80 datasets found
  1. California Land Ownership

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +8more
    Updated Sep 14, 2019
    + more versions
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    California Department of Forestry and Fire Protection (2019). California Land Ownership [Dataset]. https://gis.data.ca.gov/datasets/CALFIRE-Forestry::california-land-ownership
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    Dataset updated
    Sep 14, 2019
    Dataset authored and provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Area covered
    Description

    This dataset was updated May, 2025.This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.The current process for compiling the data sources includes:* Clipping input datasets to the California boundary* Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc)* Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.* Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.* Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs)* In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD* As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset. Data Sources:* GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf* US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore* Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases* Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov* Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html Data Gaps & Changes:Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.25_1: The CPAD Input dataset was amended to merge large gaps in certain areas of the state known to be erroneous, such as Yosemite National Park, and to eliminate overlaps from the original input. The FWS input dataset was updated in February of 2025, and the DOD input dataset was updated in October of 2024. The BIA input dataset was the same as was used for the previous ownership version.24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

  2. a

    Plat Maps and Land Records

    • gis-bexar.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 7, 2024
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    Bexar County (2024). Plat Maps and Land Records [Dataset]. https://gis-bexar.opendata.arcgis.com/documents/b4b6dfe71a5044ae9413cb7c2ee977b3
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    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Bexar County
    Description

    FOR PLAT MAPS AND OTHER LAND DOCUMENTS, PLEASE VISIT THE COUNTY CLERK’S OFFICIAL RECORDS SEARCH: HTTPS://BEXAR.TX.PUBLICSEARCH.US.The Bexar County GIS Team does not have purview over plat maps and other land records. Please visit the Bexar County Clerk’s Official Records Search.

  3. Digital Property Maps

    • open.canada.ca
    • datasets.ai
    • +2more
    html
    Updated Jan 9, 2025
    + more versions
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    Government of New Brunswick (2025). Digital Property Maps [Dataset]. https://open.canada.ca/data/en/dataset/56f75efc-3681-34ce-6440-c2c8a8457332
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    htmlAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    Government of New Brunswickhttps://www.gnb.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Approximate boundaries for all land parcels in New Brunswick. The boundaries are structured as Polygons. The Property Identifier number or PID is included for each parcel.

  4. c

    State of Colorado Property Map

    • geodata.colorado.gov
    Updated Dec 22, 2022
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    State of Colorado (2022). State of Colorado Property Map [Dataset]. https://geodata.colorado.gov/maps/208e4301953543b38316271582040b47
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    Dataset updated
    Dec 22, 2022
    Dataset authored and provided by
    State of Colorado
    Area covered
    Description

    OSA web map to view State of Colorado property data

  5. M

    Minnesota Original Public Land Survey Plat Maps, Digital Images,...

    • gisdata.mn.gov
    • data.wu.ac.at
    ags_mapserver, html +1
    Updated Sep 16, 2023
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    Geospatial Information Office (2023). Minnesota Original Public Land Survey Plat Maps, Digital Images, Geo-referenced [Dataset]. https://gisdata.mn.gov/dataset/plan-glo-plat-maps-georef
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    jpeg, html, ags_mapserverAvailable download formats
    Dataset updated
    Sep 16, 2023
    Dataset provided by
    Geospatial Information Office
    Area covered
    Minnesota
    Description

    Minnesota's original public land survey plat maps were created between 1848 and 1907 during the first government land survey of the state by the U.S. Surveyor General's Office. This collection of more than 3,600 maps includes later General Land Office (GLO) and Bureau of Land Management maps up through 2001. Scanned images of the maps are available in several digital formats and most have been georeferenced.

    The survey plat maps, and the accompanying survey field notes, serve as the fundamental legal records for real estate in Minnesota; all property titles and descriptions stem from them. They also are an essential resource for surveyors and provide a record of the state's physical geography prior to European settlement. Finally, they testify to many years of hard work by the surveying community, often under very challenging conditions.

