Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Quarterly estimates of UK and regional public sector employment, made up of central government, local government, and public corporations.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Licensed under: Creative Commons Attribution 4.0 Category: Government Views: 115 Openness rating: Dataset Actions View showcases with this dataset Contact dataset owner Public Sector Employment and Earnings
https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions
The dataset shows employment in public and organised private sector
The Public Sector Annual Surveys and Census of Governments identifies the scope and nature of the nation's state and local government sector; provides official counts of U.S. governments and authoritative benchmark figures of public finance and public employment.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Government Payrolls in France increased by 6058 thousand in March of 2025. This dataset provides - France Payroll Employment in the Public Sector- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Public sector employment by industry, UK, published quarterly, seasonally adjusted.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset captures whether a minimum wage policy exists in a country and quantifies the monthly minimum wage level over time. The minimum wages recorded in this database apply only to private sector workers, unless it is stipulated in the sources that private sector minimum wages cannot be lower than public sector minimum wages. One exception is self-declared socialist economies where the government/public sector has traditionally been one of the largest employers; in this case, we recorded minimum wage levels for the public sector. In countries where the minimum wage is sector-specific or occupation-specific, we captured the minimum wage level applicable to either the manufacturing sector or unskilled workers. Scope: Longitudinal data is available for every year between 1995 and 2013 for the 121 countries that have been surveyed by either the Demographic and Health Surveys (DHS) or the Multiple Indicator Cluster Surveys (MICS) at least once between those dates.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for All Employees, Government (USGOVT) from Jan 1939 to Jun 2025 about establishment survey, government, employment, and USA.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Seasonally adjusted and non-seasonally adjusted quarterly time series of UK public sector employment, containing the latest estimates.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Information on employment by class of worker for Ontario and Employment Ontario regions.
Scottish Public Sector Employment Statistics are published by the Scottish Government and includes results from the work of a cross-departmental project, led by ONS, to improve the quality and timeliness of public sector employment statistics. Standard definitions for public sector employment across departmental statistics were agreed and a single definitive set of quarterly PSE estimates were introduced. Methodology Data reproduced here is an extract of Public Sector Employment Statistics, filtered for Glasgow local authority. The full Scottish dataset can be download from here 2014-07-17T17:00:00 Licence: None
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
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.
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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Worldwide Bureaucracy Indicators (WWBI) database is a unique cross-national dataset on public sector employment and wages that aims to fill an information gap, thereby helping researchers, development practitioners, and policymakers gain a better understanding of the personnel dimensions of state capability, the footprint of the public sector within the overall labor market, and the fiscal implications of the public sector wage bill. The dataset is derived from administrative data and household surveys, thereby complementing existing, expert perception-based approaches. The WWBI indicators are estimated from microdata drawn from the labor force and household surveys and augmented with administrative data for 202 economies in five categories: the demographics of the private and public sector workforces; public sector wage premiums; relative wages and pay compression ratios, gender pay gaps; and the public sector wage bill. The micro and administrative data utilized in the construction of the WWBI are drawn from data catalogs housing surveys conducted by national statistical organizations (NSO) or multilateral organization data teams. Together, these provide an important, albeit narrow, picture of the skills and incentives of bureaucrats. Indicators on public employment track key demographic characteristics including the size of the public sector workforce (in absolute and relative numbers), their age, and distributions across genders, industries, occupations, income quintiles, and academic qualifications. Variables on compensation capture both the competitiveness of public sector wages (compared to the private sector) as well as wage differentials across industry or occupation of employment, genders, education, and income quintiles within the public and private sectors as well as pay compression ratios in public and private sectors. The indicators on the size of the wage bill offer a glimpse into the structure and affordability of the public sector within the larger economy.
