100+ datasets found
  1. Hospital staff turnover rate in the U.S. 2016-2024

    • statista.com
    • ai-chatbox.pro
    Updated May 7, 2025
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    Statista (2025). 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.

  2. Professional services organizations' employee attrition globally by region...

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). Professional services organizations' employee attrition globally by region 2015-2023 [Dataset]. https://www.statista.com/statistics/934377/professional-services-worldwide-employee-attrition-by-region/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2023, employee attrition rates decreased in the Americas and EMEA regions, however increased in the ACAP region. The Americas showed a decrease of 1.2 percent, with the ACAP region demonstrating a 3.3 percent increase. Relatively, however, these percentages were some of the best recorded between 2015 and 2023.

  3. a

    US Labor Turnover (Quits) as of September 2021

    • hub.arcgis.com
    • data-bgky.hub.arcgis.com
    • +1more
    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. Coronavirus Job Retention Scheme statistics: December 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 29, 2021
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    HM Revenue & Customs (2021). Coronavirus Job Retention Scheme statistics: December 2020 [Dataset]. https://www.gov.uk/government/statistics/coronavirus-job-retention-scheme-statistics-december-2020
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    Dataset updated
    Jul 29, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    HM Revenue & Customs
    Description

    This is an Experimental Official Statistics publication produced by HM Revenue and Customs (HMRC) using HMRC’s Coronavirus Job Retention Scheme claims data.

    The figures for the number of employments eligible for the Coronavirus Job Retention Scheme in this release have been revised down slightly for March 2020 to 31 October 2020.

    This reflects a refinement to the methodology for the number of employments eligible for the scheme and results in a small increase in our estimates of employer and employment take-up rates. The overall figures for the number of jobs on furlough are not affected.

    This publication covers all Coronavirus Job Retention Scheme claims submitted by employers from the start of the scheme up to 31 October 2020. It includes statistics on the claims themselves and the jobs supported.

    Data from HMRC’s Real Time Information (RTI) system has been matched with Coronavirus Job Retention Scheme data to produce analysis of claims by:

    • daily number of employments on furlough
    • employer size
    • sector of the economy
    • geography
    • age and gender
    • use of flexible furlough

    For more information on Experimental Statistics and governance of statistics produced by public bodies please see the https://uksa.statisticsauthority.gov.uk/about-the-authority/uk-statistical-system/types-of-official-statistics" class="govuk-link">UK Statistics Authority website.

  5. O

    WFS - Turnover 10 Year Data

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Apr 14, 2025
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    (2025). WFS - Turnover 10 Year Data [Dataset]. https://opendata.ramseycounty.us/d/icny-7ffv
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    application/rssxml, tsv, application/rdfxml, json, csv, xmlAvailable download formats
    Dataset updated
    Apr 14, 2025
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    This dataset outlines the Workforce Statistics turnover rate, 10 year data from 2011-2020.

  6. Turnover rate of full-time employed nurses Japan FY 2020, by hospital size

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Turnover rate of full-time employed nurses Japan FY 2020, by hospital size [Dataset]. https://www.statista.com/statistics/1121125/japan-turnover-rate-full-time-nurses-by-hospital-size/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 1, 2021 - Nov 22, 2021
    Area covered
    Japan
    Description

    According to a survey conducted from October to November in 2021, the turnover rate of nurses employed regularly was highest at hospitals with less than *** beds in the fiscal year 2020. That year, the average turnover rate of full-time working nurses was around **** percent.

  7. c

    Short-Term Employment Surveys, 2020-2024: Secure Access

    • datacatalogue.cessda.eu
    Updated May 8, 2025
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    Office for National Statistics (2025). Short-Term Employment Surveys, 2020-2024: Secure Access [Dataset]. http://doi.org/10.5255/UKDA-SN-8912-12
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    Dataset updated
    May 8, 2025
    Authors
    Office for National Statistics
    Time period covered
    Jun 11, 2020 - Jun 30, 2024
    Area covered
    Great Britain
    Variables measured
    Institutions/organisations, National
    Measurement technique
    Self-administered questionnaire: Web-based (CAWI)
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Short-Term Employment Surveys (STES) are three statutory, quarterly surveys of private sector businesses. The surveys ask businesses for their number of employees (male/female/full-time/part-time) on a specified date (the second or third Friday of March, June, September or December). Online questionnaires are sent to a sample of approximately 37,000 businesses each quarter. The combined surveys cover all sectors of the private sector economy and all industries in England, Scotland and Wales (Great Britain) with the exception of 'agriculture, forestry and fishing' and 'private households'. Northern Ireland businesses are not approached via STES. The STES data feeds into the quarterly UK Workforce Jobs estimates published by the Office for National Statistics.

