100+ datasets found
  1. 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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    pdf(199 KiB), csv(1.6 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    *This data is no longer being updated.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

  2. Global customer retention rates by industry 2018

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Global customer retention rates by industry 2018 [Dataset]. https://www.statista.com/statistics/1041645/customer-retention-rates-by-industry-worldwide/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Worldwide
    Description

    Customer retention rates are highest in the media and professional services industries, with a 2018 survey of businesses worldwide finding a customer retention rate of ** percent in both of these industries. The industry with the lowest customer retention rate was hospitality, travel and restaurants with ** percent.

  3. Android apps global retention rates 2024, by category

    • ai-chatbox.pro
    • statista.com
    Updated May 16, 2025
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    Statista (2025). Android apps global retention rates 2024, by category [Dataset]. https://www.ai-chatbox.pro/?_=%2Fstatistics%2F1497465%2Fandroid-apps-retention-rate-by-category%2F%23XgboD02vawLZsmJjSPEePEUG%2FVFd%2Bik%3D
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, libraries and demo apps had the highest retention rate among Android users worldwide. Apps in this category registered a 48.31 percent retention rate after one day from install, which dropped to 20.88 percent after a month. Comics apps followed, with a 47.56 percent retention rate on the first day after install, which experienced a decrease to 20.46 percent after 30 days. Android events apps, as well as weather apps, presented a retention rate of less than 20 percent after 30 days from the first install as of the examined period.

  4. E

    Customer Retention Statistics By Behaviour And Customer Service (2025)

    • electroiq.com
    Updated Jun 27, 2025
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    Electro IQ (2025). Customer Retention Statistics By Behaviour And Customer Service (2025) [Dataset]. https://electroiq.com/stats/customer-retention-statistics/
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    Dataset updated
    Jun 27, 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

    Customer Retention Statistics: Customer retention is the art and science of maintaining the attention of existing customers and persuading them to buy again without having to suffer the glaring cost of reaching out to fresh markets. Shifting from sales to nurturing relationships, loyalty programs, and personalised experiences to prevent customer churn was the main strategy carried out in 2024 by businesses worldwide.

    This article lays down vital Customer Retention statistics collected from credible sources, showing retention rates per industry, financial benefits of holding onto customers, the role of fast service, and data-driven retention solutions.

  5. t

    Customer Retention Statistics 2025

    • thesalescollective.com
    Updated Mar 1, 2025
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    The Sales Collective (2025). Customer Retention Statistics 2025 [Dataset]. https://thesalescollective.com/customer-retention-statistics-usa/
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    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    The Sales Collective
    License

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

    Time period covered
    Feb 24, 2024 - Feb 24, 2025
    Area covered
    United Kingdom
    Description

    A collection of statistics and survey data on customer retention strategies and challenges in the United Kingdom for the year 2025.

  6. Subscription commerce annual retention rate worldwide 2022, by product...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Subscription commerce annual retention rate worldwide 2022, by product category [Dataset]. https://www.statista.com/statistics/1419957/subscription-commerce-retention-rate-category/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    In 2022, home goods was the product category that had the highest annual retention rate among consumers who subscribed to receive these products regularly, at ** percent. Beauty and personal care subscribers had the second highest retention rate after 12 months with ** percent.

  7. EDA18 - Retention Rates of Pupils in Second Level Schools - Dataset -...

    • data.gov.ie
    Updated May 26, 2025
    + more versions
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    data.gov.ie (2025). EDA18 - Retention Rates of Pupils in Second Level Schools - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/eda18-retention-rates-of-pupils-in-second-level-schools
    Explore at:
    Dataset updated
    May 26, 2025
    Dataset provided by
    data.gov.ie
    License

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

    Description

    Your browser does not support iframes.

  8. r

    Schools Apparent Retention Rates, Victoria

    • researchdata.edu.au
    Updated Dec 20, 2021
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    data.vic.gov.au (2021). Schools Apparent Retention Rates, Victoria [Dataset]. https://researchdata.edu.au/schools-apparent-retention-rates-victoria/1877883
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    Dataset updated
    Dec 20, 2021
    Dataset provided by
    data.vic.gov.au
    License

