100+ 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
    Explore at:
    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. F

    Employed full time: Wage and salary workers: Economists occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Economists occupations: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LEU0254481400A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Economists occupations: 16 years and over (LEU0254481400A) from 2000 to 2024 about occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  3. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 1, 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
    Aug 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, 1948 - Jul 31, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States increased to 4.20 percent in July from 4.10 percent in June 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.

  4. F

    Employed full time: Wage and salary workers: Economists occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
    + more versions
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    (2025). Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254588200A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Men (LEU0254588200A) from 2000 to 2024 about occupation, full-time, males, salaries, workers, 16 years +, wages, employment, and USA.

  5. F

    Employed full time: Wage and salary workers: Economists occupations: 16...

    • fred.stlouisfed.org
    json
    Updated Jan 22, 2025
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    (2025). Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254695000A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 22, 2025
    License

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

    Description

    Graph and download economic data for Employed full time: Wage and salary workers: Economists occupations: 16 years and over: Women (LEU0254695000A) from 2000 to 2024 about occupation, females, full-time, salaries, workers, 16 years +, wages, employment, and USA.

  6. m

    Replication package for "Not all leisure is created equal: Income-induced...

    • data.mendeley.com
    Updated Feb 4, 2025
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    Leila Gautham (2025). Replication package for "Not all leisure is created equal: Income-induced constraints on the enjoyment of leisure" [Dataset]. http://doi.org/10.17632/dktb4jmgrg.1
    Explore at:
    Dataset updated
    Feb 4, 2025
    Authors
    Leila Gautham
    License

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

    Description

    Replication package for "Not all leisure is created equal: Income-induced constraints on the enjoyment of leisure." This package uses American Time Use Survey data made publicly available by the U.S. Bureau of Labor Statistics at https://www.bls.gov/tus/data.htm (see README file for specific files used). We use this data to show that income enhances enjoyment during leisure activities. Our results also examine the mechanisms underlying this positive relationship. The full paper is available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4896455

  7. T

    United States Employment Rate

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

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

    Time period covered
    Jan 31, 1948 - Jul 31, 2025
    Area covered
    United States
    Description

    Employment Rate in the United States decreased to 59.60 percent in July from 59.70 percent in June of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  8. U.S. seasonally adjusted unemployment rate 2023-2025

    • statista.com
    Updated Mar 11, 2025
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    Statista (2025). U.S. seasonally adjusted unemployment rate 2023-2025 [Dataset]. https://www.statista.com/statistics/273909/seasonally-adjusted-monthly-unemployment-rate-in-the-us/
    Explore at:
    Dataset updated
    Mar 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2023 - Feb 2025
    Area covered
    United States
    Description

    The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In February 2025, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends. U.S. monthly unemployment rate According to the Bureau of Labor Statistics - the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics - unemployment decreased dramatically between 2010 and 2019. This trend of decreasing unemployment followed after a high in 2010 resulting from the 2008 financial crisis. However, after a smaller financial crisis due to the COVID-19 pandemic, unemployment reached 8.1 percent in 2020. As the economy recovered, the unemployment rate fell to 5.3 in 2021, and fell even further in 2022. Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In November 2023, the states with the highest (seasonally adjusted) unemployment rate were the Nevada and the District of Columbia. Unemployment was the lowest in Maryland, at 1.8 percent. Workers in the agricultural and related industries suffered the highest unemployment rate of any industry at seven percent in December 2023.

  9. US Consumer Price Index and Inflation (CPI)

    • kaggle.com
    Updated Apr 7, 2021
    + more versions
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    Bojan Tunguz (2021). US Consumer Price Index and Inflation (CPI) [Dataset]. https://www.kaggle.com/tunguz/us-consumer-price-index-and-inflation-cpi/tasks
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 7, 2021
    Dataset provided by
    Kaggle
    Authors
    Bojan Tunguz
    License

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

    Area covered
    United States
    Description

    Read me

    Consumer Price Index for All Urban Consumers (CPI-U) from U.S. Department Of Labor Bureau of Labor Statistics. This is a monthly time series from January 1913. Values are U.S. city averages for all items and 1982-84=100. Note that there are many price indices and this is only one of them (albeit the most standard and with the longest set of data).

    Data

    Data is sourced from ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.txt and normalized into a CSV.

