100+ 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. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Gis
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    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Gis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Gis relative to other fields. This data is essential for students assessing the return on investment of their education in Gis, providing a clear picture of financial prospects post-graduation.

  3. a

    County Salaries, Job Classifications, and Descriptions

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    Updated Jun 22, 2017
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    County of San Bernardino (2017). County Salaries, Job Classifications, and Descriptions [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/sbcounty::county-salaries-job-classifications-and-descriptions/about
    Explore at:
    Dataset updated
    Jun 22, 2017
    Dataset authored and provided by
    County of San Bernardino
    Area covered
    Description

    Classification establishes and maintains the County's job classifications and compensation systems and practices, with equity, consistency, and due regard for pay competitiveness. Positions are analyzed and assigned to appropriate job classificationsJob Descriptions -- Frequently Asked Questions -- Classification and Compensation Documents

  4. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 6, 2025
    + more versions
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Transportation%20And%20Gis
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Transportation And Gis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Transportation And Gis relative to other fields. This data is essential for students assessing the return on investment of their education in Transportation And Gis, providing a clear picture of financial prospects post-graduation.

  5. s

    County Salaries By Department - 2020

    • opendata.suffolkcountyny.gov
    • hub.arcgis.com
    • +1more
    Updated Feb 24, 2021
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    Suffolk County GIS (2021). County Salaries By Department - 2020 [Dataset]. https://opendata.suffolkcountyny.gov/datasets/SuffolkGIS::county-salaries-by-department-2020/about
    Explore at:
    Dataset updated
    Feb 24, 2021
    Dataset authored and provided by
    Suffolk County GIS
    License

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

    Description

    The County of Suffolk Annual Salaries File for the Year 2020 is a yearly summary of Payroll Data for all Suffolk County employees. This file contains the Employee Names and Hired Date along with their most recent Job Title and Department. In addition, the file contains the Employee’s Regular Pay Rate (Hourly, Biweekly or Annual Salary), the Year to Date Regular Earnings, Longevity Pay, Overtime Pay, and Other Payments (comprised of Holiday Pay, Night Differential Pay, Cleaning and Clothing Allowances, Taxable Legal Benefit Amounts, etc.). If an employee has been terminated or has separated from County employment, the Separation Payment Amount (if applicable), and Termination Date is also included.

  6. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 6, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Geography%20%28Gis%20Specialty%29
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Geography (Gis Specialty) from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Geography (Gis Specialty) relative to other fields. This data is essential for students assessing the return on investment of their education in Geography (Gis Specialty), providing a clear picture of financial prospects post-graduation.

  7. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 6, 2025
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Remote%20Sensing%2FGis
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    Dataset updated
    Apr 6, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Remote Sensing/Gis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Remote Sensing/Gis relative to other fields. This data is essential for students assessing the return on investment of their education in Remote Sensing/Gis, providing a clear picture of financial prospects post-graduation.

  8. a

    County Salaries By Department 2024

    • data-uvalibrary.opendata.arcgis.com
    • opendata.suffolkcountyny.gov
    Updated Mar 24, 2025
    + more versions
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    Suffolk County GIS (2025). County Salaries By Department 2024 [Dataset]. https://data-uvalibrary.opendata.arcgis.com/maps/SuffolkGIS::county-salaries-by-department-2024
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Suffolk County GIS
    License

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

    Description

    The County of Suffolk Annual Salaries File for the Year 2024 is a yearly summary of Payroll Data for all Suffolk County employees. This file contains the Employee Names and Hired Date along with their most recent Job Title and Department. In addition, the file contains the Employee’s Regular Pay Rate (Hourly, Biweekly or Annual Salary), the Year to Date Regular Earnings, Longevity Pay, Overtime Pay, and Other Payments (comprised of Holiday Pay, Night Differential Pay, Cleaning and Clothing Allowances, Taxable Legal Benefit Amounts, etc.). If an employee has been terminated or has separated from County employment, the Separation Payment Amount (if applicable), and Termination Date is also included.

