100+ datasets found
  1. d

    State Employee Turnover Rate

    • catalog.data.gov
    • data.ok.gov
    • +2more
    Updated Nov 22, 2024
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    Office of Management and Enterprise Services (2024). State Employee Turnover Rate [Dataset]. https://catalog.data.gov/dataset/state-employee-turnover-rate
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Office of Management and Enterprise Services
    Description

    Maintain the state employee turnover rate at or below the annual regional average of surrounding states every year through 2019.

  2. O

    Employee retention rates - DETE

    • data.qld.gov.au
    • devweb.dga.links.com.au
    csv, pdf
    Updated Jul 26, 2024
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    Education (2024). Employee retention rates - DETE [Dataset]. https://www.data.qld.gov.au/dataset/employee-retention-rates-dete
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    csv(1.6 KiB), pdf(199 KiB)Available download formats
    Dataset updated
    Jul 26, 2024
    Dataset authored and provided by
    Education
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Ratio of employees who have been retained by the department against the establishment count.

    *This data is no longer being updated. For more information please refer to Workforce statistics at https://www.forgov.qld.gov.au/recruitment-performance-and-career/workforce-planning/workforce-statistics-and-tools/workforce-statistics

  3. Employee Turnover Analytics Dataset

    • kaggle.com
    Updated Jun 8, 2023
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    Akshay Hedau (2023). Employee Turnover Analytics Dataset [Dataset]. https://www.kaggle.com/datasets/akshayhedau/employee-turnover-analytics-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Akshay Hedau
    Description

    Portobello Tech is an app innovator that has devised an intelligent way of predicting employee turnover within the company. It periodically evaluates employees' work details including the number of projects they worked upon, average monthly working hours, time spent in the company, promotions in the last 5 years, and salary level. Data from prior evaluations show the employee’s satisfaction at the workplace. The data could be used to identify patterns in work style and their interest to continue to work in the company. The HR Department owns the data and uses it to predict employee turnover. Employee turnover refers to the total number of workers who leave a company over a certain time period.

  4. d

    5.07 Employee Turnover (summary)

    • catalog.data.gov
    • performance.tempe.gov
    • +9more
    Updated Jan 17, 2025
    + more versions
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    City of Tempe (2025). 5.07 Employee Turnover (summary) [Dataset]. https://catalog.data.gov/dataset/5-07-employee-turnover-summary-ff770
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    Dataset updated
    Jan 17, 2025
    Dataset provided by
    City of Tempe
    Description

    Turnover data by fiscal year for the City of Tempe compared to the seven market cities which included Chandler, Gilbert, Glendale, Mesa, Phoenix, Peoria and Scottsdale. There are two totals, one with and one without retires.Please note that the Valley Benchmark Cities’ annual average is unavailable for FY 2020/2021 due to a gap in data collection during that year.Please note that corrections were made to the data, including historic data, due to additional review and research on the data on 10/2/2024.This page provides data for the Employee Turnover performance measure.The performance measure dashboard is available at 5.07 Employee Turnover.Additional InformationSource: Department ReportsContact: Lawrence La VictoireContact E-Mail: lawrence_lavictoire@tempe.govData Source Type: ExcelPreparation Method: Extracted from PeopleSoft and requested data from other cities is entered manually into a spreadsheet and calculations are conducted to determine percent of turnover per fiscal yearPublish Frequency:AnnuallyPublish Method: ManualData Dictionary

  5. Employee turnover at Nykaa 2021-2023

    • statista.com
    Updated Dec 12, 2024
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    Statista (2024). Employee turnover at Nykaa 2021-2023 [Dataset]. https://www.statista.com/statistics/1242293/nykaa-employee-retention/
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    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2021 - Sep 2023
    Area covered
    India
    Description

    In September 2023, seven employees left Nykaa, while eight were newly employed. In the year 2022, the number of new employees outnumbered the number of employees leaving the company. Therefore, Nykaa has a high retention of employees.

  6. Classified Employee Turnover Data

    • data.ok.gov
    • catalog.data.gov
    • +2more
    csv
    Updated Oct 31, 2019
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    Classified Employee Turnover Data [Dataset]. https://data.ok.gov/dataset/classified-employee-turnover-data
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2019
    Dataset provided by
    Oklahoma Office of Management and Enterprise Serviceshttp://www.omes.ok.gov/
    Authors
    Office of Management and Enterprise Services
    Description

    Overall and voluntary turnover data for State of Oklahoma classified employees beginning in fiscal year 2007.

