15 datasets found
  1. USA Bureau of Labor Statistics

    • kaggle.com
    zip
    Updated Aug 30, 2019
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    US Bureau of Labor Statistics (2019). USA Bureau of Labor Statistics [Dataset]. https://www.kaggle.com/bls/bls
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    zip(0 bytes)Available download formats
    Dataset updated
    Aug 30, 2019
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Authors
    US Bureau of Labor Statistics
    License

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

    Description

    Context

    The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

    Content

    Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

    Update Frequency: Monthly

    Querying BigQuery Tables

    Fork this kernel to get started.

    Acknowledgements

    https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

    https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

    Dataset Source: http://www.bls.gov/data/

    This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

    Banner Photo by Clark Young from Unsplash.

    Inspiration

    What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

  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/
    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. F

    Unemployment Rate in Cumberland, MD-WV (MSA)

    • fred.stlouisfed.org
    json
    Updated Feb 5, 2025
    + more versions
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    (2025). Unemployment Rate in Cumberland, MD-WV (MSA) [Dataset]. https://fred.stlouisfed.org/series/CUMB024URN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 5, 2025
    License

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

    Area covered
    Cumberland, MD-WV, Maryland, West Virginia
    Description

    Graph and download economic data for Unemployment Rate in Cumberland, MD-WV (MSA) (CUMB024URN) from Jan 1990 to Dec 2024 about Cumberland, WV, MD, unemployment, rate, and USA.

  4. JOLTs Job Openings

    • tipranks.com
    Updated Sep 3, 2025
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    TipRanks (2025). JOLTs Job Openings [Dataset]. https://www.tipranks.com/calendars/economic/jolts-job-openings-5369
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    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Area covered
    us
    Description

    The JOLTs (Job Openings and Labor Turnover Survey) report is a monthly economic indicator released by the U.S. Bureau of Labor Statistics that measures job vacancies, hires, and separations in the U.S. labor market.

  5. Earnings of females and males employees.

    • kaggle.com
    zip
    Updated Sep 5, 2019
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    Marília Prata (2019). Earnings of females and males employees. [Dataset]. https://www.kaggle.com/datasets/mpwolke/cusersmarildownloadsearningcsv
    Explore at:
    zip(1318 bytes)Available download formats
    Dataset updated
    Sep 5, 2019
    Authors
    Marília Prata
    Description

    Context

    The Bureau of Labor Statistics reported that, in 2013, female full-time workers had median weekly earnings of $706, compared to men's median weekly earnings of $860. Women aged 35 years and older earned 74% to 80% of the earnings of their male counterparts. https://en.wikipedia.org › wiki › Gender_pay_gap_in_the_United_States

    Content

    What is the gender pay gap 2019? Study after study has identified a persistent gender pay gap. A PayScale report found that women still make only $0.79 for each dollar men make in 2019. A Bureau of Labor Statistics (BLS) analysis discovered that in 2018, median weekly earnings for female full-time wage and salary workers was 81% of men's earnings.Jul 11, 2019 https://www.forbes.com/sites/shaharziv/2019/07/11/gender-pay-gap-bigger-than-you-thnk/#36ca335f7d8a.

    Acknowledgements

    Linked through data.gov.au for discoverability and availability. This dataset was originally found on data.gov.au https://data.gov.au/data/dataset/a5776c56-bdde-4643-a3fd-dcc2775d7d7a ***Photo by Samantha Sophia on Unsplash.

    Inspiration

    Great females scientists: Mileva Maric', Frances "Poppy" Northcut, Hedy Lamarr, Marie Sklodowska Curie and Ada Lovelace. If you don't know them yet, just search on Google.

  6. Number of people finding jobs through the public employment agency Japan...

    • statista.com
    Updated Sep 2, 2025
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    Statista (2025). Number of people finding jobs through the public employment agency Japan 2015-2024 [Dataset]. https://www.statista.com/statistics/1297825/japan-number-public-employment-agency-placements/
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    Dataset updated
    Sep 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2024, the number of people finding employment in Japan via Hello Work, Japan's public employment agency, amounted to approximately *******, which marks an increase from the previous year. Following finding work via job ads, Hello Work was one of the most common methods used for landing a job in Japan.

