100+ datasets found
  1. T

    Poland Employment Growth YoY

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 21, 2025
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    TRADING ECONOMICS (2025). Poland Employment Growth YoY [Dataset]. https://tradingeconomics.com/poland/employment-change
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Aug 21, 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
    Jan 31, 2006 - Jul 31, 2025
    Area covered
    Poland
    Description

    Employment in Poland decreased by 0.90 in July of 2025. This dataset provides - Poland Employment Growth YoY- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  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. T

    United States Employment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    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.

  4. Total employment figures and unemployment rate in the United States...

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Total employment figures and unemployment rate in the United States 1980-2025 [Dataset]. https://www.statista.com/statistics/269959/employment-in-the-united-states/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, it was estimated that over 161 million Americans were in some form of employment, while 3.64 percent of the total workforce was unemployed. This was the lowest unemployment rate since the 1950s, although these figures are expected to rise in 2023 and beyond. 1980s-2010s Since the 1980s, the total United States labor force has generally risen as the population has grown, however, the annual average unemployment rate has fluctuated significantly, usually increasing in times of crisis, before falling more slowly during periods of recovery and economic stability. For example, unemployment peaked at 9.7 percent during the early 1980s recession, which was largely caused by the ripple effects of the Iranian Revolution on global oil prices and inflation. Other notable spikes came during the early 1990s; again, largely due to inflation caused by another oil shock, and during the early 2000s recession. The Great Recession then saw the U.S. unemployment rate soar to 9.6 percent, following the collapse of the U.S. housing market and its impact on the banking sector, and it was not until 2016 that unemployment returned to pre-recession levels. 2020s 2019 had marked a decade-long low in unemployment, before the economic impact of the Covid-19 pandemic saw the sharpest year-on-year increase in unemployment since the Great Depression, and the total number of workers fell by almost 10 million people. Despite the continuation of the pandemic in the years that followed, alongside the associated supply-chain issues and onset of the inflation crisis, unemployment reached just 3.67 percent in 2022 - current projections are for this figure to rise in 2023 and the years that follow, although these forecasts are subject to change if recent years are anything to go by.

  5. F

    All Employees, Manufacturing

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). All Employees, Manufacturing [Dataset]. https://fred.stlouisfed.org/series/MANEMP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for All Employees, Manufacturing (MANEMP) from Jan 1939 to Aug 2025 about headline figure, establishment survey, manufacturing, employment, and USA.

  6. F

    Employed, Usually Work Full Time

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Employed, Usually Work Full Time [Dataset]. https://fred.stlouisfed.org/series/LNS12500000
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Employed, Usually Work Full Time (LNS12500000) from Jan 1968 to Aug 2025 about full-time, 16 years +, household survey, employment, and USA.

  7. T

    United States Full Time Employment

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Full Time Employment [Dataset]. https://tradingeconomics.com/united-states/full-time-employment
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    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, 1968 - Aug 31, 2025
    Area covered
    United States
    Description

    Full Time Employment in the United States decreased to 134480 Thousand in August from 134837 Thousand in July of 2025. This dataset provides - United States Full Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. Employment by industry, monthly, seasonally adjusted and unadjusted, and...

    • www150.statcan.gc.ca
    Updated Sep 5, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employment by industry, monthly, seasonally adjusted and unadjusted, and trend-cycle, last 5 months (x 1,000) [Dataset]. http://doi.org/10.25318/1410035501-eng
    Explore at:
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

  9. S

    Slovenia Employment: YoY Growth: Total

    • ceicdata.com
    Updated Feb 7, 2018
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    CEICdata.com (2018). Slovenia Employment: YoY Growth: Total [Dataset]. https://www.ceicdata.com/en/slovenia/employment-by-sex-year-on-year-growth-forecast-bank-of-slovenia
    Explore at:
    Dataset updated
    Feb 7, 2018
    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
    Dec 1, 2017 - Dec 1, 2025
    Area covered
    Slovenia
    Variables measured
    Employment
    Description

    Employment: YoY Growth: Total data was reported at 0.700 % in 2025. This records a decrease from the previous number of 0.800 % for 2024. Employment: YoY Growth: Total data is updated yearly, averaging 1.300 % from Dec 2017 (Median) to 2025, with 9 observations. The data reached an all-time high of 2.800 % in 2018 and a record low of -0.600 % in 2020. Employment: YoY Growth: Total data remains active status in CEIC and is reported by Bank of Slovenia. The data is categorized under Global Database’s Slovenia – Table SI.G008: Employment: by Sex: Year on Year Growth: Forecast: Bank of Slovenia.

  10. 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.

