14 datasets found
  1. t

    Non Farm Payrolls Annual Revision-2025-09-09

    • tipranks.com
    Updated Sep 9, 2025
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    (2025). Non Farm Payrolls Annual Revision-2025-09-09 [Dataset]. https://www.tipranks.com/calendars/economic/non-farm-payrolls-annual-revision-9567
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    Dataset updated
    Sep 9, 2025
    Variables measured
    Actual, Forecast
    Description

    The 'Non-Farm Payrolls Annual Revision' in the USA is an adjustment made to employment data collected by the Bureau of Labor Statistics, reflecting updated information from more comprehensive sources like unemployment insurance tax records.-2025-09-09

  2. Non Farm Payrolls Annual Revision

    • tipranks.com
    Updated Sep 9, 2025
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    TipRanks (2025). Non Farm Payrolls Annual Revision [Dataset]. https://www.tipranks.com/calendars/economic/non-farm-payrolls-annual-revision-9567
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    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Time period covered
    Aug 21, 2024 - Sep 9, 2025
    Area covered
    us
    Description

    The 'Non-Farm Payrolls Annual Revision' in the USA is an adjustment made to employment data collected by the Bureau of Labor Statistics, reflecting updated information from more comprehensive sources like unemployment insurance tax records.

  3. t

    Non Farm Payrolls Annual Revision-2024-08-21

    • tipranks.com
    Updated Aug 21, 2024
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    (2024). Non Farm Payrolls Annual Revision-2024-08-21 [Dataset]. https://www.tipranks.com/calendars/economic/non-farm-payrolls-annual-revision-9567
    Explore at:
    Dataset updated
    Aug 21, 2024
    Variables measured
    Actual, Forecast
    Description

    The 'Non-Farm Payrolls Annual Revision' in the USA is an adjustment made to employment data collected by the Bureau of Labor Statistics, reflecting updated information from more comprehensive sources like unemployment insurance tax records.-2024-08-21

  4. T

    United States Non Farm Payrolls

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 20, 2025
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    TRADING ECONOMICS (2025). United States Non Farm Payrolls [Dataset]. https://tradingeconomics.com/united-states/non-farm-payrolls
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    Nov 20, 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, 1939 - Sep 30, 2025
    Area covered
    United States
    Description

    Non Farm Payrolls in the United States increased by 119 thousand in September of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. U.S. monthly change in nonfarm payroll employment 2022-2025

    • statista.com
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    Statista, U.S. monthly change in nonfarm payroll employment 2022-2025 [Dataset]. https://www.statista.com/statistics/217417/monthly-change-in-nonfarm-payroll-employment-in-the-us/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2022 - Aug 2025
    Area covered
    United States
    Description

    In August 2025, the total nonfarm payroll employment increased by around 22,000 people in the United States. The data are seasonally adjusted. According to the BLS, the data is derived from the Current Employment Statistics (CES) program which surveys about 140,000 businesses and government agencies each month, representing approximately 440,000 individual worksites, in order to provide detailed industry data on employment.

  6. T

    United States Nonfarm Payrolls - Private

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 20, 2025
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    TRADING ECONOMICS (2025). United States Nonfarm Payrolls - Private [Dataset]. https://tradingeconomics.com/united-states/nonfarm-payrolls-private
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Nov 20, 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, 1939 - Sep 30, 2025
    Area covered
    United States
    Description

    Nonfarm Payrolls Private in the United States increased by 97 thousand in September of 2025. This dataset provides the latest reported value for - United States Nonfarm Payrolls - Private - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. y

    US Nonfarm Payrolls MoM

    • ycharts.com
    html
    Updated Sep 5, 2025
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    Bureau of Labor Statistics (2025). US Nonfarm Payrolls MoM [Dataset]. https://ycharts.com/indicators/us_nonfarm_payrolls_mom
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    htmlAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset provided by
    YCharts
    Authors
    Bureau of Labor Statistics
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Feb 28, 1939 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Nonfarm Payrolls MoM
    Description

    View monthly updates and historical trends for US Nonfarm Payrolls MoM. from United States. Source: Bureau of Labor Statistics. Track economic data with Y…

  8. T

    United States ADP Employment Change

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 5, 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
    Nov 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 28, 2010 - Oct 31, 2025
    Area covered
    United States
    Description

    Private businesses in the United States hired 42 thousand workers in October of 2025 compared to -29 thousand in September 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.

