100+ datasets found
  1. 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.

  2. T

    United States Government Payrolls

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Government Payrolls [Dataset]. https://tradingeconomics.com/united-states/government-payrolls
    Explore at:
    xml, json, excel, 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
    Feb 28, 1939 - Jun 30, 2025
    Area covered
    United States
    Description

    Government Payrolls in the United States increased by 73 thousand in June of 2025. This dataset provides the latest reported value for - United States Government Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  3. Current Employment Statistics (CES)

    • catalog.data.gov
    • data.ca.gov
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Current Employment Statistics (CES) [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-ces-5540b
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Description

    The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States. CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

  4. d

    Quarterly Census of Employment and Wages (QCEW)

    • datasets.ai
    • data.ct.gov
    • +4more
    21
    Updated Sep 10, 2024
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    State of Connecticut (2024). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://datasets.ai/datasets/department-of-labor-office-of-research-qcew-quarterly-census-of-employment-and-wages
    Explore at:
    21Available download formats
    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    State of Connecticut
    Description

    The Quarterly Census of Employment and Wages (QCEW) program serves as a near census of employment and wage information. The program produces a comprehensive tabulation of employment and wage information for workers covered by Connecticut Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. Data on the number of establishments, employment, and wages are reported by industry for Connecticut and for the counties, towns and Labor Market Areas (LMAs) and Workforce Investment Areas (WIAs).

  5. T

    United States Initial Jobless Claims - Federal Workers

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). United States Initial Jobless Claims - Federal Workers [Dataset]. https://tradingeconomics.com/united-states/jobless-claims--federal-workers
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 21, 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
    Jun 9, 1984 - Jun 21, 2025
    Area covered
    United States
    Description

    Jobless Claims - Federal Workers in the United States decreased to 453 People in June 21 from 480 People in the previous week. This dataset includes a chart with historical data for the United States Initial Jobless Claims - Federal Workers.

  6. c

    Self-Employment by Occupation by Town - Datasets - CTData.org

    • data.ctdata.org
    Updated Mar 12, 2018
    + more versions
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    (2018). Self-Employment by Occupation by Town - Datasets - CTData.org [Dataset]. http://data.ctdata.org/dataset/self-employment-by-occupation-by-town
    Explore at:
    Dataset updated
    Mar 12, 2018
    License

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

    Description

    Self-Employment by Occupation by Town reports the total population of employed civilian workers aged 16 years and older by occupation. In the Business Type column, individual Business Types are presented as percentages of the Total employed population for the corresponding occupation in the Occupation column. For example, for 2012-2016, there were approximately 320,110 Service employees in Connecticut, 14.6% of those employees worked in Government. 'Self-Employed, Incorporated' includes workers in their own incorporated businesses, 'Self-Employed, Not Incorporated' includes workers in their own non-incorporated businesses and unpaid family workers, 'Government' includes local, state, and federal government workers, 'Private, Profit' includes employees of for-profit private companies, 'Private, Not-for-profit' includes both wage and salary employees of not-for-profit private companies. These data originate from the American Community Survey (ACS) 5-Year estimates, table S2406.

  7. 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 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 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?

  8. d

    Iowa Civilian Employed Population 16 Years and Over by Sex and Class of...

    • catalog.data.gov
    • mydata.iowa.gov
    • +2more
    Updated Jun 14, 2024
    + more versions
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    data.iowa.gov (2024). Iowa Civilian Employed Population 16 Years and Over by Sex and Class of Worker (ACS 5-Year Estimates) [Dataset]. https://catalog.data.gov/dataset/iowa-civilian-employed-population-16-years-and-over-by-sex-and-class-of-worker-acs-5-year-
    Explore at:
    Dataset updated
    Jun 14, 2024
    Dataset provided by
    data.iowa.gov
    Area covered
    Iowa
    Description

    This dataset contains Iowa civilian employed population estimate for individuals 16 years or older by by sex and class of worker for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa. Data is from the American Community Survey, Five Year Estimates, Table B24080. Sex includes the following: Both, Male, and Female. Class of Worker includes the following: All Classes; Private-for-Profit Wage and Salary Workers; Private-for-Profit Wage and Salary Workers, Employee; Private-for-Profit Wage and Salary Workers, Self-Employed in Own INC; Private Not-for-Profit Wage and Salary Workers; Local Government Workers; State Government Workers; Federal Government Workers; Self-Employed; and Unpaid Family Workers.

