID)

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Taiwan Labour Turnover: SP: Industry (ID) [Dataset]. https://www.ceicdata.com/en/taiwan/labour-turnover-separation-rate/labour-turnover-sp-industry-id
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Taiwan
    Variables measured
    Job Market Indicators
    Description

    Taiwan Labour Turnover: SP: Industry (ID) data was reported at 2.440 % in Sep 2018. This records an increase from the previous number of 2.420 % for Aug 2018. Taiwan Labour Turnover: SP: Industry (ID) data is updated monthly, averaging 2.570 % from Jan 1973 (Median) to Sep 2018, with 549 observations. The data reached an all-time high of 8.370 % in Aug 1983 and a record low of 1.400 % in Dec 2003. Taiwan Labour Turnover: SP: Industry (ID) data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.G053: Labour Turnover: Separation Rate.

  12. U.S. monthly job separations 2025, by industry

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. monthly job separations 2025, by industry [Dataset]. https://www.statista.com/statistics/1035645/monthly-job-separations-united-states-industry/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    United States
    Description

    By the last business day of April 2025, there were about ******* job separations in the trade, transportation, and utilities industry in the United States. Separations include voluntary quits, involuntary layoffs and discharges, as well as other separations such as retirements. Separations are also referred to as turnover.

  13. d

    Number of employees leaving their jobs by industry and occupation

    • data.gov.tw
    xml
    Updated Jun 1, 2025
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    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. (2025). Number of employees leaving their jobs by industry and occupation [Dataset]. https://data.gov.tw/en/datasets/33456
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    xmlAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The number of employees leaving in various industries according to job categories as revealed in the Employee Turnover Survey.

  14. d

    The number of employed workers in the industrial and service sectors leaving...

    • data.gov.tw
    xml
    + more versions
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    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C., The number of employed workers in the industrial and service sectors leaving their jobs - according to employee characteristics and job categories. [Dataset]. https://data.gov.tw/en/datasets/33455
    Explore at:
    xmlAvailable download formats
    Dataset authored and provided by
    Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C.
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The number of employees leaving the industrial and service industries in the Employee Turnover Survey, released by employee characteristics and job categories.

  15. F

    Quits: Accommodation and Food Services

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
    + more versions
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    (2025). Quits: Accommodation and Food Services [Dataset]. https://fred.stlouisfed.org/series/JTS7200QUR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 1, 2025
    License

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

    Description

    Graph and download economic data for Quits: Accommodation and Food Services (JTS7200QUR) from Dec 2000 to May 2025 about quits, accommodation, food, services, and USA.

  16. Hospital staff turnover rate in the U.S. 2016-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 7, 2025
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    Hospital staff turnover rate in the U.S. 2016-2024 [Dataset]. https://www.statista.com/statistics/1251378/staff-turnover-rate-of-hospitals-in-the-united-states/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the average staff turnover rate of hospitals in the U.S. stood at **** percent. The percentage of employees leaving hospitals has decreased since the peak of ** percent in 2021. A closer look at turnover reveals that most was among less tenured staff, with the highest rates among certified nursing assistants.

  17. i

    Labor Turnover Survey 2013 - Philippines

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    Updated Oct 10, 2017
    + more versions
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    Bureau of Labor and Employment Statistics (2017). Labor Turnover Survey 2013 - Philippines [Dataset]. https://catalog.ihsn.org/catalog/7267
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    Dataset updated
    Oct 10, 2017
    Dataset authored and provided by
    Bureau of Labor and Employment Statistics
    Time period covered
    2012 - 2014
    Area covered
    Philippines
    Description

    Abstract

    The Labor Turnover Survey (LTS) aims to generate quarterly data on labor turnover as indicators of labor market activity in large business enterprises. The main topics include total accession due to expansion and replacement, as well as employer-initiated and employee-initiated total separation.

    The information gathered in this survey is intended to generate timely labor market signals as sound basis in planning, policy formulation and decision making in goverment, business and industry.

    Geographic coverage

    National capital region

    Analysis unit

    Enterprise

    Universe

    The top 25,000 corporations in the Philippines as listed by the Securities and Exchange Commission (SEC).

