Explore the number of employees in government sectors dataset for insights on labor and employment trends in Saudi Arabia. Analyze data collected by SAMA Annual.
Labor, Government, employment, SAMA Annual
Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Note:The Statistics include men and women working under the following ladders: (Public Ladder of Employee Salaries, Ladder of Health Jobs, Ladder of Educational Jobs, Ladder of the Teaching staff, lecturers and teaching assistants, Judge Ladder, Ladder of Investigation staff and public prosecutors, and Ladder of Wage - earners).
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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.
The Federal Employee Viewpoint Survey is climate survey and results allow decision makers to assess how employees jointly experience the policies, practices, and procedures of their organizations. The survey allows government employees to share their opinions about what matters most to them, and gives them the opportunity to let their leadership know how they feel about their job, their supervisor, and their agency. Topics assessed in the FEVS focus on organizational practices within leadership scope to act upon. The ultimate goal of the FEVS program is to provide leadership with information that can be leveraged for improving and achieving effective Federal workplaces.Largescale government-wide survey administered by OPM's Employee Services. Each agency has an internal POC leading efforts supporting administration of the survey. Captures agency employee perceptions on work environment; supervisors; managers; executives; Diversity, Equity, Inclusion, and Accessibility; Engagement; job and pay satisfaction; rewards and recognition; as well as demographics of survey takers. ~2300 OPM employees receive this survey / year.
The OPM Federal Workforce Competency Initiative Phase I was a survey conducted to gather data on a core set of tasks and competencies important to performing white collar jobs in the Federal Government. The dataset includes ratings of tasks and competencies collected from Federal employees and supervisors. OPM Employee Services has a pending release to make a portion of the results from the survey public.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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.
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.
An accounting of the number of State of Oklahoma employees by function (excluding higher education) beginning with the 2003 fiscal year.
Number of jobs and employees of the Civil Service Bureau and rates of development in the period (2016-2020)
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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.
https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence
Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_ded51ba4680464b706b95069018ffcac/view
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Employment by Industry reports the total Number of Employers, the Annual Average Employment, and the Annual Average Wage by industry at the town, county, and state level. Industries included in this dataset vary from location to location. In as many locations as possible, five specific industry segments are consistently present (Construction, Manufacturing, Retail Trade, All Industries, Total Government) as well as the largest 3 out of the remaining segments for that location, ranked by Annual Average Employment. Not every location has data for every segment, and some may not have data for the five consistently reported segments. This data is from the Connecticut Department of Labor Quarterly Census of Employment and Wages (QCEW). 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.
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.
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The China Government Employee Database – Qing Jinshenlu (CGED-Q JSL) is a database constructed by the Lee-Campbell Group from records of officials in the jinshenlu that was prepared every three months during the Qing by the Department of Selection (文選司) under the Ministry of Personnel (吏部). The jinshenlu listed almost every civil office from the central government down to low-level county administrative offices including information about the official’s name, place of origin, ethnicity, location of post, job title, and other details. The China Government Employee Database-Qing (CGED-Q) Jinshenlu 1900-1912 and 1850-1864 Public Releases availabe here are extracts from the CGED-Q JSL The public releases consist of records of Qing government civil servants with regular appointments transcribed from the quarterly editions of the Jinshenlu (缙绅录) from 1900 to 1912 and 1850 to 1864. The data in the public releases are exactly as transcribed from the original sources, and do not include any of the corrections, modifications, or additions we have made for our own analysis.
Initial Claims for UI released by the CT Department of Labor. Initial Claims are applications for Unemployment Benefits. Initial Claims may not result in receiving UI benefits if the individual doesn't qualify.
The initial claims reported in these tables are "processed" claims to the extent that duplicates and "reopened" claims have been eliminated. 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.
The integrated Federal Employees' Compensation System (iFECS) is a mission-critical steady state system that supports the Office of Workers' Compensation Programs' (OWCP) Division of Federal Employees' Compensation (DFEC). System capabilities include: processing injury claims, paying workers' compensation benefits, and supporting other financial and administrative activities for DFEC.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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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).
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Continued Jobless Claims - Federal Workers in the United States increased to 7103 People in June 14 from 6737 People in the previous week. This dataset includes a chart with historical data for the United States Continued Jobless Claims - Federal Workers.
This dataset provides monthly counts of full-time, part-time and temporary employees for within the Executive Branch of the State of Iowa. Data is captured for the last pay period ending in a month, starting with pay period ending December 23, 2010.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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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.
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.
Explore the number of employees in government sectors dataset for insights on labor and employment trends in Saudi Arabia. Analyze data collected by SAMA Annual.
Labor, Government, employment, SAMA Annual
Saudi ArabiaFollow data.kapsarc.org for timely data to advance energy economics research..Note:The Statistics include men and women working under the following ladders: (Public Ladder of Employee Salaries, Ladder of Health Jobs, Ladder of Educational Jobs, Ladder of the Teaching staff, lecturers and teaching assistants, Judge Ladder, Ladder of Investigation staff and public prosecutors, and Ladder of Wage - earners).