40 datasets found
  1. v

    Data from: Employee Salaries

    • gis.data.vbgov.com
    • data.virginia.gov
    • +2more
    Updated Jul 12, 2023
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    City of Virginia Beach - Online Mapping (2023). Employee Salaries [Dataset]. https://gis.data.vbgov.com/datasets/7aebe129fc774fcda0c5e847c46c55bd
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    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    City of Virginia Beach - Online Mapping
    Description

    This dataset has been published by the Human Resources Department of the City of Virginia Beach and data.virginiabeach.gov. The mission of data.virginiabeach.gov is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.Distributed bydata.virginiabeach.gov2405 Courthouse Dr.Virginia Beach, VA 23456EntityEmployee SalariesPoint of ContactHuman ResourcesSherri Arnold, Human Resources Business Partner IIIsharnold@vbgov.com757-385-8804Elda Soriano, HRIS Analystesoriano@vbgov.com757-385-8597AttributesColumn: DepartmentDescription: 3-letter department codeColumn: Department DivisionDescription: This is the City Division that the position is assigned to.Column: PCNDescription: Tracking number used to reference each unique position within the City.Column: Position TitleDescription: This is the title of the position (per the City’s pay plan).Column: FLSA Status Description: Represents the position’s status with regards to the Fair Labor Standards Act (FLSA) “Exempt” - These positions do not qualify for overtime compensation – Generally, a position is classified as FLSA exempt if all three of the following criteria are met: 1) Paid at least $47,476 per year ($913 per week); 2) Paid on a salary basis - generally, salary basis is defined as having a guaranteed minimum amount of pay for any work week in which the employee performs any work; 3) Perform exempt job duties - Job duties are split between three classifications: executive, professional, and administrative. All three have specific job functions which, if present in the employee’s regular work, would exempt the individual from FLSA. Employees may also be exempt from overtime compensation if they are a “highly compensated employee” as defined by the FLSA or the position meets the criteria for other enumerated exemptions in the FLSA.“Non-exempt” – These positions are eligible for overtime compensation - positions classified as FLSA non-exempt if they fail to meet any of exempt categories specified in the FLSA. Column: Initial Hire DateDescription: This is the date that the full-time employee first began employment with the City.Column: Date in TitleDescription: This is the date that the full-time employee first began employment in their current position.Column: SalaryDescription: This is the annual salary of the full-time employee or the hourly rate of the part-time employee.Frequency of dataset updateMonthly

  2. Job Postings in Europe

    • kaggle.com
    Updated Feb 10, 2023
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    The Devastator (2023). Job Postings in Europe [Dataset]. https://www.kaggle.com/datasets/thedevastator/job-postings-in-europe/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 10, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Europe
    Description

    Job Postings in Europe

    Exploring Salaries, Job Types and Locations

    By [source]

    About this dataset

    The eMedCareers Europe dataset contains more than 30,000 job postings from the top companies across Europe. This comprehensive data set includes detailed information about each job posting such as the associated job category, company name, location, job title and description, as well as types of jobs and salary offered. With this data set, researchers can gain insights into the current trends in salaries and job types in various parts of Europe. Moreover, it provides unique insights into which companies are actively hiring for specific positions and wage levels to assist businesses in forming competitive salaries structures. With this dataset at your fingertips you can start uncovering intriguing patterns in European employment and pay scales - providing deep understandings of the current hiring climate across multiple countries within the region

    More Datasets

    For more datasets, click here.