    Linking to other business studiesThese data contain Inter-Departmental Business Register (IDBR) reference numbers. These are anonymous but unique reference numbers assigned to business organisations. Their inclusion allows researchers to combine different business survey sources together. Researchers may consider applying for other business data to assist their research.

    Latest edition information
    For the twelfth edition (May 2025), new Construction Survey, Monthly Business Survey and Quarterly Business Survey data files have been added for June 2024 and the March 2024 files have also been revised.

    Main Topics:

    The STES data consist of the following three separate surveys which are all available in quarterly data files:
    • Monthly Business Survey (stes_mbs_009)
    • Quarterly Business Survey (stes_qbs_139)
    • Construction Survey (stes_constr_228)


    All three surveys include variables for the number of employees broken down by:

    • Full-time males
    • Full-time females
    • Part-time males
    • Part-time females

    Also included are details about the business such as:
    • Reporting Unit Reference
    • Status of reporting unit
    • IDBR selection classification
    • Sizeband cell
    • Turnover
    • Standard Industrial Classification 2003
    • Standard Industrial Classification 2007
    • NUTS1 region of Reporting Unit

  8. d

    NHS Workforce Statistics - September 2020

    • digital.nhs.uk
    Updated Dec 22, 2020
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    (2020). NHS Workforce Statistics - September 2020 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-workforce-statistics
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    Dataset updated
    Dec 22, 2020
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Sep 30, 2009 - Sep 30, 2020
    Description

    This report shows monthly numbers of NHS Hospital and Community Health Service (HCHS) staff working in NHS Trusts and CCGs in England (excluding primary care staff). Data is available as headcount and full-time equivalents and are available every month for 30 September 2009 onwards. This data is an accurate summary of the validated data extracted from the NHS HR and Payroll system. Additional statistics on staff in NHS Trusts and CCGs and information for NHS Support Organisations and Central Bodies are published each: September (showing June statistics) December (showing September statistics) March (showing December statistics) June (showing March statistics) Quarterly NHS Staff Earnings and monthly NHS Staff Sickness Absence reports and data relating to the General Practice workforce and the Independent Healthcare Provider workforce are also available via the Related Links below. In last month's publication we described some upcoming changes intended to be implemented in data published from January 2021 onwards. Two of these changes are related to improvements in processing and data quality routines that will feed through into the data presented. We also described a change to an additional resource we will be making available ahead of current timescales, featuring data relating to the main headline staff groups and the Nurses staff group. After seeking feedback on these proposals, we can confirm all the above will be implemented in data published on 28 January 2021. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating Monthly HCHS Workforce as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678.

  9. United States JOLTS: Job Openings Rates: sa: NF: Alaska

    • ceicdata.com
    Updated Mar 15, 2009
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    CEICdata.com (2009). United States JOLTS: Job Openings Rates: sa: NF: Alaska [Dataset]. https://www.ceicdata.com/en/united-states/job-openings-and-labor-turnover-survey-job-openings-rate-by-state/jolts-job-openings-rates-sa-nf-alaska
    Explore at:
    Dataset updated
    Mar 15, 2009
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Description

    United States JOLTS: Job Openings Rates: sa: NF: Alaska data was reported at 5.800 % in Feb 2025. This stayed constant from the previous number of 5.800 % for Jan 2025. United States JOLTS: Job Openings Rates: sa: NF: Alaska data is updated monthly, averaging 4.800 % from Dec 2000 (Median) to Feb 2025, with 291 observations. The data reached an all-time high of 11.400 % in Aug 2022 and a record low of 2.100 % in May 2020. United States JOLTS: Job Openings Rates: sa: NF: Alaska data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G133: Job Openings and Labor Turnover Survey: Job Openings Rate: by State.

  10. United States JOLTS: Hires Rates: NF: Maine

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States JOLTS: Hires Rates: NF: Maine [Dataset]. https://www.ceicdata.com/en/united-states/job-openings-and-labor-turnover-survey-hires-rate-by-state/jolts-hires-rates-nf-maine
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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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    United States
    Description

    United States JOLTS: Hires Rates: NF: Maine data was reported at 2.700 % in Feb 2025. This records a decrease from the previous number of 3.600 % for Jan 2025. United States JOLTS: Hires Rates: NF: Maine data is updated monthly, averaging 3.700 % from Dec 2000 (Median) to Feb 2025, with 291 observations. The data reached an all-time high of 7.900 % in May 2020 and a record low of 2.000 % in Feb 2014. United States JOLTS: Hires Rates: NF: Maine data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G137: Job Openings and Labor Turnover Survey: Hires Rate: by State.

