This dataset includes Baltimore City employee salaries and gross pay from fiscal year 2011 through last fiscal year and includes employees who were employed on June 30 of the last fiscal year. For fiscal years 2020 and prior, data are extracted from the ADP payroll system. For fiscal year 2023, the data are combined from the ADP system and the Workday enterprise resource planning system which now includes payroll.Change Log- Added FY2023 data- Metadata added- Columns renamed to a standard format- Youth workers not employed by City removed- Agency names reformatted with Workday conventions-7/25/24: Added FY2024 data. To leave feedback or ask a question about this dataset, please fill out the following form: Baltimore City Employee Salaries feedback form.
City-Parish employees' annual salaries and other payroll related information. Information is calculated after the last payroll is run for the year specified. Some fields, such as job title and department, are accurate as of the time the data was captured for Open Data BR. For example, if an employee worked for three departments throughout the year, only the department they worked for at the time we collected the data will be shown. ***In November of 2018, the City-Parish switched to a new payroll system. This data contains employee information from 2018 onward. For prior year data, please see the Legacy City-Parish Employee Annual Salaries https://data.brla.gov/Government/Legacy-City-Parish-Employee-Annual-Salaries/g5c2-myyj
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.
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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:
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Graph and download economic data for All Employees: Government: State Government in Puerto Rico (SMS72000009092000001) from Jan 1990 to Dec 2024 about state govt, government, and employment.
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Payroll Services - HRPAYB01 NUMBER OF EMPLOYEES ON HR DATABASE
The Employer Costs for Employee Compensation (ECEC) is a measure of the cost of labor. The compensation series includes wages and salaries plus employer costs for individual employee benefits. Employee benefit costs are calculated as cents-per-hour-worked for individual benefits ranging from employer payments for Social Security to paid time off for holidays. The survey covers all occupations in the civilian economy, which includes the total private economy (excluding farms and households), and the public sector (excluding the Federal government). Statistics are published for the private and public sectors separately, and the data are combined in a measure for the civilian economy. For information and data, visit: https://www.bls.gov/ncs/ect/
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United States Private Sector Payroll: sa: 500 to 900 Employees data was reported at 8,815.560 Person th in Oct 2018. This records an increase from the previous number of 8,785.694 Person th for Sep 2018. United States Private Sector Payroll: sa: 500 to 900 Employees data is updated monthly, averaging 8,240.465 Person th from Mar 2001 (Median) to Oct 2018, with 212 observations. The data reached an all-time high of 8,815.560 Person th in Oct 2018 and a record low of 7,368.487 Person th in Mar 2010. United States Private Sector Payroll: sa: 500 to 900 Employees data remains active status in CEIC and is reported by Automatic Data Processing Inc. The data is categorized under Global Database’s United States – Table US.G045: ADP National Employment Report: New Methodology.
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A database of 53,478 comments on work-related advantages and disadvantages from employees and former employees of 136 companies (with over 10,000 employees) during 2023.
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Graph and download economic data for Average Hourly Earnings of All Employees, Manufacturing (CES3000000003) from Mar 2006 to Feb 2025 about earnings, establishment survey, hours, wages, manufacturing, employment, and USA.
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ABOUT THE CITY OF TEMPE EMPLOYEE SURVEY REPORT (DATASET)This report (dataset) includes the results from the Tempe Employee Survey, conducted every other year, to gather input from employees about issues in six major areas: professional development and career mobility; organizational support; supervisions and working environment; compensation and benefits; employee engagement; and peer relationships. Participation in the survey is voluntary and confidential. Employees are able to complete the survey during work hours or at home, with surveys directly returned to the vendor conducting the survey.In many of the survey questions, survey respondents are asked to rate their agreement level with a given statement on a scale of 5 to 1, where 5 means "Strongly Agree" and 1 means "Strongly Disagree" (while some questions follow another scale). The survey has a 95% confidence level.PERFORMANCE MEASURESData collected in this survey applies directly to the following Performance Measures for the City of Tempe:1. Safe and Secure Communities1.11 Feeling Safe in City Facilities2. Strong Community Connections2.13 Employee Engagement2.25 Employee Work-Related Needs3. Quality of LifeNo performance measures in this category presently relate directly to the Employee Survey4. Sustainable Growth & DevelopmentNo performance measures in this category presently relate directly to the Employee Survey5. Financial Stability & VitalityNo performance measures in this category presently relate directly to the Employee Survey The City of Tempe Employee Survey was first conducted in 2016 and occurs every two years.Additional InformationSource: Community Attitude SurveyContact (author): Adam SamuelsContact E-Mail (author): Adam_Samuels@tempe.govContact (maintainer): Contact E-Mail (maintainer): Data Source Type: Excel tablePreparation Method: Data received from vendor after report is completedPublish Frequency: BiennialPublish Method: ManualData Dictionary (pending)
This dataset lists each employee a lobbyist reports. You can recreate the City Clerk's lobbyist database by downloading all lobbyist datasets on the data portal and view the complete data model of the lobbyist database here: https://www.austintexas.gov/edims/document.cfm?id=293053
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.