  11. SE employment YoY growth rate Thailand 2022-2023, by sector

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). SE employment YoY growth rate Thailand 2022-2023, by sector [Dataset]. https://www.statista.com/statistics/1333757/thailand-yoy-growth-rate-of-small-enterprise-employment-by-sector/
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2022 - Apr 2023
    Area covered
    Thailand
    Description

    Employment in the services sector of small enterprises (SEs) in Thailand grew by ***** percent in April 2023 compared to the same month of the previous year. In that same period, employment in the manufacturing sector registered a **** percent Y-o-Y growth.

  12. ME employment YoY growth rate Thailand 2022-2023, by sector

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). ME employment YoY growth rate Thailand 2022-2023, by sector [Dataset]. https://www.statista.com/statistics/1333749/thailand-growth-rate-of-medium-enterprise-employment-by-sector/
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2022 - Apr 2023
    Area covered
    Thailand
    Description

    Employment in the services sector of medium enterprises (MEs) in Thailand grew by ***** percent in April 2023 compared to the same month of the previous year. In that same period, employment in the manufacturing sector registered a ***** percent Y-o-Y growth.

  13. European Union ECB Projection: Employment: YoY Growth: EA

    • ceicdata.com
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    CEICdata.com, European Union ECB Projection: Employment: YoY Growth: EA [Dataset]. https://www.ceicdata.com/en/european-union/european-central-bank-labour-statistics-employment-and-unemployment-projection/ecb-projection-employment-yoy-growth-ea
    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, 2018 - Dec 1, 2021
    Area covered
    Europe, European Union
    Description

    European Union ECB Projection: Employment: YoY Growth: EA data was reported at 0.600 % in 2021. This stayed constant from the previous number of 0.600 % for 2020. European Union ECB Projection: Employment: YoY Growth: EA data is updated yearly, averaging 0.650 % from Dec 2018 (Median) to 2021, with 4 observations. The data reached an all-time high of 1.400 % in 2018 and a record low of 0.600 % in 2021. European Union ECB Projection: Employment: YoY Growth: EA data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s European Union – Table EU.G040: European Central Bank: Labour Statistics, Employment and Unemployment: Projection.

  14. S

    Slovenia Employment: YoY Growth : According to SNA

    • ceicdata.com
    Updated Feb 8, 2018
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    CEICdata.com (2018). Slovenia Employment: YoY Growth : According to SNA [Dataset]. https://www.ceicdata.com/en/slovenia/employment-by-sex-year-on-year-growth-forecast-institute-of-macroeconomic-analysis-and-development
    Explore at:
    Dataset updated
    Feb 8, 2018
    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
    Dec 1, 2016 - Dec 1, 2025
    Area covered
    Slovenia
    Variables measured
    Employment
    Description

    Employment: YoY Growth : According to SNA data was reported at 0.400 % in 2025. This records a decrease from the previous number of 0.700 % for 2024. Employment: YoY Growth : According to SNA data is updated yearly, averaging 1.600 % from Dec 2016 (Median) to 2025, with 10 observations. The data reached an all-time high of 3.200 % in 2018 and a record low of -0.600 % in 2020. Employment: YoY Growth : According to SNA data remains active status in CEIC and is reported by Institute of Macroeconomic Analysis and Development. The data is categorized under Global Database’s Slovenia – Table SI.G007: Employment: by Sex: Year on Year Growth: Forecast: Institute of Macroeconomic Analysis and Development.

  15. C

    Cyprus MOF Forecast: Employment: YoY

    • ceicdata.com
    Updated Feb 28, 2018
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    CEICdata.com (2018). Cyprus MOF Forecast: Employment: YoY [Dataset]. https://www.ceicdata.com/en/cyprus/employment-year-on-year-growth-forecast-ministry-of-finance
    Explore at:
    Dataset updated
    Feb 28, 2018
    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
    Dec 1, 2016 - Dec 1, 2027
    Area covered
    Cyprus
    Variables measured
    Employment
    Description

    MOF Forecast: Employment: YoY data was reported at 1.300 % in 2027. This stayed constant from the previous number of 1.300 % for 2026. MOF Forecast: Employment: YoY data is updated yearly, averaging 1.200 % from Dec 2008 (Median) to 2027, with 20 observations. The data reached an all-time high of 4.000 % in 2018 and a record low of -0.200 % in 2012. MOF Forecast: Employment: YoY data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Cyprus – Table CY.G011: Employment: Year on Year Growth: Forecast: Ministry of Finance.

  16. F

    Average Hourly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CEU0500000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

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

    Description

    Graph and download economic data for Average Hourly Earnings of All Employees, Total Private (CEU0500000003) from Mar 2006 to Aug 2025 about average, earnings, hours, establishment survey, wages, private, employment, and USA.