  7. Contribution of corporate culture to employee retention in the GSA region...

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Contribution of corporate culture to employee retention in the GSA region 2023 [Dataset]. https://www.statista.com/statistics/1413751/corporate-culture-employee-retention-gsa-region/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Switzerland, Germany, Europe, Austria
    Description

    Corporate culture plays an important role in employee retention as a positive work environment can contribute to mental well-being and a desire for an employee to stay at a company long-term. In Germany, Austria, and Switzerland, the most important factor that contributed to retaining workers was *****************************. What is important to employees? When it comes to what leadership thinks is important to employees’ performance recognition, fair treatment, and managers making enough time for their employees took the top three spots. Since the pandemic especially, expectations of the workplace have changed. For example, it has become much more common for people to work from home. These expectations of the workplace also differ by generation. Whilst older generations are more used to traditional expectations, many millennials in Germany wish that flexible working hours, work location, and diverse management were more important to employers. Employment in Germany Employment rates in Germany have remained stable over the last few years, even slightly increasing. However, despite the fairly high employment figures, there are still professions that are suffering from a shortage of workers. Some of the professions with the largest shortage of employees were the production of natural stones, minerals, and building materials, floor installation, and acting, dance, and movement art.

  8. Classified Employee Turnover Rates

    • data.ok.gov
    • s.cnmilf.com
    • +2more
    csv
    Updated Oct 31, 2019
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    Office of Management and Enterprise Services (2019). Classified Employee Turnover Rates [Dataset]. https://data.ok.gov/dataset/classified-employee-turnover-rates
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    csvAvailable download formats
    Dataset updated
    Oct 31, 2019
    Dataset provided by
    Oklahoma Office of Management and Enterprise Serviceshttp://www.omes.ok.gov/
    Authors
    Office of Management and Enterprise Services
    Description

    Turnover rates for State of Oklahoma classified employees beginning in fiscal year 2000.

  9. E

    Payroll Statistics By Employee Retention, Automation And Facts (2025)

    • electroiq.com
    Updated Jul 2, 2025
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    Electro IQ (2025). Payroll Statistics By Employee Retention, Automation And Facts (2025) [Dataset]. https://electroiq.com/stats/payroll-statistics/
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    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Electro IQ
    License

    https://electroiq.com/privacy-policyhttps://electroiq.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Introduction

    Payroll Statistics: Payroll management is an important facet affecting business operations, employee satisfaction, compliance, and financial planning. In the year 2024, several trends began appearing, reshaping the way organisations look at payroll.

    In 2024, payroll emerged as a critical business function, with nearly 70 percent of companies reporting issues in their payroll data, and over 82 million American workers experiencing paycheck errors at some point. About 65 percent of employees relied on each paycheck to cover basic expenses, and 95.15 percent were paid via direct deposit. In the private sector, 43 percent of establishments adopted a biweekly pay cycle, making it the most common rhythm, followed by 27 percent on weekly pay, 19.8 percent semi‑monthly, and 10.3 percent monthly. Payroll inaccuracies carried a tangible cost: a 1.2 percent error rate across a payroll of 100 employees earning $900 weekly could cost $56,647 annually.

    Small businesses typically devoted more than six hours each month to payroll tasks, with one-third reporting that payroll consumed over 35 percent of HR effort. Cloud and automation adoption reached approximately 74 percent, yet 85 percent of organizations still encountered challenges with their payroll technologies.  Additionally, around 53 percent of companies were penalized for non‑compliance within five years.

    This article shall talk about some up-to-date Payroll statistics and latest insights so as to offer a full overview of the current scenario of payroll.

  10. 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.