  9. 2025 Green Card Report for Gis

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Gis [Dataset]. https://www.myvisajobs.com/reports/green-card/major/gis
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    MyVisaJobs.com
    Authors
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Major, Salary, Petitions Filed
    Description

    A dataset that explores Green Card sponsorship trends, salary data, and employer insights for gis in the U.S.

  10. 2025 Green Card Report for Geographic Information Science (gis)

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Geographic Information Science (gis) [Dataset]. https://www.myvisajobs.com/reports/green-card/major/geographic-information-science-(gis)
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    MyVisaJobs.com
    Authors
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Major, Salary, Petitions Filed
    Description

    A dataset that explores Green Card sponsorship trends, salary data, and employer insights for geographic information science (gis) in the U.S.

  11. s

    County Salaries By Department 2016

    • opendata.suffolkcountyny.gov
    • data-uvalibrary.opendata.arcgis.com
    • +1more
    Updated Aug 8, 2022
    + more versions
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    Suffolk County GIS (2022). County Salaries By Department 2016 [Dataset]. https://opendata.suffolkcountyny.gov/maps/county-salaries-by-department-2016
    Explore at:
    Dataset updated
    Aug 8, 2022
    Dataset authored and provided by
    Suffolk County GIS
    License

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

    Description

    The County of Suffolk Annual Salaries File for the Year 2016 is a yearly summary of Payroll Data for all Suffolk County employees. This file contains the Employee Names and Hired Date along with their most recent Job Title and Department. In addition, the file contains the Employee’s Regular Pay Rate (Hourly, Biweekly or Annual Salary), the Year to Date Regular Earnings, Longevity Pay, Overtime Pay, and Other Payments (comprised of Holiday Pay, Night Differential Pay, Cleaning and Clothing Allowances, Taxable Legal Benefit Amounts, etc.). If an employee has been terminated or has separated from County employment, the Separation Payment Amount (if applicable), and Termination Date is also included.

  12. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
    + more versions
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Geographic%20Information%20Systems%20Gis
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Geographic Information Systems Gis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Geographic Information Systems Gis relative to other fields. This data is essential for students assessing the return on investment of their education in Geographic Information Systems Gis, providing a clear picture of financial prospects post-graduation.

  13. f

    Data from: Average salary

    • froghire.ai
    Updated Apr 3, 2025
    + more versions
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    FrogHire.ai (2025). Average salary [Dataset]. https://www.froghire.ai/major/Cartology%20And%20Gis
    Explore at:
    Dataset updated
    Apr 3, 2025
    Dataset provided by
    FrogHire.ai
    Description

    Explore the progression of average salaries for graduates in Cartology And Gis from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Cartology And Gis relative to other fields. This data is essential for students assessing the return on investment of their education in Cartology And Gis, providing a clear picture of financial prospects post-graduation.

  14. b

    Salaries and Benefits by Job Title

    • data.bellevuewa.gov
    • hub.arcgis.com
    Updated Apr 16, 2021
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    City of Bellevue (2021). Salaries and Benefits by Job Title [Dataset]. https://data.bellevuewa.gov/datasets/salaries-and-benefits-by-job-title/explore
    Explore at:
    Dataset updated
    Apr 16, 2021
    Dataset authored and provided by
    City of Bellevue
    Description

    Costs to the City for salary and benefits listed by job title. Costs to the City for salary and benefits listed by job title. Data contains historical information from year 2014 to Present

  15. T

    General Mills | GIS - Net Income

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 15, 2025
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    TRADING ECONOMICS (2025). General Mills | GIS - Net Income [Dataset]. https://tradingeconomics.com/gis:us:net-income
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 15, 2025
    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 1, 2000 - Jul 13, 2025
    Area covered
    United States
    Description