    The deteriorating physical condition of the older maps (drawn on paper, linen, and other similar materials) and the need to provide wider public access to the maps, made handling the original records increasingly impractical. To meet this challenge, the Office of the Secretary of State (SOS), the State Archives of the Minnesota Historical Society (MHS), the Minnesota Department of Transportation (MnDOT), MnGeo and the Minnesota Association of County Surveyors collaborated in a digitization project which produced high quality (800 dpi), 24-bit color images of the maps in standard TIFF, JPEG and PDF formats - nearly 1.5 terabytes of data. Funding was provided by MnDOT.

    In 2010-11, most of the JPEG plat map images were georeferenced. The intent was to locate the plat images to coincide with statewide geographic data without appreciably altering (warping) the image. This increases the value of the images in mapping software where they can be used as a background layer.

  6. a

    Maine Digital Parcel Viewer Web Map

    • maine.hub.arcgis.com
    • hub.arcgis.com
    • +2more
    Updated May 26, 2017
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    State of Maine (2017). Maine Digital Parcel Viewer Web Map [Dataset]. https://maine.hub.arcgis.com/maps/2541dc7b63ed4a3595a12fa3de91f7b1
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    Dataset updated
    May 26, 2017
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    A web map used to visualize available digital parcel data for Organized Towns and Unorganized Territories throughout the state of Maine. Individual towns submit parcel data on a voluntary basis; the data are compiled by the Maine Office of GIS for dissemination by the Maine GeoLibrary, and where available, the web map also includes assessor data contained in the Parcels_ADB related table.This web map is intended for use within the Maine Geoparcel Viewer Application; it is not intended for use as a standalone web map.Within Maine, real property data is maintained by the government organization responsible for assessing and collecting property tax for a given location. Organized towns and townships maintain authoritative data for their communities and may voluntarily submit these data to the Maine GeoLibrary Parcel Project. Maine Parcels Organized Towns and Maine Parcels Organized Towns ADB are the product of these voluntary submissions. Communities provide updates to the Maine GeoLibrary on a non-regular basis, sometimes many years apart, which affects the currency of Maine GeoLibrary parcels data. Another resource for real property transaction data is the County Registry of Deeds, although organized town data should very closely match registry information, except in the case of in-process property conveyance transactions.

  7. v

    Virginia Parcels (Map Service)

    • virginiaroads.org
    • data.virginia.gov
    • +2more
    Updated Feb 17, 2018
    + more versions
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    Virginia Department of Transportation (2018). Virginia Parcels (Map Service) [Dataset]. https://www.virginiaroads.org/datasets/virginia-parcels-map-service
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    Dataset updated
    Feb 17, 2018
    Dataset authored and provided by
    Virginia Department of Transportation
    Area covered
    Description

    These parcel boundaries represent legal descriptions of property ownership, as recorded in various public documents in the local jurisdiction. The boundaries are intended for cartographic use and spatial analysis only, and not for use as legal descriptions or property surveys. Tax parcel boundaries have not been edge-matched across municipal boundaries.

  8. d

    ORMAP The Oregon Property Tax Map

    • catalog.data.gov
    • data.oregon.gov
    • +1more
    Updated Jun 29, 2025
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    data.oregon.gov (2025). ORMAP The Oregon Property Tax Map [Dataset]. https://catalog.data.gov/dataset/ormap-the-oregon-property-tax-map
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.oregon.gov
    Area covered
    Oregon
    Description

    To access the tax lot layer you will need to contact the county Assessor's office. ORMAP is a statewide digital cadastral base map that is publicly accessible, continually maintained, supports the Oregon property tax system, supports a multi-purpose land information system, strives to comply with appropriate state and national standards, and will continue to be improved over time.