    License

    This Data Package is made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/

  10. v

    Establishments, employment, wages, and gross domestic product (GDP) for the...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • cmr.earthdata.nasa.gov
    • +1more
    Updated Aug 1, 2025
    + more versions
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    (Point of Contact) (2025). Establishments, employment, wages, and gross domestic product (GDP) for the Economics: National Ocean Watch (ENOW) program from 2005-01-01 to 2012-01-01 (NCEI Accession 0130074) [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/establishments-employment-wages-and-gross-domestic-product-gdp-for-the-economics-national-ocean
    Explore at:
    Dataset updated
    Aug 1, 2025
    Dataset provided by
    (Point of Contact)
    Description

    Economics: National Ocean Watch (ENOW) contains annual time-series data for over 400 coastal counties, 30 coastal states, 8 regions, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP). Nonemployer Statistics for Economics: National Ocean Watch (ENOW NES) contains annual time-series data for over 400 coastal counties, 30 coastal states, and the nation, derived from the United States Census Bureau. ENOW NES data report the number of nonemployer establishments and gross receipts, within the six sectors of the ocean and Great Lakes economy.

  11. T

    Bureau of Labor Statistics Industrialized Countries - Import Price Index:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 29, 2021
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    TRADING ECONOMICS (2021). Bureau of Labor Statistics Industrialized Countries - Import Price Index: Other electrical equipment and component manufacturing for Industrialized Countries [Dataset]. https://tradingeconomics.com/united-states/import-price-index-other-electrical-equipment-and-component-manufacturing-for-industrialized-countries-fed-data.html
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Mar 29, 2021
    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 1, 1976 - Dec 31, 2025
    Area covered
    Bureau Of Labor Statistics Industrialized Countries
    Description

    Bureau of Labor Statistics Industrialized Countries - Import Price Index: Other electrical equipment and component manufacturing for Industrialized Countries was 140.50000 Index 2010=100 in December of 2019, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Industrialized Countries - Import Price Index: Other electrical equipment and component manufacturing for Industrialized Countries reached a record high of 140.50000 in December of 2019 and a record low of 92.60000 in January of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Industrialized Countries - Import Price Index: Other electrical equipment and component manufacturing for Industrialized Countries - last updated from the United States Federal Reserve on July of 2025.

  12. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2015
    + more versions
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    (2015). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over: Men [Dataset]. https://fred.stlouisfed.org/series/LEU0254641600A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2015
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over: Men (LEU0254641600A) from 2000 to 2011 about second quartile, occupation, full-time, males, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  13. National Longitudinal Surveys

    • catalog.data.gov
    • datasets.ai
    Updated May 16, 2022
    + more versions
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    Bureau of Labor Statistics (2022). National Longitudinal Surveys [Dataset]. https://catalog.data.gov/dataset/national-longitudinal-surveys-f1b0f
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset provided by
    Bureau of Labor Statisticshttp://www.bls.gov/
    Description

    The National Longitudinal Surveys (NLS) are a set of surveys designed to gather information at multiple points in time on the labor market activities and other significant life events of several groups of men and women. For more than 4 decades, NLS data have served as an important tool for economists, sociologists, and other researchers. For more information and data visit: https://www.bls.gov/nls/

  14. m

    Mechanical and electrical engineers, factor productivity measures, and firm...

    • data.mendeley.com
    Updated Feb 7, 2024
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    Matteo Caruso (2024). Mechanical and electrical engineers, factor productivity measures, and firm data in US manufacturing industries [Dataset]. http://doi.org/10.17632/bp4bkbpzgn.1
    Explore at:
    Dataset updated
    Feb 7, 2024
    Authors
    Matteo Caruso
    License

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

    Area covered
    United States
    Description

    These datasets merge the information at the 4-digit industry level on the number of mechanical and electrical engineers with the total factor productivity measures, both from the Bureau of Labor Statistics. They are divided into three different datasets as each treated industry needed a different control group. There is also data regarding the status of firms in the industry (number of firms, establishments, firms size, etc.)

  15. F

    Employed full time: Median usual weekly nominal earnings (second quartile):...

    • fred.stlouisfed.org
    json
    Updated Feb 18, 2015
    + more versions
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    (2015). Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over: Women [Dataset]. https://fred.stlouisfed.org/series/LEU0254748400A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Feb 18, 2015
    License

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

    Description

    Graph and download economic data for Employed full time: Median usual weekly nominal earnings (second quartile): Wage and salary workers: Economists occupations: 16 years and over: Women (LEU0254748400A) from 2000 to 2011 about second quartile, occupation, females, full-time, salaries, workers, earnings, 16 years +, wages, median, employment, and USA.

  16. T

    Bureau of Labor Statistics Industrialized Countries - Import Price Index:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 29, 2020
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    TRADING ECONOMICS (2020). Bureau of Labor Statistics Industrialized Countries - Import Price Index: Computer and peripheral equipment manufacturing for Industrialized Countries [Dataset]. https://tradingeconomics.com/united-states/import-price-index-computer-and-peripheral-equipment-manufacturing-for-industrialized-countries-fed-data.html
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Feb 29, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    Bureau Of Labor Statistics Industrialized Countries
    Description

    Bureau of Labor Statistics Industrialized Countries - Import Price Index: Computer and peripheral equipment manufacturing for Industrialized Countries was 91.70000 Index 2010=100 in December of 2020, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Industrialized Countries - Import Price Index: Computer and peripheral equipment manufacturing for Industrialized Countries reached a record high of 100.00000 in July of 2012 and a record low of 89.30000 in November of 2018. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Industrialized Countries - Import Price Index: Computer and peripheral equipment manufacturing for Industrialized Countries - last updated from the United States Federal Reserve on July of 2025.

