100+ datasets found
  1. Office of Personnel Management (OPM)

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Jan 24, 2025
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    Social Security Administration (2025). Office of Personnel Management (OPM) [Dataset]. https://catalog.data.gov/dataset/office-of-personnel-management-opm
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    The purpose of this agreement is for SSA to verify SSN information for the Office of Personnel Management. OPM will use the SSN verifications in its investigative process to conduct background investigations of members of the military, Federal employees, applicants for Federal employment, and contractors affiliated with Federal agencies.

  2. T

    United States Government Payrolls

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 5, 2025
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    TRADING ECONOMICS (2025). United States Government Payrolls [Dataset]. https://tradingeconomics.com/united-states/government-payrolls
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Sep 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, 1939 - Aug 31, 2025
    Area covered
    United States
    Description

    Government Payrolls in the United States decreased by 16 thousand in August 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. Federal Employee Viewpoint Survey (FEVS) - Employee Engagement Index Results...

    • s.cnmilf.com
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Jan 26, 2024
    + more versions
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    U.S. Office of Personnel Management (2024). Federal Employee Viewpoint Survey (FEVS) - Employee Engagement Index Results by Agency [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/federal-employee-viewpoint-survey-fevs-employee-engagement-index-results-by-agency-6967e
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    Dataset updated
    Jan 26, 2024
    Dataset provided by
    United States Office of Personnel Managementhttps://opm.gov/
    Description

    The Employee Engagement Index (EEI) assesses the critical conditions conducive for employee engagement (e.g., effective leadership, work which provides meaning to employees). The index is comprised of three subfactors: Leaders Lead, Supervisors, and Intrinsic Work Experience.

  4. T

    United States Initial Jobless Claims - Federal Workers

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    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 - Aug 30, 2025
    Area covered
    United States
    Description

    Jobless Claims - Federal Workers in the United States increased to 527 People in August 30 from 515 People in the previous week. This dataset includes a chart with historical data for the United States Initial Jobless Claims - Federal Workers.

  5. T

    State of Iowa Executive Branch Employee Counts by Month and Agency

    • data.iowa.gov
    • datasets.ai
    • +4more
    application/rdfxml +5
    Updated Mar 6, 2025
    + more versions
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    Iowa Department of Administrative Services, Human Resource Management System (2025). State of Iowa Executive Branch Employee Counts by Month and Agency [Dataset]. https://data.iowa.gov/Government-Employees/State-of-Iowa-Executive-Branch-Employee-Counts-by-/ixhm-96mq
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    csv, xml, application/rssxml, json, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset authored and provided by
    Iowa Department of Administrative Services, Human Resource Management System
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Iowa
    Description

    This dataset provides monthly counts of full-time, part-time and temporary employees for within the Executive Branch of the State of Iowa beginning with December 2010.

  6. Current Employment Statistics (CES)

    • data.ca.gov
    • s.cnmilf.com
    • +1more
    csv
    Updated Sep 19, 2025
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    California Employment Development Department (2025). Current Employment Statistics (CES) [Dataset]. https://data.ca.gov/dataset/current-employment-statistics-ces-2
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    csv(72314038), csv(70602263), csv(70705544)Available download formats
    Dataset updated
    Sep 19, 2025
    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

    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.

  7. T

    United States Continued Jobless Claims - Federal Workers

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). United States Continued Jobless Claims - Federal Workers [Dataset]. https://tradingeconomics.com/united-states/continued-jobless-claims--federal-workers
    Explore at:
    csv, excel, 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 - Aug 30, 2025
    Area covered
    United States
    Description

    Continued Jobless Claims - Federal Workers in the United States decreased to 7863 People in August 30 from 8211 People in the previous week. This dataset includes a chart with historical data for the United States Continued Jobless Claims - Federal Workers.

  8. v

    Current Employment Statistics (CES), Annual Average

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.ca.gov
    • +2more
    Updated Jul 23, 2025
    + more versions
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    California Employment Development Department (2025). Current Employment Statistics (CES), Annual Average [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/current-employment-statistics-ces-annual-average-1990-2019
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    California Employment Development Department
    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.

