78 datasets found
  1. a

    Commercial Property Finder

    • showcase-mngislis.hub.arcgis.com
    Updated Dec 21, 2022
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    MN GIS/LIS Consortium (2022). Commercial Property Finder [Dataset]. https://showcase-mngislis.hub.arcgis.com/datasets/commercial-property-finder
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    Dataset updated
    Dec 21, 2022
    Dataset authored and provided by
    MN GIS/LIS Consortium
    Description

    About this itemInteractive map showing commercial properties for sale or lease in Burnsville. A creative use of ESRI's ops dashboard to provide users with detailed commercial property information and easy/flexible filtering tools. Includes a link for sellers to add their property to the map for free. The dashboard has almost 5,000 views in 3 years. Author/ContributorMatt TaranOrganizationCity of BurnsvilleOrg Websitewww.burnsvillemn.gov

  2. d

    Tax Administration's Real Estate - Commercial Data

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Apr 22, 2023
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    County of Fairfax (2023). Tax Administration's Real Estate - Commercial Data [Dataset]. https://catalog.data.gov/dataset/tax-administrations-real-estate-commercial-data-27d50
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    Dataset updated
    Apr 22, 2023
    Dataset provided by
    County of Fairfax
    Description

    This table contains information about commercial properties including number of stories, elevators, exterior wall type, floor type and roof type for commercial properties within Fairfax County. There is a one to many relationship to the parcel data. Refer to this document for descriptions of the data in the table.

  3. a

    Real Estate Appraisal Commercial Building 2024

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    Updated Aug 13, 2024
    + more versions
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    Buncombe County (2024). Real Estate Appraisal Commercial Building 2024 [Dataset]. https://data-avl.opendata.arcgis.com/datasets/bunco::real-estate-appraisal-commercial-building-2024
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    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    Buncombe County
    Description

    2024 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains general data on size, value and status of commercial buildings.

  4. a

    Commercial Property

    • gis-mdc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jun 5, 2018
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    Miami-Dade County, Florida (2018). Commercial Property [Dataset]. https://gis-mdc.opendata.arcgis.com/datasets/MDC::commercial-property/about
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    Dataset updated
    Jun 5, 2018
    Dataset authored and provided by
    Miami-Dade County, Florida
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    A point feature class of Commercial Business locations within Miami-Dade County.Updated: Annually The data was created using: Projected Coordinate System: WGS_1984_Web_Mercator_Auxiliary_SphereProjection: Mercator_Auxiliary_Sphere

  5. V

    Commercial Real Estate Listings

    • data.virginia.gov
    Updated Oct 7, 2022
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    Loudoun County (2022). Commercial Real Estate Listings [Dataset]. https://data.virginia.gov/dataset/commercial-real-estate-listings
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    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Oct 7, 2022
    Dataset provided by
    Loudoun County GIS
    Authors
    Loudoun County
    Description

    Commercial property for sale or lease provided by CoStar LoopNet

  6. d

    Air Rights Lot Points

    • catalog.data.gov
    • opendata.dc.gov
    • +2more
    Updated May 21, 2025
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    Department of Buildings (2025). Air Rights Lot Points [Dataset]. https://catalog.data.gov/dataset/air-rights-lot-points
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    Dataset updated
    May 21, 2025
    Dataset provided by
    Department of Buildings
    Description

    Air right lots are reflect a party’s right to construct an improvement above an existing area of land that is not owned by the constructor. They are a type of development right in real estate referring to the empty space about a property. These tax lot numbers start at 7000. There are approximately 704 air rights lots. Non-contiguous Air Rights Lots numbered in 8000 series can either be District owned Multifamily rental units or Existing Development Mixed (residential and commercial).Multifamily 8000 series lots can be proposed development projects that are inclusive of the Mayor’s Office Affordable/Public Housing Initiatives. Additionally, they can either be development sites that are owned by the District and the site is leased to developer. Due to financing and legal requirements, each set of government funded units are required to have separate parcel ID’s (SSL’s). All the units are rentals, none of the units will be for sale.Existing Development Mixed Use 8000 series lots are residential owner(s) that own both residential and commercial portions. The Lot split is done to ensure each party pays the appropriate real estate taxes assessed to each specific use. There is a master covenant lease outlining property access-rights-use between residential and commercial owner and lease holders. There is also a master lease related to the commercial space where the residential owner is the lease holder.

