100+ datasets found
  1. 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
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    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 - Jun 30, 2025
    Area covered
    United States
    Description

    Employment Rate in the United States remained unchanged at 59.70 percent in June. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  2. Impact of 5G on potential new jobs in the United States 2021-2025, by state

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Impact of 5G on potential new jobs in the United States 2021-2025, by state [Dataset]. https://www.statista.com/statistics/1212279/job-creation-enabled-by-5g-in-the-united-states/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    ** could contribute to a total of over ** million potential new jobs in the United States (U.S.) from 2021 to 2025. California is the state where ** will create the most jobs with an estimation of almost *** million jobs. Texas is ranked second, with **** million potential jobs created, followed by New York, which could create *** million new jobs.

  3. Most demanded technical positions by recruiters worldwide 2025

    • statista.com
    Updated Feb 5, 2025
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    Statista (2025). Most demanded technical positions by recruiters worldwide 2025 [Dataset]. https://www.statista.com/statistics/1367003/in-demand-it-roles/
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    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    Recruiters worldwide reported that the most demanded IT roles for 2025 were full-stack and back-end developers. AI/Machine learning specialists ranked third in terms of job demand for 2025, followed by Front-end developers/engineers and DevOps.

  4. Job Search Engines Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Job Search Engines Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/job-search-engines-market-report
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Job Search Engines Market Outlook



    The global job search engines market is poised for significant growth, with a market size projected to expand from $2.3 billion in 2023 to approximately $4.9 billion by 2032, reflecting a compound annual growth rate (CAGR) of 8.8%. This growth is driven by an increasing reliance on digital platforms for job searching and recruitment processes, which offer more efficient, comprehensive, and accessible options for both job seekers and employers. The integration of advanced technologies such as artificial intelligence and machine learning into job search platforms is enhancing the user experience by providing personalized job recommendations and improving matching accuracy, thus driving market growth. Moreover, the global workforce's shift towards more flexible and remote working arrangements has fueled the demand for digital job search solutions, further propelling the market forward.



    One of the primary growth factors of the job search engines market is the rapid digital transformation across industries. As organizations increasingly adopt digital tools to streamline their operations, the recruitment process has also undergone a significant transformation. Job search engines facilitate this transition by enabling employers to reach a broader candidate pool and job seekers to access numerous employment opportunities efficiently. Furthermore, the increasing internet penetration and smartphone adoption globally have made these platforms more accessible, especially in emerging economies. The convenience and speed offered by job search engines compared to traditional recruitment methods have significantly contributed to their widespread adoption. These platforms not only save time for both parties involved but also reduce costs associated with hiring processes.



    Another crucial factor contributing to market growth is the rising demand for skilled labor in specialized fields. Industries such as IT, healthcare, and engineering are experiencing a surge in demand for qualified professionals, driven by technological advancements and industry-specific developments. Job search engines have become invaluable tools in bridging the gap between talent demand and supply. They provide a platform for job seekers to showcase their skills and for employers to find the right candidates with the necessary expertise. The ability of these platforms to leverage data analytics and artificial intelligence to match candidates with appropriate job opportunities enhances their value proposition and drives their adoption across various industry verticals.



    Furthermore, the evolving nature of the global workforce is a significant growth driver for the job search engines market. The shift towards gig economy and freelance work is reshaping how individuals pursue career opportunities. Job search platforms have adapted to this trend by offering features tailored to freelancers and gig workers, such as project-based listings and flexible job options. This shift is particularly pronounced among younger generations who prioritize work-life balance and flexibility over traditional employment models. As a result, job search engines have expanded their offerings to cater to this growing segment of the workforce, further fueling market growth. The ability of these platforms to cater to diverse employment needs makes them indispensable in today's dynamic job market.



    Crawler Based Search Engine technology plays a pivotal role in enhancing the efficiency and reach of job search engines. These search engines utilize automated bots, known as crawlers, to systematically browse the web and index job listings from various sources. This approach ensures that job seekers have access to a comprehensive database of employment opportunities, which is continuously updated as new listings become available. By leveraging crawler technology, job search platforms can offer a more extensive range of job postings, providing users with a greater selection of potential career paths. This capability is particularly beneficial in industries with high turnover rates or rapidly changing job markets, where timely access to new listings is crucial for both job seekers and employers.