  9. All Employee Census Survey (AES)

    • catalog.data.gov
    • data.va.gov
    • +2more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). All Employee Census Survey (AES) [Dataset]. https://catalog.data.gov/dataset/all-employee-census-survey-aes
    Explore at:
    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    The Office of Personnel Management requires government agencies, at a minimum, to query employees on job satisfaction, organizational assessment and organizational culture. VHA maintains response data for all census surveys such as the Voice of VA as well as the VA Entrance and Exit surveys.

  10. State of Oklahoma Government Employees by Function

    • catalog.data.gov
    • data.ok.gov
    • +1more
    Updated Nov 22, 2024
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    Office of Management and Enterprise Services (2024). State of Oklahoma Government Employees by Function [Dataset]. https://catalog.data.gov/dataset/state-of-oklahoma-government-employees-by-function-774ea
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    Dataset updated
    Nov 22, 2024
    Dataset provided by
    Oklahoma Office of Management and Enterprise Serviceshttp://www.omes.ok.gov/
    Area covered
    Oklahoma
    Description

    An accounting of the number of State of Oklahoma employees by function (excluding higher education) beginning with the 2003 fiscal year.

  11. A

    Executive Schedule C System (ESCS)

    • data.amerigeoss.org
    • catalog.data.gov
    • +1more
    Updated Aug 25, 2022
    + more versions
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    United States (2022). Executive Schedule C System (ESCS) [Dataset]. https://data.amerigeoss.org/dataset/executive-schedule-c-system-escs1
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    Dataset updated
    Aug 25, 2022
    Dataset provided by
    United States
    License

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

    Description

    Used to store information on Federal employees in the Senior Executive Service (SES) and appointed employees in the Schedule C System. Every four years, just after the Presidential election, the United States Government Policy and Supporting Positions, commonly known as the Plum Book, is published, alternately, by the Senate and the House. The Plum Book is used to identify presidentially appointed positions within the Federal Government. The data in the Plum Book comes from the ESCS but may be slightly modified by the Government Printing Office before publication based on additional information they have.

  12. Survey of Federal Government Employees, November 1991 - February 1992

    • archive.ciser.cornell.edu
    Updated Jan 2, 2020
    + more versions
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    Office of Personnel Management (2020). Survey of Federal Government Employees, November 1991 - February 1992 [Dataset]. http://doi.org/10.6077/f38f-8h33
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    Dataset updated
    Jan 2, 2020
    Dataset provided by
    United States Office of Personnel Managementhttps://opm.gov/
    Authors
    Office of Personnel Management
    Variables measured
    Individual
    Description

    The Survey of Federal Employees is the Office of Personnel Management's first major survey of the work force since 1983. The questionnaire was designed to provide policy-makers with information that was not available from existing sources. Questions covered various personnel areas such as employee characteristics, employees' satisfaction with their jobs, supervisors, and organizations, performance management, training, work schedule arrangements, leave benefits, and dependent care responsibilities and the ways employees fulfill these responsibilities. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR09983.v2. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

  13. W

    Employee Express(EE) -

    • cloud.csiss.gmu.edu
    • data.amerigeoss.org
    html
    Updated Dec 19, 2018
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    United States (2018). Employee Express(EE) - [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/employee-expressee-6472a
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    htmlAvailable download formats
    Dataset updated
    Dec 19, 2018
    Dataset provided by
    United States
    License

    https://project-open-data.cio.gov/unknown-license/https://project-open-data.cio.gov/unknown-license/

    Description

    Employee Express is an automated, Web based system that enables Federal employees to initiate the processing of discretionary personnel-payroll transactions electronically. FAA joined a consortium of Federal Agencies to develop Employee Express. EE gives employees the power to change the data in their personnel and payroll records. Nine modes within the DOT have joined the FAA to use EE. EE can be accessed through the Internet or by touch-tone phone.

