100+ datasets found
  1. D

    Data from: Job Growth

    • catalog.dvrpc.org
    csv
    Updated Mar 17, 2025
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    DVRPC (2025). Job Growth [Dataset]. https://catalog.dvrpc.org/dataset/job-growth
    Explore at:
    csv(188567), csv(204458), csv(101043), csv(94938), csv(78623), csv(5828), csv(158079)Available download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    DVRPC
    License

    https://catalog.dvrpc.org/dvrpc_data_license.htmlhttps://catalog.dvrpc.org/dvrpc_data_license.html

    Description

    The U.S. Bureau of Economic Analysis’ Total Full-Time and Part-Time Employment data provides one of the most comprehensive, publicly available accountings of average annual employment. Beyond full- and part-time employment types, it includes farm employment and other sectors that aren’t always included in other sources, such as Public Administration (with more detail of federal than state and local employment in this category). It also includes and distinguishes both Wage and Salary employees from Proprietors who own their own unincorporated businesses and handle taxation chiefly as personal income. Proprietors tend to be single-person or small businesses and can include construction or repair workers, babysitters, ride-share drivers, artists, local grocers, housekeepers, various freelancers and consultants, and some attorneys and doctors.

  2. E

    Job Growth Statistics By Region, Sector, Trends, Demographic, Pandemic...

    • enterpriseappstoday.com
    Updated Jun 26, 2023
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    EnterpriseAppsToday (2023). Job Growth Statistics By Region, Sector, Trends, Demographic, Pandemic Impact and Economy [Dataset]. https://www.enterpriseappstoday.com/stats/job-growth-statistics.html
    Explore at:
    Dataset updated
    Jun 26, 2023
    Dataset authored and provided by
    EnterpriseAppsToday
    License

    https://www.enterpriseappstoday.com/privacy-policyhttps://www.enterpriseappstoday.com/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    Job Growth Statistics: Statistics on job growth are essential in understanding the state and trajectory of an economy because they offer insight into the shifting dynamics of labor markets. By measuring net job addition or subtraction over a certain timeframe, employment growth statistics allow policymakers, companies, and individuals to make well-informed decisions regarding workforce planning, investment decisions, or career choices. Statistics on job growth provide a key measure of economic development as they show whether an economy is expanding, contracting, or remaining stable. Positive employment growth numbers often signal healthy economies with increased consumer spending and company confidence. Conversely, negative or stagnant job growth indicates a slowdown or recession. Furthermore, statistics on employment growth may also be used to highlight developing markets and professions for policymakers as well as job seekers in finding prospective development areas. As such, employment data provides an essential means of measuring an economy's current state and future direction, as well as helping shape policies and initiatives within it. Editor’s Choice From 2020-2030; job growth in the US is anticipated to be 5.3%. Nurse practitioners are predicted to experience the highest job growth; between 2021-2031 at 45.7%; 2019 alone saw sectors producing goods create 188,000 new jobs. Leisure and hospitality job creation decreased by 47% year-on-year between April 2020 and March 2021. President Clinton created 19 million new employment opportunities between June and July of 2022 and 528,000 nonfarm payroll employees were gained; yet by April 2020 20.5 million jobs had been lost from the economy as a whole. By 2031, it is projected that employment opportunities across the nation will reach 166.5 million; over that same timeframe childcare service workers have seen their ranks decline by 336,000. Since the COVID-19 outbreak, healthcare employment levels have suffered a dramatic decrease. By some accounts, over one and a half million employees may have left healthcare jobs since 2016. (Source: zippia.com)

  3. U.S. job growth 2021, by state

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. job growth 2021, by state [Dataset]. https://www.statista.com/statistics/312639/job-growth-in-the-united-states-by-state/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2021, Nevada had the strongest rate of job growth of any state. Jobs grew by 6.8 percent in Nevada, with Idaho, Utah, Florida, and Montana rounding out the top five.