    Regionally, North America remains a dominant player in the job search engines market, primarily due to the high adoption rate of digital recruitment solutions and the presence of key market players in the region. The robust technological infrastructure and high internet penetration further bolster the market's growth in North America. However, Asia Pacific is expected to

  5. 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 - Jun 30, 2025
    Area covered
    United States
    Description

    Full Time Employment in the United States increased to 135277 Thousand in June from 134840 Thousand in May of 2025. This dataset provides - United States Full Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. T

    United States ADP Employment Change

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 2, 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 2, 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 - Jun 30, 2025
    Area covered
    United States
    Description

    Private businesses in the United States fired -33 thousand workers in June of 2025 compared to 29 thousand in May 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.

  7. T

    Poland Employment Growth YoY

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Jun 23, 2025
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    TRADING ECONOMICS (2025). Poland Employment Growth YoY [Dataset]. https://tradingeconomics.com/poland/employment-change
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Jun 23, 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 - May 31, 2025
    Area covered
    Poland
    Description

    Employment in Poland decreased by 0.80 in May of 2025. This dataset provides - Poland Employment Growth YoY- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. F

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

    • fred.stlouisfed.org
    json
    Updated Jul 9, 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
    Jul 9, 2025
    License

    https://fred.stlouisfed.org/legal/https://fred.stlouisfed.org/legal/

    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 Jun 2025 about growth, moving average, jobs, 3-month, average, wages, median, and USA.

  9. United States Realized Employment Growth

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Realized Employment Growth [Dataset]. https://www.ceicdata.com/en/united-states/business-uncertainty-index/realized-employment-growth
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    Dataset updated
    Feb 15, 2025
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Economic Outlook Survey
    Description

    United States Realized Employment Growth data was reported at 1.902 % in Apr 2025. This records a decrease from the previous number of 2.211 % for Mar 2025. United States Realized Employment Growth data is updated monthly, averaging 2.524 % from Sep 2016 (Median) to Apr 2025, with 104 observations. The data reached an all-time high of 6.223 % in Nov 2018 and a record low of -7.432 % in May 2020. United States Realized Employment Growth data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S015: Business Uncertainty Index.

  10. Global AI Job Market Trends & Salary Insights 2025

    • kaggle.com
    Updated Jun 29, 2025
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    Pratyush Puri (2025). Global AI Job Market Trends & Salary Insights 2025 [Dataset]. https://www.kaggle.com/datasets/pratyushpuri/global-ai-job-market-trend-2025/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 29, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Pratyush Puri
    License

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

    Description

    The AI & Data Job Salaries and Skills Dataset 2024-2025 is synthetically prepared and provides a detailed, global overview of job listings in artificial intelligence, data science, machine learning, and related fields. This dataset aggregates job postings from October 2024 to July 2025, capturing a wide spectrum of roles, required skills, compensation, and organizational attributes across multiple countries and industries.

    With over 15,000 entries, each record details the job title, salary (in USD and local currency), experience level, employment type, company location and size, remote work ratio, required technical skills, education and experience requirements, industry, posting and application dates, job description length, benefits score, and company name. This rich dataset is designed for data scientists, career analysts, HR professionals, and researchers interested in AI workforce trends, salary benchmarking, and skills demand analysis.

    Column Details

    Column NameDescriptionExample Values
    job_idUnique identifier for each job postingAI00001, AI00002
    job_titleTitle/role advertisedAI Research Scientist, Data Analyst
    salary_usdAnnual salary converted to USD90376, 124355
    salary_currencyCurrency in which salary is offeredUSD, EUR, GBP
    experience_levelLevel of experience required (EN=Entry, MI=Mid, SE=Senior, EX=Executive)SE, EN, MI, EX
    employment_typeContract type (CT=Contract, FT=Full-time, PT=Part-time, FL=Freelance)FT, PT, CT, FL
    company_locationCountry where the company is basedChina, Canada, Germany
    company_sizeCompany size (S=Small, M=Medium, L=Large)S, M, L
    employee_residenceCountry of employee residenceChina, Ireland, Singapore
    remote_ratio% of remote work allowed (0=Onsite, 50=Hybrid, 100=Remote)0, 50, 100
    required_skillsKey technical skills required (comma-separated)Python, SQL, Tableau, Docker
    education_requiredMinimum education level requiredBachelor, Master, PhD, Associate
    years_experienceMinimum years of experience required0, 4, 9, 15
    industryIndustry sector of the jobAutomotive, Media, Healthcare
    posting_dateDate when the job was posted (YYYY-MM-DD)2024-10-18
    application_deadlineLast date to apply for the job (YYYY-MM-DD)2024-11-07
    job_description_lengthLength of job description in characters1076, 2340
    benefits_scoreNumeric score (0-10) reflecting benefits quality5.9, 9.4
    company_nameName of the hiring companySmart Analytics, TechCorp Inc

    Example Data Row (Landscape Format)

    | Field | Value | |-------------------------|-----------...