  9. State Land Records

    • geodata.dep.state.fl.us
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Nov 1, 2004
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    Florida Department of Environmental Protection (2004). State Land Records [Dataset]. https://geodata.dep.state.fl.us/datasets/state-land-records
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    Dataset updated
    Nov 1, 2004
    Dataset authored and provided by
    Florida Department of Environmental Protectionhttp://www.floridadep.gov/
    Area covered
    Description

    The Florida TIITF Land Records Spatial Index is a document based GIS layer to be displayed as a map comprised of polygons and attributes representing parcels described in deeds, leases, easements and other instruments archived in the Title Archives of the Division of State Lands, Department of Environmental Protection for the Florida Board of Trustees of the Internal Improvement Trust Fund (TIITF). The polygons represent parcels described in the archived TIITF land record documents; this is not a tax map or a representation of current ownership. The data includes acquisitions, dispositions and encumbrances. Selecting a parcel on the map may return information about several different documents associated with that parcel through out the history of State land transactions involving that parcel.

  10. c

    SPIPublicMapViewer

    • gis.data.ca.gov
    • data.ca.gov
    • +2more
    Updated Jan 11, 2019
    + more versions
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    CA Department of General Services (2019). SPIPublicMapViewer [Dataset]. https://gis.data.ca.gov/maps/8a664a5ab7d148c7907debe4bae4f001
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    Dataset updated
    Jan 11, 2019
    Dataset authored and provided by
    CA Department of General Services
    Area covered
    Description

    Statewide Property Inventory started in 1989 per legislation 11011.15, to begin a pro-active approach to managing the State’s Real Property assets in a computerized format. Having the information in an electronic format makes it available to top level decision-makers considering options for the best use of these assets. The Statewide Property Inventory is mandated to capture detailed information on the following: land owned and leased by the state, structures owned and leased by the state, property the state leases to the private sector. Statewide Property Inventory was established in 1988 by legislative mandate. Leases were added in 2004 by executive order. Data is updated annually by the agencies. Point of Contact: Any questions should be referred to the SPIWeb@dgs.ca.gov

  11. m

    Maryland Property Data - Tax Maps Image Service

    • data.imap.maryland.gov
    • hub.arcgis.com
    • +1more
    Updated Sep 1, 2017
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    ArcGIS Online for Maryland (2017). Maryland Property Data - Tax Maps Image Service [Dataset]. https://data.imap.maryland.gov/datasets/351ef2fd456942919a5c1641608e8197
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    Dataset updated
    Sep 1, 2017
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    This Image Service of Maryland Property Data allows for the manipulation of the display properties of the Statewide Tax Maps dataset. This is a MD iMAP hosted service. Find more information at https://imap.maryland.gov.Image Service Link: https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/ImageServer

  12. d

    Allegheny County Property Viewer

    • catalog.data.gov
    • data.wprdc.org
    • +2more
    Updated Jan 24, 2023
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    Allegheny County (2023). Allegheny County Property Viewer [Dataset]. https://catalog.data.gov/dataset/allegheny-county-property-viewer
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    Dataset updated
    Jan 24, 2023
    Dataset provided by
    Allegheny County
    Area covered
    Allegheny County
    Description

    Webmap of Allegheny municipalities and parcel data. Zoom for a clickable parcel map with owner name, property photograph, and link to the County Real Estate website for property sales information.

  13. NZ Property Titles

    • data.linz.govt.nz
    • geodata.nz
    csv, dwg, geodatabase +6
    Updated May 31, 2011
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    Land Information New Zealand (2011). NZ Property Titles [Dataset]. https://data.linz.govt.nz/x/HfaV2R
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    geodatabase, shapefile, geopackage / sqlite, csv, mapinfo mif, pdf, kml, dwg, mapinfo tabAvailable download formats
    Dataset updated
    May 31, 2011
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Area covered
    New Zealand,
    Description

    This dataset provides title information (excluding ownership) where there is a relationship to one or more primary parcels.

    A Record of Title is a record of a property's owners, legal description and the rights and responsibilities registered against the title.This dataset does not contain any ownership information so that it can be freely distributed. If ownership information is required, you need to apply for access.

