Government Payrolls in the United States increased by 22 thousand in September 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 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.

Jobless Claims - Federal Workers in the United States increased to 635 People in September 13 from 572 People in the previous week. This dataset includes a chart with historical data for the United States Initial Jobless Claims - Federal Workers.

Data is collected because of public interest in how the City’s budget is being spent on salary and overtime pay for all municipal employees. Data is input into the City's Personnel Management System (“PMS”) by the respective user Agencies. Each record represents the following statistics for every city employee: Agency, Last Name, First Name, Middle Initial, Agency Start Date, Work Location Borough, Job Title Description, Leave Status as of the close of the FY (June 30th), Base Salary, Pay Basis, Regular Hours Paid, Regular Gross Paid, Overtime Hours worked, Total Overtime Paid, and Total Other Compensation (i.e. lump sum and/or retro payments). This data can be used to analyze how the City's financial resources are allocated and how much of the City's budget is being devoted to overtime. The reader of this data should be aware that increments of salary increases received over the course of any one fiscal year will not be reflected. All that is captured, is the employee's final base and gross salary at the end of the fiscal year. In very limited cases, a check replacement and subsequent refund may reflect both the original check as well as the re-issued check in employee pay totals.

NOTE 1: To further improve the visibility into the number of employee OT hours worked, beginning with the FY 2023 report, an updated methodology will be used which will eliminate redundant reporting of OT hours in some specific instances. In the previous calculation, hours associated with both overtime pay as well as an accompanying overtime “companion code” pay were included in the employee total even though they represented pay for the same period of time. With the updated methodology, the dollars shown on the Open Data site will continue to be inclusive of both types of overtime, but the OT hours will now reflect a singular block of time, which will result in a more representative total of employee OT hours worked. The updated methodology will primarily impact the OT hours associated with City employees in uniformed civil service titles. The updated methodology will be applied to the Open Data posting for Fiscal Year 2023 and cannot be applied to prior postings and, as a result, the reader of this data should not compare OT hours prior to the 2023 report against OT hours published starting Fiscal Year 2023. The reader of this data may continue to compare OT dollars across all published Fiscal Years on Open Data.
NOTE 2: As a part of FISA-OPA’s routine process for reviewing and releasing Citywide Payroll Data, data for some agencies (specifically NYC Police Department (NYPD) and the District Attorneys’ Offices (Manhattan, Kings, Queens, Richmond, Bronx, and Special Narcotics)) have been redacted since they are exempt from disclosure pursuant to the Freedom of Information Law, POL § 87(2)(f), on the ground that disclosure of the information could endanger the life and safety of the public servants listed thereon. They are further exempt from disclosure pursuant to POL § 87(2)(e)(iii), on the ground that any release of the information would identify confidential sources or disclose confidential information relating to a criminal investigation, and POL § 87(2)(e)(iv), on the ground that disclosure would reveal non-routine criminal investigative techniques or procedures. Some of these redactions will appear as XXX in the name columns.

Government Electronic Directory Services (GEDS) provides public access to Government of Canada employee contact information as provided by participating departments. Encoded with the Latin Alphabet 1 (ISO 8859-1) character set. This is the dataset that contains all of the raw data within the Government of Canada Employee Contact Information system, not the searchable lookup. To search for contact information, please go to Government Electronic Directory Services (GEDS). (​​http://geds.gc.ca)

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.

These tabulations are the basis of the tables in the paper Replication Data for Nominative Linkage of Records of Officials in the China Government Employee Dataset-Qing (CGED-Q) in by Cameron Campbell and Bijia Chen in Historical LIfe Course Studies (2022). These include tabulations of names, surnames, and other primary and secondary attributes of officials recorded in the CGED-Q JSL, as well as tabulations of discrepancies in attributes between records of the same official in the same edition. The tabulations are presented as cumulative percentages in descending order of frequency. In addition to the tabulations that are the basis of tables in the paper, we also include a tabulation of characters appearing in two-character given names of officials in descending order of frequency. Please see Campbell and Chen (2020) for details about the origins of these tables. Please also cite that paper if you make use of any of the material in these tables.

