36 datasets found
  1. May 2017 Current Population Survey: Contingent Worker Supplement

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). May 2017 Current Population Survey: Contingent Worker Supplement [Dataset]. https://catalog.data.gov/dataset/may-2017-current-population-survey-contingent-worker-supplement
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    To obtain information about the "contingent" workforce. "Contingent" work is temporary work that a person does without expecting continuing employment from the particular employer (or source of employment) for whom they work.

  2. Distribution of contingent workers in the U.S. by age and gender 2017

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Distribution of contingent workers in the U.S. by age and gender 2017 [Dataset]. https://www.statista.com/statistics/918793/gig-economy-distribution-contingent-workers-age-gender/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2017
    Area covered
    United States
    Description

    This statistic illustrates the distribution of contingent workers in the United States in 2017, by age and gender. In that year, 15 percent of contingent workers age 25- to 34-years-old were male, compared to 9.6 percent of female contingent workers.

  3. Median weekly income for full-time contingent workers in the U.S. by gender...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Median weekly income for full-time contingent workers in the U.S. by gender 2017 [Dataset]. https://www.statista.com/statistics/918834/us-gig-economy-median-weekly-income-full-time-contingent-workers-gender/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2017
    Area covered
    United States
    Description

    This statistic depicts the median weekly income for full-time contingent workers in the United States in 2017, by gender. In that year, male full-time contingent workers had a median weekly income of *** U.S. dollars, compared to a median weekly income of *** U.S. dollars for female full-time contingent workers.

  4. Current Population Survey, May 2017: Contingent Worker Supplement

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Apr 29, 2021
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    Inter-university Consortium for Political and Social Research [distributor] (2021). Current Population Survey, May 2017: Contingent Worker Supplement [Dataset]. http://doi.org/10.3886/ICPSR37191.v2
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    r, ascii, delimited, stata, sas, spssAvailable download formats
    Dataset updated
    Apr 29, 2021
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/37191/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/37191/terms

    Time period covered
    May 2017
    Area covered
    United States
    Description

    NADAC data users should note that this data collection contains data on arts-related occupations. Please read the summary below for details. This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey on the topic of Contingent Employment in the United States, which was administered as a supplement to the February 2017 CPS. In addition to administering the basic CPS, interviewers asked the supplementary questions in three-fourths of the sample households. The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States, for the week prior to the survey. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self- employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The Contingent Work Supplement questions were asked of all applicable persons age 16 years and older. The supplement data is comprised of information on contingent or temporary work that a person did without expecting continuing employment from the particular employer they happened to be working for. Also included is information about each worker's expectation of continuing employment, satisfaction with their current employment arrangement, current job history, transition into the current employment arrangement, search for other employment, employee benefits, and earnings. The occupation and industry information variables in this data collection can help the data users identify individuals who worked in arts and culture related fields. The occupations are listed in categories like "Architecture and engineering occupations" and "Arts, Design, Entertainment, Sports, and Media Occupations," which include professions such as artists, architects designers, actors, musicians, and writers. Industries related to the arts and culture are in the "Arts, Entertainment, and Recreation" category. The supplement questions were not asked of unpaid family workers and persons not looking for work (this includes persons not in the labor force and unemployed persons on layoff who are not looking for work). Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income.

  5. Contingent and Alternative Employment Arrangements, July 2023

    • icpsr.umich.edu
    Updated May 16, 2025
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    United States Department of Labor. Bureau of Labor Statistics (2025). Contingent and Alternative Employment Arrangements, July 2023 [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/39410
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    Dataset updated
    May 16, 2025
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Labor. Bureau of Labor Statistics
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/39410/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/39410/terms

    Description

    The Contingent and Alternative Employment Arrangements supplement to the Current Population Survey (CPS) is a monthly sample survey involving about 60,000 households that provides valuable data on (un)employment in the United States. The Contingent and Alternative Employment Arrangements supplement focuses on individuals whose primary jobs are temporary or expected to last only a limited period of time as well as those with alternative employment arrangements (i.e., working as independent contractors, as on-call workers, through temporary help agencies, or through contract firms). Questions were asked about the two types of employment, contingent and alternative, separately as some individuals fell into both categories, some in one but not the other, and some in neither. This data collection includes variables related to occupation and industry, enabling data users to identify individuals working in arts- and culture-related fields. These occupations fall under categories such as leisure, hospitality, and agriculture, as well as related industries like arts, entertainment, recreation, design, sports, and media. This encompasses professions such as artists, architects, designers, actors, musicians, and writers. Jobs in some of these occupations are especially likely to be categorized as contingent or alternative, so this information is necessary to fully understand the employment experiences of those in art- and culture-related fields. Before July 2023, data on contingent and alternative employment arrangements were collected periodically from February 1995 to May 2017. The concepts and definitions used in the supplement are detailed in the Technical Note in the BLS news release. For more information, see the FAQs on contingent and alternative employment arrangements.

