100+ datasets found
  1. a

    Quality Of Hire (Quarterly)

    • strategic-performance-cccd-gis.hub.arcgis.com
    Updated May 24, 2024
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    Clayton County GIS (2024). Quality Of Hire (Quarterly) [Dataset]. https://strategic-performance-cccd-gis.hub.arcgis.com/datasets/quality-of-hire-quarterly
    Explore at:
    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    Clayton County GIS
    Description

    Professional Growth Management - Provide analytics on hiring and retention.

  2. General Mills, Inc. Alternative Data Analytics

    • meyka.com
    Updated Sep 22, 2025
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    Meyka (2025). General Mills, Inc. Alternative Data Analytics [Dataset]. https://meyka.com/stock/GIS/alt-data/
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    Dataset updated
    Sep 22, 2025
    Dataset provided by
    Description

    Non-traditional data signals from social media and employment platforms for GIS stock analysis

  3. a

    Hiring And Retention (Quarterly)

    • strategic-performance-cccd-gis.hub.arcgis.com
    Updated May 1, 2024
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    Clayton County GIS (2024). Hiring And Retention (Quarterly) [Dataset]. https://strategic-performance-cccd-gis.hub.arcgis.com/datasets/hiring-and-retention-quarterly
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    Dataset updated
    May 1, 2024
    Dataset authored and provided by
    Clayton County GIS
    Description

    Departmental-Specific Goals - Hiring and Retention KPIs for Clayton County Police Department.

  4. Gilead Sciences, Inc. Alternative Data Analytics

    • meyka.com
    Updated Oct 14, 2025
    + more versions
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    Meyka (2025). Gilead Sciences, Inc. Alternative Data Analytics [Dataset]. https://meyka.com/stock/GIS.DE/alt-data/
    Explore at:
    Dataset updated
    Oct 14, 2025
    Dataset provided by
    Description

    Non-traditional data signals from social media and employment platforms for GIS.DE stock analysis

  5. a

    Licensed Short-term Rental

    • data-cos-gis.hub.arcgis.com
    • data.scottsdaleaz.gov
    • +4more
    Updated Sep 14, 2023
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    City of Scottsdale GIS (2023). Licensed Short-term Rental [Dataset]. https://data-cos-gis.hub.arcgis.com/datasets/licensed-short-term-rental-
    Explore at:
    Dataset updated
    Sep 14, 2023
    Dataset authored and provided by
    City of Scottsdale GIS
    License

    https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351

    Area covered
    Description

    City of Scottsdale Short-term rental approved licenses. This data is updated daily. Please view the Data Dictionary for a detailed explanation of the data available on this map and the connected table.

  6. m

    PIMCO GIS Income E AUD Hedged Inc Alternative Data Analytics

    • meyka.com
    Updated Sep 24, 2025
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    Meyka (2025). PIMCO GIS Income E AUD Hedged Inc Alternative Data Analytics [Dataset]. https://meyka.com/stock/0P00019PXR.BE/alt-data/
    Explore at:
    Dataset updated
    Sep 24, 2025
    Dataset provided by
    Meyka
    Description

    Non-traditional data signals from social media and employment platforms for 0P00019PXR.BE stock analysis

  7. D

    Rental Units by Affordability Category

    • data.seattle.gov
    • catalog.data.gov
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
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    (2024). Rental Units by Affordability Category [Dataset]. https://data.seattle.gov/dataset/Rental-Units-by-Affordability-Category/cyf7-3ujh
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description
    Displacement risk indicator showing the distribution of renter households and renter units between different income brackets, covering the entire city from 2006 to the most recent year of data available.
  8. D

    Rent Burden Greater than 50%

    • data.seattle.gov
    • catalog.data.gov
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
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    (2024). Rent Burden Greater than 50% [Dataset]. https://data.seattle.gov/dataset/Rent-Burden-Greater-than-50-/v29m-enhz
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description
    Displacement risk indicator showing how many households within the specified groups are facing severely housing cost burden (contributing more than 50% of monthly income toward housing costs).
  9. D

    Rent Burden Greater than 30%

    • data.seattle.gov
    • catalog.data.gov
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
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    (2024). Rent Burden Greater than 30% [Dataset]. https://data.seattle.gov/dataset/Rent-Burden-Greater-than-30-/w4qi-sry8
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    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Displacement risk indicator showing how many households within the specified groups are facing housing cost burden (contributing more than 30% of monthly income toward housing costs).