  17. T

    Bureau of Labor Statistics Industrialized Countries - Import Price Index:...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 23, 2020
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    TRADING ECONOMICS (2020). Bureau of Labor Statistics Industrialized Countries - Import Price Index: Sawmills and wood preservation for Industrialized Countries [Dataset]. https://tradingeconomics.com/united-states/import-price-index-sawmills-and-wood-preservation-for-industrialized-countries-fed-data.html
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Apr 23, 2020
    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 1, 1976 - Dec 31, 2025
    Area covered
    Bureau Of Labor Statistics Industrialized Countries
    Description

    Bureau of Labor Statistics Industrialized Countries - Import Price Index: Sawmills and wood preservation for Industrialized Countries was 188.70000 Index 2010=100 in December of 2020, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Industrialized Countries - Import Price Index: Sawmills and wood preservation for Industrialized Countries reached a record high of 263.30000 in September of 2020 and a record low of 83.00000 in October of 2015. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Industrialized Countries - Import Price Index: Sawmills and wood preservation for Industrialized Countries - last updated from the United States Federal Reserve on July of 2025.

  18. k

    United States Consumer Price Index (CPI)

    • datasource.kapsarc.org
    csv, excel, json
    Updated Jul 29, 2022
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    (2022). United States Consumer Price Index (CPI) [Dataset]. https://datasource.kapsarc.org/explore/dataset/consumer-price-index4/
    Explore at:
    excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 29, 2022
    Area covered
    United States
    Description

    This dataset contains USA Consumer Price Index (not seasonally adjusted). Data from U.S. BUREAU OF LABOR STATISTICS.Follow datasource.kapsarc.org for timely data to advance energy economics research.CPI for All Urban Consumers (CPI-U) selected categories (Top Picks) - Not Seasonally AdjustedBase Period: 1982-84=100Hospital services (DECEMBER 1996=100)

  19. T

    Bureau of Labor Statistics Asian Newly Industrialized Countries - Import...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 13, 2021
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    TRADING ECONOMICS (2021). Bureau of Labor Statistics Asian Newly Industrialized Countries - Import Price Index: Electrical equipment, appliance, and component manufacturing for Asian Newly Industrialized Countries [Dataset]. https://tradingeconomics.com/united-states/import-price-index-electrical-equipment-appliance-and-component-manufacturing-for-asian-newly-industrialized-countries-fed-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Sep 13, 2021
    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 1, 1976 - Dec 31, 2025
    Area covered
    Bureau Of Labor Statistics Asian Newly Industrialized Countries
    Description

    Bureau of Labor Statistics Asian Newly Industrialized Countries - Import Price Index: Electrical equipment, appliance, and component manufacturing for Asian Newly Industrialized Countries was 95.90000 Index 2010=100 in December of 2020, according to the United States Federal Reserve. Historically, Bureau of Labor Statistics Asian Newly Industrialized Countries - Import Price Index: Electrical equipment, appliance, and component manufacturing for Asian Newly Industrialized Countries reached a record high of 104.40000 in March of 2013 and a record low of 91.10000 in November of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Bureau of Labor Statistics Asian Newly Industrialized Countries - Import Price Index: Electrical equipment, appliance, and component manufacturing for Asian Newly Industrialized Countries - last updated from the United States Federal Reserve on July of 2025.

  20. d

    Time-Series Data on the Ocean and Great Lakes Economy for Counties, States,...

    • datadiscoverystudio.org
    html, pdf, zip
    Updated Feb 7, 2018
    + more versions
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    (2018). Time-Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2014 (Sector Level). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d0f86a99fcec4569ba76f34192657692/html
    Explore at:
    html, zip, pdfAvailable download formats
    Dataset updated
    Feb 7, 2018
    Description

    description: Economics: National Ocean Watch (ENOW) contains annual time-series data for over 400 coastal counties, 30 coastal states, 8 regions, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP).; abstract: Economics: National Ocean Watch (ENOW) contains annual time-series data for over 400 coastal counties, 30 coastal states, 8 regions, and the nation, derived from the Bureau of Labor Statistics and the Bureau of Economic Analysis. It describes six economic sectors that depend on the oceans and Great Lakes and measures four economic indicators: Establishments, Employment, Wages, and Gross Domestic Product (GDP).

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

USA Bureau of Labor Statistics

USA Bureau of Labor Statistics (BigQuery Dataset)

Explore at:
304 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.

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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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