100+ datasets found
  1. Gen Z's leading factors for career success U.S. 2023

    • statista.com
    Updated Aug 7, 2024
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    Statista (2024). Gen Z's leading factors for career success U.S. 2023 [Dataset]. https://www.statista.com/statistics/1068602/leading-factors-when-choosing-job-millennials-generation-z-us/
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    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 5, 2023 - Dec 31, 2023
    Area covered
    United States
    Description

    In 2023, 78 percent of Generation Z pursuing a bachelor's degree in the United States said that having a sustainable work-life balance was an essential factor for career success. 73 percent also agreed that doing work that they are passionate about was essential for career success.

  2. Career and Technical Education Programs in Public School Districts, 2016-17

    • catalog.data.gov
    Updated Aug 13, 2023
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    National Center for Education Statistics (NCES) (2023). Career and Technical Education Programs in Public School Districts, 2016-17 [Dataset]. https://catalog.data.gov/dataset/career-and-technical-education-programs-in-public-school-districts-2016-17-4a52a
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    Dataset updated
    Aug 13, 2023
    Dataset provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Description

    Career and Technical Education Programs in Public School Districts, 2016-17 (FRSS 108) is a data collection that is part of the Fast Response Survey System (FRSS) program; program data are available since 1998-99 at . FRSS 108 (https://nces.ed.gov/surveys/frss/index.asp) is a cross-sectional data collection that provides nationally representative data on career and technical education (CTE) programs. Public local education agencies (LEAs) instructing either grades 11 or 12 in the 50 United States and the District of Columbia were sampled. The study was conducted using mailed questionnaires that could be completed on paper or online. The data collection's response rate was 86 percent. Key statistics produced from FRSS 108 include data on the entities that provide the CTE programs, the locations at which the CTE programs are offered, work-based learning activities and employer involvement in CTE programs, barriers to the district offering CTE programs, barriers to student participation in CTE programs, and the extent to which various factors influence the district's decisions on whether to add or phase out CTE programs.

  3. Number of employees worldwide 1991-2025

    • statista.com
    Updated Jan 29, 2025
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    Statista (2025). Number of employees worldwide 1991-2025 [Dataset]. https://www.statista.com/statistics/1258612/global-employment-figures/
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    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In 2025, there were estimated to be approximately 3.6 billion people employed worldwide, compared to 2.23 billion people in 1991 - an increase of around 1.4 billion people. There was a noticeable fall in global employment between 2019 and 2020, when the number of employed people fell from due to the sudden economic shock caused by the COVID-19 pandemic. Formal vs. Informal employment globally Worldwide, there is a large gap between the informally and formally employed. Most informally employed workers reside in the Global South, especially Africa and Southeast Asia. Moreover, men are slightly more likely to be informally employed than women. The majority of informal work, nearly 90 percent, is within the agricultural sector, with domestic work and construction following behind. Women’s employment As the number of employees has risen globally, so has the number of employed women. Overall, care roles such as nursing and midwifery have the highest shares of female employees globally. Moreover, while the gender pay gap has shrunk over time, it still exists. As of 2024, the uncontrolled gender pay gap was 0.83, meaning women made, on average, 83 cents per every dollar earned by men.

  4. Job Postings Dataset for Labour Market Research and Insights

    • datarade.ai
    Updated Sep 20, 2023
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    Oxylabs (2023). Job Postings Dataset for Labour Market Research and Insights [Dataset]. https://datarade.ai/data-products/job-postings-dataset-for-labour-market-research-and-insights-oxylabs
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    .json, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset authored and provided by
    Oxylabs
    Area covered
    British Indian Ocean Territory, Kyrgyzstan, Zambia, Switzerland, Sierra Leone, Anguilla, Jamaica, Togo, Tajikistan, Luxembourg
    Description

    Introducing Job Posting Datasets: Uncover labor market insights!

    Elevate your recruitment strategies, forecast future labor industry trends, and unearth investment opportunities with Job Posting Datasets.

    Job Posting Datasets Source:

    1. Indeed: Access datasets from Indeed, a leading employment website known for its comprehensive job listings.

    2. Glassdoor: Receive ready-to-use employee reviews, salary ranges, and job openings from Glassdoor.

    3. StackShare: Access StackShare datasets to make data-driven technology decisions.

    Job Posting Datasets provide meticulously acquired and parsed data, freeing you to focus on analysis. You'll receive clean, structured, ready-to-use job posting data, including job titles, company names, seniority levels, industries, locations, salaries, and employment types.

    Choose your preferred dataset delivery options for convenience:

    Receive datasets in various formats, including CSV, JSON, and more. Opt for storage solutions such as AWS S3, Google Cloud Storage, and more. Customize data delivery frequencies, whether one-time or per your agreed schedule.

