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)

This paper using panel data of 2008-2019 Shanghai and Shenzhen A-share listed companies as the research sample and employing the multiple regression method to tests the relationship between executive compensation incentives and R&D investment of listed companies in China, further investigates the path of the relationship between the two and the influence of government subsidy to the relationship. In this paper, the selected samples are excluded according to the following criteria: ①Companies with incomplete data on financial indicators and corporate governance indicators are excluded. ②Eliminate companies with negative asset-liability ratio or greater than 1. ③Exclude companies in the financial and insurance industry. ④Exclude listed companies less than 1 year. ⑤Exclude companies containing S, ST and *ST. ⑥Exclude the companies with extreme sample data. The risk-taking data involved in this paper came from the WIND database. Other data come from the CSMAR database.

A. SUMMARY The San Francisco Controller's Office maintains a database of the salary and benefits paid to City employees since fiscal year 2013.

B. HOW THE DATASET IS CREATED This data is summarized and presented on the Employee Compensation report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format.

C. UPDATE PROCESS New data is added on a bi-annual basis when available for each fiscal and calendar year.

D. HOW TO USE THIS DATASET Before using please first review the following two resources: Data Dictionary - Can be found in 'About this dataset' section after click 'Show More' Employee Compensation FAQ - https://support.datasf.org/help/employee-compensation-faq

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.

Data on individual compensation by nonprofit organizations as submitted on e-filed Form 990 and released publicly by the IRS

Graph and download economic data for Nonfarm Business Sector: Hourly Compensation for All Workers (COMPNFB) from Q1 1947 to Q4 2024 about per hour, compensation, sector, nonfarm, business, and USA.

Oregon workers' compensation data about insurers and self-insured employers. The data is presented in the Department of Consumer and Business Services report at https://www.oregon.gov/dcbs/reports/compensation/Pages/index.aspx. The attached pdf provides definitions of the data.

The Employer Database System is a database of all Oregon employers and their history of workers’ compensation (WC) insurance coverage. The system produces a snapshot of current employers with active workers’ compensation insurance policies. The most current data are updated monthly during the first week of the month.

Lobbying-related compensation received by registered lobbyists as reported in their quarterly reports. See http://www.cityofchicago.org/city/en/depts/ethics/provdrs/lobby.html for more information on the Board of Ethics' role in regulating and reporting on lobbying in Chicago.

Graph and download economic data for Compensation of Employees, Received: Wage and Salary Disbursements (A576RC1) from Jan 1959 to Jan 2025 about disbursements, salaries, wages, and USA.

This data is subject to change at any time due to personnel actions that are consistent with the City's approved Pay Plan. Employee compensation is limited to the following pay: regular wages, over time, productivity enhancement, shift differential, standby, incentive pay, allowances, and leave payouts. The data is a snapshot as of December 31st of the reported year.

Job descriptions, pay ranges, and benefits information is available at: https://www.phoenix.gov/hr/job-descriptions

Total compensation information is available at: https://www.phoenix.gov/hr/current-jobs/total-compensation-information

Employee terms by unit is available at: https://www.phoenix.gov/hr/employee-terms-by-unit

Salaries of City of Milwaukee employees by year.

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.

Graph and download economic data for Share of Labour Compensation in GDP at Current National Prices for United States (LABSHPUSA156NRUG) from 1950 to 2019 about compensation, labor, GDP, and USA.

The San Francisco Controller's Office maintains a database of the salary and benefits paid to City employees since fiscal year 2013. This data is summarized and presented on the Employee Compensation report hosted at http://openbook.sfgov.org, and is also available in this dataset in CSV format. New data is added on a bi-annual basis when available for each fiscal and calendar year.

Data Overview WageScape's US job listings dataset offers real-time, forward-looking insights into the American labor market. Covering millions of job postings data from various industries and locations, it supports workforce analytics, economic forecasting, and strategic planning, enabling businesses to make data-driven decisions with salary data, skill taxonomy data, and comprehensive company data.

Data Enrichment The dataset includes enriched recruiting data with industry codes, title normalization, company normalization, geographic parsing, firmographic info, and compensation data, enhancing usability and accuracy with precise skill taxonomy data.