    There can be multiple parcels associated with a title, and a title may only have a part share in a parcel. This means the shape representing the title will be an aggregation of all parcels that the title is associated with. The ‘spatial extents shared’ attribute when equal to ‘false’ will indicate that title has exclusive interest over all of the shape (this will be case for the vast majority).

    The originating data for parcel/title associations includes some non-official sources where the official data does not support a link. For more information see the LINZ website

    APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services

  14. m

    Massachusetts Interactive Property Map

    • submitgisdata.mass.gov
    Updated Oct 1, 2014
    + more versions
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    MassGIS - Bureau of Geographic Information (2014). Massachusetts Interactive Property Map [Dataset]. https://submitgisdata.mass.gov/datasets/massachusetts-interactive-property-map
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    Dataset updated
    Oct 1, 2014
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Massachusetts
    Description

    To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

  15. NZ Parcel Boundaries Wireframe

    • data.linz.govt.nz
    Updated May 1, 2015
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    Land Information New Zealand (2015). NZ Parcel Boundaries Wireframe [Dataset]. https://data.linz.govt.nz/set/4769-nz-parcel-boundaries-wireframe/
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    Dataset updated
    May 1, 2015
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    Description

    NZ Parcel Boundaries Wireframe provides a map of land, road and other parcel boundaries, and is especially useful for displaying property boundaries.
    This map service is for visualisation purposes only and is not intended for download. You can download the full parcels data from the NZ Parcels dataset.
    This map service provides a dark outline and transparent fill, making it perfect for overlaying on our basemaps or any map service you choose.
    Data for this map service is sourced from the NZ Parcels dataset which is updated weekly with authoritative data direct from LINZ’s Survey and Title system. Refer to the NZ Parcel layer for detailed metadata.
    To simplify the visualisation of this data, the map service filters the data from the NZ Parcels layer to display parcels with a status of 'current' only.
    This map service has been designed to be integrated into GIS, web and mobile applications via LINZ’s WMTS and XYZ tile services. View the Services tab to access these services.
    See the LINZ website for service specifications and help using WMTS and XYZ tile services and more information about this service.

  16. D

    Property Gateway

    • detroitdata.org
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Apr 28, 2017
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    Oakland County, Michigan (2017). Property Gateway [Dataset]. https://detroitdata.org/dataset/property-gateway3
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    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Apr 28, 2017
    Dataset provided by
    Oakland County, Michigan
    Description

    Property Gateway is a leading-edge Internet tool built to provide free and fee-based online access to Oakland County's land and property information including tax parcel reports and maps. Reports and maps can be purchased via a credit card transaction; recurring users request a business account. Visit Property Gateway, HERE.

  17. Central and Local Government Unregistered Land

    • data.gov.uk
    csv, xls
    Updated Aug 6, 2020
    + more versions
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    Ministry of Housing, Communities and Local Government (2020). Central and Local Government Unregistered Land [Dataset]. https://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land
    Explore at:
    csv, xlsAvailable download formats
    Dataset updated
    Aug 6, 2020
    Authors
    Ministry of Housing, Communities and Local Government
    License

    https://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land#licence-infohttps://data.gov.uk/dataset/4f5ed3a2-1dbc-41bc-ba1b-bf840e781e08/central-and-local-government-unregistered-land#licence-info

    Description

    A list of central and local government land in England, which may not be registered with HM Land Registry (HMLR).

    HMLR has created this dataset for the Ministry for Housing, Communities and Local Government (MHCLG) by combining HMLR freehold polygon data with the public sector ownership data currently openly available from the Office of Government Property.

    The dataset is not definitive or complete as not all central and local government data is captured, and/or available, and the two datasets are not held in the same format. The list is therefore indicative rather than definitive.

    Intellectual Property Rights

    The dataset includes address data processed against Ordnance Survey’s AddressBase Premium product and incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data:

    • for personal and/or non-commercial use
    • in relation to the analysis of public sector land and property.