  7. Labor market data, 2006 and 2008 (Dutch only)

    • cbs.nl
    xls?sc_lang=en-gb
    Updated Mar 17, 2011
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    Centraal Bureau voor de Statistiek (2011). Labor market data, 2006 and 2008 (Dutch only) [Dataset]. https://www.cbs.nl/en-gb/custom/2011/11/labor-market-data-2006-and-2008--dutch-only--
    Explore at:
    xls?sc_lang=en-gbAvailable download formats
    Dataset updated
    Mar 17, 2011
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    Labor market data, 2006 and 2008 (Dutch only)

    Commissioned by the Ministry of Social Affairs and Employment, the Centre for Policy Related Statistics of Statistics Netherlands has compiled data on the labour market position of all persons in the Netherlands aged 15-64 years on 27 January 2006, and on how this had changed on 31 December 2008. These tables are the result of the first stage of this project.

  8. Broadway Weekly Grosses

    • kaggle.com
    zip
    Updated Apr 29, 2020
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    Jesse Mostipak (2020). Broadway Weekly Grosses [Dataset]. https://www.kaggle.com/jessemostipak/broadway-weekly-grosses
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    zip(1149871 bytes)Available download formats
    Dataset updated
    Apr 29, 2020
    Authors
    Jesse Mostipak
    Description

    Context

    #TidyTuesday is a weekly data project aimed at the R ecosystem. As this project was borne out of the R4DS Online Learning Community and the R for Data Science textbook, an emphasis was placed on understanding how to summarize and arrange data to make meaningful charts with ggplot2, tidyr, dplyr, and other tools in the tidyverse ecosystem. However, any code-based methodology is welcome - just please remember to share the code used to generate the results.

    Content

    This data comes from Playbill. Weekly box office grosses comprise data on revenue and attendance figures for theatres that are part of The Broadway League, an industry association for, you guessed it, Broadway theatre.

    CPI data is from the U.S. Bureau of Labor Statistics. There are many, many measures of CPI, so the one used here is "All items less food and energy in U.S. city average, all urban consumers, seasonally adjusted" (table CUSR0000SA0L1E).

    Acknowledgements

    Huge thanks to Alex Cookson who provided ALL of this week's data, cleaning script, and readme! You can check out his recent blog post on the same data here, and explore all of the raw data and other details on Alex's GitHub.

  9. Monthly labour participation and unemployment

    • cbs.nl
    xml
    Updated Sep 18, 2025
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    Centraal Bureau voor de Statistiek (2025). Monthly labour participation and unemployment [Dataset]. https://www.cbs.nl/en-gb/figures/detail/80590eng
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Sep 18, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table contains monthly, quarterly and yearly figures on the labour participation and unemployment in the Netherlands. The population of 15 to 75 years old (excluding the institutionalized population) is divided into the employed, the unemployed and the people who are not in in the labour force. The different groups are further broken down by sex and age. Next to the original monthly figures on the labour force you can also find monthly figures that are seasonally adjusted.

    Data available from: January 2003

    Status of the figures: The figures in this table are final.

    Changes as of 18 September 2025: The figures for August 2025 have been added

    When will new figures be published? New figures on the most recent month are published monthly, in the third week of the month.

  10. Centraal Bureau voor de Statistiek

    • data.wu.ac.at
    atom feed, json
    Updated Feb 28, 2018
    + more versions
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    Centraal Bureau voor de Statistiek (2018). Centraal Bureau voor de Statistiek [Dataset]. https://data.wu.ac.at/schema/data_overheid_nl/Y2YyNzc3NjEtY2U3Yy00MGNhLTg1MTMtNTgyOWQ4N2NiY2Iw
    Explore at:
    json, atom feedAvailable download formats
    Dataset updated
    Feb 28, 2018
    Dataset provided by
    Statistics Netherlands
    License