  11. Data Science Job Market

    • kaggle.com
    Updated Mar 19, 2025
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    Boltana MT (2025). Data Science Job Market [Dataset]. https://www.kaggle.com/datasets/misganawtboltana/data-science-job-market-in-2025-15k
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 19, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Boltana MT
    License

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

    Description

    The Data Science job market has been expanding rapidly over the past few years, and projections for 2025 indicate that this growth will continue at an impressive pace. This dataset contains over 7,000 job opportunities in 2025, mainly gathered from India. However, it provides valuable insights into the skills in demand globally.

    This dataset offers real-world insights into the latest in-demand skills such as Python, SQL, machine learning, and AI, helping data scientists navigate the evolving job market. It highlights key job trends, market-demanded skills, and location-based opportunities.

    ** If you find this dataset helpful, please don't forget to upvote **
    

    Dataset Attributes:

    Job Title: The position being offered (e.g., Data Scientist, Data Analyst). Company Name: The name of the hiring company. Location: Geographical location of the job (e.g., Chennai, Bengaluru). Experience: The required years of experience (e.g., 0-1 Years, 2-5 Years). Job Description: A brief description of the job role and responsibilities. Skills: The key technical and soft skills required for the job (e.g., Python, SQL, Machine Learning). Job Post Day: The date when the job was posted.

  12. United States US: Employment Rate: Age 15-74

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States US: Employment Rate: Age 15-74 [Dataset]. https://www.ceicdata.com/en/united-states/employment-and-unemployment-forecast-oecd-member-annual/us-employment-rate-age-1574
    Explore at:
    Dataset updated
    Feb 15, 2025
    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, 2015 - Dec 1, 2026
    Area covered
    United States
    Variables measured
    Unemployment
    Description

    United States US: Employment Rate: Age 15-74 data was reported at 67.118 % in 2026. This records an increase from the previous number of 66.828 % for 2025. United States US: Employment Rate: Age 15-74 data is updated yearly, averaging 65.646 % from Dec 1985 (Median) to 2026, with 42 observations. The data reached an all-time high of 69.750 % in 2000 and a record low of 61.414 % in 2010. United States US: Employment Rate: Age 15-74 data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.EO: Employment and Unemployment: Forecast: OECD Member: Annual.

  13. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 3, 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, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  14. F

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

    • fred.stlouisfed.org
    json
    Updated Jun 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
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/https://fred.stlouisfed.org/legal/

    Description

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

  15. Job vacancies monthly growth in Germany 2023-2025

    • statista.com
    • ai-chatbox.pro
    Updated May 5, 2025
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    Statista (2025). Job vacancies monthly growth in Germany 2023-2025 [Dataset]. https://www.statista.com/statistics/1341794/monthly-growth-in-registered-job-vacancies-germany/
    Explore at:
    Dataset updated
    May 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2023 - Apr 2025
    Area covered
    Germany
    Description

    In April 2025, there were 7.9 percent less job vacancies in Germany than in March. The job vacancy rate has been decreasing since December 2022.

  16. t

    Employment Services Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 10, 2025
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    The Business Research Company (2025). Employment Services Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/employment-services-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    The Business Research Company
    License

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

    Description

    Global Employment Services market size is expected to reach $3237.5 billion by 2029 at 10.7%, segmented as by type, employment placement agencies, executive search services, temporary help services, professional employer organizations

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

    • statista.com
    • ai-chatbox.pro
    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/
    Explore at:
    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.

  18. c

    Number of Employed Non-institutional Workers in U.S. (1953-2025)

    • consumershield.com
    csv
    Updated Jul 8, 2025
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    ConsumerShield Research Team (2025). Number of Employed Non-institutional Workers in U.S. (1953-2025) [Dataset]. https://www.consumershield.com/articles/how-many-people-employed-in-us
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    ConsumerShield Research Team
    License

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

    Area covered
    United States
    Description

    The graph illustrates the number of employed noninstitutional workers in the United States from 1953 to 2025. The x-axis represents the years, spanning from 1953 to 2025, while the y-axis shows the annual number of workers. Over this 70-year period, employment increased from 61.2 million in 1953 to 163.50 million in 2025. Notable points include a low of 60,1 million workers in 1954 and a steady rise to the highest figure in June 2025. The data reveals a consistent upward trend in employment, with periods of growth interspersed with minor fluctuations. This information is presented in a line graph format, effectively highlighting the long-term growth and yearly variations in noninstitutional worker employment across the United States.