    The universe was limited to the SEC list for two reasons: budget constraints and the decision to come up with manageable sample size that can provide DOLE officials with a quick and timely assessment of the labor market situations on a quarterly basis.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The enterprise is the unit of enumeration in the LTS and it has for its sampling domain 18 major industry groups (1-digit) based on the 2009 PSIC. The coverage of the survey was limited to business enterprises in Metro Manila due to budget constraints and in line with the instruction of DOLE officials to conduct a quick/timely assessment of the labor market activity through a sample survey with manageable sample size. Metro Manila accounts for one-third of the country's gross domestic product and about two-thirds of the total large business enterprises in the Philippines.

    The sampling frame was extracted from the top 25,000 corporations in the Philippines as compiled by the Securities and Exchange Commission (SEC). The frame contains the names of 15,600 enterprises in Metro Manila listed in order of their gross revenue and sales in 2012.

    For LTS 2013, the population size was 15,660. Since the proportion of the initial sample size to the population size is not negligible, a revised estimate of the sample size is obtained to take into account the finite population correction. To ensure the precision of estimates in each domain, the sample size (763) was allocated in each domain using Kish's allocation formula. The sample enterprises in each domain were drawn through simple random sampling.

    Sampling deviation

    A replacement of a sample enterprise was done when the sampled enterprise fell in one of the following situations during the field operation: cannot be located; refuse to answer; temporarily closed; duplicate of another sample enterprise; permanently closed; or on strike.

    Mode of data collection

    Other [oth]

    Cleaning operations

    The data was manually and electronically processed. Upon collection of accomplished questionnaires, enumerators perform field editing before leaving the enterprise to ensure completeness, consistency and reasonableness of entries in accordance with the Field Operations Manual. The forms were again checked for data consistency and completeness by field supervisors. The designated personnel undertook the final review, coding of information on classifications used, data entry and validation and scrutiny of aggregated results for coherence. Questionnaires with incomplete or inconsistent entries were returned to the establishments for verification, personally or through phone interview.

    Sampling error estimates

    Not computed.

    Data appraisal

    The results were validated with the previous year results in particular, the trend and patterns of data distribution across industry.

    Results were also checked in terms of their coherence with the results of the National Acounts, i.e, gross domestic product (GDP). It has been observed that the pattern of movement in the LTS data series closely follow that of GDP. This could be because NCR accounted for a sizeable share of GDP. The "rule of thumb" in LTS validation is that a high GDP is associated with a positive turnover rate and vice versa.

  18. c

    Construction industry; turnover change, company size, 2015=100, 2005-2023

    • cbs.nl
    • data.overheid.nl
    • +1more
    xml
    Updated Aug 15, 2024
    + more versions
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    Centraal Bureau voor de Statistiek (2024). Construction industry; turnover change, company size, 2015=100, 2005-2023 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/83824ENG
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    xmlAvailable download formats
    Dataset updated
    Aug 15, 2024
    Dataset authored and provided by
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table presents information about developments in domestic turnover of the construction industry (SIC 2008 section F). The data can be divided by a number of branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008) and by four size classes. The results are expressed in terms of indices with base year 2015. Changes on the same period in the previous year are also published.

    Data available from 1st quarter 2005 until 4th quater 2023.

    Status of the figures: The figures of 2023 are provisional and the figures from the preceding periods are definite. Seeing as this table will no longer be updated, the figures of 2023 will not be finalised.

    Changes as of August 15, 2024: None, as this table will no longer be updated.

    When will new figures be published? No longer applicable.

    Once definite figures have been published, Statistics Netherlands only adjusts them if significant corrections are necessary.

  19. Services turnover in the UK

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 26, 2024
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    Office for National Statistics (2024). Services turnover in the UK [Dataset]. https://www.ons.gov.uk/businessindustryandtrade/business/businessservices/datasets/servicesturnoverintheuk
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    xlsxAvailable download formats
    Dataset updated
    Feb 26, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Area covered
    United Kingdom
    Description

    Annual statistics on the value of turnover from services provided by the UK service economy.