  4. Leading job-growth sectors in the U.S. 2018-2028

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Leading job-growth sectors in the U.S. 2018-2028 [Dataset]. https://www.statista.com/statistics/934568/us-leading-job-growth-sectors/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    This statistic shows the leading job-growth sectors in the United States between 2018 and 2028, ranked by the number of jobs forecast to be created over this period. It is estimated that around ***** million new jobs will be created in the health care and social assistance sector during this time period.

  5. m

    Latest Jobs in California - June 2024

    • data.mendeley.com
    Updated Jun 26, 2024
    + more versions
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    Eugene Smirnov (2024). Latest Jobs in California - June 2024 [Dataset]. http://doi.org/10.17632/8bfyd3cjb2.1
    Explore at:
    Dataset updated
    Jun 26, 2024
    Authors
    Eugene Smirnov
    License

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

    Area covered
    California
    Description

    This dataset provides a comprehensive view of the job market in California, highlighting companies and cities with the highest number of job opportunities. Created by JoPilot, it contains valuable information for anyone interested in the employment landscape across different industries and regions. It includes key information such as:

    • Company name • City • State • Number of active jobs

    For job seekers, employers, and researchers, this resource can be particularly useful in several ways:

    1. Identifying hot job markets: The data highlights cities with the highest number of job openings, helping job seekers focus their search on areas with more opportunities.
    2. Company targeting: By showing which companies have the most active job listings, the dataset allows job seekers to target their applications to organizations that are actively hiring.
    3. Industry trends: The information can reveal which industries or sectors are experiencing growth in California, guiding career decisions and educational pursuits.
    4. Regional comparisons: Users can compare job markets across different California cities and regions, which is valuable for those considering relocation or analyzing economic trends.
    5. Skill alignment: While the dataset doesn't directly provide skill requirements, it can be used alongside other resources to align job seekers' skills with in-demand positions.

    For a more comprehensive job search strategy, consider complementing this dataset with additional resources such as the California Labor Market Information tools, which offer detailed insights into wages, employment projections, and industry-specific data.

  6. t

    5.02 New Jobs Created (summary)

    • data.tempe.gov
    • open.tempe.gov
    • +8more
    Updated Nov 26, 2019
    + more versions
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    City of Tempe (2019). 5.02 New Jobs Created (summary) [Dataset]. https://data.tempe.gov/datasets/5-02-new-jobs-created-summary/api
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    Dataset updated
    Nov 26, 2019
    Dataset authored and provided by
    City of Tempe
    License

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

    Description

    Tempe is among Arizona's most educated cities, lending to a creative, smart atmosphere. With more than a dozen colleges, trade schools, and universities, about 40 percent of our residents over the age of 25 have Bachelor's degrees or higher. Having such an educated and accessible workforce is a driving factor in attracting and growing jobs for residents in the region.The City of Tempe is a member of the Greater Phoenix Economic Council (GPEC), and with the membership, staff tracks collaborative efforts to recruit business prospects and locations. The Greater Phoenix Economic Council (GPEC) is a performance-driven, public-private partnership. GPEC partners with the City of Tempe, Maricopa County, 22 other communities, and more than 170 private-sector investors to promote the region’s competitive position and attract quality jobs that enable strategic economic growth and provide increased tax revenue for Tempe. This dataset provides the target and actual job creation numbers for the City of Tempe and the Greater Phoenix Economic Council (GPEC). The job creation target for Tempe is calculated by multiplying GPEC's target by twice Tempe's proportion of the population. This page provides data for the New Jobs Created performance measure.The performance measure dashboard is available at 5.02 New Jobs Created. Additional Information Source:Contact: Madalaine McConvilleContact Phone: 480-350-2927Data Source Type: Excel filesPreparation Method: Extracted from GPEC monthly and annual reports and proprietary Excel filesPublish Frequency: AnnuallyPublish Method: ManualData Dictionary