Main Attributes • Job Titles: Across various sectors and industries, supported by detailed job postings data. • Job Descriptions: Detailed roles and requirements based on recruiting data. • Salary Data: Expected pay information, sourced from comprehensive salary data. • Locations: From state-level to city-specific details, offering insights into company data. • Company Information: Name, size, revenue, and industry sectors, providing context to company data. • Posting Dates: Timeline of market activity reflecting trends in job postings data. • Job Requirements: Skills, education, and experience needed, informed by skill taxonomy data.

Coverage • Industries: Technology, healthcare, finance, manufacturing, retail, and more, analyzed through company data. • Geographical Reach: National coverage, including metropolitan areas, regional hubs, and smaller towns, enriched with job postings data.

Scale and Quality • Data Volume: Over 4 million job postings monthly, providing extensive recruiting data. • Hiring Organizations: Data from 6+ million organizations, supported by reliable company data. • High Precision: Rigorous validation for accuracy, ensuring dependable salary data.

Use Cases • Workforce Analytics: Analyze trends and dynamics using job postings data and recruiting data for HR decisions. • Economic Forecasting: Predict economic and labor market shifts based on company data and job postings data. • Talent Acquisition: Improve recruitment strategies with detailed recruiting data and insights from skill taxonomy data. • Market Research: Understand industry trends using enriched company data. • Strategic Planning: Inform long-term business strategies with comprehensive job postings data and salary data.

Data Accessibility • Delivery Channels: Available through Data-as-a-Service (DaaS), with access to recruiting data and job postings data. • Customizable Reports: Tailored to specific business needs, incorporating skill taxonomy data. • Integration: Seamless integration into existing systems, supporting detailed company data analysis.

Key Benefits • Real-Time Insights: Up-to-date job information for timely decisions based on job postings data. • Forward-Looking Data: Predict future labor market trends with enriched company data and salary data. • Comprehensive Coverage: Extensive industry and geographic data, including detailed recruiting data. • High Quality and Scale: Millions of postings monthly for robust analysis, supported by skill taxonomy data. • Actionable Insights: Enhance job modeling and workforce strategies with high-quality company data.

Key Points WageScape's dataset is essential for businesses to understand the labor market deeply. With extensive coverage and high-quality company data, it empowers organizations to optimize workforce strategies and maintain a competitive edge, leveraging the latest job postings data, salary data, and skill taxonomy data.

United States Employment Cost Index (ECI): sa: Compensation: Civilian Workers data was reported at 132.500 Dec2005=100 in Mar 2018. This records an increase from the previous number of 131.400 Dec2005=100 for Dec 2017. United States Employment Cost Index (ECI): sa: Compensation: Civilian Workers data is updated quarterly, averaging 110.700 Dec2005=100 from Mar 2001 (Median) to Mar 2018, with 69 observations. The data reached an all-time high of 132.500 Dec2005=100 in Mar 2018 and a record low of 84.700 Dec2005=100 in Mar 2001. United States Employment Cost Index (ECI): sa: Compensation: Civilian Workers data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G072: National Compensation Survey: Employment Cost Index: Dec 2005=100.

Graph and download economic data for Shares of gross domestic income: Compensation of employees, paid (A4002E1A156NBEA) from 1929 to 2023 about Shares of GDI, GDI, paid, compensation, income, employment, and USA.

Employee Compensation Plans

Public authorities are required by Section 2800 of Public Authorities Law to submit annual reports to the Authorities Budget Office that includes salary and compensation data. The dataset consists of salary data by employee reported by Local Authorities that covers 8 fiscal years, which includes fiscal years ending in the most recently completed calendar year.

United States Employment Cost Index: sa: Compensation: Private Industry data was reported at 181.200 Jun1989=100 in Dec 2005. This records an increase from the previous number of 179.800 Jun1989=100 for Sep 2005. United States Employment Cost Index: sa: Compensation: Private Industry data is updated quarterly, averaging 116.300 Jun1989=100 from Mar 1980 (Median) to Dec 2005, with 104 observations. The data reached an all-time high of 181.200 Jun1989=100 in Dec 2005 and a record low of 60.800 Jun1989=100 in Mar 1980. United States Employment Cost Index: sa: Compensation: Private Industry data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G073: National Compensation Survey: Employment Cost Index: Jun 1989=100.