  11. Data from: Job Openings and Labor Turnover Survey

    • catalog.data.gov
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Job Openings and Labor Turnover Survey [Dataset]. https://catalog.data.gov/dataset/job-openings-and-labor-turnover-survey-ac52c
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    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Job Openings and Labor Turnover Survey (JOLTS) 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. Unadjusted counts and rates of all data elements are published by supersector and select sector based on the North American Industry Classification System (NAICS). The number of unfilled jobs—used to calculate the job openings rate—is an important measure of the unmet demand for labor. With that statistic, it is possible to paint a more complete picture of the U.S. labor market than by looking solely at the unemployment rate, a measure of the excess supply of labor. Information on labor turnover is valuable in the proper analysis and interpretation of labor market developments and as a complement to the unemployment rate. For more information and data visit: https://www.bls.gov/jlt/

  12. Top factors contributing to recruiting and retention challenges in the U.S....

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Top factors contributing to recruiting and retention challenges in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1332197/factors-influencing-recruitment-retention-problems-worldwide/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024 - Feb 2024
    Area covered
    United States
    Description

    Recruiting and retaining top talent in the U.S. workforce continues to be a significant challenge for employers in 2024. Salary expectations and work-life balance are the leading factors influencing recruitment and retention, with ** percent of respondents citing these as primary concerns. This underscores the evolving priorities of the modern workforce, where compensation and quality of life hold equal importance.

  13. i

    Employee turnover

    • opendata.infrabel.be
    • ckan.mobidatalab.eu
    • +1more
    csv, excel, json
    Updated Jul 5, 2022
    + more versions
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    (2022). Employee turnover [Dataset]. https://opendata.infrabel.be/explore/dataset/personeelsverloop/
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    excel, json, csvAvailable download formats
    Dataset updated
    Jul 5, 2022
    License

    https://infrabel.opendatasoft.com/pages/license/https://infrabel.opendatasoft.com/pages/license/

    Description

    Number of recruited and departed staff members per month.Disclaimer : the statistics in this dataset are presented on a monthly basis, but are updated every morning following internal recalculations. It is therefore possible that the figures may vary slightly, both for the current period - if this is given - and for previous periods.

  14. Employee retention rates - DETE

    • researchdata.edu.au
    Updated Nov 4, 2013
    + more versions
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    data.qld.gov.au (2013). Employee retention rates - DETE [Dataset]. https://researchdata.edu.au/employee-retention-rates-dete/658882
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    Dataset updated
    Nov 4, 2013
    Dataset provided by
    Queensland Governmenthttp://qld.gov.au/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Ratio of employees who have been retained by the department against the establishment count.\r \r *This data is no longer being updated. For more information please refer to Workforce statistics at \r https://www.forgov.qld.gov.au/recruitment-performance-and-career/workforce-planning/workforce-statistics-and-tools/workforce-statistics\r

  15. T

    Employee Turnover

    • citydata.mesaaz.gov
    • data.mesaaz.gov
    application/rdfxml +5
    Updated Jul 1, 2025
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    Human Resources (2025). Employee Turnover [Dataset]. https://citydata.mesaaz.gov/Human-Resources/Employee-Turnover/6b4j-9t77
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    csv, application/rdfxml, tsv, application/rssxml, xml, jsonAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Human Resources
    Description

    Aggregated information about employee turnover in the City of Mesa. The term "Termination" used in this dataset also includes employees who left voluntarily.

  16. A

    5.07 Employee Turnover

    • data.amerigeoss.org
    • gimi9.com
    • +1more
    html
    Updated Aug 12, 2021
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    United States (2021). 5.07 Employee Turnover [Dataset]. https://data.amerigeoss.org/dataset/5-07-employee-turnover-fa93e
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    htmlAvailable download formats
    Dataset updated
    Aug 12, 2021
    Dataset provided by
    United States
    License

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

    Description

    This page provides information for the Employee Turnover performance measure.

  17. t

    5.07 Employee Turnover (dashboard)

    • data.tempe.gov
    • catalog.data.gov
    • +1more
    Updated Dec 3, 2019
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    City of Tempe (2019). 5.07 Employee Turnover (dashboard) [Dataset]. https://data.tempe.gov/app/5-07-employee-turnover-dashboard
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    Dataset updated
    Dec 3, 2019
    Dataset authored and provided by
    City of Tempe
    License

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

    Description

    This operations dashboard shows historic and current data related to this performance measure. The performance measure dashboard is available at 5.07 Employee Turnover. Data Dictionary

  18. Coronavirus Job Retention Scheme statistics: 16 December 2021

    • gov.uk
    Updated Dec 16, 2021
    + more versions
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    HM Revenue & Customs (2021). Coronavirus Job Retention Scheme statistics: 16 December 2021 [Dataset]. https://www.gov.uk/government/statistics/coronavirus-job-retention-scheme-statistics-16-december-2021
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    Dataset updated
    Dec 16, 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.