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    How to use the dataset

    This dataset contains information on job postings from top companies in Europe. It can be used to analyze job types, salaries and locations of advertised positions. The data fields include: - Category: This field specifies the type or category of the position being advertised, such as Engineering, Marketing or Accounting. - Company Name: This field identifies the company advertising the position. - Job Description: This field provides a short description about what will be expected from an individual in this role. - Job Title: This field displays the title of the role that is being offered. - Job Type: This field specifies full-time, part-time contract work etc which would either be available for direct hire or freelance gigs. - Location: This field denotes where these positions are located in Europe and who could apply for it based on their location/residence. - Salary Offered :This filed provides gross annual salary or pay range that is being offered by employer to employee who takes up this job title and other compensation benefits as part per contract terms and conditions set while signing up for specific roles in company/organization

    Using this dataset you can easily analyze all these different aspects related to job openings in Europe available at eMedCareers portal like salary statistics for different industries/categories, job types – full-time vs freelance/contract; location wise jobs availability etc making more informed decision when looking out into market looking out new career opportunities with prospective employers based upon your skillset

    Research Ideas

    • Analyzing the correlation between salary offered and job type (full-time, part-time, contract) to identify salary trends across different job types in Europe.
    • Using the job category and location data to create a geographical analysis of demand for certain roles and skillsets in Europe.
    • Tracking changes in the average salaries over time by visualizing posting date vs salary_offered data points

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

    Columns

    File: emed_careers_eu.csv | Column name | Description | |:--------------------|:-------------------------------------------------------| | category | The job category of the posting. (String) | | company_name | The name of the company posting the job. (String) | | job_description | A description of the job. (String) | | job_title | The title of the job. (String) | | job_type | The type of job (full-time, part-time, etc.). (String) | | location | The location of the job. (String) | | post_date | The date the job was posted. (Date) | | salary_offered | The salary offered for the job. (Integer) |

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

  3. T

    United States Wages and Salaries Growth

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Wages and Salaries Growth [Dataset]. https://tradingeconomics.com/united-states/wage-growth
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    csv, json, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1960 - May 31, 2025
    Area covered
    United States
    Description

    Wages in the United States increased 4.72 percent in May of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Wages and Salaries Growth - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. C

    Current Employee Names, Salaries, and Position Titles

    • data.cityofchicago.org
    • chicago.gov
    • +4more
    application/rdfxml +5
    Updated Jul 13, 2025
    + more versions
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    City of Chicago (2025). Current Employee Names, Salaries, and Position Titles [Dataset]. https://data.cityofchicago.org/Administration-Finance/Current-Employee-Names-Salaries-and-Position-Title/xzkq-xp2w
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    xml, json, csv, application/rdfxml, application/rssxml, tsvAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset authored and provided by
    City of Chicago
    Description

    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)

  5. a

    Senior Staff Salaries 2023

    • hub.arcgis.com
    • middlesbrough-council-middlesbrough.opendata.arcgis.com
    Updated Apr 20, 2023
    + more versions
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    Middlesbrough Council (2023). Senior Staff Salaries 2023 [Dataset]. https://hub.arcgis.com/datasets/5f7a24e906b449a995dc27ae719e070a
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    Dataset updated
    Apr 20, 2023
    Dataset authored and provided by
    Middlesbrough Council
    Description

    As part of the government's requirement for local transparency, councils must publish salary data on their senior management staff. The information is updated annually and therefore provides a snapshot of the organisation in March 2023.Scope of disclosureWe have included all staff who earn over £50,000 per annum, in line with government guidance.This page contains the data that the council must produce in relation to staff salaries and organisational structure as described by the Local Government Transparency code.Senior employee data is published based on national advice. Where an item is not published, it is because the item is not applicable to the council. The following table shows the required data and where these can be found on this page.Field StatusJob title Published - senior staff salaries (spreadsheet) Name Published - senior staff salaries (spreadsheet)Service Published - senior staff salaries (spreadsheet)Salary amount Published - senior staff salaries (spreadsheet)Employer's pension contribution Published - senior staff salaries (spreadsheet)Contact details Published - senior staff salaries (spreadsheet)Grade Published - senior staff salaries (spreadsheet)Type of contract Published - senior staff salaries (spreadsheet)Expenses allowances Not applicableLoss of office compensation Not applicableSalary band Published - Pay Policy StatementSalary ceiling Published - Pay Policy Statement