  14. 2020 Public Service Employee Survey

    • open.canada.ca
    • gimi9.com
    • +1more
    csv, docx, xls
    Updated Dec 9, 2024
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    Treasury Board of Canada Secretariat (2024). 2020 Public Service Employee Survey [Dataset]. https://open.canada.ca/data/en/dataset/4301f4bb-1daa-4b50-afab-d1193b5d2284
    Explore at:
    csv, docx, xlsAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Treasury Board of Canada Secretariathttp://www.tbs-sct.gc.ca/
    Treasury Board of Canadahttps://www.canada.ca/en/treasury-board-secretariat/corporate/about-treasury-board.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    The 2020 Public Service Employee Survey (PSES) was administered by Advanis, on behalf of the Office of the Chief Human Resources Officer, Treasury Board of Canada. This comprehensive survey measured federal government employees’ opinions about their engagement, leadership, workforce, workplace, workplace well-being, compensation, diversity and inclusion, and the impacts of COVID-19. The 2020 Public Service Employee Survey was conducted from November 30, 2020 to January 29, 2021. A total of 188,786 employees in 87 federal departments and agencies responded to the 2020 Public Service Employee Survey, for a response rate of 61%. The 2020 Public Service Employee Survey datasets contain the results of the survey by year (2020, 2019 and 2018) for the Public Service and departments/agencies, and the results broken down by demographic characteristics (e.g., age, gender) and organizational units. Results for 2019 and 2018 are only provided for questions repeated in the 2020 Public Service Employee Survey.

  15. T

    United States Government Spending To GDP

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 7, 2017
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    TRADING ECONOMICS (2017). United States Government Spending To GDP [Dataset]. https://tradingeconomics.com/united-states/government-spending-to-gdp
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Nov 7, 2017
    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
    Dec 31, 1900 - Dec 31, 2024
    Area covered
    United States
    Description

    Government spending in the United States was last recorded at 39.7 percent of GDP in 2024 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. Federal Employee Viewpoint Survey (FEVS) - Index Results by Agency

    • catalog.data.gov
    • gimi9.com
    • +1more
    Updated Jan 26, 2024
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    U.S. Office of Personnel Management (2024). Federal Employee Viewpoint Survey (FEVS) - Index Results by Agency [Dataset]. https://catalog.data.gov/dataset/federal-employee-viewpoint-survey-fevs-index-results-by-agency-43f3c
    Explore at:
    Dataset updated
    Jan 26, 2024
    Dataset provided by
    United States Office of Personnel Managementhttps://opm.gov/
    Description

    Ratings are based on percent positive scores of the survey items that make up each index. The ratings provide a reliable assessment of where agencies rank on the Employee Engagement Index, Global Satisfaction Index, and Performance Confidence Index. A review of results on the various items that comprise each index provides agencies with a richer understanding of aspects of the workplace (e.g., management practices) that employees perceive as effective versus those which should be developed and improved. Subindex scores are calculated by averaging the unrounded percent positive of each of the items in the subindex. To view index ratings, select from the options below.

  17. No FEAR Act Data (FEMA Statistics)

    • s.cnmilf.com
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +1more
    Updated Aug 11, 2025
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    FEMA/OFFICE OF CIVIL RIGHTS/INTERNAL CIVIL RIGHTS DIVISION (2025). No FEAR Act Data (FEMA Statistics) [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/no-fear-act-data-fema-statistics
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    Dataset updated
    Aug 11, 2025
    Dataset provided by
    United States Department of Justice Civil Rights Division
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Description

    In 2002, President George W. Bush signed the Notification and Federal Employee Anti-discrimination and Retaliation Act, Public Law 107-174, Title I, General Provisions, Section 101(1), requires each federal agency to provide written notification of the rights and protections available to federal employees, former federal employees and applicants for federal employment under federal antidiscrimination and whistleblower laws listed in the No FEAR Act. The No FEAR Act increases the accountability of federal departments and agencies for acts of discrimination or reprisal against employees.rnrnThe No FEAR Act requires that federal agencies be accountable for violations of anti-discrimination and whistleblower protection laws. To comply with Title III of the No FEAR Act, FEMA must, among other requirements, post a summary of the statistical data relating to the Equal Employment Opportunity complaints filed with the agency. This data is updated on this website quarterly.rnrnFor further information regarding the No FEAR Act regulations, refer to 5 CFR Part 724, as well as the DHS Office for Civil Rights and Civil Liberties. Additional information regarding federal antidiscrimination, whistleblower protection and retaliation laws can be found at www.eeoc.gov and www.osc.gov.