  17. Long-Term Occupational Employment Projections

    • kaggle.com
    Updated Feb 3, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Amrutha Satishkumar
    License

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

    Description

    This dataset provides long-term occupational employment projections for the state of California across various industries. It offers insights into job growth, industry trends, and workforce demand over a 10-year horizon.

    Why is this dataset useful? 1. Job Market Analysis – Identify which jobs and industries are expected to grow or decline. Workforce Planning – Helps businesses, policymakers, and educators align training programs with future job demand. 2. Predictive Modeling – Use this dataset for time-series forecasting, job demand predictions, and labor market analytics.

    Data Details: - Timeframe: 2022-2032 - Geography: State of California - Industries Covered: Technology, Healthcare, Retail, Manufacturing, Finance, and more.

    Columns: 1. Area Type – Specifies the geographic classification (e.g., state-level or regional). 2. Area Name – The name of the geographic region (e.g., California, specific labor market regions). 3. Period – The timeframe of the projection, typically from the base year to the projected year (e.g., 2022-2032). 4. SOC Level – The level of the Standard Occupational Classification (SOC) system used for job categorization. 5. Standard Occupational Classification (SOC) – A unique code representing a specific occupation based on the SOC system. 6. Occupational Title – The official job title corresponding to the SOC code. 7. Base Year Employment Estimate – The estimated number of jobs for the occupation in the base year (e.g., 2022). 8. Projected Year Employment Estimate – The expected number of jobs for the occupation in the projected year (e.g., 2032). 9. Numeric Change – The absolute difference in employment between the base year and projected year. 10. Percentage Change – The percentage increase or decrease in employment over the projection period. 11. Exits – Estimated number of workers leaving the occupation due to retirement or career changes. 12. Transfers – Estimated number of workers transferring into or out of an occupation. 13. Total Job Openings – The sum of exits, transfers, and new job creation, representing the total expected openings. 14. Median Hourly Wage – The median hourly wage for the occupation. 15. Median Annual Wage – The median annual wage for the occupation. 16. Entry Level Education – The typical minimum education required for the occupation (e.g., high school diploma, bachelor's degree). 17. Work Experience – The amount of prior work experience typically needed for the occupation. 18. Job Training – The type of on-the-job training required for entry into the occupation.

    Potential Use Cases: ✔ Career Guidance – Helps individuals choose high-growth career paths. ✔ Economic Research – Understand how employment trends impact the economy. ✔ Machine Learning Models – Build predictive models for workforce demand.

    If you find this dataset useful, please upvote! Your support encourages more high-quality datasets.

  18. Occupational Outlook Handbook

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). Occupational Outlook Handbook [Dataset]. https://catalog.data.gov/dataset/occupational-outlook-handbook-51009
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The Occupational Outlook Handbook (OOH) is a nationally recognized source of career information, designed to provide valuable assistance to individuals making decisions about their future work lives. The Handbook is revised every two years. The OOH offers information on the hundreds of occupations that provide the majority of jobs in the United States. Each occupational profile describes the typical duties performed by the occupation, the work environment of that occupation, the typical education and training needed to enter the occupation, the median pay for workers in the occupation, and the job outlook over the coming decade for that occupation. For information on occupations, please visit: https://www.bls.gov/ooh/

  19. F

    Employment-Population Ratio

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
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    (2025). Employment-Population Ratio [Dataset]. https://fred.stlouisfed.org/series/EMRATIO
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 1, 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-Population Ratio (EMRATIO) from Jan 1948 to Jul 2025 about employment-population ratio, civilian, 16 years +, household survey, employment, population, and USA.

  20. T

    United States ADP Employment Change

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 30, 2025
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    TRADING ECONOMICS (2025). United States ADP Employment Change [Dataset]. https://tradingeconomics.com/united-states/adp-employment-change
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Jul 30, 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 28, 2010 - Aug 31, 2025
    Area covered
    United States
    Description

    Private businesses in the United States hired 54 thousand workers in August of 2025 compared to 106 thousand in July of 2025. This dataset provides the latest reported value for - United States ADP 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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TRADING ECONOMICS (2025). Poland Employment Growth YoY [Dataset]. https://tradingeconomics.com/poland/employment-change

Poland Employment Growth YoY

Poland Employment Growth YoY - Historical Dataset (2006-01-31/2025-07-31)

Explore at:
xml, excel, json, csvAvailable download formats
Dataset updated
Aug 21, 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
Jan 31, 2006 - Jul 31, 2025
Area covered
Poland
Description

Employment in Poland decreased by 0.90 in July of 2025. This dataset provides - Poland Employment Growth YoY- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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