‘This dataset provides information regarding the total approved actual expenses incurred by Montgomery County government employees traveling non-locally (over 75 miles from the County’s Executive Office Building at 101 Monroe St. Rockville, MD) for official business, beginning on or after August 12, 2015. The dataset includes the name of traveling employee; the employee’s home department; travel start and end dates; destination; purpose of travel; and actual total expenses funded by the County. Update Frequency: Monthly
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This dataset contains data on transit agency employees as reported to the National Transit Database in the 2022 and 2023 report years. It is organized by agency, mode, type of service, and Employee Type (Full Time or Part Time Employee).
The NTD Data Tables organize and summarize data from the 2022 and 2023 National Transit Database in a manner that is more useful for quick reference and summary analysis
This dataset is based on the 2022 and 2023 Employees database files, which are published to the NTD at https://transit.dot.gov/ntd/ntd-data.
Only Full Reporters report data on employees, and only for Directly Operated modes. Other reporter types, and Purchased Transportation service, do not appear in this file.
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Graph and download economic data for Average Weekly Earnings of All Employees, Total Private (CES0500000011) from Mar 2006 to Feb 2025 about earnings, establishment survey, private, employment, and USA.
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All Employees: Information: Data Processing, Hosting, and Related Services in Florida was 30.11061 Thous. of Persons in January of 2025, according to the United States Federal Reserve. Historically, All Employees: Information: Data Processing, Hosting, and Related Services in Florida reached a record high of 30.39172 in December of 2023 and a record low of 8.42128 in April of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Information: Data Processing, Hosting, and Related Services in Florida - last updated from the United States Federal Reserve on March of 2025.
Precursor to the Enterprise Human Resources Integration-Statistical Data Mart (EHRI-SDM). It contains information about the employee and their history of their personnel actions. The SDM data is extracted and placed into the CPDF format to allow longitudinal analysis over a longer-term than is available in EHRI/SDM. Serves as the source for research data that goes back to 1973.
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Panama Employment: Employees: Non-Profit Organizations data was reported at 4,570.000 Person in 2017. This records a decrease from the previous number of 5,368.000 Person for 2016. Panama Employment: Employees: Non-Profit Organizations data is updated yearly, averaging 5,716.000 Person from Aug 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 8,955.000 Person in 2007 and a record low of 4,570.000 Person in 2017. Panama Employment: Employees: Non-Profit Organizations data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.G006: Employment and Underemployment.
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Graph and download economic data for Full-time equivalent employees: Federal government (A4377C0A173NBEA) from 1929 to 2023 about full-time, federal, government, employment, GDP, and USA.
This dataset includes Baltimore City employee salaries and gross pay from fiscal year 2011 through last fiscal year and includes employees who were employed on June 30 of the last fiscal year. For fiscal years 2020 and prior, data are extracted from the ADP payroll system. For fiscal year 2023, the data are combined from the ADP system and the Workday enterprise resource planning system which now includes payroll.Change Log- Added FY2023 data- Metadata added- Columns renamed to a standard format- Youth workers not employed by City removed- Agency names reformatted with Workday conventions-7/25/24: Added FY2024 data. To leave feedback or ask a question about this dataset, please fill out the following form: Baltimore City Employee Salaries feedback form.