    If you want to use the Address Data in any other way, you must contact Royal Mail. Email

    Address data

    The following fields comprise the address data included in the dataset

    • Property Name
    • Street No
    • Road
    • Town
    • Postcode
  18. u

    Utah Uintah County Parcels

    • opendata.gis.utah.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Nov 20, 2019
    + more versions
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    Utah Automated Geographic Reference Center (AGRC) (2019). Utah Uintah County Parcels [Dataset]. https://opendata.gis.utah.gov/datasets/utah-uintah-county-parcels/about
    Explore at:
    Dataset updated
    Nov 20, 2019
    Dataset authored and provided by
    Utah Automated Geographic Reference Center (AGRC)
    License

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

    Area covered
    Description

    Update information can be found within the layer’s attributes and in a table on the Utah Parcel Data webpage under Basic Parcels."Database containing parcel boundary, parcel identifier, parcel address, owner type, and county recorder contact information" - HB113. The intent of the bill was to not include any attributes that the counties rely on for data sales. If you want other attributes associated with the parcels you need to contact the county recorder.Users should be aware the owner type field 'OWN_TYPE' in the parcel polygons is a very generalized ownership type (Federal, Private, State, Tribal). It is populated with the value of the 'OWNER' field where the parcel's centroid intersects the CADASTRE.LandOwnership polygon layer.This dataset is a snapshot in time and may not be the most current. For the most current data contact the county recorder.

  19. m

    Maryland Property Data - Tax Map Grids

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +1more
    Updated Apr 1, 2016
    + more versions
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    ArcGIS Online for Maryland (2016). Maryland Property Data - Tax Map Grids [Dataset]. https://data.imap.maryland.gov/datasets/maryland-property-data-tax-map-grids
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    Dataset updated
    Apr 1, 2016
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Area covered
    Description

    This layer contains the boundaries and IDs of the Maryland tax maps produced by Maryland Department of Planning. Tax maps, also known as assessment maps, property maps or parcel maps, are a graphic representation of real property showing and defining individual property boundaries in relationship to contiguous real property.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Feature Service Layer Link:https://mdgeodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/2

  20. a

    Cobb County Parcel Viewer

    • geo-cobbcountyga.hub.arcgis.com
    Updated May 13, 2019
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    Cobb County, Georgia (2019). Cobb County Parcel Viewer [Dataset]. https://geo-cobbcountyga.hub.arcgis.com/app/e22d8c597b4e4762bcd2caa6127696e4
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    Dataset updated
    May 13, 2019
    Dataset authored and provided by
    Cobb County, Georgia
    Description

    GIS Map view look up parcel information including owner, taxes, market value and more.Important Mailing Label Information:The "Mailing Labels" button is is copy of the Parcels Layer and is intended to be turned OFF on the map, and is there just for the "Public Notification" Widget. This widget obtains information on the pop-up of a selected layer to create "Mailing Labels." This said, this layer contains the Owners Mailing Address information. Below is Arcaded used to customize the pop-up:Made three custom Arcade Lines below: Proper($feature["OWNER_NAM1"]) + Proper($feature["OWNER_NAM2"])Proper($feature["OWNER_ADDR"])Proper($feature["OWNER_CITY"]) + ',' + $feature["OWNER_STAT"] + ',' + $feature["OWNER_ZIP"]Below is the custom pop-up:{expression/expr0}{expression/expr1}{expression/expr2}

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California Department of Forestry and Fire Protection (2019). California Land Ownership [Dataset]. https://gis.data.ca.gov/datasets/CALFIRE-Forestry::california-land-ownership
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California Land Ownership

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29 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 14, 2019
Dataset authored and provided by
California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
Area covered
Description