    Why Choose Oxylabs Job Posting Datasets:

    1. Fresh and accurate data: Access clean and structured job posting datasets collected by our seasoned web scraping professionals, enabling you to dive into analysis.

    2. Time and resource savings: Focus on data analysis and your core business objectives while we efficiently handle the data extraction process cost-effectively.

    3. Customized solutions: Tailor our approach to your business needs, ensuring your goals are met.

    4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is a founding member of the Ethical Web Data Collection Initiative, aligning with GDPR and CCPA best practices.

    Pricing Options:

    Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

    Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

    Experience a seamless journey with Oxylabs:

    • Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
    • Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
    • Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
    • Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

    Effortlessly access fresh job posting data with Oxylabs Job Posting Datasets.

  5. d

    Current Employment Statistics (CES), Annual Average

    • catalog.data.gov
    Updated Nov 27, 2024
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    California Employment Development Department (2024). Current Employment Statistics (CES), Annual Average [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-ces-annual-average-1990-2019
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Employment Development Department
    Description

    This dataset contains annual average CES data for California statewide and areas from 1990 - 2023. The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States. CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

  6. F

    Infra-Annual Labor Statistics: Employment Total: From 15 to 64 Years for...

    • fred.stlouisfed.org
    json
    Updated Mar 17, 2025
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    (2025). Infra-Annual Labor Statistics: Employment Total: From 15 to 64 Years for United States [Dataset]. https://fred.stlouisfed.org/series/LFEM64TTUSQ647S
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    jsonAvailable download formats
    Dataset updated
    Mar 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Employment Total: From 15 to 64 Years for United States (LFEM64TTUSQ647S) from Q1 1970 to Q4 2024 about 15 to 64 years, employment, and USA.

  7. m

    2025 Green Card Report for Statistics

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Statistics [Dataset]. https://www.myvisajobs.com/reports/green-card/major/statistics/
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    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Major, Salary, Petitions Filed
    Description

    A dataset that explores Green Card sponsorship trends, salary data, and employer insights for statistics in the U.S.

  8. d

    Department of Labor, Office of Research (Current Employment Statistics NSA...

    • catalog.data.gov
    • data.ct.gov
    • +3more
    Updated Aug 9, 2024
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    data.ct.gov (2024). Department of Labor, Office of Research (Current Employment Statistics NSA 1990 - Current) [Dataset]. https://catalog.data.gov/dataset/department-of-labor-office-of-research-current-employment-statistics-nsa-1990-current
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    Dataset updated
    Aug 9, 2024
    Dataset provided by
    data.ct.gov
    Description

    Historical Employment Statistics 1990 - current. The Current Employment Statistics (CES) more information program provides the most current estimates of nonfarm employment, hours, and earnings data by industry (place of work) for the nation as a whole, all states, and most major metropolitan areas. The CES survey is a federal-state cooperative endeavor in which states develop state and sub-state data using concepts, definitions, and technical procedures prescribed by the Bureau of Labor Statistics (BLS). Estimates produced by the CES program include both full- and part-time jobs. Excluded are self-employment, as well as agricultural and domestic positions. In Connecticut, more than 4,000 employers are surveyed each month to determine the number of the jobs in the State. For more information please visit us at http://www1.ctdol.state.ct.us/lmi/ces/default.asp.

  9. U

    United States Employment: NF: IF: PI: NP: Book

    • ceicdata.com
    Updated Mar 25, 2025
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    CEICdata.com (2025). United States Employment: NF: IF: PI: NP: Book [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm-payroll
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    Dataset updated
    Mar 25, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Variables measured
    Employment
    Description

    Employment: NF: IF: PI: NP: Book data was reported at 56.100 Person th in Jan 2025. This records a decrease from the previous number of 56.500 Person th for Dec 2024. Employment: NF: IF: PI: NP: Book data is updated monthly, averaging 80.700 Person th from Jan 1990 (Median) to Jan 2025, with 421 observations. The data reached an all-time high of 91.600 Person th in Jun 1997 and a record low of 52.500 Person th in Feb 2021. Employment: NF: IF: PI: NP: Book 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.G053: Current Employment Statistics Survey: Employment: Non Farm Payroll.

  10. Number of available data science jobs India 2019-2022, by sector

    • statista.com
    Updated Mar 13, 2024
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    Statista (2024). Number of available data science jobs India 2019-2022, by sector [Dataset]. https://www.statista.com/statistics/1320179/india-number-of-available-data-science-jobs-by-sector/
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    Dataset updated
    Mar 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2022, over 18 thousand data science job positions were available in the BFSI sector in India. An increase in the availability of data science jobs was seen over the years from 2019. E-commerce and internet followed suite with roughly 13 thousand jobs during the same time period.