    This publication covers all Coronavirus Job Retention Scheme claims submitted by employers from the start of the scheme up to 30 September 2021. 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
    • estimated annual pay
    • how long jobs have been on furlough continuously

    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.

  19. Employee Retention Loyalty Management Software Market Report | Global...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 2, 2024
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    Dataintelo (2024). Employee Retention Loyalty Management Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-employee-retention-loyalty-management-software-market
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    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Employee Retention Loyalty Management Software Market Outlook



    The global employee retention loyalty management software market is projected to grow from USD 1.5 billion in 2024 to USD 3.2 billion by 2032, driven by increasing investments in employee engagement and rising awareness about the benefits of such software in enhancing workforce loyalty and retention rates.



    One of the primary growth factors in this market is the heightened focus on employee engagement and satisfaction amid increasing competition for talent. Organizations are recognizing that retaining skilled employees is not only cost-effective compared to hiring new ones but also crucial for maintaining productivity and continuity. This has led to significant investments in loyalty management software that provides tools for feedback, recognition, and rewards, which are essential for fostering a supportive work environment.



    Another important driver is the rapid adoption of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) in loyalty management software. These technologies enable the creation of more personalized and effective engagement strategies by analyzing employee behavior and predicting their needs. The ability to offer tailored experiences and address individual employee concerns proactively has made AI and ML incredibly valuable components in this market.



    The growing prevalence of remote work and hybrid work environments also contributes to the market's expansion. As companies adapt to these new models, they are increasingly reliant on software solutions to maintain engagement and ensure that employees feel connected and valued, regardless of their physical location. This shift necessitates robust loyalty management systems that can operate efficiently in a decentralized work environment, thus driving demand for such software.



    Regionally, North America is expected to lead the market due to the high adoption rate of HR technologies and the significant presence of key market players in the region. However, the Asia Pacific region is anticipated to witness the highest growth rate, driven by rapid industrialization and the increasing importance of employee satisfaction in emerging economies like China and India.



    Component Analysis



    The employee retention loyalty management software market is segmented by component into Software and Services. The software segment encompasses various platforms and applications designed to facilitate employee engagement and retention. This segment is witnessing substantial growth due to the continuous innovation and integration of advanced features such as real-time feedback, analytics, and AI-driven insights. Companies are increasingly investing in software solutions that offer comprehensive engagement tools to enhance employee satisfaction and retention rates.



    On the other hand, the services segment includes consulting, implementation, and maintenance services provided by vendors. This segment plays a crucial role in ensuring the successful deployment and optimal utilization of loyalty management software. As organizations strive to maximize the benefits of these software solutions, they are increasingly seeking expert guidance and support, thereby driving the demand for services. The services segment is expected to grow steadily as it provides essential support for seamless integration and continuous improvement of loyalty management systems.



    The integration of software and services is critical for addressing the diverse needs of organizations and delivering customized solutions that align with their specific requirements. Companies that offer a combination of cutting-edge software and comprehensive services are likely to gain a competitive edge in the market. Additionally, the growing trend of outsourcing HR functions to specialized service providers further boosts the services segment, allowing organizations to focus on their core business activities while leveraging external expertise for employee engagement and retention.



    Moreover, the increasing emphasis on data security and compliance with regulations such as GDPR and CCPA is driving the demand for software solutions that offer robust data protection features. Service providers are also playing a pivotal role in helping organizations navigate the complex regulatory landscape and ensure compliance. As a result, both the software and services segments are expected to experience sustained growth in the coming years, driven by the need for secure, efficient, and effective loyalty management s

  20. Contribution of leadership to employee retention in the GSA region 2023

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Contribution of leadership to employee retention in the GSA region 2023 [Dataset]. https://www.statista.com/statistics/1414760/leadership-employee-retention-gsa-region/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Europe, Germany, Austria, Switzerland
    Description

    In 2023, around ** percent of respondents said that performance recognition was the most important factor when it came to leadership contribution toward employee retention in Germany, Austria, and Switzerland. Fair treatment and managers making enough time for employees also ranked highly on the list.

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Office of Management and Enterprise Services (2024). State Employee Turnover Rate [Dataset]. https://catalog.data.gov/dataset/state-employee-turnover-rate

State Employee Turnover Rate

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 22, 2024
Dataset provided by
Office of Management and Enterprise Services
Description

Maintain the state employee turnover rate at or below the annual regional average of surrounding states every year through 2019.

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