29 datasets found
  1. Share of human resources managers in the U.S. 2020-2023, by gender

    • statista.com
    Updated Feb 21, 2024
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    Share of human resources managers in the U.S. 2020-2023, by gender [Dataset]. https://www.statista.com/statistics/1088059/share-human-resources-managers-united-states-gender/
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    Dataset updated
    Feb 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, almost 24 percent of human resources managers in the United States were men. In 2022, there were approximately 167,000 human resources managers in the United States.

  2. Share of human resources workers in the U.S. 2020-2023, by gender

    • statista.com
    Updated Feb 21, 2024
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    Share of human resources workers in the U.S. 2020-2023, by gender [Dataset]. https://www.statista.com/statistics/1088073/share-human-resources-workers-united-states-gender/
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    Dataset updated
    Feb 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, almost 24 percent of human resources workers in the United States were men. In the same year, there were approximately 780,000 human resources workers in the United States.

  3. The Cabinet of the Administration is the General Administration of...

    • data.gov.tw
    csv
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    Directorate-General of Personnel Administration, Executive Yuan, The Cabinet of the Administration is the General Administration of Personnel, the Institute of Public Service Human Resource Development, Ministry of Development, and Staff (Teaching) Officer (Total) Gender Statistics Report [Dataset]. https://data.gov.tw/en/datasets/112645
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    csvAvailable download formats
    Dataset provided by
    Directorate-General of Personnel Administrationhttps://www.dgpa.gov.tw/en/index?mid=138
    Authors
    Directorate-General of Personnel Administration, Executive Yuan
    License

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

    Description

    Personnel Administration Department of the Executive Yuan Civil Service Development Institute Staff (teaching) and Officer (total) Rank Gender Statistics

  4. o

    Infrabel staff breakdown by gender

    • odwb.be
    • digitalwallonia.opendatasoft.com
    csv, excel, json
    Updated Feb 10, 2025
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    (2025). Infrabel staff breakdown by gender [Dataset]. https://www.odwb.be/explore/dataset/verdeling-man-vrouw-van-het-personeel/
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    csv, json, excelAvailable download formats
    Dataset updated
    Feb 10, 2025
    License

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

    Description

    Staff paid by Infrabel, expressed in number of persons and divided by gender.Disclaimer : The statistics in this dataset are presented on a monthly basis, but are updated every morning after internal recalculations. It is therefore possible that the figures differ slightly, both for the current period - if given - and for previous periods.

  5. The table of statistics on the age and gender of trainees at the Civil...

    • data.gov.tw
    csv
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    Directorate-General of Personnel Administration, Executive Yuan, The table of statistics on the age and gender of trainees at the Civil Service Human Resource Development Institute of the Administration Yuan's Directorate-General of Personnel Administration. [Dataset]. https://data.gov.tw/en/datasets/73022
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    csvAvailable download formats
    Dataset provided by
    Directorate-General of Personnel Administrationhttps://www.dgpa.gov.tw/en/index?mid=138
    Authors
    Directorate-General of Personnel Administration, Executive Yuan
    License

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

    Description

    Campus, Age, Gender, Number, Data Statistical Period

  6. Publishing industry workforce UK 2018-2021, by gender

    • statista.com
    Updated Dec 6, 2023
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    Publishing industry workforce UK 2018-2021, by gender [Dataset]. https://www.statista.com/statistics/1218495/publishing-industry-workforce-uk-by-gender/
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    Dataset updated
    Dec 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    According to a socio-demographic study on employment in publishing in the United Kingdom, men made up 36 percent of the publishing workforce in 2021. The majority of publishing employees were women, not only in junior roles but also in executive leadership and senior management. Data also shows that women accounted for more than 70 percent of roles in departments such as publicity, marketing, editorial, and human resources.

  7. C

    Manpower paid by Infrabel by gender

    • ckan.mobidatalab.eu
    • opendata.infrabel.be
    • +1more
    Updated Jul 5, 2022
    + more versions
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    Human Resources and Organization (2022). Manpower paid by Infrabel by gender [Dataset]. https://ckan.mobidatalab.eu/dataset/manpower-paid-by-infrabel-by-gender1
    Explore at:
    https://www.iana.org/assignments/media-types/text/turtle, https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/application/rdf+xml, https://www.iana.org/assignments/media-types/application/octet-stream, https://www.iana.org/assignments/media-types/text/csv, https://www.iana.org/assignments/media-types/text/n3, https://www.iana.org/assignments/media-types/application/ld+json, https://www.iana.org/assignments/media-types/application/xlsAvailable download formats
    Dataset updated
    Jul 5, 2022
    Dataset provided by
    Human Resources and Organization
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Personnel paid by Infrabel, expressed in number of persons and split by gender.