  7. Tables and Figures for: Jobs For Growth

    • data.iadb.org
    xlsx
    Updated Apr 10, 2025
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    IDB Datasets (2025). Tables and Figures for: Jobs For Growth [Dataset]. http://doi.org/10.60966/q3fmfn1r
    Explore at:
    xlsx(334025), xlsx(764570), xlsx(585322), xlsx(3921584), xlsx(415343), xlsx(118404)Available download formats
    Dataset updated
    Apr 10, 2025
    Dataset provided by
    Inter-American Development Bankhttp://www.iadb.org/
    License

    Attribution-NonCommercial-NoDerivs 3.0 (CC BY-NC-ND 3.0)https://creativecommons.org/licenses/by-nc-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1990 - Jan 1, 2013
    Description

    Jobs are essential for the growth of individuals and countries alike. Achieving personal fulfillment is harder without a job, just as an economy as a whole cannot develop without the impetus of the labor market. These two perspectives unquestionably go hand in hand: from the individual perspective, finding a good job is a legitimate aspiration for anyone who wishes to support oneself and one's family; from the societal perspective, creating more and better jobs is essential to the achievement of lasting and equitable growth. Jobs for Growth rests on this dual vision. This book examines the performance of the region's labor market and, based on this analysis, proposes an integrated package of measures for both personal growth (through successful career paths) and economic growth (through more high-quality jobs and higher productivity). Over the past two decades, the bullish economic cycle has yielded undeniable gains for labor markets in Latin America and the Caribbean (LAC), among them lower unemployment, improved job creation, and a substantial increase in wages. However, the situation on the horizon -stagnation of the region's growth and weaknesses in the global macroeconomic outlook- have increased the urgency to find solutions to today's most pressing labor problems. This volume shows that, despite the still-low unemployment rates, the region may find itself trapped in a vicious cycle of poor-quality jobs -a phenomenon especially visible in the high percentage of informal jobs (which are defined in this publication as those without access to social security benefits) and in the high proportion of very short-lived jobs. As the title Jobs for Growth indicates, breaking this cycle will require comprehensive policies that boost productivity.

  8. F

    3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). 3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Movement: Job Stayer [Dataset]. https://fred.stlouisfed.org/series/FRBATLWGT3MMAUMHWGJMJST
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Description

    Graph and download economic data for 3-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Movement: Job Stayer (FRBATLWGT3MMAUMHWGJMJST) from Mar 1997 to Aug 2025 about growth, moving average, jobs, 3-month, average, wages, median, and USA.

  9. Top U.S. cites tech industry job growth between 2006-2016

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Top U.S. cites tech industry job growth between 2006-2016 [Dataset]. https://www.statista.com/statistics/750175/united-states-top-cites-tech-industry-job-growth/
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic shows the cities with the highest high-tech industry job growth rate in the United States between 2006 to 2016. Between 2006 and 2016, the San Francisco-Oakland-Hayward region of California has experienced a ** percent increase in high-tech industry jobs.

  10. T

    United States Employment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 15, 2020
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    TRADING ECONOMICS (2020). United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Apr 15, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1948 - Aug 31, 2025
    Area covered
    United States
    Description

    Employment Rate in the United States remained unchanged at 59.60 percent in August. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. U.S. number of jobs created by sitting president 1933-2022

    • statista.com
    Updated Jun 25, 2025
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    Statista (2025). U.S. number of jobs created by sitting president 1933-2022 [Dataset]. https://www.statista.com/statistics/985577/number-jobs-created-sitting-president/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2022, former President Bill Clinton was the president who created the most jobs in the United States, at **** million jobs created during his eight year term in office. Former President Ronald Reagan created the second most jobs during his term, at **** million.