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).

Under the Public Service Compensation Disclosure Policy, compensation, including salary, benefit, and severance amounts for government employees with base salaries or severance payments of equal to or greater than the identified annual threshold, are available in the linked dataset.

This dataset contains annual average CES data for California statewide and areas from 1990 to 2024.

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.

Details of earnings paid to employees on the Metro general government payroll per fiscal year, broken down by type of pay. This dataset is updated annually.Source Link: https://www.nashville.gov/departments/financeMetadata Document: Metro Government Employee Earnings Metadata.pdfContact Data Owner: nashvilleopendata@nashville.gov

Employment by Industry reports several labor statistics related to employment and wage. Domain Frequency Annual Full Description 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.

Montgomery County public employees are required to obtain approval from the Ethics Commission for any employment other than County service. This dataset contains all currently active approvals of outside employment requests. For approvals that have expired, refer to the Ethics Commission website at https://montgomerycountymd.gov/ethics/oe/OEapproved.html. Update Frequency : Monthly

Data is from Transparent California is provided by the Nevada Policy Research Institute as a public service and is dedicated to providing accurate, comprehensive and easily searchable information on the compensation of public employees in California.

Complete and accurate information is necessary to increase public understanding of government and help decision makers, including elected officials and voters, make informed decisions.

NPRI has been increasing transparency in government since first launching TransparentNevada.com in 2008.

All data on Transparent California has been compiled from public records requested and received from the associated political entity and is provided as a public service. We are not responsible for errors contained in those public records. Some jurisdictions are violating California's public records law and are refusing to provide names or other requested compensation information. In those cases, we have worked to provide as much information as we have received. Government jurisdictions in California do not maintain payroll and pension records in a uniform fashion. As such, and to help make the data easier to comprehend, we have consolidated some compensation categories. For instance, the “Overtime pay” column includes overtime compensation as the reporting agency classifies it. The "Other pay" category includes the compensation in the numerous other pay categories some public employees receive. "Total benefits" only includes benefits directly received by the employee: medical insurance (health, dental, and vision) and employer-paid retirement contributions. The total cost of the employee will be higher than the values reported here as there are associated costs (such as workman's comp, state unemployment insurance, medicare/SS costs, etc) that we do not report as employee compensation. The "Total pay & benefits" column underreports the total compensation of government employees whose government employer did not provided complete salary or benefit information. For pensions, all values reflect the actual monetary value of benefits received during the respective year reported.

This dataset is a listing of all active City of Chicago employees, complete with full names, departments, positions, employment status (part-time or full-time), frequency of hourly employee –where applicable—and annual salaries or hourly rate. Please note that "active" has a specific meaning for Human Resources purposes and will sometimes exclude employees on certain types of temporary leave. For hourly employees, the City is providing the hourly rate and frequency of hourly employees (40, 35, 20 and 10) to allow dataset users to estimate annual wages for hourly employees. Please note that annual wages will vary by employee, depending on number of hours worked and seasonal status. For information on the positions and related salaries detailed in the annual budgets, see https://www.cityofchicago.org/city/en/depts/obm.html

Data Disclosure Exemptions: Information disclosed in this dataset is subject to FOIA Exemption Act, 5 ILCS 140/7 (Link:https://www.ilga.gov/legislation/ilcs/documents/000501400K7.htm)

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.

Each year, the City of Boston publishes payroll data for employees. This dataset contains employee names, job details, and earnings information including base salary, overtime, and total compensation for employees of the City.

See the "Payroll Categories" document below for an explanation of what types of earnings are included in each category.

The Civil List reports the agency code (DPT), first initial and last name (NAME), agency name (ADDRESS), title code (TTL #), pay class (PC), and salary (SAL-RATE) of individuals who were employed by the City of New York at any given time during the indicated year.

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