15 datasets found
  1. a

    County Salaries, Job Classifications, and Descriptions

    • hub.arcgis.com
    Updated Jun 22, 2017
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    County of San Bernardino (2017). County Salaries, Job Classifications, and Descriptions [Dataset]. https://hub.arcgis.com/documents/1b21fe62e6b54dcbbcf60edfc52e264d
    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

  2. 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.

  3. a

    Salaries and Benefits by Job Title

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

  4. A

    ‘Pay Stations’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 27, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Pay Stations’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-pay-stations-bc82/latest
    Explore at:
    Dataset updated
    Jan 27, 2022
    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

    Description

    Analysis of ‘Pay Stations’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8f7302e2-13fd-42eb-a03e-3d95e3f1da53 on 27 January 2022.

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

    Displays the locations of Paid Parking Kiosks that distribute a receipt that is displayed in the vehicle.

    | Attribute Information: https://www.seattle.gov/Documents/Departments/SDOT/GIS/Pay_Station_OD.pdf

    | Data Update Cycle: Weekly (Due to issues with nightly update)
    | Contact Email: DOT_IT_GIS@seattle.gov

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

  5. s

    County Salaries by Department 2018

    • opendata.suffolkcountyny.gov
    • data-uvalibrary.opendata.arcgis.com
    • +1more
    Updated Jun 13, 2022
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    Suffolk County GIS (2022). County Salaries by Department 2018 [Dataset]. https://opendata.suffolkcountyny.gov/datasets/county-salaries-by-department-2018
    Explore at:
    Dataset updated
    Jun 13, 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 2018 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.

    Additional information about the Dataset Attributes are listed below. Please feel free to contact us if you have any questions about this dataset.

    Year: Year of employment Last Name: Employee Last Name First Name: Employee First Name Department: Department Name Job Title: Job Title Bargaining Unit Number: Bargaining Unit Bargaining Unit Name: Bargaining Unit Name Salary: Regular Salary Earnings for the Year Longevity Pay: Longevity Pay Overtime Pay: Overtime Pay Separation Pay: Separation Payment of Sick, Vacation and Personal Time Accruals Other Pay: Special Payments - Holiday Pay, Night Differential, Cleaning Clothing Tool Allowance, Legal Benefit Total Earnings: Total Earnings for the Year Separation Date: Date of Termination/Separation from Suffolk County

  6. s

    County Salaries By Department - 2023

    • opendata.suffolkcountyny.gov
    • data-uvalibrary.opendata.arcgis.com
    • +1more
    Updated Jul 1, 2024
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    Suffolk County GIS (2024). County Salaries By Department - 2023 [Dataset]. https://opendata.suffolkcountyny.gov/datasets/county-salaries-by-department-2023
    Explore at:
    Dataset updated
    Jul 1, 2024
    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 2023 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.

  7. 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.

  8. v

    Data from: Employee Salaries

    • gis.data.vbgov.com
    • data.virginia.gov
    • +1more
    Updated Jul 12, 2023
    + more versions
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    City of Virginia Beach - Online Mapping (2023). Employee Salaries [Dataset]. https://gis.data.vbgov.com/items/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

  9. 2025 Green Card Report for Forest Engineering (gis)

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Forest Engineering (gis) [Dataset]. https://www.myvisajobs.com/reports/green-card/major/forest-engineering-(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 forest engineering (gis) in the U.S.

  10. l

    Louisville Metro KY - Employee Salary Data

    • data.louisvilleky.gov
    • data.lojic.org
    • +2more
    Updated Mar 22, 2023
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    Louisville/Jefferson County Information Consortium (2023). Louisville Metro KY - Employee Salary Data [Dataset]. https://data.louisvilleky.gov/datasets/louisville-metro-ky-employee-salary-data/explore
    Explore at:
    Dataset updated
    Mar 22, 2023
    Dataset authored and provided by
    Louisville/Jefferson County Information Consortium
    License

    https://louisville-metro-opendata-lojic.hub.arcgis.com/pages/terms-of-use-and-licensehttps://louisville-metro-opendata-lojic.hub.arcgis.com/pages/terms-of-use-and-license

    Area covered
    Kentucky, Louisville
    Description

    Louisville Metro Human Resources (HR) Department, with the support of department leaders and their agency HR Representatives, provides support to all metro agencies in personnel management, benefits administration, labor relations, training, recruitment, occupational health & safety, payroll administration and onboarding. This data is presented in a publicly available report, located HERE

    Please review the FAQ located at https://louisvilleky.gov/government/human-resources/salary-data-faq

    Field Name

    Field Description

    Cal Year

    Calendar year the row data is referencing

    Employee Name

    Full employee name (LAST, FIRST MIDDLE)

    Department

    Metro department of employee during the referenced calendar year

    job Title

    Job title of employee during the referenced calendar year

    Annual Rate

    Yearly compensation rate of employee (Hourly Rate X Annual Work Hours)

    Regular Rate

    Gross payments received in the referenced calendar year for hours worked

    Overtime Rate

    Amount of overtime payment(s) within the calendar year referenced

    Incentive Allowance

    Additional payments for work allowances (i.e.: uniform allowances, call out payments etc.)

    Other

    Any additional payments issued to employee not captured in the other categories

    YTD Total

    Year To Date (YTD) compensation paid

  11. 2025 Green Card Report for Applied Geospatial Science

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Applied Geospatial Science [Dataset]. https://www.myvisajobs.com/reports/green-card/major/applied-geospatial-science
    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 applied geospatial science in the U.S.