  6. d

    Employee Salaries - 2023

    • catalog.data.gov
    • data.montgomerycountymd.gov
    • +1more
    Updated Feb 17, 2024
    + more versions
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    data.montgomerycountymd.gov (2024). Employee Salaries - 2023 [Dataset]. https://catalog.data.gov/dataset/employee-salaries-2023
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    Dataset updated
    Feb 17, 2024
    Dataset provided by
    data.montgomerycountymd.gov
    Description

    Annual salary information including gross pay and overtime pay for all active, permanent employees of Montgomery County, MD paid in calendar year 2023. This information will be published annually each year.

  7. C

    Allegheny County Employee Salaries

    • data.wprdc.org
    csv
    Updated Apr 23, 2025
    + more versions
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    Allegheny County (2025). Allegheny County Employee Salaries [Dataset]. https://data.wprdc.org/dataset/allegheny-county-employee-salaries
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    csv(1208893), csv(938407), csv(688679), csv(979228), csv(976238), csv(924093), csv(983512), csv(788027), csv(990014), csv(915421)Available download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Allegheny County
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Allegheny County
    Description

    This dataset includes annual salary, regular pay, incentive pay, and gross pay for employees under the County Executive and independently elected County officials for the years 2016 to the present, and is updated quarterly.

    For December files, Annual Salary is the employee's annual salary or annualized wage as of the last pay period for the year, and the pay data fields (Regular Pay, Incentive Pay and Gross Pay) are payments made to the employee through the last pay period of the year. The June file contains the Annual Salary, and the pay data as of the last pay period in June. Note that the June file is replaced by the December file each year.

    Union contracted salaries and wages which were not settled during the calendar year reflect the wage as of the end of the year. Regular Pay for these positions includes salaries and wages for the year it was paid, not the year it was earned.

    In addition to salary or wages for days worked and retroactively settled contract payments, Regular Pay also includes pay for days such as holidays, sick days, and vacation days. Overtime Pay includes pay for extra work typically at a wage rate different from regular wages as set forth in a collective bargaining agreement. Incentive Pay includes such things as a wellness incentive and longevity pay.

    Employee names are included in the dataset with the following exceptions permitted by the Pennsylvania Right to Know Law:

    • The names of individuals who were active sworn law enforcement officers during the year; and
    • Information that would disclose individually identifiable health information.

    Additionally, records related to Court of Common Pleas employees would need to be requested from the Courts.

    In March 2022, the salary data files prior to 2021 were updated so that all columns matched for consistent presentation.

  8. New York City - Citywide Payroll Data

    • kaggle.com
    Updated Sep 5, 2017
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    City of New York (2017). New York City - Citywide Payroll Data [Dataset]. https://www.kaggle.com/datasets/new-york-city/nyc-citywide-payroll-data/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 5, 2017
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    City of New York
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    New York
    Description

    This dataset is now updated annually here.

    Context

    This dataset contains the salary, pay rate, and total compensation of every New York City employee. In this dataset this information is provided for the 2014, 2015, 2016, and 2017 fiscal years, and provides a transparent lens into who gets paid how much and for what.

    Note that fiscal years in the New York City budget cycle start on July 1st and end on June 30th (see here). That means that this dataset contains, in its sum, compensation information for all City of New York employees for the period July 1, 2014 to June 30, 2017.

    Content

    This dataset provides columns for fiscal year, employee name, the city department they work for, their job title, and various fields describing their compensation. The most important of these fields is "Regular Gross Pay", which provides that employee's total compensation.

    Acknowledgements

    This information was published as-is by the City of New York.