  7. c

    Real Estate (Commercial Details)

    • opendata.charlottesville.org
    • hub.arcgis.com
    • +1more
    Updated May 1, 2018
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    City of Charlottesville (2018). Real Estate (Commercial Details) [Dataset]. https://opendata.charlottesville.org/datasets/real-estate-commercial-details
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    Dataset updated
    May 1, 2018
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    This file includes data pertaining to Commercial Properties. The "ParcelNumber" field can be joined to the "ParcelNumber" field in the "Parcel Area Details" data set for mapping purposes (current parcels only). This data set is updated on a daily basis and reflects the Real Estate system as of the previous business day.

    Note: Active and Retired parcels are included in this dataset so joining this dataset to the datasets: ‘Real Estate (Base Active)’ or ‘Parcel Area Details’ will not result in all parcels matching since ‘Real Estate (Base Active)’ and ‘Parcel Area Details’ only contain currently active parcels.Please refer to this Data Guide for details on how to access and join Real Estate data

  8. b

    Real Estate Appraisal Commercial Building 2019

    • data.buncombecounty.org
    • data-avl.opendata.arcgis.com
    • +1more
    Updated Sep 17, 2019
    + more versions
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    Buncombe County (2019). Real Estate Appraisal Commercial Building 2019 [Dataset]. https://data.buncombecounty.org/datasets/real-estate-appraisal-commercial-building-2019
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    Dataset updated
    Sep 17, 2019
    Dataset authored and provided by
    Buncombe County
    Description

    2019 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains general data on size, value and status of commercial buildings.

  9. d

    Commercial Properties for Sale

    • data-archive.detroitmi.gov
    • detroitdata.org
    • +3more
    Updated Jan 4, 2020
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    City of Detroit (2020). Commercial Properties for Sale [Dataset]. https://data-archive.detroitmi.gov/datasets/commercial-properties-for-sale
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    Dataset updated
    Jan 4, 2020
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    Commercial properties for sale by the City of Detroit.

  10. a

    Real Estate Data Extract CERT21

    • datav3-stlcogis.opendata.arcgis.com
    • data.stlouisco.com
    • +2more
    Updated Jul 6, 2021
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    Saint Louis County GIS Service Center (2021). Real Estate Data Extract CERT21 [Dataset]. https://datav3-stlcogis.opendata.arcgis.com/datasets/real-estate-data-extract-cert21
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    Dataset updated
    Jul 6, 2021
    Dataset authored and provided by
    Saint Louis County GIS Service Center
    Description

    This is a collection of CSV files that contain assessment data. The files in this extract are:Primary Parcel file containing primary owner and land information;Addn file containing drawing vectors for dwelling records;Additional Address file containing any additional addresses that exist for a parcel;Assessment file containing assessed value-related data;Appraisal file containing appraised value-related data;Commercial file containing primary commercial data;Commercial Apt containing commercial apartment data;Commercial Interior Exterior dataDwelling fileEntrance data containing data from appraisers' visits;Other Buildings and Yard ImprovementsSales FileTax Rate File for the current billing cycle by taxing district authority and property class; and,Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included:Data Dictionary PDF; and,St Louis County Rate Book for the current tax billing cycle.

  11. b

    Total Number of Commercial Properties - City

    • data.baltimorecity.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 19, 2020
    + more versions
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    Baltimore Neighborhood Indicators Alliance (2020). Total Number of Commercial Properties - City [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::total-number-of-commercial-properties-city
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    Dataset updated
    Mar 19, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The total number of commercial properties located within an area in a particular year. Source: MdProperty View Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

  12. b

    Real Estate Appraisal Commercial Buildings 2017

    • data.buncombecounty.org
    • hub.arcgis.com
    • +1more
    Updated Jan 12, 2018
    + more versions
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    Buncombe County (2018). Real Estate Appraisal Commercial Buildings 2017 [Dataset]. https://data.buncombecounty.org/datasets/real-estate-appraisal-commercial-buildings-2017
    Explore at:
    Dataset updated
    Jan 12, 2018
    Dataset authored and provided by
    Buncombe County
    Description

    2017 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains general data on size, value and status of commercial buildings.