  9. National Employment, Hours, and Earnings

    • kaggle.com
    zip
    Updated Jun 28, 2017
    + more versions
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    US Bureau of Labor Statistics (2017). National Employment, Hours, and Earnings [Dataset]. https://www.kaggle.com/bls/employment
    Explore at:
    zip(82421801 bytes)Available download formats
    Dataset updated
    Jun 28, 2017
    Dataset authored and provided by
    US Bureau of Labor Statistics
    License

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

    Description

    Context:

    The Current Employment Statistics (CES) program provides estimates of employment, hours, and earnings information on a national basis and in considerable industry detail. The Bureau of Labor Statistics collects payroll data each month from a sample of business and government establishments in all nonfarm activities.

    Employment data include series for total employment, number of women employees, and number of production or nonsupervisory employees. Estimates of average hourly earnings, average weekly hours, average weekly earnings, and average weekly overtime hours are produced for both all employees and for production or nonsupervisory employees. Overtime hours are produced for manufacturing industries only.

    A sample of approximately 147,000 businesses and government agencies representing approximately 634,000 worksites throughout the United States is utilized for this monthly survey. The sample contains about 300,000 employer units.

    All employment, hours and earnings series are classified according to the 2012 North American Industry Classification System (NAICS). The industry code used in the survey corresponds to the NAICS code, except in those cases where multiple industries have been combined.

    Content:

    Please refer to ce.txt for a description of how to parse and use the unique identifiers.

    This dataset was collected on June 27th, 2017 and may not be up-to-date.

    Summary of Data Available: For all employees, women employees, and production or nonsupervisory employees, CES publishes about 4,300 monthly series. The series for all employees cover more than 900 industries on both a seasonally adjusted and not seasonally adjusted basis.

    For private-sector industries, nearly 7,500 series are published each month for average weekly earnings, average hourly earnings, average weekly hours, and, in manufacturing, average weekly overtime hours. Hours and earnings data for all employees are available for about 620 industries and for production or nonsupervisory employees about 550 industries.

    From the employment, hours, and earnings series, CES produces about 7,500 derivative series, such as indexes and real earnings series.

    Most employment series begin in 1990, although some series, including industry supersectors, are available from 1939. Supersectors include: mining and logging; construction; manufacturing; trade, transportation, and utilities; information; financial activities; professional and business services, education and health services; leisure and hospitality, other services, and government.

    Frequency of Observations: Data series are monthly in most cases; quarterly averages are available for total employment, average weekly hours, and average overtime hours, seasonally adjusted (datatypes 19, 20, 25, 36, and 37).

    Annual averages are available for all series that are not adjusted for seasonality (except for the 12-month diffusion index series).

    Data Characteristics: Earnings are measured in dollars and are published to the nearest cent (two decimal places). Average weekly and overtime hours are measured in hours and are published to the nearest tenth of an hour (one decimal place).

    Employment is measured in thousands of workers and is stored with no decimal place for all supersectors and for both durable goods and nondurable goods in manufacturing. Employment for all other industries are stored to one decimal place.

    Special characteristics of the data are footnoted where necessary. For example; I indicates that the seasonally adjusted series is independently seasonally adjusted and not used in aggregating to higher summary industries. For all employees, higher summary series, such as total nonfarm, are aggregated up from the 3-digit NAICS level.

    Each year with the release of January estimates in February, CES data are re-anchored to universe counts of nonfarm employment or benchmarks for the most recent March. For example, CES introduced March 2016 benchmark counts with the release of January 2017 first preliminary estimates in February 2017. On a not seasonally adjusted basis, all series are subject to revision back to the prior year’s benchmarked data (21 mon...

  10. F

    Job Openings: Total Nonfarm

    • fred.stlouisfed.org
    json
    Updated Sep 30, 2025
    + more versions
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    (2025). Job Openings: Total Nonfarm [Dataset]. https://fred.stlouisfed.org/series/JTSJOL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 30, 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: Total Nonfarm (JTSJOL) from Dec 2000 to Aug 2025 about job openings, vacancy, nonfarm, and USA.

  11. g

    Current Population Survey: Annual Social and Economic (ASEC) Supplement...