    General Mills reported $294M in Net Income for its fiscal quarter ending in May of 2025. Data for General Mills | GIS - Net Income including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  16. s

    County Salaries By Department - 2021

    • opendata.suffolkcountyny.gov
    Updated Mar 2, 2022
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    Suffolk County GIS (2022). County Salaries By Department - 2021 [Dataset]. https://opendata.suffolkcountyny.gov/maps/SuffolkGIS::county-salaries-by-department-2021
    Explore at:
    Dataset updated
    Mar 2, 2022
    Dataset authored and provided by
    Suffolk County GIS
    License

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

    Description

    The County of Suffolk Annual Salaries File for the Year 2021 is a yearly summary of Payroll Data for all Suffolk County employees. This file contains the Employee Names and Hired Date along with their most recent Job Title and Department. In addition, the file contains the Employee’s Regular Pay Rate (Hourly, Biweekly or Annual Salary), the Year to Date Regular Earnings, Longevity Pay, Overtime Pay, and Other Payments (comprised of Holiday Pay, Night Differential Pay, Cleaning and Clothing Allowances, Taxable Legal Benefit Amounts, etc.). If an employee has been terminated or has separated from County employment, the Separation Payment Amount (if applicable), and Termination Date is also included.

  17. d

    Lake County, IL 2018 Employee Compensation

    • catalog.data.gov
    • hub.arcgis.com
    • +1more
    Updated Apr 5, 2025
    + more versions
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    Lake County Illinois GIS (2025). Lake County, IL 2018 Employee Compensation [Dataset]. https://catalog.data.gov/dataset/lake-county-il-2018-employee-compensation-27837
    Explore at:
    Dataset updated
    Apr 5, 2025
    Dataset provided by
    Lake County Illinois GIS
    Area covered
    Lake County, Illinois
    Description

    Link to Lake County, IL website.

  18. a

    Data from: Median Household Income

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Aug 21, 2023
    + more versions
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    Cleveland | GIS (2023). Median Household Income [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/ClevelandGIS::median-household-income
    Explore at:
    Dataset updated
    Aug 21, 2023
    Dataset authored and provided by
    Cleveland | GIS
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Area covered
    Description
    This layer shows median household income by race and by age of householder. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis. Median income and income source is based on income in past 12 months of survey.

    This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right.

    Current Vintage: 2019-2023
    ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053

    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.

    Data Note from the Census:
    Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.

    Data Processing Notes:
    • This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.
    • Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2022 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).
    • The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico
    • Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).
    • Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.
    • Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.
    • Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:
      • The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.
      • Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.
      • The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.
      • The estimate is controlled. A statistical test for sampling variability is not appropriate.
      • The data for this geographic area cannot be displayed because the number of sample cases is too small.

  19. d

    Data from: Median Household Income

    • portal.datadrivendetroit.org
    • data.ferndalemi.gov
    • +2more
    Updated May 5, 2016
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    Data Driven Detroit (2016). Median Household Income [Dataset]. https://portal.datadrivendetroit.org/datasets/D3::median-household-income
    Explore at:
    Dataset updated
    May 5, 2016
    Dataset authored and provided by
    Data Driven Detroit
    License

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

    Area covered
    Earth
    Description

    These Socioeconomic Indicators are from the American Community Survey, 2014 5-year estimates. They are at Zip Code level for Oakland, Macomb and Wayne Counties.

  20. D

    Mayoral Appointee Salaries

    • detroitdata.org
    • data.ferndalemi.gov
    Updated Nov 1, 2019
    + more versions
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    City of Detroit (2019). Mayoral Appointee Salaries [Dataset]. https://detroitdata.org/dataset/mayoral-appointee-salaries
    Explore at:
    arcgis geoservices rest api, html, csv, geojson, zip, kmlAvailable download formats
    Dataset updated
    Nov 1, 2019
    Dataset provided by
    City of Detroit
    Description

    Salary information for all mayoral appointees.

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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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