    Inspiration

    • How many people do the various city agencies employ, and how much does each department spend on salary in total?
    • What are the most numerous job titles in civic government employment?
    • Where does overtime pay seem to be especially common? How much of it is there?
    • How do New York City employee salaries compare against salaries of city employees in Chicago? Is the difference more or less than the difference in cost of living between the two cities?
  9. FCO staff and salary data

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 16, 2020
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    Foreign & Commonwealth Office (2020). FCO staff and salary data [Dataset]. https://www.gov.uk/government/publications/foreign-office-staff-and-salary-data
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    Dataset updated
    Dec 16, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Foreign & Commonwealth Office
    Description

    All government departments have been asked to publish a wide range of information about how they meet and measure their objectives and the use of resources.

    The Foreign & Commonwealth Office already publishes some data on its people, buildings and money, including in our annual public accounts and in response to Freedom of Information (FOI) requests.

  10. h

    demo-salaries

    • huggingface.co
    Updated Jul 10, 2023
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    David Jimenez Melo (2023). demo-salaries [Dataset]. https://huggingface.co/datasets/Einstellung/demo-salaries
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 10, 2023
    Authors
    David Jimenez Melo
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset Summary

    Briefly summarize the dataset, its intended use and the supported tasks. Give an overview of how and why the dataset was created. The summary should explicitly mention the languages present in the dataset (possibly in broad terms, e.g. translations between several pairs of European languages), and describe the domain, topic, or genre covered.

      Supported Tasks and Leaderboards
    

    For each of the tasks tagged for this dataset, give a brief description of the tag… See the full description on the dataset page: https://huggingface.co/datasets/Einstellung/demo-salaries.

  11. F

    Employed full time: Median usual weekly real earnings: Wage and salary...

    • fred.stlouisfed.org
    json
    Updated Apr 16, 2025
    + more versions
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    (2025). Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over [Dataset]. https://fred.stlouisfed.org/series/LES1252881600Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employed full time: Median usual weekly real earnings: Wage and salary workers: 16 years and over (LES1252881600Q) from Q1 1979 to Q1 2025 about full-time, salaries, workers, earnings, 16 years +, wages, median, real, employment, and USA.

  12. A

    ‘Baltimore City Employee Salaries’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Oct 29, 2021
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2021). ‘Baltimore City Employee Salaries’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-baltimore-city-employee-salaries-5404/41593ccf/?iid=005-376&v=presentation
    Explore at:
    Dataset updated
    Oct 29, 2021
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Baltimore
    Description

    Analysis of ‘Baltimore City Employee Salaries’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e35392a8-b2b3-4748-b696-1637b8e774a0 on 12 February 2022.

    --- Dataset description provided by original source is as follows ---

    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 2021, the data are combined from the ADP system and the Workday enterprise resource planning system which now includes payroll.

    Change Log
    2021-10-29:
    - Added FY2021 data
    - Metadata added
    - Columns renamed to a standard format
    - Youth workers not employed by City removed
    - Agency names reformatted with Workday conventions

    Data Dictionary

    field_namedescriptiondata_typerange_of_possible_valuesexample_values
    firstNameThe first name of the employee.TextN/A
    middleInitialThe middle initial of the employee.TextN/A
    lastNameThe last name of the employee.TextN/A
    jobClassThe job classification of the employee. Job classifications are a standardized system of job responsibilities and pay and are frequently not the same as an employee's functional title. Participants in Youthworks who were not employed by the City are not included in this dataset.CategoryThere are 1,898 unique job classficiations in this dataset."911 OPERATOR" ; "LABORER" ; "CDL DRIVER I" ; "OPERATIONS MANAGER III"
    agencyIDA unique identifier for the agency or department the employee works for. There is a one-to-one relationship between the agencyID and agencyName fields.TextThere are 73 unique agencyID values corresponding to 73 unique agencyName values."A01" ; "A54"; "R01"
    agencyNameThe name of the agency or department the employee works for. There is a one-to-one relationship between the agencyID and agencyName fields. The agencyID is typically a letter followed by two numbers though there are a few exceptions.TextThere are 73 unique agencyID values corresponding to 73 unique agencyName values."Police Department" ; "Public Works - Solid Waste (weekly)" ; "Convention Center"
    hireDateThe date the employee was hired.Date6/23/1951 through 6/30/20214/3/1979
    annualSalaryThe employee's base annual salary for the fiscal year.Number0 through 276375
    grossPayThe total sum of compensation the employee received during the fiscal year. To be included in this dataset the employee must have earned more than $0.00 in the fiscal year.Number1.71 through 373111.20
    fiscalYearThe fiscal year during which the employee worked for the city. Fiscal years for the City begin July 1 and end June 30 each year. Employees must have earned more than $0.00 during the fiscal year to be included for that year.CategoryFY2011 through FY2021"FY2021"