  13. b

    Percent of Commercial Properties with Rehab Permits Above $5,000 - City

    • data.baltimorecity.gov
    • vital-signs-bniajfi.hub.arcgis.com
    Updated Mar 23, 2020
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    Baltimore Neighborhood Indicators Alliance (2020). Percent of Commercial Properties with Rehab Permits Above $5,000 - City [Dataset]. https://data.baltimorecity.gov/datasets/bniajfi::percent-of-commercial-properties-with-rehab-permits-above-5000-city
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    Dataset updated
    Mar 23, 2020
    Dataset authored and provided by
    Baltimore Neighborhood Indicators Alliance
    Area covered
    Description

    The percentage of properties that are investing within their current establishment and not the level of their investment. Permits for work below $5,000 are considered to be minor and not included in this indicator. A single establishment can apply for and receive multiple permits. Source: Baltimore Department of Housing and Community Development Years Available: 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023

  14. b

    Real Estate Appraisal Commercial Building 2018

    • data.buncombecounty.org
    • data-avl.opendata.arcgis.com
    • +1more
    Updated Oct 19, 2018
    + more versions
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    Buncombe County (2018). Real Estate Appraisal Commercial Building 2018 [Dataset]. https://data.buncombecounty.org/datasets/cec8a128ef6b4c298c20131c0784adfd
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    Dataset updated
    Oct 19, 2018
    Dataset authored and provided by
    Buncombe County
    Description

    2018 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains general data on size, value and status of commercial buildings.

  15. d

    Computer Assisted Mass Appraisal - Commercial

    • catalog.data.gov
    • datasets.ai
    • +3more
    Updated Jun 11, 2025
    + more versions
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    Office of the Chief Financial Officer (2025). Computer Assisted Mass Appraisal - Commercial [Dataset]. https://catalog.data.gov/dataset/computer-assisted-mass-appraisal-commercial-48e20
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    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Office of the Chief Financial Officer
    Description

    Data source is the Office of Tax and Revenue’s Computer-Assisted Mass Appraisal (CAMA) system. The CAMA system is used by the Assessment Division (AD) within the Real Property Tax Administration to value real estate for ad valorem real property tax purposes.The intent of this data is to provide a sale history for active properties listed among the District of Columbia’s real property tax assessment roll. This data is updated daily. The AD constantly maintains sale data, adding new data and updating existing data. Daily updates represent a “snapshot” at the time the data was extracted from the CAMA system, and data is always subject to change.

  16. d

    Premium GIS Data | Asia/ MENA | Latest Estimates on Population, Consuming...

    • datarade.ai
    .json, .csv
    Updated Nov 23, 2024
    + more versions
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    GapMaps (2024). Premium GIS Data | Asia/ MENA | Latest Estimates on Population, Consuming Class, Retail Spend, Demographics | Map Data | Demographic Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-demographics-gis-data-asia-mena-150m-x-1-gapmaps
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Malaysia, Singapore, Saudi Arabia, Philippines, Indonesia, India, Asia
    Description

    Sourcing accurate and up-to-date demographics GIS data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

    GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent geodemographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

    With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

    • Better understand your customers
    • Identify optimal locations to expand your retail footprint
    • Define sales territories for franchisees
    • Run targeted marketing campaigns.

    Premium demographics GIS data for Asia and MENA includes the latest estimates (updated annually) on:

    1. Population (how many people live in your local catchment)
    2. Demographics (who lives within your local catchment)
    3. Worker population (how many people work within your local catchment)
    4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
    5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

    Primary Use Cases for GapMaps Demographics GIS Data:

    1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
    2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
    3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
    4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
    5. Target Marketing: Develop effective marketing strategies to acquire more customers.
    6. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

    7. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

    8. Tenant Recruitment

    9. Target Marketing

    10. Market Potential / Gap Analysis

    11. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

    12. Customer Profiling

    13. Target Marketing

    14. Market Share Analysis

  17. w

    Commercial Properties - MDC_CommercialProperty

    • data.wu.ac.at
    • datadiscoverystudio.org
    xml
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Commercial Properties - MDC_CommercialProperty [Dataset]. https://data.wu.ac.at/schema/data_gov/MmU2MDRjM2YtNjE5Yi00MzYzLTk1NzUtYzY5YWY4MGZiMDZl
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    xmlAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    280a49fc9d32401e4be05ea3b345bff6375afcd7
    Description

    Point layer of Commercial Business locations within Miami-Dade County.