This dataset was updated May, 2025.This ownership dataset was generated primarily from CPAD data, which already tracks the majority of ownership information in California. CPAD is utilized without any snapping or clipping to FRA/SRA/LRA. CPAD has some important data gaps, so additional data sources are used to supplement the CPAD data. Currently this includes the most currently available data from BIA, DOD, and FWS. Additional sources may be added in subsequent versions. Decision rules were developed to identify priority layers in areas of overlap.Starting in 2022, the ownership dataset was compiled using a new methodology. Previous versions attempted to match federal ownership boundaries to the FRA footprint, and used a manual process for checking and tracking Federal ownership changes within the FRA, with CPAD ownership information only being used for SRA and LRA lands. The manual portion of that process was proving difficult to maintain, and the new method (described below) was developed in order to decrease the manual workload, and increase accountability by using an automated process by which any final ownership designation could be traced back to a specific dataset.The current process for compiling the data sources includes:* Clipping input datasets to the California boundary* Filtering the FWS data on the Primary Interest field to exclude lands that are managed by but not owned by FWS (ex: Leases, Easements, etc)* Supplementing the BIA Pacific Region Surface Trust lands data with the Western Region portion of the LAR dataset which extends into California.* Filtering the BIA data on the Trust Status field to exclude areas that represent mineral rights only.* Filtering the CPAD data on the Ownership Level field to exclude areas that are Privately owned (ex: HOAs)* In the case of overlap, sources were prioritized as follows: FWS > BIA > CPAD > DOD* As an exception to the above, DOD lands on FRA which overlapped with CPAD lands that were incorrectly coded as non-Federal were treated as an override, such that the DOD designation could win out over CPAD.In addition to this ownership dataset, a supplemental _source dataset is available which designates the source that was used to determine the ownership in this dataset. Data Sources:* GreenInfo Network's California Protected Areas Database (CPAD2023a). https://www.calands.org/cpad/; https://www.calands.org/wp-content/uploads/2023/06/CPAD-2023a-Database-Manual.pdf* US Fish and Wildlife Service FWSInterest dataset (updated December, 2023). https://gis-fws.opendata.arcgis.com/datasets/9c49bd03b8dc4b9188a8c84062792cff_0/explore* Department of Defense Military Bases dataset (updated September 2023) https://catalog.data.gov/dataset/military-bases* Bureau of Indian Affairs, Pacific Region, Surface Trust and Pacific Region Office (PRO) land boundaries data (2023) via John Mosley John.Mosley@bia.gov* Bureau of Indian Affairs, Land Area Representations (LAR) and BIA Regions datasets (updated Oct 2019) https://biamaps.doi.gov/bogs/datadownload.html Data Gaps & Changes:Known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. Additionally, any feedback received about missing or inaccurate data can be taken back to the appropriate source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.25_1: The CPAD Input dataset was amended to merge large gaps in certain areas of the state known to be erroneous, such as Yosemite National Park, and to eliminate overlaps from the original input. The FWS input dataset was updated in February of 2025, and the DOD input dataset was updated in October of 2024. The BIA input dataset was the same as was used for the previous ownership version.24_1: Input datasets this year included numerous changes since the previous version, particularly the CPAD and DOD inputs. Of particular note was the re-addition of Camp Pendleton to the DOD input dataset, which is reflected in this version of the ownership dataset. We were unable to obtain an updated input for tribral data, so the previous inputs was used for this version.23_1: A few discrepancies were discovered between data changes that occurred in CPAD when compared with parcel data. These issues will be taken to CPAD for clarification for future updates, but for ownership23_1 it reflects the data as it was coded in CPAD at the time. In addition, there was a change in the DOD input data between last year and this year, with the removal of Camp Pendleton. An inquiry was sent for clarification on this change, but for ownership23_1 it reflects the data per the DOD input dataset.22_1 : represents an initial version of ownership with a new methodology which was developed under a short timeframe. A comparison with previous versions of ownership highlighted the some data gaps with the current version. Some of these known gaps include several BOR, ACE and Navy lands which were not included in CPAD nor the DOD MIRTA dataset. Our hope for future versions is to refine the process by pulling in additional data sources to fill in some of those data gaps. In addition, any topological errors (like overlaps or gaps) that exist in the input datasets may thus carry over to the ownership dataset. Ideally, any feedback received about missing or inaccurate data can be taken back to the relevant source data where appropriate, so fixes can occur in the source data, instead of just in this dataset.

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