100+ datasets found
  1. O*NET Database

    • onetcenter.org
    • kaggle.com
    excel, mysql, oracle +2
    Updated May 20, 2025
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    National Center for O*NET Development (2025). O*NET Database [Dataset]. https://www.onetcenter.org/database.html
    Explore at:
    oracle, sql server, text, mysql, excelAvailable download formats
    Dataset updated
    May 20, 2025
    Dataset provided by
    Occupational Information Network
    License

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

    Area covered
    United States
    Dataset funded by
    US Department of Labor, Employment and Training Administration
    Description

    The O*NET Database contains hundreds of standardized and occupation-specific descriptors on almost 1,000 occupations covering the entire U.S. economy. The database, which is available to the public at no cost, is continually updated by a multi-method data collection program. Sources of data include: job incumbents, occupational experts, occupational analysts, employer job postings, and customer/professional association input.

    Data content areas include:

    • Worker Characteristics (e.g., Abilities, Interests, Work Styles)
    • Worker Requirements (e.g., Education, Knowledge, Skills)
    • Experience Requirements (e.g., On-the-Job Training, Work Experience)
    • Occupational Requirements (e.g., Detailed Work Activities, Work Context)
    • Occupation-Specific Information (e.g., Job Titles, Tasks, Technology Skills)

  2. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
    + more versions
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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.

  3. U.S. monthly job openings 2025, by industry

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). U.S. monthly job openings 2025, by industry [Dataset]. https://www.statista.com/statistics/872834/monthly-job-openings-in-the-united-states-by-industry/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    United States
    Description

    On the last business day of April 2025, there were about **** million job openings in the professional and business services industry in the United States, the highest number of job openings after the private education and health services industries. The mining and logging industry, however, had about ****** job openings during the same month. The data is seasonally adjusted.

  4. AI and ML Job Listings USA

    • kaggle.com
    Updated Jun 2, 2024
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    Kanchana1990 (2024). AI and ML Job Listings USA [Dataset]. http://doi.org/10.34740/kaggle/dsv/8588840
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 2, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Kanchana1990
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Dataset Overview

    The "AI and ML Job Listings USA" dataset provides a comprehensive collection of job postings in the field of Artificial Intelligence (AI) and Machine Learning (ML) across the United States. The dataset includes job listings from 2022 to 2024, capturing the evolving landscape of AI/ML job opportunities. This dataset is valuable for researchers, job seekers, and data scientists interested in understanding trends, demands, and opportunities in the AI/ML job market.

    Data Science Applications

    This dataset can be utilized for various data science applications, including: - Trend Analysis: Identifying trends in job titles, locations, and required skills over time. - Demand Forecasting: Predicting future demand for AI/ML roles based on historical data. - Skills Gap Analysis: Analyzing the skills and experience levels in demand versus the available workforce. - Geospatial Analysis: Mapping job opportunities across different regions in the USA. - Salary Prediction: Developing models to predict salaries based on job descriptions and other attributes. Some job descriptions include salary information, which can be identified by exploring the 'description' column for mentions of compensation, pay, or salary-related terms.

    Column Descriptors

    1. title: The job title (e.g., AI/ML Engineer).
    2. location: The location of the job (e.g., New York, NY).
    3. publishedAt: The date the job was published (e.g., 2024-05-29).
    4. companyName: The name of the company offering the job (e.g., Wesper).
    5. description: A detailed description of the job (e.g., responsibilities, qualifications, and sometimes salary information).
    6. applicationsCount: The number of applications received (e.g., Over 200 applicants).
    7. contractType: The type of contract (e.g., Full-time).
    8. experienceLevel: The level of experience required (e.g., Mid-Senior level).
    9. workType: The type of work (e.g., Engineering and Information Technology).
    10. sector: The industry sector of the job (e.g., Internet Publishing).

    Ethically Mined Data

    This dataset has been ethically mined using an API, ensuring no private information has been revealed. Sensitive data, such as the recruiter name, has been removed to protect privacy and comply with ethical standards.

    Acknowledgments

    • LinkedIn: For providing the platform where these job listings were originally posted.
    • DALL·E 3: For generating the thumbnail image used for this dataset.