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

    Description

    A dataset of schools apparent retention rates or ARR, all school sector in Victoria, from census year 2012 to 2023.\r This dataset is prepared and based on data collected from schools as part of the February School Census conducted on the last school day of February each year. It presents information for all government and non-government schools and student enrolments in Victoria, in particular secondary school years. The majority of the statistical data in this publication is drawn from school administration systems. The dataset includes analysis by school sector and sex, Koorie status, as well as on government schools by region.\r Apparent retention rates (ARR) are calculated based on aggregate enrolment data and provide an indicative measurement of student engagement in secondary education. The Department of Education and Training (DET) computes and publishes ARR data at a state-wide and DET region level only.\r \r The term "apparent" retention rate reflects that retention rates are influenced by factors not taken into account by this measure such as: Student repeating year levels, Interstate and overseas migration, Transfer of students between education sectors or schools, Student who have left school previously, returning to continue their school education.\r The ARR for year 7 to 12 (ARR 7-12) refers to the Year 12 enrolment expressed as a proportion of the Year 7 enrolment five years earlier. The ARR for year 10 to 12 (ARR 10-12) refers to the Year 12 enrolment expressed as a proportion of the Year 10 enrolment two years earlier.\r \r Please note that the ABS calculates apparent retention using the number of full-time school students only whereas at the DET we use the number of full-time equivalent school enrolments. Data reported in the ABS Schools, Australia collection is based on enrolment data collected in August by all jurisdictions.\r \r The Department has found that computing ARR at geographical areas smaller than DET regions (e.g. LGA, Postcode) can produce erratic and misleading results that are difficult to interpret or make use of. In small populations, relatively small changes in student numbers can create large movements in apparent retention rates. These populations might include smaller jurisdictions, Aboriginal and Torres Strait Islander students, and subcategories of the non-government affiliation. There are a number of reasons why apparent rates may generate results that differ from actual rates. \r Apparent retention rates provide an indicative measure of the number of full-time school students who have stayed in school, as at a designated year and grade of education. It is expressed as a percentage of the respective cohort group that those students would be expected to have come from, assuming an expected rate of progression of one grade per year.\r \r Provided ARR is a result of calculation of the whole census and is NOT to be re-calculated by average or sum.

  9. T

    Retention Rate Annual Data

    • performance.ci.janesville.wi.us
    application/rdfxml +5
    Updated Apr 12, 2023
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    (2023). Retention Rate Annual Data [Dataset]. https://performance.ci.janesville.wi.us/dataset/Retention-Rate-Annual-Data/64u2-rhw3
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    application/rssxml, application/rdfxml, tsv, xml, csv, jsonAvailable download formats
    Dataset updated
    Apr 12, 2023
    Description

    This data measures the cumulative annual retention rate for City employees.

  10. 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.

  11. 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.

  12. b

    Mobile Game Retention Rates (2025)

    • businessofapps.com
    Updated Sep 5, 2024
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    Business of Apps (2024). Mobile Game Retention Rates (2025) [Dataset]. https://www.businessofapps.com/data/mobile-game-retention-rates/
    Explore at:
    Dataset updated
    Sep 5, 2024
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Key Mobile Game Retention StatisticsMobile Game Retention by PlatformMobile Game Retention by GenreMobile Game Retention by RegionActions Users Performed in First WeekReasons to Continue...

  13. Global app retention rate Q1 2023, by category

    • statista.com
    Updated Jan 16, 2024
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    Statista (2024). Global app retention rate Q1 2023, by category [Dataset]. https://www.statista.com/statistics/1441141/app-retention-rate-by-category/
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    Dataset updated
    Jan 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In the first quarter of 2023, lifestyle apps, which included dating apps and health apps, had the highest retention rate after 30 days from the initial installation. In comparison, food and drink apps reported a retention rate of around four percent after one month from the initial download. Among all app categories analyzed, global retention after three days from install presented a rate of 17 percent.

  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. Student retention rates at NSW government schools (2014-2023)

    • data.nsw.gov.au
    • researchdata.edu.au
    csv, pdf
    Updated Mar 3, 2025
    + more versions
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    NSW Department of Education (2025). Student retention rates at NSW government schools (2014-2023) [Dataset]. https://data.nsw.gov.au/data/dataset/nsw-education-student-retention-rates-nsw-gov-schools
    Explore at:
    pdf(151686), csv(395), pdf(129474), csv(1021), pdf(173748), pdf(286524), csv(949), pdf(193811), csv(956), csv(230)Available download formats
    Dataset updated
    Mar 3, 2025
    Dataset provided by
    NSW Department of Educationhttps://education.nsw.gov.au/
    License

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

    Area covered
    New South Wales, Government of New South Wales
    Description

    The full-time apparent retention rate (ARR) measures the proportion of a cohort of full-time students that moves from one grade to the next, based on an expected rate of progression of one grade per year. It does not track individual students through their final years of secondary schooling.

    Data Notes:

    • The ARR is the ratio of the total number of full-time school students in a designated year (e.g. Year 12 in 2020) divided by the total number of full-time students in a previous year (e.g. Year 7 in 2015). This would be the Year 7 to 12 apparent retention rate in 2020.