  18. Population of the Federal Public Service by Department and Age Band

    • open.canada.ca
    • ouvert.canada.ca
    csv, xml
    Updated Feb 22, 2022
    + more versions
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    Treasury Board of Canada Secretariat (2022). Population of the Federal Public Service by Department and Age Band [Dataset]. https://open.canada.ca/data/en/dataset/d712930d-66f4-4377-a2bf-5d55d09c1186
    Explore at:
    csv, xmlAvailable download formats
    Dataset updated
    Feb 22, 2022
    Dataset provided by
    Treasury Board of Canada Secretariathttp://www.tbs-sct.gc.ca/
    Treasury Board of Canadahttps://www.canada.ca/en/treasury-board-secretariat/corporate/about-treasury-board.html
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Mar 31, 2009 - Mar 31, 2019
    Description

    This data presents population counts by department and age group for all Parliamentary appropriated organizations from March 31, 2009 to March 31, 2019. In this dataset the Population counts for the following organizations are merged: Statistics Canada includes employees of Statistical Survey Operations, Innovation, Science and Economic Development Canada includes employees of Competition Bureau Canada, and Global Affairs Canada includes employees of Passport Canada (before March 2014).

  19. d

    Quarterly Census of Employment and Wages Quarterly Data: Beginning 2000

    • catalog.data.gov
    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • +3more
    Updated Sep 20, 2025
    + more versions
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    data.ny.gov (2025). Quarterly Census of Employment and Wages Quarterly Data: Beginning 2000 [Dataset]. https://catalog.data.gov/dataset/quarterly-census-of-employment-and-wages-quarterly-data-beginning-2000
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    Dataset updated
    Sep 20, 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.

  20. O

    Continued Unemployment Claims: High school graduate

    • data.ct.gov
    application/rdfxml +5
    Updated Jun 30, 2022
    + more versions
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    Department of Labor (2022). Continued Unemployment Claims: High school graduate [Dataset]. https://data.ct.gov/w/a7hn-ds68/wqz6-rhce?cur=ZRYrV-hRUcf
    Explore at:
    xml, json, application/rdfxml, application/rssxml, csv, tsvAvailable download formats
    Dataset updated
    Jun 30, 2022
    Dataset authored and provided by
    Department of Labor
    Description

    Continued Claims for UI released by the CT Department of Labor. Continued Claims are total number of individuals being paid benefits in any particular week. Claims data can be access directly from CT DOL here: https://www1.ctdol.state.ct.us/lmi/claimsdata.asp

    Claims are disaggregated by age, education, industry, race/national origin, sex, and wages.

    The claim counts in this dataset may not match claim counts from other sources.

    Unemployment claims tabulated in this dataset represent only one component of the unemployed. Claims do not account for those not covered under the Unemployment system (e.g. federal workers, railroad workers or religious workers) or the unemployed self-employed.

    Claims filed for a particular week will change as time goes on and the backlog is addressed.

    For data on continued claims at the town level, see the dataset "Continued Claims for Unemployment Benefits by Town" here: https://data.ct.gov/Government/Continued-Claims-for-Unemployment-Benefits-by-Town/r83t-9bjm

    For data on initial claims see the following two datasets:

    "Initial Claims for Unemployment Benefits in Connecticut," https://data.ct.gov/Government/Initial-Claims-for-Unemployment-Benefits/j3yj-ek9y

    "Initial Claims for Unemployment Benefits by Town," https://data.ct.gov/Government/Initial-Claims-for-Unemployment-Benefits-by-Town/twvc-s7wy

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Social Security Administration (2025). Office of Personnel Management (OPM) [Dataset]. https://catalog.data.gov/dataset/office-of-personnel-management-opm
Organization logo

Office of Personnel Management (OPM)

Explore at:
Dataset updated
Jan 24, 2025
Dataset provided by
Social Security Administrationhttp://ssa.gov/
Description

The purpose of this agreement is for SSA to verify SSN information for the Office of Personnel Management. OPM will use the SSN verifications in its investigative process to conduct background investigations of members of the military, Federal employees, applicants for Federal employment, and contractors affiliated with Federal agencies.

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