12 datasets found
  1. 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

  2. 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

  3. 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
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    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.

  4. 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.

  5. s

    County Salaries By Department - 2023

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

  6. 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)/
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    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.

  7. 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.

  8. D

    Incomes Occupations and Earnings - Seattle Neighborhoods

    • data.seattle.gov
    • hub.arcgis.com
    • +1more
    application/rdfxml +5
    Updated Oct 22, 2024
    + more versions
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    (2024). Incomes Occupations and Earnings - Seattle Neighborhoods [Dataset]. https://data.seattle.gov/dataset/Incomes-Occupations-and-Earnings-Seattle-Neighborh/5r7r-hvze
    Explore at:
    csv, xml, tsv, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Area covered
    Seattle
    Description

    Table from the American Community Survey (ACS) 5-year series on income and earning related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B19025 Aggregate Household Income, B19013 Median Household Income, B19001 Household Income, B19113 Median Family Household Income, B19101 Family Household Income, B19202 Median Nonfamily Household Income, B19201 Nonfamily Household Income, B19301 Per Capita Income/B19313 Aggregate Income/B01001 Sex by Age, C24010 Sex by Occupation of the Civilian Employed Population 16 years and Over, B20017 Median Earnings by Sex by Work Experience for the Population 16 years and over with Earnings, B20001 Sex by Earnings for the Population 16 years and over with Earnings. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.


    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023


    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. 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:
    • 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 <span style='font-family:inherit; margin:0px;

  9. Opportunity Map - Census Data - Income, Spending, Employment

    • data.openlaredo.com
    html
    Updated Mar 12, 2020
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    GIS Portal (2020). Opportunity Map - Census Data - Income, Spending, Employment [Dataset]. https://data.openlaredo.com/dataset/opportunity-map-census-data-income-spending-employment
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    htmlAvailable download formats
    Dataset updated
    Mar 12, 2020
    Dataset provided by
    City of Laredo
    Authors
    GIS Portal
    Description

    {{description}}

  10. Hong Kong Median monthly income from main employment (excluding unpaid...

    • opendata.esrichina.hk
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Oct 20, 2023
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    Esri China (Hong Kong) Ltd. (2023). Hong Kong Median monthly income from main employment (excluding unpaid family workers) by sex by 18 districts in 2021 [Dataset]. https://opendata.esrichina.hk/maps/0dcdb4fbe1c94260aab9b94e1c4a9e47
    Explore at:
    Dataset updated
    Oct 20, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri China (Hong Kong) Ltd.
    Area covered
    Description

    This web map shows the Hong Kong median monthly income from main employment no unpaid family workers by sex by 18 districts in 2021. It is a subset of the 2021 Population Census made available by the Census and Statistics Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data is in CSV format and has been processed and converted into Esri File Geodatabase format and then uploaded to Esri’s ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of CSDI Portal at https://portal.csdi.gov.hk.

  11. a

    SBLA Income & Employment Indicators

    • hub.arcgis.com
    Updated Sep 27, 2022
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    County of Los Angeles (2022). SBLA Income & Employment Indicators [Dataset]. https://hub.arcgis.com/datasets/bda5109ae480420287d6ec3f8770f3f4
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    Dataset updated
    Sep 27, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description

    Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table name indicator name Universe timeframe source race notes source url

    below_fpl_perc below 100% federal poverty level percent (%) Population for whom poverty status is determined 2016-2020 American Community Survey - S1703 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1703

    below_200fpl_perc below 200% federal poverty level percent (%) Total population 2021 Population and Poverty Estimates of Los Angeles County Tract-City Splits by Age, Sex and Race-Ethnicity for July 1, 2021, Los Angeles, CA, April 2022 All races are Non-Hispanic LA County eGIS-Demography

    median_income Median income (household) Households 2016-2020 American Community Survey - S1903 All races are Non-Hispanic; Race is that of householder https://data.census.gov/cedsci/table?q=S1903&g=0500000US06037

    percapita_income Mean Per Capita Income Total population 2016-2020 American Community Survey - S1902 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S1902

    college_degree_any College degree AA, BA, or Higher % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

    graduate_professional_degree Graduate or professional degree % Population 25 years and over 2021 American Community Survey - B15002B-I Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=b15002b&g=0500000US06037

    unemployment_rate Unemployment Rate Population 16 years and over 2016-2020 American Community Survey - S2301 Race alone; White is Non-Hispanic White https://data.census.gov/cedsci/table?q=S2301%3A%20EMPLOYMENT%20STATUS&g=0500000US06037&tid=ACSST5Y2020.S2301

    below_300fpl_food_insecure Percent of Households with Incomes <300% Federal Poverty Level That Are Food Insecure Percent of Households with Incomes <300% Federal Poverty Level 2018 Los Angeles County Health Survey

    https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    below_185fpl_snap Percent of Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Who Are Currently Receiving Supplemental Nutrition Assistance Program (SNAP), Also Known as Calfresh Adults (Ages 18 Years and Older) with Household Incomes <185% Federal Poverty Level Los Angeles County Health Survey 20182018 https://publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

    B24010 Sex by Occupation for the Civilian Employed Population 16 Years and Over Civilian employed population 16 years and over

  12. a

    India: District-wise Employment and Income Characteristics (Rural) - 2011

    • up-state-observatory-esriindia1.hub.arcgis.com
    Updated Jan 2, 2020
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    GIS Online (2020). India: District-wise Employment and Income Characteristics (Rural) - 2011 [Dataset]. https://up-state-observatory-esriindia1.hub.arcgis.com/items/3d5c1221d9124c08a48da8b7d1b84618
    Explore at:
    Dataset updated
    Jan 2, 2020
    Dataset authored and provided by
    GIS Online
    Area covered
    Description

    This map provides District level Employment and Income Characteristics (Rural), India, which Number of Households with Salaried Job, Government Sector, Public Sector, Private Sector, Number of Households Pay Income Tax or Professional Tax, Number of Households Own/Operate an Enterprise registered with the Government, Less than Rs.5,000, Between Rs.5,000 and Rs.10,000, Rs.10,000 or more etc.

    Source link for the Rural Development MIS data is given below:

    Socio-Economic Caste Census 2011

    This map layer is offered by Esri India, for ArcGIS Online subscribers. If you have any question or comments, please let us know via content@esri.in.

  13. 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://arc-gis-hub-home-arcgishub.hub.arcgis.com/documents/sbcounty::county-salaries-job-classifications-and-descriptions/about

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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