    This dataset provides a rich resource for analyzing and understanding the AI and ML job market in the USA, offering insights into job trends, requirements, and opportunities in this rapidly growing field.

  5. United States JOLTS: Job Openings Rates: sa: NF: Government

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States JOLTS: Job Openings Rates: sa: NF: Government [Dataset]. https://www.ceicdata.com/en/united-states/job-openings-and-labor-turnover-survey-job-openings-rate/jolts-job-openings-rates-sa-nf-government
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Job Market Indicators
    Description

    United States JOLTS: Job Openings Rates: sa: NF: Government data was reported at 2.600 % in May 2018. This records an increase from the previous number of 2.500 % for Apr 2018. United States JOLTS: Job Openings Rates: sa: NF: Government data is updated monthly, averaging 1.800 % from Dec 2000 (Median) to May 2018, with 210 observations. The data reached an all-time high of 2.800 % in Apr 2010 and a record low of 1.200 % in Sep 2009. United States JOLTS: Job Openings Rates: sa: NF: Government data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G050: Job Openings and Labor Turnover Survey: Job Openings Rate.

  6. F

    Job Openings: Government

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
    + more versions
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    (2025). Job Openings: Government [Dataset]. https://fred.stlouisfed.org/series/JTS9000JOL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 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 Job Openings: Government (JTS9000JOL) from Dec 2000 to May 2025 about job openings, vacancy, government, and USA.

  7. d

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

    • catalog.data.gov
    • data.ct.gov
    • +2more
    Updated Aug 9, 2024
    + more versions
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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.

  8. 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.

  9. F

    Multiple Jobholders as a Percent of Employed

    • fred.stlouisfed.org
    json
    Updated Jul 3, 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
    Jul 3, 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 Jun 2025 about multiple jobholders, 16 years +, percent, household survey, employment, and USA.

  10. U.S. users altering social media accounts due to job search reasons 2018

    • statista.com
    Updated Feb 29, 2024
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    Stacy Jo Dixon (2024). U.S. users altering social media accounts due to job search reasons 2018 [Dataset]. https://www.statista.com/topics/2727/online-recruiting/
    Explore at:
    Dataset updated
    Feb 29, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    This statistic presents the share of social media users in the United States who have altered their social media accounts due to applying for a job. According to the September 2018 findings, 18 percent of respondents stated to have altered their social media account when applying for a job, however, 82 percent of respondents reported not having done so.

  11. U.S. leading tools used by college seniors to search for jobs 2020

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. leading tools used by college seniors to search for jobs 2020 [Dataset]. https://www.statista.com/statistics/1052785/leading-tools-used-college-seniors-search-jobs-us/
    Explore at:
    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 10, 2020 - Mar 23, 2020
    Area covered
    United States
    Description

    In 2020, the most popular way college seniors looked for jobs tied between Google and social media/job boards hybrids (such as linked in). That year, 64 percent of college seniors in the United States said that they used these two tools to search for jobs.

  12. United States JOLTS: Job Openings: NF: PR: TT: Retail Trade

    • ceicdata.com
    + more versions
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    CEICdata.com, United States JOLTS: Job Openings: NF: PR: TT: Retail Trade [Dataset]. https://www.ceicdata.com/en/united-states/job-openings-and-labor-turnover-survey-job-openings/jolts-job-openings-nf-pr-tt-retail-trade
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Job Market Indicators
    Description

    United States JOLTS: Job Openings: NF: PR: TT: Retail Trade data was reported at 863.000 Unit th in Sep 2018. This records an increase from the previous number of 802.000 Unit th for Aug 2018. United States JOLTS: Job Openings: NF: PR: TT: Retail Trade data is updated monthly, averaging 408.500 Unit th from Dec 2000 (Median) to Sep 2018, with 214 observations. The data reached an all-time high of 863.000 Unit th in Sep 2018 and a record low of 153.000 Unit th in Dec 2009. United States JOLTS: Job Openings: NF: PR: TT: Retail Trade data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G049: Job Openings and Labor Turnover Survey: Job Openings.

  13. F

    Infra-Annual Registered Unemployment and Job Vacancies: Total Economy:...