    • From 2020, students in mainstream support classes (previously excluded from this data) are reported by their underlying grade of enrolment. As a result, data from 2020 onwards is not directly comparable to previous years. A separate column in the CSV files has been provided to show the 2020 retention rates with both previous and revised counting rules. 2021 retention rates use the revised counting rules.

    • Support students at Schools for specific purposes (SSPs) do not have a designated grade and therefore are not counted in the calculation of ARRs. Support students in mainstream schools have been included in the calculations from 2020 (see above).

    • Reporting on ARRs based on small numbers of students can lead to unreliable ARR estimates. The tables combine ABS SA4 areas to ensure the underlying number of students is sufficiently large to generate reliable estimates.

    • Only full-time students are counted in the calculation of full-time apparent retention. Part-time students are excluded.

    • Students enrolled in distance education classes are included with their appropriate grade levels. Sydney-Inner includes enrolments from Sydney Distance Education High School.

    • ARRs can exceed 100 per cent due to factors including student migration from interstate and overseas and between school sectors.

    • Norfolk Island Central School is not included in the Apparent Retention Rate factsheet, but from 2018 to 2021 was included under NSW Government data in the ABS Schools Australia publication. This can lead to a slight difference in reported figures between Schools Australia and this dataset.

    • Aboriginal and/or Torres Strait Islander students are identified based on responses to the school enrolment form. This information may change throughout an individual’s schooling.

    • Reporting by non-binary gender is not possible due to system limitations.

    Data Source:

  16. d

    State Employee New Hire Retention

    • catalog.data.gov
    • data.ok.gov
    • +2more
    Updated Nov 22, 2024
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    OKStateStat (2024). State Employee New Hire Retention [Dataset]. https://catalog.data.gov/dataset/state-employee-new-hire-retention
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    OKStateStat
    Description

    Increase the percentage of new state employee hires that are retained through 36 months from 49% in 2014 to 56% by 2019.

  17. d

    EDA14 - Retention Rates of Pupils in Second Level Schools

    • datasalsa.com
    csv, json-stat, px +1
    Updated Apr 7, 2024
    + more versions
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    Central Statistics Office (2024). EDA14 - Retention Rates of Pupils in Second Level Schools [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=eda14-retention-rates-of-pupils-in-second-level-schools
    Explore at:
    csv, px, json-stat, xlsxAvailable download formats
    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jun 22, 2025
    Description

    EDA14 - Retention Rates of Pupils in Second Level Schools. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Retention Rates of Pupils in Second Level Schools...

  18. d

    EDA18 - Retention Rates of Pupils in Second Level Schools

    • datasalsa.com
    csv, json-stat, px +1
    Updated Apr 8, 2024
    + more versions
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    Central Statistics Office (2024). EDA18 - Retention Rates of Pupils in Second Level Schools [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=eda18-retention-rates-of-pupils-in-second-level-schools
    Explore at:
    csv, px, json-stat, xlsxAvailable download formats
    Dataset updated
    Apr 8, 2024
    Dataset authored and provided by
    Central Statistics Office
    License

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

    Time period covered
    Jun 2, 2025
    Description

    EDA18 - Retention Rates of Pupils in Second Level Schools. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Retention Rates of Pupils in Second Level Schools...

  19. d

    City University of New York (CUNY) University Retention and Graduation...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +4more
    Updated Jan 31, 2025
    + more versions
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    State of New York (2025). City University of New York (CUNY) University Retention and Graduation Rates: Beginning 1990 [Dataset]. https://catalog.data.gov/dataset/city-university-of-new-york-cuny-university-retention-and-graduation-rates-beginning-1990
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    State of New York
    Area covered
    New York
    Description

    Data set contains one year retention rates and 150 time graduation rates (3yr rates for associate degree seekers and 6yr rates for baccalaureate seekers) for all CUNY colleges from 1990 through present where applicable for first-time, full-time freshmen.

  20. Average staff retention rate in the United States 2019

    • statista.com
    Updated Jul 6, 2022
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    Statista (2022). Average staff retention rate in the United States 2019 [Dataset]. https://www.statista.com/statistics/917949/learning-and-development-us-average-retention-rate/
    Explore at:
    Dataset updated
    Jul 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    Almost 20 percent of learning and development (L&D) professionals in the United States declared retaining their staff for an average of 5 to 10 years, as of 2019. The average staff retention rate for 6 percent of L&D professionals ranged from six months to one year during the same period.

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Education (2024). Employee retention rates - DETE [Dataset]. https://www.data.qld.gov.au/dataset/employee-retention-rates-dete

Employee retention rates - DETE

Explore at:
pdf(199 KiB), csv(1.6 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

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