  19. Number of employees worldwide 1991-2025

    • statista.com
    • ai-chatbox.pro
    Updated May 30, 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
    May 30, 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.

  20. Flexible Employment Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 4, 2024
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    Dataintelo (2024). Flexible Employment Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/flexible-employment-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 4, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Flexible Employment Market Outlook



    The global market size for flexible employment was valued at approximately USD 3.8 trillion in 2023 and is projected to reach around USD 6.4 trillion by 2032, growing at a compound annual growth rate (CAGR) of 6.1% during the forecast period. This market growth is driven by the increasing demand for work-life balance, technological advancements, and the evolving nature of work.



    One of the key drivers for the growth of the flexible employment market is the increasing desire for work-life balance among employees. The modern workforce prioritizes flexibility in their work schedule, which allows them to balance their professional and personal lives more effectively. This shift in preference is particularly evident among millennials and Gen Z, who place a high value on flexibility and autonomy in their careers. Companies are responding to this trend by offering more flexible employment options to attract and retain top talent.



    Technological advancements have also played a significant role in the expansion of the flexible employment market. The proliferation of high-speed internet, cloud computing, and collaboration tools has enabled remote work and virtual teams. These technologies facilitate seamless communication and collaboration, making it easier for employees to work from anywhere in the world. As a result, businesses are increasingly adopting remote work policies, further driving the growth of the flexible employment market.



    The evolving nature of work is another factor contributing to the growth of the flexible employment market. The gig economy, characterized by short-term contracts and freelance work, has gained significant traction in recent years. This shift towards project-based work is driven by both employers and employees seeking more flexible and dynamic work arrangements. Companies benefit from the ability to scale their workforce up or down based on project needs, while workers enjoy the freedom to choose their assignments and work schedules.



    Regionally, North America dominates the flexible employment market, accounting for the largest share in 2023. The region's strong technological infrastructure, high internet penetration, and progressive work culture have facilitated the adoption of flexible employment practices. Europe and Asia Pacific are also significant markets, with increasing demand for flexible work arrangements in countries like the United Kingdom, Germany, China, and India. The Middle East & Africa and Latin America are expected to witness substantial growth in the coming years as businesses in these regions recognize the benefits of flexible employment.



    Employment Type Analysis



    The flexible employment market can be segmented by employment type into part-time, freelance, temporary, remote, and others. The part-time segment has seen significant growth as it allows employees to work fewer hours while still contributing to the workforce. Many companies offer part-time roles to manage costs and increase workforce flexibility. This segment is particularly popular among students, parents, and individuals seeking a better work-life balance.



    The freelance segment is another rapidly growing area within the flexible employment market. Freelancers, or independent contractors, offer specialized skills on a project-by-project basis. This segment is driven by the rise of the gig economy, where workers prefer short-term, flexible work arrangements over traditional full-time employment. Freelancers are prevalent in industries such as IT, design, writing, and marketing, where specialized skills are in high demand.



    Temporary employment, which includes short-term contracts and seasonal work, is also a significant segment of the flexible employment market. Businesses often rely on temporary workers to meet peak demand periods or to fill gaps during employee absences. Temporary employment provides companies with the flexibility to adjust their workforce based on changing business needs without the long-term commitment of permanent hires.



    Remote work has become a prominent segment within the flexible employment market, particularly in the wake of the COVID-19 pandemic. The ability to work from home or any location outside the traditional office environment has become a key factor in employee satisfaction and productivity. Companies across various industries have adopted remote work policies to attract and retain talent, reduce overhead costs, and increase operational efficiency.



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TRADING ECONOMICS, United States Employment Rate [Dataset]. https://tradingeconomics.com/united-states/employment-rate

United States Employment Rate

United States Employment Rate - Historical Dataset (1948-01-31/2025-06-30)

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59 scholarly articles cite this dataset (View in Google Scholar)
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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 - Jun 30, 2025
Area covered
United States
Description

Employment Rate in the United States remained unchanged at 59.70 percent in June. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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