    • fred.stlouisfed.org
    json
    Updated Apr 10, 2024
    + more versions
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    (2024). Infra-Annual Registered Unemployment and Job Vacancies: Total Economy: Unfilled Vacancies for United States [Dataset]. https://fred.stlouisfed.org/series/LMJVTTUVUSQ647S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 10, 2024
    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 Registered Unemployment and Job Vacancies: Total Economy: Unfilled Vacancies for United States (LMJVTTUVUSQ647S) from Q1 2001 to Q4 2023 about job openings, jobs, vacancy, and USA.

  14. F

    Quits: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
    + more versions
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    (2025). Quits: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSQUR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 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 Quits: Total Nonfarm (JTSQUR) from Dec 2000 to May 2025 about quits, nonfarm, and USA.

  15. F

    Hires: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
    + more versions
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    (2025). Hires: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSHIL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 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 Hires: Total Nonfarm (JTSHIL) from Dec 2000 to May 2025 about hires, nonfarm, and USA.

  16. F

    Software Development Job Postings on Indeed in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 1, 2025
    + more versions
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    (2025). Software Development Job Postings on Indeed in the United States [Dataset]. https://fred.stlouisfed.org/series/IHLIDXUSTPSOFTDEVE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    United States
    Description

    Graph and download economic data for Software Development Job Postings on Indeed in the United States (IHLIDXUSTPSOFTDEVE) from 2020-02-01 to 2025-06-27 about software, jobs, and USA.

  17. T

    United States Part Time Employment

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Part Time Employment [Dataset]. https://tradingeconomics.com/united-states/part-time-employment
    Explore at:
    csv, excel, 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

    Part Time Employment in the United States decreased to 28190 Thousand in June from 28557 Thousand in May of 2025. This dataset provides - United States Part Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. Average amount of time spent weekly by U.S. students on job search in 2017

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Average amount of time spent weekly by U.S. students on job search in 2017 [Dataset]. https://www.statista.com/statistics/732452/average-time-spent-weekly-by-students-on-job-search-activities-us/
    Explore at:
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    United States
    Description

    This statistic shows the average amount of time that students spent weekly on job search activities in the United States in 2017. In 2017, about 43 percent of American students said that they were not actively searching for a post-graduation job at the time of survey.

  19. F

    All Employees, Federal

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
    + more versions
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    (2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 3, 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, Federal (CES9091000001) from Jan 1939 to Jun 2025 about establishment survey, federal, government, employment, and USA.

  20. T

    United States Challenger Job Cuts

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 1, 2025
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    TRADING ECONOMICS (2025). United States Challenger Job Cuts [Dataset]. https://tradingeconomics.com/united-states/challenger-job-cuts
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    May 1, 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, 1994 - Jun 30, 2025
    Area covered
    United States
    Description

    Challenger Job Cuts in the United States decreased to 47999 Persons in June from 93816 Persons in May of 2025. This dataset provides the latest reported value for - United States Challenger Job Cuts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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National Center for O*NET Development (2025). O*NET Database [Dataset]. https://www.onetcenter.org/database.html
Organization logo

O*NET Database

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190 scholarly articles cite this dataset (View in Google Scholar)
oracle, sql server, text, mysql, excelAvailable download formats
Dataset updated
May 20, 2025
Dataset provided by
Occupational Information Network
License

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

Area covered
United States
Dataset funded by
US Department of Labor, Employment and Training Administration
Description

The O*NET Database contains hundreds of standardized and occupation-specific descriptors on almost 1,000 occupations covering the entire U.S. economy. The database, which is available to the public at no cost, is continually updated by a multi-method data collection program. Sources of data include: job incumbents, occupational experts, occupational analysts, employer job postings, and customer/professional association input.

Data content areas include:

  • Worker Characteristics (e.g., Abilities, Interests, Work Styles)
  • Worker Requirements (e.g., Education, Knowledge, Skills)
  • Experience Requirements (e.g., On-the-Job Training, Work Experience)
  • Occupational Requirements (e.g., Detailed Work Activities, Work Context)
  • Occupation-Specific Information (e.g., Job Titles, Tasks, Technology Skills)

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