  6. Distribution of contingent workers in the U.S. by education and employment...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Distribution of contingent workers in the U.S. by education and employment 2017 [Dataset]. https://www.statista.com/statistics/918814/gig-economy-distribution-contingent-workers-education-employment-us/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2017
    Area covered
    United States
    Description

    This statistic illustrates the distribution of contingent workers in the United States in 2017, by education level and employment. In that year, **** percent of independent contractors had a Bachelor's degree or higher, compared to *** percent of independent contractors who had less than a high school diploma.

  7. D

    San Francisco Employee Compensation, Fiscal years 2013 and 2017

    • data.sfgov.org
    application/rdfxml +5
    Updated Jul 7, 2025
    + more versions
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    SF Controller's Office (2025). San Francisco Employee Compensation, Fiscal years 2013 and 2017 [Dataset]. https://data.sfgov.org/City-Management-and-Ethics/San-Francisco-Employee-Compensation-Fiscal-years-2/35vr-y3kw
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    application/rssxml, application/rdfxml, xml, csv, tsv, jsonAvailable download formats
    Dataset updated
    Jul 7, 2025
    Authors
    SF Controller's Office
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    San Francisco
    Description

    The San Francisco Controller's Office maintains a database of the salary and benefits paid to City employees since fiscal year 2013. This data is summarized and presented on the Employee Compensation report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format. New data is added on a bi-annual basis when available for each fiscal and calendar year.

  8. Market share of the global staffing industry by country 2017

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Market share of the global staffing industry by country 2017 [Dataset]. https://www.statista.com/statistics/495154/staffing-industry-market-share-country/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Worldwide
    Description

    This statistic shows the market share of the global staffing industry in 2017, by country. In that year, the global staffing industry generated revenue of *** billion U.S. dollars, ** percent of this revenue was generated in the United States.

  9. United States PPI Weights: Employment Services: Staffing: Co-employment

    • ceicdata.com
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    CEICdata.com, United States PPI Weights: Employment Services: Staffing: Co-employment [Dataset]. https://www.ceicdata.com/en/united-states/producer-price-index-by-whereverprovided-services-and-construction-weights/ppi-weights-employment-services-staffing-coemployment
    Explore at:
    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
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    United States
    Description

    United States PPI Weights: Employment Services: Staffing: Co-employment data was reported at 42.900 % in 2024. This records an increase from the previous number of 42.427 % for 2023. United States PPI Weights: Employment Services: Staffing: Co-employment data is updated yearly, averaging 41.675 % from Dec 2009 (Median) to 2024, with 16 observations. The data reached an all-time high of 45.353 % in 2017 and a record low of 39.861 % in 2014. United States PPI Weights: Employment Services: Staffing: Co-employment 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.I070: Producer Price Index: by Wherever-Provided Services and Construction: Weights.

  10. Her Majesty’s Prison and Probation Service workforce quarterly: September...

    • gov.uk
    Updated Nov 16, 2017
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    Ministry of Justice (2017). Her Majesty’s Prison and Probation Service workforce quarterly: September 2017 [Dataset]. https://www.gov.uk/government/statistics/her-majestys-prison-and-probation-service-workforce-quarterly-september-2017
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    Dataset updated
    Nov 16, 2017
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Justice
    Description

    HMPPS workforce bulletin provide statistics on staffing levels and staff inflows and outflows in England and Wales. This publication updates statistics on HMPPS staffing levels up to the end of September 2017.

    The bulletin is released by the Ministry of Justice and produced in accordance with arrangements approved by the UK Statistics Authority.

    Pre-release list

    HMPPS workforce bulletin is produced and handled by the Ministry of Justice’s (MOJ) analytical professionals and production staff. Pre-release access of up to 24 hours is granted to the following persons:

    MOJ

    Lord Chancellor and Secretary of State; Parliamentary Under Secretary of State, Minister for Prisons and Rehabilitation; Parliamentary Under Secretary of State, Youth Justice, Victims, Female Offenders and Offender Health; Permanent Secretary; Director, Prison Reform Policy; Director General, Prisons, Offender and Youth Justice Policy; Director of Prison Safety & Reform Programme; Director of Analytical Services; Chief Statistician and Deputy Director Justice Statistics Analytical Services; Deputy Director, Head of Data Science & HR Analytical Services; Deputy Director, Prison Reform Policy; Deputy Director of Recruitment and Retention; Deputy Director, Prison and Probation Analytical Services; Director of Communications; Prison Officer Recruitment – Head of Data and Insight; Press officers (x4); Private secretaries (x8); Special advisors (x2)

    HMPPS

    Chief Executive Officer; Head of CEO’s Office; Head of Executive Management Team; HR Director; Deputy Director, HR Reform; Deputy Director of HR Prisons; Deputy Director of HR Probation.