For further details, please refer to https://datacatalog.worldbank.org/search/dataset/0038132
Includes data for:
Α. Ordinary Staff (despite of Legal Entities of Private Law) Table 1-Sum of ordinary staff (despite Legal Entities of Private Law) Table 2 - Special Regimes
B. Not Ordinary Staff (despite of Legal Entities of Private Law) Table 3-Sum of Not ordinary Staff (despite Legal Entities of Private Law) Table 4 - Breakdown of contract type "Fixed term with limited duration, Hourly paid, project contracts" by Category
C. Ordinary Staff - Legal Entities of Private Law (Chapter A) Table 5 - Sum of ordinary staff - Legal Entities of Private Law
D. Not Ordinary Staff - Legal Entities of Private Law (Chapter A) Table 6 - Sum of Not ordinary Staff - Legal Entities of Private Law Table 7 - Breakdown of contract type "Fixed term with limited duration, Hourly paid, project contracts" by Category - Legal Entities of Private Law
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Key Table Information.Table Title.State and Local Government Employment and Payroll Data: U.S. and States: 2017 - 2024.Table ID.GOVSTIMESERIES.GS00EP01.Survey/Program.Public Sector.Year.2024.Dataset.PUB Public Sector Annual Surveys and Census of Governments.Source.U.S. Census Bureau, Public Sector.Release Date.2025-03-27.Release Schedule.The Annual Survey of Public Employment & Payroll occurs every year, except in Census years. Data are typically released yearly in the first quarter. There is approximately one year between the reference period and data release. Revisions to published data occur annually for the next two years. Census of Governments years, those ending in '2' and '7' may have slightly later releases due to extended processing time..Dataset Universe.Census of Governments - Organization (CG):The universe of this file is all federal, state, and local government units in the United States. In addition to the federal government and the 50 state governments, the Census Bureau recognizes five basic types of local governments. The government types are: County, Municipal, Township, Special District, and School District. Of these five types, three are categorized as General Purpose governments: County, municipal, and township governments are readily recognized and generally present no serious problem of classification. However, legislative provisions for school district and special district governments are diverse. These two types are categorized as Special Purpose governments. Numerous single-function and multiple-function districts, authorities, commissions, boards, and other entities, which have varying degrees of autonomy, exist in the United States. The basic pattern of these entities varies widely from state to state. Moreover, various classes of local governments within a particular state also differ in their characteristics. Refer to the Individual State Descriptions report for an overview of all government entities authorized by state.The Public Use File provides a listing of all independent government units, and dependent school districts active as of fiscal year ending June 30, 2024. The Annual Surveys of Public Employment & Payroll (EP) and State and Local Government Finances (LF):The target population consists of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Survey of Public Pensions (PP):The target population consists of state- and locally-administered defined benefit funds and systems of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Surveys of State Government Finance (SG) and State Government Tax Collections (TC):The target population consists of all 50 state governments. No local governments are included. For the purpose of Census Bureau statistics, the term "state government" refers not only to the executive, legislative, and judicial branches of a given state, but it also includes agencies, institutions, commissions, and public authorities that operate separately or somewhat autonomously from the central state government but where the state government maintains administrative or fiscal control over their activities as defined by the Census Bureau. Additional details are available in the survey methodology description.The Annual Survey of School System Finances (SS):The Annual Survey of School System Finances targets all public school systems providing elementary and/or secondary education in all 50 states and the District of Columbia..Methodology.Data Items and Other Identifying Records.Full-time and part-time employmentFull-time and part-time payrollPart-time hours worked (prior to 2019)Full-time equivalent employmentTotal full-time and part-time employmentTotal full-time and part-time payrollDefinitions can be found by clicking on the column header in the table or by accessing the Glossary.For detailed information, see Government Finance and Employment Classification Manual..Unit(s) of Observation.The basic reporting unit is the governmental unit, defined as an organized entity which in addition to having governmental character, has sufficient discretion in the management of its own affairs to distinguish it as separate from the administrative structure of any other governmental unit.The reporting units for the Annual Survey of School System Finances are public school sy...
A collection of performance indicators and regional benchmarks for consistently comparing neighborhoods (census block groups) across the US in regards to their accessibility to jobs or workers via public transit service. Accessibility was modeled by calculating total travel time between block group centroids inclusive of walking to/from transit stops, wait times, and transfers. Block groups that can be accessed in 45 minutes or less from the origin block group are considered accessible. Indicators reflect public transit service in December 2012 and employment/worker counts in 2010. Coverage is limited to census block groups within metropolitan regions served by transit agencies who share their service data in a standardized format called GTFS.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
This table contains 393 series, with data for years 1981 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (16 items: Canada and outside Canada;Newfoundland and Labrador;Prince Edward Island ...), Public sector, components (2 items: Employment;Wages and salaries ...), Sector (12 items: Public sector;Federal general government;Provincial and territorial general government;Government ...), Seasonal adjustment (2 items: Unadjusted;Seasonally adjusted ...).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Albania Employment: Public Sector: Workers data was reported at 37,761.000 Person in 2023. This records a decrease from the previous number of 38,232.000 Person for 2022. Albania Employment: Public Sector: Workers data is updated yearly, averaging 43,694.257 Person from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 115,645.000 Person in 1995 and a record low of 31,083.000 Person in 2016. Albania Employment: Public Sector: Workers data remains active status in CEIC and is reported by Institute of Statistics. The data is categorized under Global Database’s Albania – Table AL.G020: Employment: Public Sector: by Occupation.
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
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Quarterly estimates of UK and regional public sector employment, made up of central government, local government, and public corporations.