    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.


  8. 2019 Public Service Employee Survey

    • open.canada.ca
    • gimi9.com
    • +1more
    csv, xlsx
    Updated Sep 1, 2020
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    Treasury Board of Canada Secretariat (2020). 2019 Public Service Employee Survey [Dataset]. https://open.canada.ca/data/en/dataset/2e4a1eb3-82ba-4a14-a5a3-f40bc11660bf
    Explore at:
    csv, xlsxAvailable download formats
    Dataset updated
    Sep 1, 2020
    Dataset provided by
    Treasury Board of Canadahttps://www.canada.ca/en/treasury-board-secretariat/corporate/about-treasury-board.html
    Treasury Board of Canada Secretariathttp://www.tbs-sct.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The 2019 Public Service Employee Survey (PSES) administered by Advanis, on behalf of the Office of the Chief Human Resources Officer, Treasury Board of Canada. The 2019 Public Service Employee Survey measured federal public servants’ opinions in relation to employee engagement, leadership, the workforce, the workplace, workplace well-being and compensation. The 2019 Public Service Employee Survey was conducted from July 22 to September 6, 2019. A total of 182,306 employees in 86 federal departments and agencies responded to the 2019 Public Service Employee Survey, for a response rate of 62.3%. The 2019 Public Service Employee Survey datasets contain the results of the survey by year (2019, 2018, 2017, 2014, 2011 and 2008) for the Public Service and departments/agencies, and the results broken down by demographic characteristics (e.g., age, gender) and organizational units. Results for 2018, 2017, 2014, 2011 and 2008 are only provided for questions repeated in the 2019 Public Service Employee Survey.

  9. g

    Northern Ireland Civil Service Employment Statistics

    • gimi9.com
    • data.europa.eu
    Updated May 22, 2017
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    (2017). Northern Ireland Civil Service Employment Statistics [Dataset]. https://gimi9.com/dataset/uk_northern-ireland-civil-service-employment-statistics
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    Dataset updated
    May 22, 2017
    Area covered
    Northern Ireland
    Description

    Figures at the Northern Ireland level, N I Civil Service staff numbers by department disaggregated by headcount, full-time equivalents, permanent, temporary/casual, gender and by analogous grade level for permanent staff. These are collated from the relevant electronic Human Resource (HR) systems on a quarterly basis and an accompanying statistical report is published on the NISRA website.https://www.nisra.gov.uk/statistics/ni-civil-service-human-resource-statistics/employment-statistics

  10. d

    The Taiwan Water Corporation's current statistics on employee gender and...

    • data.gov.tw
    csv
    Updated Mar 6, 2025
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    Taiwan Water Corporation (2025). The Taiwan Water Corporation's current statistics on employee gender and age. [Dataset]. https://data.gov.tw/en/datasets/25684
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    csvAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Taiwan Water Corporation
    License

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

    Description

    In recent years, the concept of gender equality has gradually been implemented in legislation. With the joint efforts of the Labor Commission and various sectors of society, there has been significant progress in safeguarding women's labor rights and promoting measures for work equality. This has also led to an increasingly important impact of women's participation in the labor market in Taiwan. The Taiwan Water Corporation has also been promoting gender equality measures in accordance with the law to create a friendly workplace environment. In addition, senior employees are mature human resources, and their long-term service experience can stabilize the organization, making them key personnel in problem solving. Effectively passing on knowledge and skills is also a major challenge for the future. This dataset provides statistical analysis of the number of existing employees of the Taiwan Water Corporation by gender and age.

  11. m

    State Employee Diversity Dashboard

    • mass.gov
    Updated Jan 13, 2025
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    Human Resources (2025). State Employee Diversity Dashboard [Dataset]. https://www.mass.gov/info-details/state-employee-diversity-dashboard
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    Dataset updated
    Jan 13, 2025
    Dataset provided by
    Office of Diversity and Equal Opportunity
    Human Resources
    Area covered
    Massachusetts
    Description

    Explore demographic data on the Massachusetts executive branch workforce. Track our progress toward our goals to reflect the diversity of the people we serve, and to stand out as an employer of choice.