  10. v

    Business License Short Term Rentals

    • gis.data.vbgov.com
    • data.virginia.gov
    • +2more
    Updated Jul 10, 2023
    + more versions
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    City of Virginia Beach - Online Mapping (2023). Business License Short Term Rentals [Dataset]. https://gis.data.vbgov.com/datasets/business-license-short-term-rentals/about
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    Dataset updated
    Jul 10, 2023
    Dataset authored and provided by
    City of Virginia Beach - Online Mapping
    Description

    This dataset has been published by the Commissioner of Revenue of the City of Virginia Beach and data.vbgov.com. The mission of data.vbgov.com 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. Point of Contact Commissioner of the RevenueCrystal Marcus, Deputy Commissioner for Business Revenue757-385-1375cmarcus@vbgov.com Distribution Distribution liability: By using data made available through this site, the user agrees to all the conditions started in the following paragraphs, as well as, the terms and conditions described in the “Terms of Use” on the “About this Site” page.The City of Virginia Beach makes no claims as to the completeness, accuracy, timeliness, or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the site is being used at one’s own risk. Applications using data supplied by this site must include the following disclaimers on their sites:“The data made available here has been modified for use from its original source, which is the City of Virginia Beach. Neither the City of Virginia Beach nor the Office of the Chief Information Officer (CIO) makes any claims as to the completeness, timeliness, accuracy or content of any data contained in this application; makes any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the information or data furnished herein. The data is subject to change as modifications and updates are complete. It is understood that the information contained in the web feed is being used at one’s own risk.” As found in the “Terms of Use” on the “About this Site” page. Distributed bydata.virginiabeach.gov2405 Courthouse Dr.Virginia Beach, VA 23456 Entity < Business Licenses (Public STR Report)> AttributesColumn: Owner NameDescription: This is the name of the legal owner of the business.Column: Business Address Description: This is the physical location of the business.Column: Telephone Column: Mailing Address: Street Description: This is the mailing address for the business.Column: Mailing Address: City State Zipcode Description: This is the mailing address: City, State and Zip code for the business.Column: Email Address Description: The email address of the business Frequency of dataset updateMonthly Provided byMetadata provided by

  11. PhD Origin and Current Affiliation of Global GIS Faculty

    • figshare.com
    • datasetcatalog.nlm.nih.gov
    xlsx
    Updated Sep 16, 2024
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    Yanbing Chen (2024). PhD Origin and Current Affiliation of Global GIS Faculty [Dataset]. http://doi.org/10.6084/m9.figshare.27023800.v1
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    xlsxAvailable download formats
    Dataset updated
    Sep 16, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Yanbing Chen
    License

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

    Description

    It includes data that support the findings of the study (GIScience Faculty Mobility)

  12. D

    Affordable and Available Rental Units per 100 Households

    • data.seattle.gov
    • catalog.data.gov
    • +1more
    csv, xlsx, xml
    Updated Oct 22, 2024
    + more versions
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    (2024). Affordable and Available Rental Units per 100 Households [Dataset]. https://data.seattle.gov/dataset/Affordable-and-Available-Rental-Units-per-100-Hous/ypxp-w2sx
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Oct 22, 2024
    Description

    Displacement risk indicator showing the number of rental units that are affordable and "available" (not occupied by a higher-income household) for every 100 renter households below a given income level.

  13. s

    Pending Short-term Rental Licences

    • data.scottsdaleaz.gov
    • data-cos-gis.hub.arcgis.com
    • +2more
    Updated Sep 18, 2023
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    City of Scottsdale GIS (2023). Pending Short-term Rental Licences [Dataset]. https://data.scottsdaleaz.gov/datasets/pending-short-term-rental-licences
    Explore at:
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    City of Scottsdale GIS
    License

    https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351https://www.scottsdaleaz.gov/AssetFactory.aspx?did=69351

    Area covered
    Description

    City of Scottsdale Short-term rental licenses currently pending. This data is updated daily. Please view the Data Dictionary for a detailed explanation of the data available on this map and the connected table.

  14. c

    Geographic Information System Software Market was valued at USD 8.5 billion...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jan 1, 2023
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    Cognitive Market Research (2023). Geographic Information System Software Market was valued at USD 8.5 billion in 2022! [Dataset]. https://www.cognitivemarketresearch.com/geographic-information-system-software-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 1, 2023
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    Global Geographic Information System Software Market was valued at USD 8.5 billion in 2022 and will reach USD 21.0 billion by 2030, registering a CAGR of 12.1% for the forecast period 2023-2030. Factor Impacting the Geographic Information System Software Market:

    The development of smart cities and Modern urban Planning is expected to drive the Geographic Information System Software Market
    

    The process of site selection, land acquisition, planning, designing, visualizing, building, project management, operations, and reporting are all aided by geographic information system (GIS) software for smart cities. Moreover, geographic information system (GIS) solutions are used in urban planning by experts to better properly analyze, model, and visualize places. By processing geospatial data from satellite imaging, aerial photography, and remote sensors, geographic information system (GIS) software systems offer a comprehensive perspective of the land and infrastructure. Additionally, the industry for geographic information system software is growing over the forecast period as a result of such geographic information system (GIS) software applications.

    Restraining factor for Geographic Information System Software Market

    The high cost of the system has impacted the Geographic Information System Software Market
    

    The pricey geographic information system will further derail the overall market’s growth. The geographic information system (GIS) is expensive because, in addition to the technology and software, it is necessary to have a properly qualified human workforce. Moreover, Specialized knowledge is needed to comprehend and interpret the information gathered by a geographic information system (GIS) system, which is expensive to hire and train. This factor will therefore obstruct market growth over the forecast period. What is Geographic Information System Software?