  12. m

    Job Market Trends and Employment Growth Statistics and Facts

    • market.biz
    Updated Aug 12, 2025
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    Market.biz (2025). Job Market Trends and Employment Growth Statistics and Facts [Dataset]. https://market.biz/job-market-trends-and-employment-growth-statistics/
    Explore at:
    Dataset updated
    Aug 12, 2025
    Dataset provided by
    Market.biz
    License

    https://market.biz/privacy-policyhttps://market.biz/privacy-policy

    Time period covered
    2022 - 2032
    Area covered
    ASIA, Australia, North America, South America, Africa, Europe
    Description

    Introduction

    Job Market Trends and Employment Growth Statistics: The global job market is continuously evolving, influenced by economic shifts, technological advancements, and demographic changes. According to recent data, global employment is projected to grow by 3.5% annually through 2027, with sectors like healthcare, technology, and renewable energy leading the charge. The rise of automation and AI is reshaping traditional roles, creating new opportunities while phasing out certain jobs.

    Additionally, remote work trends continue to surge, with 30% of the workforce expected to work remotely by 2027. These factors collectively impact employment patterns, requiring both workers and organizations to adapt in order to thrive in the changing landscape.

  13. F

    12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Stayer

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Stayer [Dataset]. https://fred.stlouisfed.org/series/FRBATLWGT12MMUMHWGJST
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Description

    Graph and download economic data for 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Stayer (FRBATLWGT12MMUMHWGJST) from Dec 1997 to Aug 2025 about growth, moving average, 1-year, jobs, average, wages, median, and USA.

  14. U.S. direct care workforce job growth from 2008 to 2018, by setting

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). U.S. direct care workforce job growth from 2008 to 2018, by setting [Dataset]. https://www.statista.com/statistics/1098360/direct-care-workforce-job-growth-by-setting-in-the-us/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    United States
    Description

    In 2008, around ******* workers were employed in home care in the U.S. By 2018, this number had increased to some ******* workers. This statistic shows the number of jobs in direct care in the U.S. in 2008 and 2018, by setting.

  15. o

    Replication data for: The Growth of Low-Skill Service Jobs and the...

    • openicpsr.org
    Updated Aug 1, 2013
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    David H. Autor; David Dorn (2013). Replication data for: The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market [Dataset]. http://doi.org/10.3886/E112652V1
    Explore at:
    Dataset updated
    Aug 1, 2013
    Dataset provided by
    American Economic Association
    Authors
    David H. Autor; David Dorn
    Description

    We offer a unified analysis of the growth of low-skill service occupations between 1980 and 2005 and the concurrent polarization of US employment and wages. We hypothesize that polarization stems from the interaction between consumer preferences, which favor variety over specialization, and the falling cost of automating routine, codifiable job tasks. Applying a spatial equilibrium model, we corroborate four implications of this hypothesis. Local labor markets that specialized in routine tasks differentially adopted information technology, reallocated low-skill labor into service occupations (employment polarization), experienced earnings growth at the tails of the distribution (wage polarization), and received inflows of skilled labor.

  16. S

    Data from: Job Growth

    • splitgraph.com
    • performance.cityofhenderson.com
    • +1more
    Updated May 25, 2022
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    performance-cityofhenderson (2022). Job Growth [Dataset]. https://www.splitgraph.com/performance-cityofhenderson/job-growth-e5k4-gr8c/
    Explore at:
    json, application/vnd.splitgraph.image, application/openapi+jsonAvailable download formats
    Dataset updated
    May 25, 2022
    Authors
    performance-cityofhenderson
    Description

    Job growth is often used as a measure of economic expansion and health. The city's job growth consistently exceeds local competitors. Future job growth in Henderson is predicted to be 42.1%, higher than the US average of 33.5%. Note: Most current US Census data is 2018.

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  17. F

    12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
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    (2025). 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Switcher [Dataset]. https://fred.stlouisfed.org/series/FRBATLWGT12MMUMHWGJSW
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

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

    Description

    Graph and download economic data for 12-Month Moving Average of Unweighted Median Hourly Wage Growth: Job Switcher (FRBATLWGT12MMUMHWGJSW) from Dec 1997 to Aug 2025 about growth, moving average, 1-year, jobs, average, wages, median, and USA.