  12. w

    City of Gainesville Job Applicants by Gender 2014

    • data.wu.ac.at
    csv, json, xml
    Updated Jul 17, 2017
    + more versions
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    Human Resources/Organizational Development Department (2017). City of Gainesville Job Applicants by Gender 2014 [Dataset]. https://data.wu.ac.at/schema/stat_cityofgainesville_org/cG51Yi1qampk
    Explore at:
    csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 17, 2017
    Dataset provided by
    Human Resources/Organizational Development Department
    License

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

    Description

    Applicant demographic data for submissions to open positions at City of Gainesville (General Government & GRU) since October 2011.

  13. 2017 Public Service Employee Survey

    • ouvert.canada.ca
    • datasets.ai
    • +2more
    csv, xlsx
    Updated Aug 24, 2018
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    Treasury Board of Canada Secretariat (2018). 2017 Public Service Employee Survey [Dataset]. https://ouvert.canada.ca/data/dataset/9322c841-1498-4f18-91c5-3e09235f63ac
    Explore at:
    csv, xlsxAvailable download formats
    Dataset updated
    Aug 24, 2018
    Dataset provided by
    Treasury Board of Canadahttps://www.canada.ca/en/treasury-board-secretariat/corporate/about-treasury-board.html
    Treasury Board of Canada Secretariathttp://www.tbs-sct.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Aug 21, 2017 - Sep 29, 2017
    Description

    The 2017 Public Service Employee Survey (PSES) was led by the Office of the Chief Human Resources Officer (Treasury Board of Canada Secretariat), in collaboration with Statistics Canada. The 2017 Public Service Employee Survey measured federal public servants’ opinions in relation to employee engagement, leadership, the workforce, the workplace, workplace well-being and compensation. The 2017 Public Service Employee Survey was conducted from August 21 to September 29, 2017. A total of 174 544 employee in 86 federal departments and agencies responded to the survey, for a response rate of 61.3%. The 2017 Public Service Employee Survey datasets contain the results of the survey by year (2017, 2014, 2011 and 2008) for the Public Service and departments/agencies, and the results broken down by demographic characteristics (e.g., age, gender) and organizational units. Results for 2014, 2011 and 2008 are only provided for questions repeated in the 2017 Public Service Employee Survey. Notice of correction: Results broken down by organizational units in Employment and Social Development Canada have been revised and updated on August 22, 2018.

  14. C

    Monthly hires by gender

    • ckan.mobidatalab.eu
    • opendata.infrabel.be
    • +1more
    Updated Oct 6, 2023
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    Human Resources and Organization (2023). Monthly hires by gender [Dataset]. https://ckan.mobidatalab.eu/dataset/yearly-hires-by-gender1
    Explore at:
    https://www.iana.org/assignments/media-types/application/ld+json, https://www.iana.org/assignments/media-types/application/xls, https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/application/octet-stream, https://www.iana.org/assignments/media-types/text/n3, https://www.iana.org/assignments/media-types/text/csv, https://www.iana.org/assignments/media-types/application/rdf+xml, https://www.iana.org/assignments/media-types/text/turtleAvailable download formats
    Dataset updated
    Oct 6, 2023
    Dataset provided by
    Human Resources and Organization
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Monthly number of employees recruited, broken down by gender.

    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.


  15. Predicting Employee Attrition

    • kaggle.com
    Updated Nov 22, 2021
    + more versions
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    PavanKalyan (2021). Predicting Employee Attrition [Dataset]. https://www.kaggle.com/pavan9065/predicting-employee-attrition/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 22, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    PavanKalyan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Problem Statement:

    In recent years, attention has increasingly been paid to human resources (HR), since worker quality and skills represent a growth factor and a real competitive advantage for companies. After proving its mettle in sales and marketing, artificial intelligence is also becoming central to employee-related decisions within HR management. Organizational growth largely depends on staff retention. Losing employees frequently impacts the morale of the organization and hiring new employees is more expensive than retaining existing ones.

    You are working as a data scientist with HR Department of a large insurance company focused on sales team attrition. Insurance sales teams help insurance companies generate new business by contacting potential customers and selling one or more types of insurance. The department generally sees high attrition and thus staffing becomes a crucial aspect.

    To aid staffing, you are provided with the monthly information for a segment of employees for 2016 and 2017 and tasked to predict whether a current employee will be leaving the organization in the upcoming two quarters (01 Jan 2018 - 01 July 2018) or not, given:

    Demographics of the employee (city, age, gender etc.) Tenure information (joining date, Last Date) Historical data regarding the performance of the employee (Quarterly rating, Monthly business acquired, designation, salary)

    Context

    Uncover the factors that lead to employee attrition and explore important questions such as ‘show me a breakdown of distance from home by job role and attrition’ or ‘compare average monthly income by education and attrition’.