  11. F

    Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years...

    • fred.stlouisfed.org
    json
    Updated Mar 17, 2025
    + more versions
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    (2025). Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States [Dataset]. https://fred.stlouisfed.org/series/LREM25FEUSQ156S
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    jsonAvailable download formats
    Dataset updated
    Mar 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Infra-Annual Labor Statistics: Employment Rate Female: From 25 to 54 Years for United States (LREM25FEUSQ156S) from Q1 1977 to Q4 2024 about 25 to 54 years, employment-population ratio, females, employment, population, rate, and USA.

  12. d

    Current Employment Statistics: Beginning 1990

    • catalog.data.gov
    • data.ny.gov
    • +2more
    Updated Jan 24, 2025
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    data.ny.gov (2025). Current Employment Statistics: Beginning 1990 [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-beginning-1990
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    data.ny.gov
    Description

    Current Employment by Industry (CES) data reflect jobs by "place of work." It does not include the self-employed, unpaid family workers, and private household employees. Jobs located in the county or the metropolitan area that pay wages and salaries are counted although workers may live outside the area. Jobs are counted regardless of the number of hours worked. Individuals who hold more than one job (i.e. multiple job holders) may be counted more than once. The employment figure is an estimate of the number of jobs in the area (regardless of the place of residence of the workers) rather than a count of jobs held by the residents of the area.

  13. U.S. employment rate 2000-2023, by age

    • statista.com
    • flwrdeptvarieties.store
    Updated Jul 5, 2024
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    Statista (2024). U.S. employment rate 2000-2023, by age [Dataset]. https://www.statista.com/statistics/217899/us-employment-rate-by-age/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2022, the employment rate of the workforce of 55 years and older increased to 41.1 percent. Employment rate among young adults (age 16-24) was at 41.5 percent in 2022. For monthly updates on employment in the United States visit the annual national employment rate here.

  14. Annual Survey of Governments, 1990: Employment Statistics

    • icpsr.umich.edu
    ascii
    Updated Oct 31, 1992
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    United States. Bureau of the Census (1992). Annual Survey of Governments, 1990: Employment Statistics [Dataset]. http://doi.org/10.3886/ICPSR09794.v1
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    asciiAvailable download formats
    Dataset updated
    Oct 31, 1992
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/9794/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/9794/terms

    Time period covered
    Oct 1990
    Area covered
    United States
    Description

    Federal, state, and local government employment data are provided in this file. Full- and part-time employment, full-time equivalency, and payroll statistics are included. Data are supplied by type of government (federal, state, county, city, township, special district, and school district) and by function. Governmental functions include education (elementary, secondary, and higher education), police and fire protection, financial administration, judicial and legal functions, highways, solid waste management and sewage, libraries, air and water transportation and terminals, state liquor stores, social insurance administration, housing and community development, utilities, public welfare, parks and recreation, health care, transit, and natural resources.

  15. Employment; economic activity, sex, National Accounts

    • cbs.nl
    • staging.dexes.eu
    • +1more
    xml
    Updated Sep 23, 2024
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    Centraal Bureau voor de Statistiek (2024). Employment; economic activity, sex, National Accounts [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85918ENG
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    xmlAvailable download formats
    Dataset updated
    Sep 23, 2024
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    1995 - 2023
    Area covered
    The Netherlands
    Description

    This table provides annual data about the employment of employees and self-employed persons. It contains annual data on employed persons, jobs, full-time equivalent (fte) and hours worked.

    Data available from: 1995

    Status of the figures: Data from 1995 up to and including 2021 are final. Data of 2022 and further are provisional.

    Changes as of June 24th 2024: This is a new table. Statistics Netherlands has carried out a revision of the national accounts. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. This table contains revised data. For further information see section 3.

    When will new figures be published? Provisional data are published 6 months after the end of the reporting year. Final data are released 30 months after the end of the reporting year.

  16. Data from: Quarterly Census of Employment and Wages

    • icpsr.umich.edu
    Updated Oct 22, 2015
    + more versions
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    United States Department of Labor. Bureau of Labor Statistics (2015). Quarterly Census of Employment and Wages [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36312
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    Dataset updated
    Oct 22, 2015
    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/36312/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36312/terms