  11. o

    Diamond Health Care Staffing 300A Report 2017

    • oshafile.com
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    Diamond Health Care Staffing 300A Report 2017 [Dataset]. https://oshafile.com/filed/2017/diamond-health-care-staffing-645-kolter-drive-indiana-pa-15701
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    Variables measured
    Total Hours Worked, Workplace Fatalities, Occupational Illnesses, Other Recordable Cases, Total Recordable Cases, Days Away from Work Cases, Average Number of Employees, Total Recordable Incident Rate, Job Transfer or Restriction Cases
    Description

    Workplace safety and injury data for Diamond Health Care Staffing

  12. Labour Force Survey 2017 - Serbia

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    Updated Dec 5, 2019
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    Statistical Office of the Republic of Serbia (2019). Labour Force Survey 2017 - Serbia [Dataset]. https://datacatalog.ihsn.org/catalog/8459
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    Dataset updated
    Dec 5, 2019
    Dataset authored and provided by
    Statistical Office of the Republic of Serbiahttp://www.stat.gov.rs/
    Time period covered
    2017
    Area covered
    Serbia
    Description

    Abstract

    The Labour Force Survey is a survey that collects data on the main characteristics of labour force, which are used to estimate the total labour force in our country. It is primarily aimed at obtaining data on three basic, contingent and mutually exclusive categories of population: employed, unemployed and economically inactive persons. The data serve to monitor, measure and evaluate economic and social trends in the Republic of Serbia. The main areas that are measured are employment and unemployment, economic inactivity, as well as demographic, socio-economic, educational and other characteristics of population in each of the mentioned areas.

    Geographic coverage

    National coverage

    Analysis unit

    The unit of observation is every member of every randomly selected household, and the unit of selection is the household selected in the sample.

    Universe

    The survey covers all persons in individual, (non)institutional households on the territory of the Republic of Serbia, without the Region Kosovo and Metohija, which represent usual population.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The LFS uses a two-stage stratified cluster sampling approach. The sample of enumeration areas (cluster of households) was selected at the first stage. A sample of households was selected in each enumeration area at the second stage.

    Enumeration areas as primary sampling units are stratified according to the type of settlements (town and other) and territory at NSTJ 3 level (25 areas: Beogradska oblast, Zapadnobacka oblast, Južnobanatska oblast, Južnobacka oblast, Severnobanatska oblast, Severnobacka oblast, Srednjobanatska oblast, Sremska oblast, Zlatiborska oblast, Kolubarska oblast, Macvanska oblast, Moravicka oblast, Pomoravska oblast, Rasinska oblast, Raška oblast, Šumadijska oblast, Borska oblast, Branicevska oblast, Zajecarska oblast, Jablanicka oblast, Nišavska oblast, Pirotska oblast, Podunavska oblast, Pcinjska oblast and Toplicka oblast).

    Mode of data collection

    Face-to-face [f2f]

  13. Average lead response time of U.S. staffing firms 2017

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Average lead response time of U.S. staffing firms 2017 [Dataset]. https://www.statista.com/statistics/892940/staffing-industry-average-lead-response-time-united-states/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2017
    Area covered
    United States
    Description

    This statistic depicts the average lead response time of staffing firms in the United States in 2017. During the survey, around ** percent of staffing firms reported an average lead response time of between *** and **** minutes.

  14. North American staffing firms: number of recruiters and salespeople 2017

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). North American staffing firms: number of recruiters and salespeople 2017 [Dataset]. https://www.statista.com/statistics/793324/north-america-staffing-firms-number-of-recruiters-and-salespeople/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 16, 2016 - Jan 25, 2017
    Area covered
    Worldwide
    Description

    The statistic shows the number of recruiters and salespeople in staffing firms in North America in 2017, by desk type. During the survey, 74 percent of the respondents stated that they have between 26 and 50 recruiters and salespeople in their firm, who operate using a split-desk model.