  9. United States Federal Government Open Data Portal

    • data.pa.gov
    application/rdfxml +5
    Updated Jul 6, 2018
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    United States Federal Government (2018). United States Federal Government Open Data Portal [Dataset]. https://data.pa.gov/Local-Government/United-States-Federal-Government-Open-Data-Portal/6pts-mmcx
    Explore at:
    json, application/rssxml, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jul 6, 2018
    Dataset provided by
    Federal government of the United Stateshttp://www.usa.gov/
    Authors
    United States Federal Government
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    United States
    Description

    This is a link to the United States Federal Government's Open Data Portal. Here you will find data, tools, and resources to conduct research, develop web and mobile applications, design data visualizations.

    Check out the attachment in the metadata detailing all the Opioid Related datasets contained in this portal.

    Data.gov is the federal government’s open data site, and aims to make government more open and accountable. Opening government data increases citizen participation in government, creates opportunities for economic development, and informs decision making in both the private and public sectors.

    Links included for Center for Disease Control and Prevention both the business website and their Data and Statistics website.

  10. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

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

  11. d

    Quarterly Census of Employment and Wages Annual Data: Beginning 2000

    • catalog.data.gov
    • data.ny.gov
    • +1more
    Updated Jun 7, 2025
    + more versions
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    data.ny.gov (2025). Quarterly Census of Employment and Wages Annual Data: Beginning 2000 [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-annual-data-beginning-2000
    Explore at:
    Dataset updated
    Jun 7, 2025
    Dataset provided by
    data.ny.gov
    Description

    The Quarterly Census of Employment and Wages (QCEW) program (also known as ES-202) collects employment and wage data from employers covered by New York State's Unemployment Insurance (UI) Law. This program is a cooperative program with the U.S. Bureau of Labor Statistics. QCEW data encompass approximately 97 percent of New York's nonfarm employment, providing a virtual census of employees and their wages as well as the most complete universe of employment and wage data, by industry, at the State, regional and county levels. "Covered" employment refers broadly to both private-sector employees as well as state, county, and municipal government employees insured under the New York State Unemployment Insurance (UI) Act. Federal employees are insured under separate laws, but are considered covered for the purposes of the program. Employee categories not covered by UI include some agricultural workers, railroad workers, private household workers, student workers, the self-employed, and unpaid family workers. QCEW data are similar to monthly Current Employment Statistics (CES) data in that they reflect jobs by place of work; therefore, if a person holds two jobs, he or she is counted twice. However, since the QCEW program, by definition, only measures employment covered by unemployment insurance laws, its totals will not be the same as CES employment totals due to the employee categories excluded by UI.

  12. Occupational Employment Statistics US

    • kaggle.com
    Updated May 17, 2020
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    Manuel Juarez (2020). Occupational Employment Statistics US [Dataset]. https://www.kaggle.com/datasets/manueljuarez/occupational-employment-statistics-us/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 17, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Manuel Juarez
    Area covered
    United States
    Description

    Dataset

    This dataset was created by Manuel Juarez

    Contents

  13. Federal government; consumer credit, student loans

    • kaggle.com
    Updated Dec 11, 2019
    + more versions
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    Federal Reserve (2019). Federal government; consumer credit, student loans [Dataset]. https://www.kaggle.com/datasets/federalreserve/federal-government;-consumer-credit,-student-loans/versions/8
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 11, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Federal Reserve
    Description

    Content

    Source ID: FL313066220.Q

    For more information about the Flow of Funds tables, see: https://www.federalreserve.gov/apps/fof/Default.aspx

    For a detailed description, including how this series is constructed, see: https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FL313066220&t=

    Context

    This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 1945-10-01

    • Observation End : 2019-04-01

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Michael on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  14. Percentage of workers working from home by U.S. County, Multiple Years

    • sharefulton.fultoncountyga.gov
    application/rdfxml +5
    Updated Nov 1, 2021
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    U.S.Census Bureau (2021). Percentage of workers working from home by U.S. County, Multiple Years [Dataset]. https://sharefulton.fultoncountyga.gov/dataset/Percentage-of-workers-working-from-home-by-U-S-Cou/n264-cfnq
    Explore at:
    xml, tsv, csv, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Nov 1, 2021
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S.Census Bureau
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    This dataset contains the percentage of workers who report working from home for each county in the U.S. with a population of over 65,000 for the years 2010 to 2019. The data were taken from the U.S. Census Bureau's American Community Survey, 1-year Summary, Commuting Characteristics by Sex (S0801-C01-13).

  15. Current Employment Statistics (CES), Annual Average

    • data.ca.gov
    csv
    Updated Jul 24, 2023
    + more versions
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    California Employment Development Department (2023). Current Employment Statistics (CES), Annual Average [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-annual-average
    Explore at:
    csv(15980721)Available download formats
    Dataset updated
    Jul 24, 2023
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Description

    This dataset contains annual average CES data for California statewide and areas from 1990 to 2023.

    The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States.

    CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services.

    The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

  16. d

    Current Employment Statistics (CES), Annual Average

    • catalog.data.gov
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Current Employment Statistics (CES), Annual Average [Dataset]. https://catalog.data.gov/dataset/current-employment-statistics-ces-annual-average-1990-2019
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Employment Development Department
    Description

    This dataset contains annual average CES data for California statewide and areas from 1990 - 2023. The Current Employment Statistics (CES) program is a Federal-State cooperative effort in which monthly surveys are conducted to provide estimates of employment, hours, and earnings based on payroll records of business establishments. The CES survey is based on approximately 119,000 businesses and government agencies representing approximately 629,000 individual worksites throughout the United States. CES data reflect the number of nonfarm, payroll jobs. It includes the total number of persons on establishment payrolls, employed full- or part-time, who received pay (whether they worked or not) for any part of the pay period that includes the 12th day of the month. Temporary and intermittent employees are included, as are any employees who are on paid sick leave or on paid holiday. Persons on the payroll of more than one establishment are counted in each establishment. CES data excludes proprietors, self-employed, unpaid family or volunteer workers, farm workers, and household workers. Government employment covers only civilian employees; it excludes uniformed members of the armed services. The Bureau of Labor Statistics (BLS) of the U.S. Department of Labor is responsible for the concepts, definitions, technical procedures, validation, and publication of the estimates that State workforce agencies prepare under agreement with BLS.

  17. Labor Force Participation Rate: US and California

    • data.ca.gov
    • catalog.data.gov
    csv
    Updated Sep 15, 2023
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    California Employment Development Department (2023). Labor Force Participation Rate: US and California [Dataset]. https://data.ca.gov/dataset/labor-force-participation-rate-us-and-california
    Explore at:
    csv(20498)Available download formats
    Dataset updated
    Sep 15, 2023
    Dataset provided by
    Employment Development Departmenthttp://www.edd.ca.gov/
    Authors
    California Employment Development Department
    License

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

    Area covered
    California, United States
    Description

    The labor force participation rate is the percentage of the population that is either employed or unemployed (that is, either working or actively seeking work). People with jobs are employed. People who are jobless, looking for a job, and available for work are unemployed. The labor force is made up of the employed and the unemployed. People who are neither employed nor unemployed are not in the labor force.

  18. c

    Quarterly Census of Employment and Wages (QCEW)

    • s.cnmilf.com
    • data.ca.gov
    • +1more
    Updated Nov 27, 2024
    + more versions
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    California Employment Development Department (2024). Quarterly Census of Employment and Wages (QCEW) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-qcew-a6fea
    Explore at:
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Employment Development Department
    Description

    The Quarterly Census of Employment and Wages (QCEW) Program is a Federal-State cooperative program between the U.S. Department of Labor’s Bureau of Labor Statistics (BLS) and the California EDD’s Labor Market Information Division (LMID). The QCEW program produces a comprehensive tabulation of employment and wage information for workers covered by California Unemployment Insurance (UI) laws and Federal workers covered by the Unemployment Compensation for Federal Employees (UCFE) program. The QCEW program serves as a near census of monthly employment and quarterly wage information by 6-digit industry codes from the North American Industry Classification System (NAICS) at the national, state, and county levels. At the national level, the QCEW program publishes employment and wage data for nearly every NAICS industry. At the state and local area level, the QCEW program publishes employment and wage data down to the 6-digit NAICS industry level, if disclosure restrictions are met. In accordance with the BLS policy, data provided to the Bureau in confidence are used only for specified statistical purposes and are not published. The BLS withholds publication of Unemployment Insurance law-covered employment and wage data for any industry level when necessary to protect the identity of cooperating employers. Data from the QCEW program serve as an important input to many BLS programs. The Current Employment Statistics and the Occupational Employment Statistics programs use the QCEW data as the benchmark source for employment. The UI administrative records collected under the QCEW program serve as a sampling frame for the BLS establishment surveys. In addition, the data serve as an input to other federal and state programs. The Bureau of Economic Analysis (BEA) of the Department of Commerce uses the QCEW data as the base for developing the wage and salary component of personal income. The U.S. Department of Labor’s Employment and Training Administration (ETA) and California's EDD use the QCEW data to administer the Unemployment Insurance program. The QCEW data accurately reflect the extent of coverage of California’s UI laws and are used to measure UI revenues; national, state and local area employment; and total and UI taxable wage trends. The U.S. Department of Labor’s Bureau of Labor Statistics publishes new QCEW data in its County Employment and Wages news release on a quarterly basis. The BLS also publishes a subset of its quarterly data through the Create Customized Tables system, and full quarterly industry detail data at all geographic levels.