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

    Area covered
    7dcacecb4976ce7038cf6bc0fe70e4e80adfdaf6
    Description

    This table provides information on turnover developments in the Temporary employment sector (SIC 2008 code 78). The data can be divided by a number of branches according to Statistics Netherlands' Standard Industrial Classification of all Economic Activities 2008 (SIC 2008). Job pool companies (SIC code 78203) are not included in the survey. These companies account for only a very small part (1 percent) of total temporary employment sector (SIC code 78). The results are expressed in index figures with base year 2010. Changes on the same period in the previous year are also published. Data available from 1st quarter 2005. Status of the figures The figures on 2017 are provisional, figures from preceding periods are definite. Changes as of 28 February 2018: Figures of the fourth quarter and the year 2017 have been added and figures of the quarters preceding in 2017 may have been adjusted. When will new figures be published? Statistics Netherlands usually publishes the first results two months after the reporting period. Figures may be updated subsequently as a result of increased response. Five months after the reporting year, all late response is used to compile the definite figures, for all quarters in that reporting year. Until that point, figures are provisional. After that, figures are definite. Once definite figures have been published, Statistics Netherlands only adjusts them if significant corrections are necessary. This table will be replaced by a new table on 16 march 2018 due to the five-yearly change of the base year.

  11. Labour participation; key figures

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Jul 30, 2025
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    Centraal Bureau voor de Statistiek (2025). Labour participation; key figures [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85264ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    2013 - 2025
    Area covered
    The Netherlands
    Description

    This table contains quarterly and yearly figures on labour participation in the Netherlands. The population of 15 to 74 years of age (excluding the institutionalized population) is divided into the employed labour force, the unemployed labour force and those not in the labour force. The employed labour force is subdivided on the basis of the professional status, and the average working hours. A division by sex, age and level of education is available.

    Data available from: 2013

    Status of the figures: The figures in this table are final.

    Changes as of July 30, 2025: The figures for the 2nd quarter 2025 have been added.

    Changes as of November 14, 2024: The figures for 3rd quarter 2024 are added. Figures have been added on labor participation based on whether or not the state pension age has been reached.

    Changes as of August 17, 2022: None, this is a new table. This table has been compiled on the basis of the Labor Force Survey (LFS). Due to changes in the research design and the questionnaire of the LFS, the figures for 2021 are not automatically comparable with the figures up to and including 2020. The key figures in this table have therefore been made consistent with the (non-seasonally adjusted) figures in the table Arbeidsdeelname, kerncijfers seizoengecorrigeerd (see section 4), in which the outcomes for the period 2013-2020 have been recalculated to align with the outcomes from 2021. When further detailing the outcomes according to job and personal characteristics, there may nevertheless be differences from 2020 to 2021 as a result of the new method.

    When will new figures be released? New figures will be published in October 2025.

  12. Employed labour force; economic activity

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Aug 14, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Employed labour force; economic activity [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85272ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Aug 14, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    2013 - 2025
    Area covered
    The Netherlands
    Description

    This table contains quarterly and yearly figures on the economic activities where people work. The population of 15 to 74 years of age (excluding the institutionalized population) in paid employment is classified according to the Standard Industrial Classification (SIC 2008). A division by sex, age, level of education, professional status and working hours is available.

    Data available from: 2013

    Status of the figures: The figures in this table are final.

    Changes as of August 14, 2025: The figures for the 2nd quarter 2025 have been added.

    Changes as of November 15, 2022: In the previous version, the self-employed variable was not published in the personal characteristics dimension for employment status. This has been added in this version.

    Changes as of August 17, 2022: None, this is a new table. This table has been compiled on the basis of the Labor Force Survey (LFS). Due to changes in the research design and the questionnaire of the LFS, the figures for 2021 are not automatically comparable with the figures up to and including 2020. The key figures in this table have therefore been made consistent with the (non-seasonally adjusted) figures in the table Arbeidsdeelname, kerncijfers seizoengecorrigeerd (see section 4), in which the outcomes for the period 2013-2020 have been recalculated to align with the outcomes from 2021. When further detailing the outcomes according to job and personal characteristics, there may nevertheless be differences from 2020 to 2021 as a result of the new method.

    When will new figures be released? New figures will be published in November 2025.