    • search.gesis.org
    Updated May 7, 2021
    + more versions
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    ICPSR - Interuniversity Consortium for Political and Social Research (2021). Current Population Survey: Annual Social and Economic (ASEC) Supplement Survey, 2007 - Archival Version [Dataset]. http://doi.org/10.3886/ICPSR21321
    Explore at:
    Dataset updated
    May 7, 2021
    Dataset provided by
    GESIS search
    ICPSR - Interuniversity Consortium for Political and Social Research
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447211https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de447211

    Description

    Abstract (en): This data collection is comprised of data from the 2007 Annual Social and Economic Supplement (ASEC), and is a part of the Current Population Survey (CPS) Series. The Census Bureau conducts the ASEC (known as the Annual Demographic File prior to 2003) over a three-month period, in February, March, and April, with most of the data collected in the month of March. The ASEC uses two sets of survey questions, the basic CPS and a set of supplemental questions.The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.In addition to the basic CPS questions, respondents were asked questions from the ASEC, which provides supplemental data on poverty, geographic mobility/migration, and work experience. Comprehensive work experience information was given on the employment status, occupation, and industry of persons aged 15 and over. Additional data for persons aged 15 and older were available concerning weeks worked and hours per week worked, reason not working full time, total income and supplemental income components. Additional data are included that cover training and assistance received under welfare reform programs such as job readiness training, child care services, or job skill training. Data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance are also included.Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the previous calendar year, although demographic data refer to the time of the survey.The original ASEC data provided by the Census Bureau are distributed in a hierarchical file structure, with three record types present: Household, Family, and Person. The ASEC is designed to be a multistage stratified sample of housing units, where the hierarchical file structure can be thought of as a person within a family within a household unit. Here the main unit of analysis is the household unit. For ease of analysis at the person-level, ICPSR created a rectangular file structure that contains a record for every person with the respective Household and Family variables prepended to the Person variables. Part 1 contains the rectangular data file and Part 2 contains the original hierarchical data file. The data contain five weight variables: Basic CPS earnings weight, A_ERNLWT; Basic CPS final weight, A_FNLWGT; March supplement Household weight, HSUP_WGT; March supplement Family weight, FSUP_WGT; ASEC supplement Person weight, MARSUPWT; Users are strongly encouraged to refer to the User Guide for detailed information on how to use the weights, as well as how they were derived. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. The civilian noninstitutional population of the United States living in housing units, and members of the Armed Forces living in civilian housing units on a military base or in a household not on a military base. A multistage probability sample was used for the housing unit. The sample was based on the results of the decennial Census, with coverage in all 50 states and the District of Columbia. More detailed information about the sampling frame can be found in the User Guide. computer-assisted personal interview (CAPI), computer-assisted telephone interview (CATI)ICPSR used syntax created by Jean Roth and the National Bureau of Economic Research (NBER) to read in the data for Part 1.The data in Part 2 are distributed exactly as they arrived from the data depositor. ICPSR...

  12. F

    Average Hourly Earnings of All Employees, Total Private

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
    + more versions
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    (2025). Average Hourly Earnings of All Employees, Total Private [Dataset]. https://fred.stlouisfed.org/series/CES0500000003
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 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 (CES0500000003) from Mar 2006 to Sep 2025 about earnings, average, establishment survey, hours, wages, private, employment, and USA.

  13. F

    All Employees, Temporary Help Services

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
    + more versions
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    (2025). All Employees, Temporary Help Services [Dataset]. https://fred.stlouisfed.org/series/TEMPHELPS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 20, 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, Temporary Help Services (TEMPHELPS) from Jan 1990 to Sep 2025 about temporary help, professional, establishment survey, business, services, and USA.

  14. T

    United States Average Weekly Hours

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Nov 20, 2025
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    TRADING ECONOMICS (2025). United States Average Weekly Hours [Dataset]. https://tradingeconomics.com/united-states/average-weekly-hours
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Nov 20, 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
    Mar 31, 2006 - Sep 30, 2025
    Area covered
    United States
    Description

    Average Weekly Hours in the United States remained unchanged at 34.20 Hours in September. This dataset provides - United States Average Weekly Hours - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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    Learn how you can add new datasets to our index.

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(2025). Non Farm Payrolls Annual Revision-2025-09-09 [Dataset]. https://www.tipranks.com/calendars/economic/non-farm-payrolls-annual-revision-9567

Non Farm Payrolls Annual Revision-2025-09-09

Explore at:
Dataset updated
Sep 9, 2025
Variables measured
Actual, Forecast
Description

The 'Non-Farm Payrolls Annual Revision' in the USA is an adjustment made to employment data collected by the Bureau of Labor Statistics, reflecting updated information from more comprehensive sources like unemployment insurance tax records.-2025-09-09

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