    --- Original source retains full ownership of the source dataset ---

  13. Nonemployer Statistics

    • icpsr.umich.edu
    Updated Jun 26, 2015
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    United States. Bureau of the Census (2015). Nonemployer Statistics [Dataset]. https://www.icpsr.umich.edu/web/NADAC/studies/36218
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    Dataset updated
    Jun 26, 2015
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/36218/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/36218/terms

    Area covered
    United States
    Description

    Nonemployer Statistics is an annual series that provides statistics on U.S. businesses with no paid employees or payroll, are subject to federal income taxes, and have receipts of $1,000 or more ($1 or more for the Construction sector). This program is authorized by the United States Code, Titles 13 and 26. Also, the collection provides data for approximately 450 North American Industry Classification System (NAICS) industries at the national, state, county, metropolitan statistical area, and combined statistical area geography levels. The majority of NAICS industries are included with some exceptions as follows: crop and animal production; investment funds, trusts, and other financial vehicles; management of companies and enterprises; and public administration. Data are also presented by Legal Form of Organization (LFO) (U.S. and state only) as filed with the Internal Revenue Service (IRS). Most nonemployers are self-employed individuals operating unincorporated businesses (known as sole proprietorships), which may or may not be the owner's principal source of income. Nonemployers Statistics features nonemployers in several arts-related industries and occupations, including the following: Arts, entertainment, and recreation (NAICS Code 71) Performing arts companies Spectator sports Promoters of performing arts, sports, and similar events Independent artists, writers, and performers Museums, historical sites, and similar institutions Amusement parks and arcades Professional, scientific, and technical services (NAICS Code 54) Architectural services Landscape architectural services Photographic services Retail trade (NAICS Code 44-45) Sporting goods, hobby, and musical instrument stores Sewing, needlework, and piece goods stores Book stores Art dealers Nonemployer Statistics data originate from statistical information obtained through business income tax records that the Internal Revenue Service (IRS) provides to the Census Bureau. The data are processed through various automated and analytical review to eliminate employers from the tabulation, correct and complete data items, remove anomalies, and validate geography coding and industry classification. Prior to publication, the noise infusion method is applied to protect individual businesses from disclosure. Noise infusion was first applied to Nonemployer Statistics in 2005. Prior to 2005, data were suppressed using the complementary cell suppression method. For more information on the coverage and methods used in Nonemployer Statistics, refer to NES Methodology. The majority of all business establishments in the United States are nonemployers, yet these firms average less than 4 percent of all sales and receipts nationally. Due to their small economic impact, these firms are excluded from most other Census Bureau business statistics (the primary exception being the Survey of Business Owners). The Nonemployers Statistics series is the primary resource available to study the scope and activities of nonemployers at a detailed geographic level. For complementary statistics on the firms that do have paid employees, refer to the County Business Patterns. Additional sources of data on small businesses include the Economic Census, and the Statistics of U.S. Businesses. The annual Nonemployer Statistics data are available approximately 18 months after each reference year. Data for years since 2002 are published via comma-delimited format (csv) for spreadsheet or database use, and in the American FactFinder (AFF). For help accessing the data, please refer to the Data User Guide.