  13. Employment; jobs, wages, working hours, SIC2008; key figures

    • cbs.nl
    • ckan.mobidatalab.eu
    • +1more
    xml
    Updated Apr 28, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Employment; jobs, wages, working hours, SIC2008; key figures [Dataset]. https://www.cbs.nl/en-gb/figures/detail/81431ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Time period covered
    2009 - 2024
    Area covered
    The Netherlands
    Description

    This table comprises yearly figures on the main aspects of employment, wages and working hours in the Netherlands. The information in this table is classified according to Standard Industrial Classification of all Economic Activities (SIC 2008) and can be broken down into: - employee characteristics (age and sex) - job characteristics (type of employment contract and working hours) - company characteristics (size of the firm and collective wage agreements)

    Data available from: 2009.

    Status of the figures: Figures for the years 2009 to 2023 are final. Figures for 2024 are provisional.

    Changes as of 28 April 2025: Provisional figures for 2024 are added. The figures for 2024 are excluding the selections: ‘Type of employment contract: full-time’, ‘Type of employment contract: part-time’ for the branche ‘P Education’

    When will new figures be published? The final figures for 2024 will be published in October 2025.

  14. Vacancies; vacancy rate, SIC 2008

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Jul 30, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Vacancies; vacancy rate, SIC 2008 [Dataset]. https://www.cbs.nl/en-gb/figures/detail/80567ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table contains data on the vacancy rate, broken down by: - economic activity according to the Dutch SBI 2008 Standard Industrial Classification; - quarter.

    Data available from: first quarter of 1997.

    Status of the figures: Figures up to and including 2016 are final, figures as of 2017 are provisional and will not become final. This figures are provisional because they are based on the provisional job figures. This enables us to publish the figures as quickly as possible.

    Changes as of 30 July 2025: Figures of the second quarter of 2025 have been added.

    When will new figures be published? Figures of the third quarter of 2025 will be published in October 2025.

  15. Labour price index; index figures 2021=100; National Accounts

    • cbs.nl
    • data.overheid.nl
    xml
    Updated Jul 30, 2025
    + more versions
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    Centraal Bureau voor de Statistiek (2025). Labour price index; index figures 2021=100; National Accounts [Dataset]. https://www.cbs.nl/en-gb/figures/detail/85928ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

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

    Area covered
    The Netherlands
    Description

    This table provides information on labour price developments, i.e. the development of wage costs per hour worked by employees, corrected for changes in the personnel structure. The labor price index divides the total increase in wage costs per hour worked into a price component and a structural effect.

    Data available from: 2001

    Status of the figures: Data from 2001 up to and including 2022 are final. The figures concerning 2023 and 2024 are provisional.

    Changes as of July 30th 2025: Compared to the previous version, the results for the reporting period of the year 2024 have been updated, and the figures for the first quarter of 2025 have been added.

    When will new figures become available? New figures are published three to four months after the end of the reference period.

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US Bureau of Labor Statistics (2019). USA Bureau of Labor Statistics [Dataset]. https://www.kaggle.com/bls/bls
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USA Bureau of Labor Statistics

USA Bureau of Labor Statistics (BigQuery Dataset)

Explore at:
319 scholarly articles cite this dataset (View in Google Scholar)
zip(0 bytes)Available download formats
Dataset updated
Aug 30, 2019
Dataset provided by
Bureau of Labor Statisticshttp://www.bls.gov/
Authors
US Bureau of Labor Statistics
License

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

Description

Context

The Bureau of Labor Statistics (BLS) is a unit of the United States Department of Labor. It is the principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics and serves as a principal agency of the U.S. Federal Statistical System. The BLS is a governmental statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the U.S. Congress, other Federal agencies, State and local governments, business, and labor representatives. Source: https://en.wikipedia.org/wiki/Bureau_of_Labor_Statistics

Content

Bureau of Labor Statistics including CPI (inflation), employment, unemployment, and wage data.

Update Frequency: Monthly

Querying BigQuery Tables

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:bls

https://cloud.google.com/bigquery/public-data/bureau-of-labor-statistics

Dataset Source: http://www.bls.gov/data/

This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by Clark Young from Unsplash.

Inspiration

What is the average annual inflation across all US Cities? What was the monthly unemployment rate (U3) in 2016? What are the top 10 hourly-waged types of work in Pittsburgh, PA for 2016?

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