    Area covered
    United States
    Description

    The Quarterly Census of Employment and Wages (QCEW) program is a cooperative program involving the Bureau of Labor Statistics (BLS) of the United States Department of Labor and the State Employment Security Agencies (SESAs). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by State unemployment insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Publicly available data files include information on the number of establishments, monthly employment, and quarterly wages, by NAICS industry, by county, by ownership sector, for the entire United States. These data are aggregated to annual levels, to higher industry levels (NAICS industry groups, sectors, and supersectors), and to higher geographic levels (national, State, and Metropolitan Statistical Area (MSA)). To download and analyze QCEW data, users can begin on the QCEW Databases page. Downloadable data are available in formats such as text and CSV. Data for the QCEW program that are classified using the North American Industry Classification System (NAICS) are available from 1990 forward, and on a more limited basis from 1975 to 1989. These data provide employment and wage information for arts-related NAICS industries, such as: Arts, entertainment, and recreation (NAICS Code 71) Performing arts and spectator sports Museums, historical sites, zoos, and parks Amusements, gambling, and recreation Professional, scientific, and technical services (NAICS Code 54) Architectural services Graphic design services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, book and music stores Book, periodical, and music stores Art dealers For years 1975-2000, data for the QCEW program provide employment and wage information for arts-related industries are based on the Standard Industrial Classification (SIC) system. These arts-related SIC industries include the following: Book stores (SIC 5942) Commercial photography (SIC Code 7335) Commercial art and graphic design (SIC Code 7336) Museums, Botanical, Zoological Gardens (SIC Code 84) Dance studios, schools, and halls (SIC Code 7911) Theatrical producers and services (SIC Code 7922) Sports clubs, managers, & promoters (SIC Code 7941) Motion Picture Services (SIC Code 78) The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit NAICS industry at the national, state, and county levels. At the national level, the QCEW program provides employment and wage data for almost every NAICS industry. At the State and area level, the QCEW program provides employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. Employment data under the QCEW program represent the number of covered workers who worked during, or received pay for, the pay period including the 12th of the month. Excluded are members of the armed forces, the self-employed, proprietors, domestic workers, unpaid family workers, and railroad workers covered by the railroad unemployment insurance system. Wages represent total compensation paid during the calendar quarter, regardless of when services were performed. Included in wages are pay for vacation and other paid leave, bonuses, stock options, tips, the cash value of meals and lodging, and in some States, contributions to deferred compensation plans (such as 401(k) plans). The QCEW program does provide partial information on agricultural industries and employees in private households. Data from the QCEW program serve as an important source for many BLS programs. The QCEW data are used as the benchmark source for employment by the Current Employment Statistics program and the Occupational Employment Statistics program. The UI administrative records collected under the QCEW program serve as a sampling frame for BLS establishment surveys. In addition, data from the QCEW program serve as a source to other Federal and State programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses QCEW data as the base for developing the wage and salary component of personal income. The Employment and Training Administration (ETA) of the Department of Labor and the SESAs use QCEW data to administer the employment security program. The QCEW data accurately reflect the ex

  17. Labour statistics consistent with the System of National Accounts (SNA), by...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Feb 10, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Labour statistics consistent with the System of National Accounts (SNA), by job category and industry [Dataset]. http://doi.org/10.25318/3610048901-eng
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    Dataset updated
    Feb 10, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Labour statistics by job category, for Canada, the provinces and territories, annual.

  18. Job vacancies, payroll employees, and job vacancy rate, by economic regions,...

    • www150.statcan.gc.ca
    • gimi9.com
    • +3more
    Updated Mar 18, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Job vacancies, payroll employees, and job vacancy rate, by economic regions, quarterly, adjusted for seasonality [Dataset]. http://doi.org/10.25318/1410039801-eng
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    Dataset updated
    Mar 18, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of job vacancies, payroll employees, and job vacancy rate, by economic regions, last 5 quarters.

  19. F

    Employment Level - Native Born

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Employment Level - Native Born [Dataset]. https://fred.stlouisfed.org/series/LNU02073413
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 7, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employment Level - Native Born (LNU02073413) from Jan 2007 to Feb 2025 about native born, 16 years +, household survey, employment, and USA.

  20. F

    Multiple Jobholders as a Percent of Employed

    • fred.stlouisfed.org
    json
    Updated Mar 7, 2025
    + more versions
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    (2025). Multiple Jobholders as a Percent of Employed [Dataset]. https://fred.stlouisfed.org/series/LNS12026620
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 7, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Multiple Jobholders as a Percent of Employed (LNS12026620) from Jan 1994 to Feb 2025 about multiple jobholders, 16 years +, percent, household survey, employment, and USA.

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Statista (2024). Gen Z's leading factors for career success U.S. 2023 [Dataset]. https://www.statista.com/statistics/1068602/leading-factors-when-choosing-job-millennials-generation-z-us/
Organization logo

Gen Z's leading factors for career success U.S. 2023

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 7, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Dec 5, 2023 - Dec 31, 2023
Area covered
United States
Description

In 2023, 78 percent of Generation Z pursuing a bachelor's degree in the United States said that having a sustainable work-life balance was an essential factor for career success. 73 percent also agreed that doing work that they are passionate about was essential for career success.

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