  15. d

    NHS Vacancy Statistics (and previous NHS Vacancies Survey)

    • digital.nhs.uk
    csv, pdf, xlsm, xlsx
    Updated Jul 25, 2017
    + more versions
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    (2017). NHS Vacancy Statistics (and previous NHS Vacancies Survey) [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/nhs-vacancies-survey
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    pdf(262.7 kB), csv(47.7 MB), xlsm(239.8 kB), pdf(336.7 kB), xlsx(5.1 MB), pdf(143.3 kB)Available download formats
    Dataset updated
    Jul 25, 2017
    License

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

    Time period covered
    Feb 1, 2015 - Mar 31, 2017
    Area covered
    England
    Description

    This is the latest provisional experimental publication of NHS vacancy statistics created from administrative data related to published vacancy adverts obtained from NHS Jobs, the main recruitment website for the NHS. The statistics referred to in this document and the accompanying tables are exploratory and provide information on the administrative data available from NHS Jobs as much as on the recruitment of staff. This publication provides figures which are an insight to recruitment in the NHS but which should be treated with caution, though the expanded time series now allows users to consider relative changes over time. We welcome feedback on the methodology and tables within this publication. Please email us with your comments and suggestions, clearly stating NHS Workforce Vacancy Statistics as the subject heading, via enquiries@nhsdigital.nhs.uk or 0300 303 5678

  16. Global staffing firms: recruiting structure by type of business 2017

    • statista.com
    Updated Jul 7, 2025
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    Global staffing firms: recruiting structure by type of business 2017 [Dataset]. https://www.statista.com/statistics/793319/north-american-staffing-firms-recruiting-structure-by-type-of-business/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 16, 2016 - Jan 25, 2017
    Area covered
    United States, Canada
    Description

    The statistic shows the recruiting structure of staffing firms in North America in 2017, by type of business. During the survey, ** percent of the respondents stated that their firm runs a split-desk model for contract hires.

  17. Multimodal Safety and Security Programs Oversight Staffing Levels, by...

    • search.datacite.org
    • www150.statcan.gc.ca
    • +3more
    Updated 2019
    + more versions
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    Statistics Canada (2019). Multimodal Safety and Security Programs Oversight Staffing Levels, by federal government fiscal year quarter, Transport Canada [Dataset]. http://doi.org/10.25318/2310027201-eng
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    Dataset updated
    2019
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Government of Canada
    Authors
    Statistics Canada
    Description

    As part of the Transport Canada Multimodal Safety and Security Programs Oversight Delivery Indicators, this table contains, starting with the first quarter of the 2017-2018 federal government fiscal year, the number of employees delivering oversight, by programs.

  18. Most important communication channels for U.S. staffing firms 2017

    • statista.com
    Updated Jul 6, 2022
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    Statista (2022). Most important communication channels for U.S. staffing firms 2017 [Dataset]. https://www.statista.com/statistics/893029/staffing-industry-most-important-communication-channels-united-states/
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    Dataset updated
    Jul 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2017
    Area covered
    United States
    Description

    This statistic depicts the most important communication channels for staffing firms in the United States in 2017, ranked by a score from one to five. During the survey, the most important communication channel was phone, with an average score of 3.77 out of five.

  19. Flexible staffing market breakdown in China 2017, by industry

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Flexible staffing market breakdown in China 2017, by industry [Dataset]. https://www.statista.com/statistics/1274394/china-flexible-staffing-market-breakdown-by-industry/
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    China
    Description

    In 2017, the largest share of the flexible workforce in China was working in the internet industry, accounting for roughly **** percent of the workforce. Other industries with a large demand for dispatched or flexible workers were manufacturing, and wholesale & retail.

  20. Familiarity with online staffing platforms Americas 2012-2017

    • statista.com
    Updated Jul 6, 2022
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    Statista (2022). Familiarity with online staffing platforms Americas 2012-2017 [Dataset]. https://www.statista.com/statistics/941638/respondents-familiar-with-online-staffing-platforms-americas/
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    Dataset updated
    Jul 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Americas
    Description

    This statistic depicts the share of respondents familiar with online staffing platforms in the Americas from 2012 to 2017. During the survey in 2017, 65 percent of the respondents stated that they are familiar with online staffing platforms.

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U.S. Census Bureau (2023). May 2017 Current Population Survey: Contingent Worker Supplement [Dataset]. https://catalog.data.gov/dataset/may-2017-current-population-survey-contingent-worker-supplement
Organization logo

May 2017 Current Population Survey: Contingent Worker Supplement

Explore at:
Dataset updated
Jul 19, 2023
Dataset provided by
United States Census Bureauhttp://census.gov/
Description

To obtain information about the "contingent" workforce. "Contingent" work is temporary work that a person does without expecting continuing employment from the particular employer (or source of employment) for whom they work.

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