  12. a

    City of Vancouver Job Classification Pay Ranges

    • city-of-vancouver-strategic-plan-dashboard-cityofvancouver.hub.arcgis.com
    • city-of-vancouver-wa-geo-hub-cityofvancouver.hub.arcgis.com
    Updated Jul 23, 2023
    + more versions
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    Vancouver Online Maps (2023). City of Vancouver Job Classification Pay Ranges [Dataset]. https://city-of-vancouver-strategic-plan-dashboard-cityofvancouver.hub.arcgis.com/datasets/city-of-vancouver-job-classification-pay-ranges
    Explore at:
    Dataset updated
    Jul 23, 2023
    Dataset authored and provided by
    Vancouver Online Maps
    Area covered
    Description

    An interactive dashboard, updated regularly, published by the municipal government of the City of Vancouver, Washington. Shows rates and ranges of pay for job classifications and grades in union, nonunion, and combined (all positions) categories.NOTE: This product and the information shown is provided "AS IS" and exists for informational purposes only. The City of Vancouver (COV) makes no warranties regarding the accuracy of such data. This product and information is not prepared, nor is suitable, for legal, engineering, or surveying purposes. Any sale, reproduction or distribution of this information, or products derived therefrom, in any format is expressly prohibited. Data are provided by multiple sources and subject to change without notice.

  13. s

    County Salaries By Department - 2021

    • opendata.suffolkcountyny.gov
    • data-uvalibrary.opendata.arcgis.com
    • +1more
    Updated Mar 2, 2022
    + more versions
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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.

  14. A

    ‘3.25 Equal Pay Ratio 9th Congressional District (summary)’ analyzed by...

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘3.25 Equal Pay Ratio 9th Congressional District (summary)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-3-25-equal-pay-ratio-9th-congressional-district-summary-cd70/e9b55cb1/?iid=001-059&v=presentation
    Explore at:
    Dataset updated
    Feb 11, 2022
    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

    Description

    Analysis of ‘3.25 Equal Pay Ratio 9th Congressional District (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/cc40e532-f709-4c1f-b249-3ac2a72e2163 on 11 February 2022.

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

    What is the Pay Gap? The pay gap is a comparison between women’s and men’s typical (median) earnings by dividing women’s median earnings by men’s median earnings. A ratio that is equal to “1.0” indicates that women’s median earnings are equal to men’s median earnings. A ratio of less than “1.0” indicates that women’s earnings are less than men’s earnings; and, a ratio greater than “1.0” indicates that women’s earnings are greater than men’s.


    This page provides data for the Equal Pay Gap performance measure.


    The earning's ratio is calculated by dividing women's median earnings by the men's median earnings.


    The performance measure dashboard is available at 3.25 Equal Pay Ratio 9th Congressional District.


    Additional Information

    Source:

    Contact: Wydale Holmes

    Contact E-Mail: Wydale_Holmes@tempe.gov

    Data Source Type: Excel

    Preparation Method:

    Publish Frequency: annually

    Publish Method: manual

    Data Dictionary

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

  15. a

    Vulnerability

    • gis-pdx.opendata.arcgis.com
    • hub.arcgis.com
    Updated Aug 31, 2023
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    City of Portland, Oregon (2023). Vulnerability [Dataset]. https://gis-pdx.opendata.arcgis.com/datasets/PDX::vulnerability/about
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    Dataset updated
    Aug 31, 2023
    Dataset authored and provided by
    City of Portland, Oregon
    Area covered
    Description

    Click here for research on the effects of land use planning and gentrification on Portland’s communities of color and other vulnerable populations. Economic Vulnerability Assessment:This map identifies census tracts in Portland where residents are more vulnerable to changing economic conditions, making resisting displacement more difficult. These areas have residents who are more likely to:Be "housing cost-burdened", meaning they pay 30% or more of their income on housing costs.Belong to communities of color, particularly Black and Indigenous communities.Lack college degrees, andHave Lower Incomes.This dataset provides an update to the vulnerability risk analysis that Dr. Lisa Bates prepared for the Bureau of Planning and Sustainability in 2012.This latest dataset includes the following changes in methodology:Low income households were replaced with a size-adjusted median household income. This helps account for how different household sizes experience living with different incomes.Renter households were replaced with households that are housing cost-burdened (pay 30%+ on housing costs). This acknowledges that homeowners who pay a high percentage of their income on housing can be vulnerable to displacement as well.A new variable, Black and Indigenous population, was added to better incorporate past harms to these communities.The vulnerability score was rescaled from 0 to 100. A score of 60 or greater is considered a vulnerable tract.Data sources: U.S. Census Bureau, 2022 ACS 5-year estimates, Tables B25106, B25010, B03002, B19013, B15002. Prepared Summer 2024 by the Portland Bureau of Planning and Sustainability.Download dataset from City of Portland Open Data siteAbout the Bureau of Planning and SustainabilityThe Portland Bureau of Planning and Sustainability (BPS) develops creative and practical solutions to enhance Portland’s livability, preserve distinctive places and plan for a resilient future.Need more information about this data? Email bpsgis@portlandoregon.gov-- Additional Information: Category: Planning Purpose: Map the areas susceptible to gentrification pressure. Update Frequency: Yearly-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54141

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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County of San Bernardino (2017). County Salaries, Job Classifications, and Descriptions [Dataset]. https://hub.arcgis.com/documents/1b21fe62e6b54dcbbcf60edfc52e264d

County Salaries, Job Classifications, and Descriptions

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

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