  18. j

    CA Jobs Dataset: Comprehensive Job Count Information by Company

    • jopilot.net
    zip
    Updated Mar 9, 2023
    + more versions
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    Tarta.ai (2023). CA Jobs Dataset: Comprehensive Job Count Information by Company [Dataset]. https://jopilot.net/open-data/datasets/number-of-jobs-by-company-in-CA-0523
    Explore at:
    zip(5309211 bytes)Available download formats
    Dataset updated
    Mar 9, 2023
    Dataset provided by
    Tarta.ai
    License

    https://jopilot.net/dataset-licencehttps://jopilot.net/dataset-licence

    Time period covered
    May 1, 2023 - May 31, 2023
    Area covered
    California
    Dataset funded by
    Tarta.ai
    Description

    The dataset provided by JoPilot, created in May 2023, contains information on the number of jobs by company and city in California. The data provides a comprehensive view of the job market, highlighting the companies and cities that have the highest number of job opportunities.

    The dataset includes a list of companies and the number of jobs they offer in different cities.

    The dataset provides valuable insights for job seekers, employers, and policymakers. It can help job seekers to identify companies and cities with the highest job opportunities in their preferred industry and location. Employers can use the data to understand the competitive landscape and adjust their recruitment strategies accordingly. Policymakers can leverage the information to develop policies that promote job growth and economic development in different regions.

    Overall, the JoPilot dataset is a valuable resource for anyone interested in the job market and provides a comprehensive view of the employment landscape across different industries and regions.

    Dataset Columns:
    1. Company name
    2. City
    3. State
    4. Jobs in total
  19. Long-Term Occupational Employment Projections

    • data.ca.gov
    • s.cnmilf.com
    • +2more
    csv
    Updated May 26, 2023
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    California Employment Development Department (2023). Long-Term Occupational Employment Projections [Dataset]. https://data.ca.gov/dataset/long-term-occupational-employment-projections
    Explore at:
    csv(3757492)Available download formats
    Dataset updated
    May 26, 2023
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Description

    Long-term Occupational Projections for a 10-year time horizon are provided for the State and its labor market regions to provide individuals and organizations with an occupational outlook to make informed decisions on individual career and organizational program development. Long-term projections are revised annually. Data are not available for geographies below the labor market regions. Detail may not add to summary lines due to suppression of data because of confidentiality and/or quality.

  20. T

    Canada Employment Change

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 5, 2025
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    TRADING ECONOMICS (2025). Canada Employment Change [Dataset]. https://tradingeconomics.com/canada/employment-change
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 29, 1976 - Aug 31, 2025
    Area covered
    Canada
    Description

    Employment in Canada decreased by 65.50 in August of 2025. This dataset provides the latest reported value for - Canada Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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DVRPC (2025). Job Growth [Dataset]. https://catalog.dvrpc.org/dataset/job-growth

Data from: Job Growth

Related Article
Explore at:
csv(188567), csv(204458), csv(101043), csv(94938), csv(78623), csv(5828), csv(158079)Available download formats
Dataset updated
Mar 17, 2025
Dataset authored and provided by
DVRPC
License

https://catalog.dvrpc.org/dvrpc_data_license.htmlhttps://catalog.dvrpc.org/dvrpc_data_license.html

Description

The U.S. Bureau of Economic Analysis’ Total Full-Time and Part-Time Employment data provides one of the most comprehensive, publicly available accountings of average annual employment. Beyond full- and part-time employment types, it includes farm employment and other sectors that aren’t always included in other sources, such as Public Administration (with more detail of federal than state and local employment in this category). It also includes and distinguishes both Wage and Salary employees from Proprietors who own their own unincorporated businesses and handle taxation chiefly as personal income. Proprietors tend to be single-person or small businesses and can include construction or repair workers, babysitters, ride-share drivers, artists, local grocers, housekeepers, various freelancers and consultants, and some attorneys and doctors.

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