  20. Workforce Analytics Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Feb 15, 2025
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    Technavio (2025). Workforce Analytics Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, UK), APAC (China, India, Japan, South Korea), South America , and Middle East and Africa [Dataset]. https://www.technavio.com/report/workforce-analytics-market-industry-share-analysis
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Workforce Analytics Market Size 2025-2029

    The workforce analytics market size is forecast to increase by USD 3.27 billion, at a CAGR of 19.1% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing demand for efficient workforce management and recruitment. Companies are recognizing the value of leveraging data-driven insights to optimize their workforce, leading to increased adoption of workforce analytics solutions. Another key trend in the market is the growing use of mobile applications for workforce analytics, enabling real-time access to data and analytics from anywhere. However, the market also faces challenges, including the lack of a skilled workforce capable of effectively implementing and utilizing these advanced analytics tools. As the market continues to evolve, companies seeking to capitalize on opportunities and navigate challenges effectively must prioritize investments in workforce analytics solutions and focus on building a skilled workforce to maximize the value of their data.

    What will be the Size of the Workforce Analytics Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free SampleThe market continues to evolve, driven by the ever-increasing importance of data-driven decision making in various sectors. Cost optimization, data visualization, and data warehousing are integral components of workforce analytics, enabling organizations to gain valuable insights from their workforce data. Process automation and employee development are also key areas of focus, as they help streamline operations and enhance employee skills. Performance management and organizational network analysis provide valuable insights into employee productivity and team dynamics. ETL processes and risk management ensure data accuracy and security, while recruitment optimization and career pathing facilitate effective talent acquisition and retention. Predictive modeling and sentiment analysis aid in anticipating workforce trends and employee sentiment, respectively. Data security and strategic workforce planning are essential for mitigating risks and ensuring long-term success. Machine learning and natural language processing are advanced technologies that are increasingly being adopted for data analysis and processing. Workforce analytics encompasses a range of applications, from compensation analysis and employee satisfaction to diversity and inclusion and leadership development. These areas are interconnected and evolve continuously, with new technologies and trends shaping the market landscape. The ongoing integration of these applications into comprehensive workforce analytics solutions enables organizations to optimize their workforce and gain a competitive edge.

    How is this Workforce Analytics Industry segmented?

    The workforce analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userRetailBFSITelecom and ITHealthcareOthersApplicationLarge enterprisesSmall and medium sized enterpriseDeploymentCloudOn-premiseServiceConsulting ServicesSystem IntegrationManaged ServicesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

    By End-user Insights

    The retail segment is estimated to witness significant growth during the forecast period.In today's dynamic business environment, retail organizations face increasing pressure to optimize their workforce to stay competitive. The retail industry's growth is driven by factors such as changing market economics, rising competition from e-commerce, and evolving customer demands. To meet these challenges, retailers are investing in their workforce, recognizing its crucial role in driving business success. Workforce optimization strategies encompass various approaches, including 360-degree feedback, organizational network analysis, and social network analysis, to enhance employee performance and engagement. Headcount planning, aided by cloud computing, enables retailers to manage their workforce effectively and adapt to seasonal fluctuations. Regression analysis, statistical analysis, and time series analysis help retailers identify trends and make data-driven decisions. Strategic workforce planning, succession planning, and talent acquisition are essential components of a robust workforce strategy. Employee development, cost optimization, data cleaning, and natural language processing are critical for maintaining a skilled and productive workforce. Data mining, ETL processes, data warehousing, and business intelligence provide valuable insights into workforce performance and trends. Retention strategies,

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Statista (2025). Employee attrition of professional services organizations worldwide 2013-2023 [Dataset]. https://www.statista.com/statistics/933710/professional-services-worldwide-employee-attrition/
Organization logo

Employee attrition of professional services organizations worldwide 2013-2023

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

The employee attrition rate of professional services organizations worldwide ********* overall between 2013 and 2023, despite some fluctuations. During the 2023 survey, respondents reported an average employee attrition rate of **** percent.

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