  14. e

    Data from: Senior Staff Salaries

    • data.europa.eu
    • gimi9.com
    • +1more
    csv, html, json, xml
    Updated Dec 4, 2024
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    Colchester Borough Council (2024). Senior Staff Salaries [Dataset]. https://data.europa.eu/data/datasets/senior-staff-salaries/embed
    Explore at:
    csv, html, json, xmlAvailable download formats
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Colchester Borough Council
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Salary details for Colchester's Chief Executive and senior officers.

    Pay is shown in £5,000 bandings as per the Data Transparency code.

    The full pay policy can be found at the following link: http://colchester.gov.uk/CHttpHandler.ashx?id=5934&p=0

    The full statement of accounts including more information about payments can be found at the following link: http://colchester.gov.uk/article/11907/Statement-of-Accounts---Colchester-Borough-Council

    An organisation chart detailing the top 3 levels of the Council and their responsibilities can be found in the 'Organisation Chart' schema.

    Imformation about current vacancies can be found in the 'Current Job Vacancies' schema.

    Under the Data Transparency Code, we are required to update this information on an annual basis. The information used is the same as that included in the Council's Annual Statement of Accounts which is published by end September each year. This schema will be updated within 1 month of this date.

  15. Data on staff roles and salaries: DHSC

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 22, 2021
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    Department of Health and Social Care (2021). Data on staff roles and salaries: DHSC [Dataset]. https://www.gov.uk/government/publications/data-on-staff-roles-and-salaries-dhsc
    Explore at:
    Dataset updated
    Jul 22, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department of Health and Social Care
    Description

    Organogram data has been released by all central government departments and their agencies since 2010. This data covers the first quarter of the financial year 2021 to 2022 for the Department of Health and Social Care (DHSC). The published data is validated and released in CSV format and under Open Government Licence (OGL) for reuse.

    Not all staff are listed within a Senior Civil Service (SCS1) deputy director led team. These staff are listed on the final row of the transparency return. Staff may not have an allocated SCS1 team lead due to a number of reasons, which could include the deputy director post being vacant, the member of staff being new, their record being processed, and so on.

    Additionally, some staff have a nil salary due to being in unpaid positions or being ‘free loans’ from other government departments.

  16. Major League Baseball average player salary 2003-2024

    • statista.com
    Updated Jun 13, 2024
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    Statista (2024). Major League Baseball average player salary 2003-2024 [Dataset]. https://www.statista.com/statistics/236213/mean-salaray-of-players-in-majpr-league-baseball/
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    Dataset updated
    Jun 13, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As one of the biggest sports leagues in America with TV viewers reaching into the millions, Major League Baseball can afford to pay its players handsomely. The average salary for a player in the MLB stood at 4.98 million U.S. dollars in 2024. This marks a twofold increase on the average salary in 2005. Highs and lows of MLB salaries While the stars of every MLB team take home millions every year, there is still a minimum player salary in place to ensure that all players are compensated for their efforts. The 2024 MLB minimum player salary was set at 740 thousand U.S. dollars, a significant increase on the minimum of 300 thousand U.S. dollars in 2003. The league’s top earners The highest earner in the MLB in 2024 was the starting pitcher for the Los Angeles Dodgers, Shohei Ohtani. The three-time All-Star took home an annual base salary of 70 million U.S. dollars in the 2024 season. Due to their prominent role on the team, it is unsurprising that a majority of the top earners in the MLB were pitchers.  

  17. b

    Baltimore City Employee Salaries

    • data.baltimorecity.gov
    Updated Jan 5, 2024
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    Baltimore City (2024). Baltimore City Employee Salaries [Dataset]. https://data.baltimorecity.gov/datasets/baltimore::baltimore-city-employee-salaries-3/explore
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    Dataset updated
    Jan 5, 2024
    Dataset authored and provided by
    Baltimore City
    Area covered
    Baltimore
    Description

    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.