    Content

    This dataset is about employee attrition prediction.

    The data contains 19,104 instances (employees) with other features such as Age, gender, city, Date of joining, Last working date, Designation etc

    Inspiration

    This prediction would be useful for Hr analytics and to decrease employee attrition.

  16. u

    2018 Public Service Employee Survey Results - Catalogue - Canadian Urban...

    • data.urbandatacentre.ca
    Updated Oct 22, 2024
    + more versions
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    (2024). 2018 Public Service Employee Survey Results - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-a2f9e2ca-237b-4dda-ba19-d52c84844b54
    Explore at:
    Dataset updated
    Oct 22, 2024
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    The 2018 Public Service Employee Survey (PSES) administered by Advanis, on behalf of the Office of the Chief Human Resources Officer, Treasury Board of Canada. The 2018 Public Service Employee Survey measured federal public servants’ opinions in relation to employee engagement, leadership, the workforce, the workplace, workplace well-being and compensation. The 2018 Public Service Employee Survey was conducted from August 20, 2018 to October 5, 2018. A total of 163 121 employee in 84 federal departments and agencies responded to the survey, for a response rate of 57.7%. The 2018 Public Service Employee Survey datasets contain the results of the survey by year (2018, 2017, 2014, 2011 and 2008) for the Public Service and departments/agencies, and the results broken down by demographic characteristics (e.g., age, gender) and organizational units. Results for 2017, 2014, 2011 and 2008 are only provided for questions repeated in the 2018 Public Service Employee Survey.

  17. P

    Solomon Islands Performance Assessment Report 2015-2016

    • pacificdata.org
    pdf
    Updated Feb 16, 2020
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    SPC Statistics for Development Division (SDD) (2020). Solomon Islands Performance Assessment Report 2015-2016 [Dataset]. https://pacificdata.org/data/dataset/activity/oai-www-spc-int-bebce4ce-d00a-45a9-863d-61bf05da3f2a
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    pdfAvailable download formats
    Dataset updated
    Feb 16, 2020
    Dataset provided by
    SPC Statistics for Development Division (SDD)
    Description

    Solomon Island Ministry of Education and Human Resource Development.

  18. G

    Jobs, hours worked and income in tourism industries, by gender, age group...

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Sep 23, 2024
    + more versions
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    Statistics Canada (2024). Jobs, hours worked and income in tourism industries, by gender, age group and immigrant status [Dataset]. https://open.canada.ca/data/dataset/b2fa8f54-a568-4d78-bb4d-b81f441ae612
    Explore at:
    html, csv, xmlAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The Tourism human resource module provides data on jobs in tourism industries. This table includes jobs, hours worked and income of employees in tourism industries, by gender, age group and immigrant status.

  19. P

    Solomon Islands Performance Assessment Framework Report 2009-2011

    • pacificdata.org
    pdf
    Updated Feb 16, 2020
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    SPC Statistics for Development Division (SDD) (2020). Solomon Islands Performance Assessment Framework Report 2009-2011 [Dataset]. https://pacificdata.org/data/dataset/activity/oai-www-spc-int-34b600dd-1f00-4c09-ba29-66c043fa18bb
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 16, 2020
    Dataset provided by
    SPC Statistics for Development Division (SDD)
    Description

    Solomon Island Ministry of Education and Human Resource Development.

  20. P

    Solomon Islands Performance Assessment Report 2006-2013

    • pacificdata.org
    pdf
    Updated Feb 16, 2020
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    SPC Statistics for Development Division (SDD) (2020). Solomon Islands Performance Assessment Report 2006-2013 [Dataset]. https://pacificdata.org/data/dataset/activity/oai-www-spc-int-fa36b6ed-1634-4129-843a-149fdd6afb20
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 16, 2020
    Dataset provided by
    SPC Statistics for Development Division (SDD)
    Description

    Solomon Island Ministry of Education and Human Resource Development.

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Share of human resources managers in the U.S. 2020-2023, by gender [Dataset]. https://www.statista.com/statistics/1088059/share-human-resources-managers-united-states-gender/
Organization logo

Share of human resources managers in the U.S. 2020-2023, by gender

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 21, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

In 2023, almost 24 percent of human resources managers in the United States were men. In 2022, there were approximately 167,000 human resources managers in the United States.

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