  18. a

    Real Estate Data Extract Billing 2020

    • data-stlcogis.opendata.arcgis.com
    • data2-stlcogis.opendata.arcgis.com
    • +3more
    Updated Oct 23, 2020
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    Saint Louis County GIS Service Center (2020). Real Estate Data Extract Billing 2020 [Dataset]. https://data-stlcogis.opendata.arcgis.com/datasets/ffbd816e3d3f423a80ebf6bd561c09de
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    Dataset updated
    Oct 23, 2020
    Dataset authored and provided by
    Saint Louis County GIS Service Center
    Description

     Primary Parcel file containing primary owner and land information; Addn file containing drawing vectors for dwelling records; Additional Address file containing any additional addresses that exist for a parcel; Assessment file containing assessed value-related data; Appraisal file containing appraised value-related data; Commercial file containing primary commercial data; Commercial Apt containing commercial apartment data; Commercial Interior Exterior data Dwelling file Entrance data containing data from appraisers' visits; Other Buildings and Yard Improvements Sales File Tax Rate File for the current billing cycle by taxing district authority and property class; and, Tax Payments File containing tax charges and payments for current billing cycle.In addition to the CSV files, the following are included: Data Dictionary PDF; and, St Louis County Rate Book for the current tax billing cycle.

  19. a

    Real Estate Appraisal Commercial Refinement 2023

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    • +1more
    Updated Jun 5, 2024
    + more versions
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    Buncombe County (2024). Real Estate Appraisal Commercial Refinement 2023 [Dataset]. https://data-avl.opendata.arcgis.com/maps/bunco::real-estate-appraisal-commercial-refinement-2023
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    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    Buncombe County
    Description

    2023 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and contains data on commercial special features and yard items

  20. a

    Parcels

    • hub.arcgis.com
    • opendata.co.cumberland.nc.us
    Updated Nov 14, 2023
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    Cumberland County, NC (2023). Parcels [Dataset]. https://hub.arcgis.com/datasets/878b32d2b10644d9848325ce99fba001
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    Dataset updated
    Nov 14, 2023
    Dataset authored and provided by
    Cumberland County, NC
    Area covered
    Description

    Detailed information on individual parcels within Cumberland County, NC, including the City of Fayetteville, the Town of Hope Mills, the Town of Spring Lake, the Town of Eastover, the Town of Falcon, the Town of Godwin, the Town of Linden, the Town of Stedman, and the Town of Wade. Attributes include:Parcel REID (PIN Number): A unique identifier assigned to each parcel for tax purposes.Owner Information: Name and contact details of the property owner(s).Parcel Boundaries: Geospatial data defining the exact boundaries of each parcel.Assessed Value: The assessed value of the land and any improvements for property tax purposes.Land Use: Current land use classification (e.g., residential, commercial, agricultural).Size: Area of the parcel in square feet or acres.Zoning: Zoning classification and any applicable zoning restrictions.Legal Descriptions: Detailed legal description of the parcel boundaries and location.This layer is crucial for tax assessors, urban planners, developers, and other stakeholders who require accurate and up-to-date parcel information for decision-making and operational purposes. It supports a wide range of applications, including property tax assessments, land use planning, infrastructure development, and real estate transactions.More information at https://cumberlandgis.maps.arcgis.com/apps/webappviewer/index.html?id=a6ea68995c2349e9a177366288589be7

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MN GIS/LIS Consortium (2022). Commercial Property Finder [Dataset]. https://showcase-mngislis.hub.arcgis.com/datasets/commercial-property-finder

Commercial Property Finder

Explore at:
Dataset updated
Dec 21, 2022
Dataset authored and provided by
MN GIS/LIS Consortium
Description

About this itemInteractive map showing commercial properties for sale or lease in Burnsville. A creative use of ESRI's ops dashboard to provide users with detailed commercial property information and easy/flexible filtering tools. Includes a link for sellers to add their property to the map for free. The dashboard has almost 5,000 views in 3 years. Author/ContributorMatt TaranOrganizationCity of BurnsvilleOrg Websitewww.burnsvillemn.gov

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