  11. United States JOLTS: Hires Rates: NF: Rhode Island

    • ceicdata.com
    Updated Sep 29, 2024
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    CEICdata.com (2024). United States JOLTS: Hires Rates: NF: Rhode Island [Dataset]. https://www.ceicdata.com/en/united-states/job-openings-and-labor-turnover-survey-hires-rate-by-state
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    Dataset updated
    Sep 29, 2024
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    United States
    Description

    JOLTS: Hires Rates: NF: Rhode Island data was reported at 3.100 % in Feb 2025. This records a decrease from the previous number of 3.300 % for Jan 2025. JOLTS: Hires Rates: NF: Rhode Island data is updated monthly, averaging 3.600 % from Dec 2000 (Median) to Feb 2025, with 291 observations. The data reached an all-time high of 10.100 % in Jun 2020 and a record low of 2.000 % in Dec 2013. JOLTS: Hires Rates: NF: Rhode Island data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G137: Job Openings and Labor Turnover Survey: Hires Rate: by State.

  12. Factors motivating healthcare staff retention in the U.S. in 2020, by...

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Factors motivating healthcare staff retention in the U.S. in 2020, by influencer [Dataset]. https://www.statista.com/statistics/1251182/reasons-that-most-influence-healthcare-staff-to-remain-in-the-position/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2020 - Dec 2020
    Area covered
    United States
    Description

    According to a survey conducted in 2020, the reasons that most influence healthcare staff in the U.S. to remain in their actual job were either the ********************** or their **********. These two factors were each stated by over ** percent of the respondents. This survey reveals the extent to which peer relationships prevail in the intent to remain in a job, as opposed to job flexibility or career potential factors.

  13. United States JOLTS: Hires Rates: sa: NF: Virginia

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States JOLTS: Hires Rates: sa: NF: Virginia [Dataset]. https://www.ceicdata.com/en/united-states/job-openings-and-labor-turnover-survey-hires-rate-by-state/jolts-hires-rates-sa-nf-virginia
    Explore at:
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    United States
    Description

    United States JOLTS: Hires Rates: sa: NF: Virginia data was reported at 3.400 % in Feb 2025. This records a decrease from the previous number of 3.700 % for Jan 2025. United States JOLTS: Hires Rates: sa: NF: Virginia data is updated monthly, averaging 3.700 % from Dec 2000 (Median) to Feb 2025, with 291 observations. The data reached an all-time high of 7.200 % in Jun 2020 and a record low of 2.300 % in Apr 2020. United States JOLTS: Hires Rates: sa: NF: Virginia data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G137: Job Openings and Labor Turnover Survey: Hires Rate: by State.

  14. Registered nurse turnover rate in U.S. hospitals 2018-2024

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Registered nurse turnover rate in U.S. hospitals 2018-2024 [Dataset]. https://www.statista.com/statistics/1251498/tunrover-rate-of-registered-nurses-in-hospitals-in-the-united-states/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, the average turnover rate of all registered nurses (RNs) in U.S. hospitals stood at **** percent. The percentage of employees leaving hospitals has decreased since 2021 and for the first time it stands at a lower percentage than in 2020. At the same time, the turnover rate of all hospital staff was **** percent. For RNs who were full or part-time employees, turnover was consistently lower.

  15. Attrition rate among women in IT/ITes sector India 2020-2021, by employment...

    • statista.com
    Updated Aug 15, 2024
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    Statista (2024). Attrition rate among women in IT/ITes sector India 2020-2021, by employment level [Dataset]. https://www.statista.com/statistics/1324235/india-attrition-rate-among-women-in-it-ites-sector-by-employment-level/
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    Dataset updated
    Aug 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2021, the attrition rate was the highest among non-managerial women employees in the IT/ITes sector across India. Furthermore, the attrition rate among women in that sector had decreased from 2020 to 2021.