  19. Financial Institutions ( Fdic)

    • kaggle.com
    Updated Feb 7, 2025
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    willian oliveira gibin (2025). Financial Institutions ( Fdic) [Dataset]. http://doi.org/10.34740/kaggle/dsv/10690948
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    willian oliveira gibin
    License

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

    Description

    Restrictions on using U.S. government materials Not everything that appears on a federal government website is a government work (something created by a U.S. government officer or employee as part of their official duties). Content on federal websites may include protected intellectual property used with the right holder's permission. Before using U.S. government materials such as text, trademarks, logos, or images, check with the federal agency or program that manages the website to make sure the materials are not restricted.

    Publicity and privacy rights On federal websites, other people may have rights to the work itself or how it is used, such as publicity or privacy rights under state law. These rights protect the interests of the person or people who may be the subject of the work. Learn more about copyright, privacy, and publicity rights from the Library of Congress.

    Endorsement, trademarks, and agency logos You cannot use government materials in a way that implies endorsement by a government agency, official, or employee. For example, using a photo in your advertisement of a government official wearing or using your product is not permitted.

    You also cannot use federal government trademarks or federal government agency logos without permission. For example, in general, you cannot use an agency logo or trademark on your social media page to suggest endorsement or sponsorship by the agency.

    Attribution In some cases, agencies will have specific language that they request you include with the materials they allow you to use. In other cases, agencies may release copyright-protected materials under a Creative Commons “CC-BY” or similar license, which requires attribution for use.

  20. w

    Fire statistics data tables

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 10, 2025
    + more versions
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    Ministry of Housing, Communities and Local Government (2025). Fire statistics data tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fire-statistics-data-tables
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset provided by
    GOV.UK
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    On 1 April 2025 responsibility for fire and rescue transferred from the Home Office to the Ministry of Housing, Communities and Local Government.

    This information covers fires, false alarms and other incidents attended by fire crews, and the statistics include the numbers of incidents, fires, fatalities and casualties as well as information on response times to fires. The Ministry of Housing, Communities and Local Government (MHCLG) also collect information on the workforce, fire prevention work, health and safety and firefighter pensions. All data tables on fire statistics are below.

    MHCLG has responsibility for fire services in England. The vast majority of data tables produced by the Ministry of Housing, Communities and Local Government are for England but some (0101, 0103, 0201, 0501, 1401) tables are for Great Britain split by nation. In the past the Department for Communities and Local Government (who previously had responsibility for fire services in England) produced data tables for Great Britain and at times the UK. Similar information for devolved administrations are available at https://www.firescotland.gov.uk/about/statistics/" class="govuk-link">Scotland: Fire and Rescue Statistics, https://statswales.gov.wales/Catalogue/Community-Safety-and-Social-Inclusion/Community-Safety" class="govuk-link">Wales: Community safety and https://www.nifrs.org/home/about-us/publications/" class="govuk-link">Northern Ireland: Fire and Rescue Statistics.

    If you use assistive technology (for example, a screen reader) and need a version of any of these documents in a more accessible format, please email alternativeformats@communities.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

    Related content

    Fire statistics guidance
    Fire statistics incident level datasets

    Incidents attended

    https://assets.publishing.service.gov.uk/media/686d2aa22557debd867cbe14/FIRE0101.xlsx">FIRE0101: Incidents attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 153 KB) Previous FIRE0101 tables

    https://assets.publishing.service.gov.uk/media/686d2ab52557debd867cbe15/FIRE0102.xlsx">FIRE0102: Incidents attended by fire and rescue services in England, by incident type and fire and rescue authority (MS Excel Spreadsheet, 2.19 MB) Previous FIRE0102 tables

    https://assets.publishing.service.gov.uk/media/686d2aca10d550c668de3c69/FIRE0103.xlsx">FIRE0103: Fires attended by fire and rescue services by nation and population (MS Excel Spreadsheet, 201 KB) Previous FIRE0103 tables

    https://assets.publishing.service.gov.uk/media/686d2ad92557debd867cbe16/FIRE0104.xlsx">FIRE0104: Fire false alarms by reason for false alarm, England (MS Excel Spreadsheet, 492 KB) Previous FIRE0104 tables

    Dwelling fires attended

    https://assets.publishing.service.gov.uk/media/686d2af42cfe301b5fb6789f/FIRE0201.xlsx">FIRE0201: Dwelling fires attended by fire and rescue services by motive, population and nation (MS Excel Spreadsheet, <span class="gem-c-attac

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(2025). All Employees, Federal [Dataset]. https://fred.stlouisfed.org/series/CES9091000001

All Employees, Federal

CES9091000001

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30 scholarly articles cite this dataset (View in Google Scholar)
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.

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