  18. F

    Compensation of Employees, Received: Wage and Salary Disbursements

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
    + more versions
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    (2025). Compensation of Employees, Received: Wage and Salary Disbursements [Dataset]. https://fred.stlouisfed.org/series/A576RC1
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

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

  19. O

    State of Vermont Employee Salaries

    • data.vermont.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Jun 27, 2025
    + more versions
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    Department of Human Resources (2025). State of Vermont Employee Salaries [Dataset]. https://data.vermont.gov/Government/State-of-Vermont-Employee-Salaries/jgqy-2smf
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    csv, xml, tsv, application/rdfxml, json, application/rssxmlAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Department of Human Resources
    Area covered
    Vermont
    Description

    Salary information for State of Vermont active employees from all branches. Generally, employees who are expected to work year-round have salaries stated as salary type "Annual." Temporary employees have salaries stated as salary type "Hourly." Legislators, who usually do not work year-round, have salaries stated as salary type "Weekly." The weekly rate reported here is the rate paid during the legislative session. Data as of the last Friday of each month. NOTE: Individuals covered by the Safe at Home Act (Title 15 Sections 1150-1160) have been excluded from this list.

  20. F

    Employment Cost Index: Wages and Salaries: Private Industry Workers

    • fred.stlouisfed.org
    json
    Updated Apr 30, 2025
    + more versions
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    (2025). Employment Cost Index: Wages and Salaries: Private Industry Workers [Dataset]. https://fred.stlouisfed.org/series/ECIWAG
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Employment Cost Index: Wages and Salaries: Private Industry Workers (ECIWAG) from Q1 2001 to Q1 2025 about cost, ECI, salaries, workers, private industries, wages, private, employment, industry, inflation, indexes, and USA.

Share
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Link copied
Close
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City of Virginia Beach - Online Mapping (2023). Employee Salaries [Dataset]. https://gis.data.vbgov.com/datasets/7aebe129fc774fcda0c5e847c46c55bd

Data from: Employee Salaries

Related Article
Explore at:
Dataset updated
Jul 12, 2023
Dataset authored and provided by
City of Virginia Beach - Online Mapping
Description

This dataset has been published by the Human Resources Department of the City of Virginia Beach and data.virginiabeach.gov. The mission of data.virginiabeach.gov is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.Distributed bydata.virginiabeach.gov2405 Courthouse Dr.Virginia Beach, VA 23456EntityEmployee SalariesPoint of ContactHuman ResourcesSherri Arnold, Human Resources Business Partner IIIsharnold@vbgov.com757-385-8804Elda Soriano, HRIS Analystesoriano@vbgov.com757-385-8597AttributesColumn: DepartmentDescription: 3-letter department codeColumn: Department DivisionDescription: This is the City Division that the position is assigned to.Column: PCNDescription: Tracking number used to reference each unique position within the City.Column: Position TitleDescription: This is the title of the position (per the City’s pay plan).Column: FLSA Status Description: Represents the position’s status with regards to the Fair Labor Standards Act (FLSA) “Exempt” - These positions do not qualify for overtime compensation – Generally, a position is classified as FLSA exempt if all three of the following criteria are met: 1) Paid at least $47,476 per year ($913 per week); 2) Paid on a salary basis - generally, salary basis is defined as having a guaranteed minimum amount of pay for any work week in which the employee performs any work; 3) Perform exempt job duties - Job duties are split between three classifications: executive, professional, and administrative. All three have specific job functions which, if present in the employee’s regular work, would exempt the individual from FLSA. Employees may also be exempt from overtime compensation if they are a “highly compensated employee” as defined by the FLSA or the position meets the criteria for other enumerated exemptions in the FLSA.“Non-exempt” – These positions are eligible for overtime compensation - positions classified as FLSA non-exempt if they fail to meet any of exempt categories specified in the FLSA. Column: Initial Hire DateDescription: This is the date that the full-time employee first began employment with the City.Column: Date in TitleDescription: This is the date that the full-time employee first began employment in their current position.Column: SalaryDescription: This is the annual salary of the full-time employee or the hourly rate of the part-time employee.Frequency of dataset updateMonthly

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