  16. Number of job-to-job resignations in the UK 2001-2025

    • statista.com
    Updated Jun 6, 2025
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    Statista (2025). Number of job-to-job resignations in the UK 2001-2025 [Dataset]. https://www.statista.com/statistics/1283657/uk-job-to-job-resignations/
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    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In the first quarter of 2025, approximately 220,000 job resignations took place in the United Kingdom, compared with 271,000 in the previous quarter. The number of resignations in Q2 2022 was the highest number taking place in a single quarter during this provided time period, reaching 446,000. In most years, there is a noticeable trend of resignations peaking in the fourth quarter of the year and being at their lowest in the first quarter. There is also a significant fall in people resigning from their jobs after the 2008 financial crisis and after the COVID-19 pandemic in 2020. The Great Resignation The high number of resignations that took place after COVID-19 hit also occurred in the United States. Throughout 2022, approximately 50 million American workers quit their jobs in a trend dubbed 'The Great Resignation' In both the UK and U.S. the trend corresponded with a very tight labor market. After emerging from the initial COVID-19 lockdowns, UK unemployment declined from 2021 onwards, falling to a low of just 3.6 percent in August 2022. There were also numerous job vacancies, which peaked in May 2024 at 1.3 million, though by the end of 2024, both indicators have returned to more typical levels. Labor market concerns for 2025 One of the main concerns of the UK government regarding the labor market is economic inactivity, in particular the reason for this inactivity, Since the COVID-19 pandemic, the number of people on long-term sick-leave, has increased substantially. At the start of 2020, there were approximately 2.12 million people economically inactive for this reason, with this increasing to almost 2.84 million by the end of 2023, with this declining only slightly to 2.77 million by the end of 2024. It is unclear if there is one overriding factor driving this surge, with possible causes including the prevalence of Long COVID, or the ongoing NHS crisis.

  17. d

    NHS Vacancy Statistics (and previous NHS Vacancies Survey)

    • digital.nhs.uk
    Updated Feb 25, 2021
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    (2021). NHS Vacancy Statistics (and previous NHS Vacancies Survey) [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-vacancies-survey
    Explore at:
    Dataset updated
    Feb 25, 2021
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2015 - Dec 31, 2020
    Area covered
    England
    Description

    This is the latest compendium publication in the NHS Vacancy Statistics series containing vacancy related data for the NHS. Data from Trac Recruitment Management Software (Trac) has been incorporated into the series which increases the intelligence provided and further enhances the compendium nature of the publication. The figures included in this series therefore now provide four different views on recruitment information for the NHS. Data from NHS Jobs, the Electronic Staff Record (ESR) and Trac provide a range of proxy data sources for NHS vacancies. The series also includes management information related to vacancies within the NHS which have been collected by NHS England and NHS Improvement. Due to the complex nature of how NHS vacancy data is defined and collected, all data sources should be treated with a degree of caution. NHS Digital look forward to developing the compendium publication further for future iterations of the series and remain committed to providing the best, most accurate and useful information possible to support the NHS and to serve the public good. To help with the development of this publication, feedback is continually welcomed and can be sent to: enquiries@nhsdigital.nhs.uk with the subject heading ‘NHS Vacancy Statistics publication feedback’.

  18. Cost of nurse turnover in the U.S. 2020-2024

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Cost of nurse turnover in the U.S. 2020-2024 [Dataset]. https://www.statista.com/statistics/1454126/cost-of-nurse-turnover-in-the-us/
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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 cost for U.S. hospitals to make up for one registered nurse who left (i.e. hire and train a new nurse) amounted to ****** U.S. dollars. This has increased by roughly *** percent compared to the previous year, and has been increasing year over year. To reduce such unnecessary cost, hospitals must strive for better retention.

  19. F

    Quits: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
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    (2025). Quits: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSQUR
    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: Total Nonfarm (JTSQUR) from Dec 2000 to May 2025 about quits, nonfarm, and USA.

  20. United States JOLTS: Hires Rates: sa: NF: California

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States JOLTS: Hires Rates: sa: NF: California [Dataset]. https://www.ceicdata.com/en/united-states/job-openings-and-labor-turnover-survey-hires-rate-by-state/jolts-hires-rates-sa-nf-california
    Explore at:
    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
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    United States
    Description

    United States JOLTS: Hires Rates: sa: NF: California data was reported at 2.900 % in Feb 2025. This records a decrease from the previous number of 3.200 % for Jan 2025. United States JOLTS: Hires Rates: sa: NF: California data is updated monthly, averaging 3.400 % from Dec 2000 (Median) to Feb 2025, with 291 observations. The data reached an all-time high of 6.700 % in May 2020 and a record low of 2.300 % in Jun 2024. United States JOLTS: Hires Rates: sa: NF: California data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G137: Job Openings and Labor Turnover Survey: Hires Rate: by State.

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Statista (2025). 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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Hospital staff turnover rate in the U.S. 2016-2024

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3 scholarly articles cite this dataset (View in Google Scholar)
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.

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