    Geographic Information System Software is used to develop, hold, retrieve, organize, display, and perform analyses on many kinds of spatial and geographic data. The geographic information system (GIS) Industry is majorly driven by infrastructural developments, such as smart cities, water and land management, utility, and urban planning. The services segment provides various applications such as location-based services and, thus, is one of the prominent contributors to the market share. Advancements in GIS technologies, such as geo-analytics and integrated location-based data services, are also boosting the adoption of GIS in various regional markets, thereby driving the market demand over the forecast period.

  15. a

    Unlicensed Short-term Rentals

    • hub.arcgis.com
    • data.scottsdaleaz.gov
    • +3more
    Updated Sep 18, 2023
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    City of Scottsdale GIS (2023). Unlicensed Short-term Rentals [Dataset]. https://hub.arcgis.com/maps/COS-GIS::unlicensed-short-term-rentals
    Explore at:
    Dataset updated
    Sep 18, 2023
    Dataset authored and provided by
    City of Scottsdale GIS
    Area covered
    Description

    City of Scottsdale makes no guarantee of the accuracy of data provided to us by Rentalscape regarding potential unlicensed short-term rentals. This data is updated daily. Please view the Data Dictionary for a detailed explanation of the data available on this map and the connected table.

  16. PIMCO GIS plc - Income Fund Alternative Data Analytics

    • meyka.com
    Updated Sep 23, 2025
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    Meyka (2025). PIMCO GIS plc - Income Fund Alternative Data Analytics [Dataset]. https://meyka.com/stock/0P0001518O.SI/alt-data/
    Explore at:
    Dataset updated
    Sep 23, 2025
    Dataset provided by
    Description

    Non-traditional data signals from social media and employment platforms for 0P0001518O.SI stock analysis

  17. d

    Apartment Market Rent Prices by Census Tract

    • catalog.data.gov
    • data.seattle.gov
    • +1more
    Updated Oct 4, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Apartment Market Rent Prices by Census Tract [Dataset]. https://catalog.data.gov/dataset/apartment-market-rent-prices-by-census-tract
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    Dataset updated
    Oct 4, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions: The average rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in average rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Average rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing. Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development

  18. S

    Affordable Rental Housing

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Affordable Rental Housing [Dataset]. https://data.sanjoseca.gov/dataset/affordable-rental-housing
    Explore at:
    arcgis geoservices rest api, csv, zip, html, kml, geojsonAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    This layer contains information on deed restricted affordable rental housing projects in the City of San Jose - with funding committed to, under construction or completed. Data to be edited on a quarterly basis.

    Data is published on Mondays on a weekly basis.

  19. g

    Automated Cycle Hire Stations (MACH)

    • data.glasgow.gov.uk
    • dtechtive.com
    • +4more
    Updated Jun 15, 2023
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    GlasgowGIS (2023). Automated Cycle Hire Stations (MACH) [Dataset]. https://data.glasgow.gov.uk/datasets/automated-cycle-hire-stations-mach
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    Dataset updated
    Jun 15, 2023
    Dataset authored and provided by
    GlasgowGIS
    Area covered
    Description

    Location of automated cycle hire stations situated throughout Glasgow.

  20. H

    Affordable Rental Housing Inventory - HHFDC

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +2more
    Updated Mar 21, 2023
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    Office of Planning (2023). Affordable Rental Housing Inventory - HHFDC [Dataset]. https://opendata.hawaii.gov/dataset/affordable-rental-housing-inventory-hhfdc
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    pdf, ogc wms, kml, arcgis geoservices rest api, csv, zip, html, geojson, ogc wfsAvailable download formats
    Dataset updated
    Mar 21, 2023
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Description

    [Metadata] Inventory of the State of Hawaii’s affordable housing projects as of February 2023. The list includes affordable housing projects owned by private, non-profit, or governmental entities, developed with funding or support from federal, state or county resources. Data was downloaded from the HHFDC website (https://dbedt.hawaii.gov/hhfdc/affordable-housing-inventory/affordable-rental-housing-inventory/) in PDF format by Hawaii Statewide GIS Program staff, converted to Excel and geocoded in ArcGIS Pro. Projects with no addresses were not included. Data updates are posted periodically on the HHFDC website; users should check the site for the latest copy of the PDF file. For more information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/Afford_Rent_Hsng_Inv_HHFDC.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

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Clayton County GIS (2024). Quality Of Hire (Quarterly) [Dataset]. https://strategic-performance-cccd-gis.hub.arcgis.com/datasets/quality-of-hire-quarterly

Quality Of Hire (Quarterly)

Explore at:
Dataset updated
May 24, 2024
Dataset authored and provided by
Clayton County GIS
Description

Professional Growth Management - Provide analytics on hiring and retention.

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