100+ datasets found
  1. w

    Weld County Property Ownership Map

    • gishub.weldgov.com
    • hub.arcgis.com
    Updated Oct 7, 2019
    + more versions
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    WeldCounty (2019). Weld County Property Ownership Map [Dataset]. https://gishub.weldgov.com/documents/d803a62cd16944ab8e57861f8dec0ad4
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    Dataset updated
    Oct 7, 2019
    Dataset authored and provided by
    WeldCounty
    Area covered
    Weld County
    Description

    This map shows the breakdown of parcel ownership in Weld County by surface owner. The parcels that are 40 acres and larger are labeled with the owner name, the parcels that are between 10 acres and 40 acres are labeled with a number that corresponds to the owner name index and everything smaller than 10 acres is too small to label.

  2. d

    California Land Ownership

    • catalog.data.gov
    • data.cnra.ca.gov
    • +8more
    Updated Jul 23, 2025
    + more versions
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    CAL FIRE (2025). California Land Ownership [Dataset]. https://catalog.data.gov/dataset/california-land-ownership-b6394
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    CAL FIRE
    Area covered
    California
    Description

    This dataset was updated April, 2024.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.htmlData 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.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.

  3. 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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    ags_mapserver, jpeg, htmlAvailable 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.

  4. d

    Allegheny County Property Viewer

    • catalog.data.gov
    • data.wprdc.org
    • +4more
    Updated Jan 24, 2023
    + more versions
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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.

  5. 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.

  6. c

    State of Colorado Property Map

    • geodata.colorado.gov
    • hub.arcgis.com
    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

  7. a

    Plat Maps and Land Records

    • gis-bexar.opendata.arcgis.com
    • geoportal-mpo.opendata.arcgis.com
    • +1more
    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.

  8. a

    Natrona County Property & Ownership Data

    • hub.arcgis.com
    • data-cityofcasper.opendata.arcgis.com
    Updated Oct 21, 2017
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    Natrona Regional Geospatial Cooperative (NRGC) (2017). Natrona County Property & Ownership Data [Dataset]. https://hub.arcgis.com/maps/f05f98aaf5ea4f91b1df8a8bb8d97dd5
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    Dataset updated
    Oct 21, 2017
    Dataset authored and provided by
    Natrona Regional Geospatial Cooperative (NRGC)
    Area covered
    Description

    A Web Map displaying the property ownership boundaries within Natrona County, as well as the municipal boundaries, addresses, Improvement Service District boundaries, streets, roads, Township, Range, and Section Boundaries and zoning boundaries.

  9. SPIPublicMapViewer

    • gis.data.ca.gov
    • data.ca.gov
    • +1more
    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 provided by
    California Department of General Services
    Authors
    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

  10. Surface Ownership Parcels, detailed (Feature Layer)

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +7more
    Updated Jul 11, 2025
    + more versions
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    U.S. Forest Service (2025). Surface Ownership Parcels, detailed (Feature Layer) [Dataset]. https://catalog.data.gov/dataset/surface-ownership-parcels-detailed-feature-layer-4c545
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Description

    An area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries. Metadata

  11. m

    Maryland Property Data - Tax Maps Image Service

    • data.imap.maryland.gov
    • data-maryland.opendata.arcgis.com
    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. a

    Government Land Ownership - Detailed

    • hub.arcgis.com
    • opendata.hawaii.gov
    • +2more
    Updated Feb 8, 2014
    + more versions
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    Hawaii Statewide GIS Program (2014). Government Land Ownership - Detailed [Dataset]. https://hub.arcgis.com/maps/HiStateGIS::government-land-ownership-detailed/about
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    Dataset updated
    Feb 8, 2014
    Dataset authored and provided by
    Hawaii Statewide GIS Program
    Area covered
    Description

    [Metadata] Description: Detailed Government Landownership in the State of Hawaii as of 2022: County, Federal, State, and State DHHL Lands (by TMK parcel) Sources: County of Kauai, April, 2022; City & County of Honolulu, April 27, 2022; County of Maui, April, 2022; County of Hawaii, April, 2022; State Department of Hawaiian Home Lands, October, 2022. This dataset was created using ownership information provided by the counties via tax map key parcel layers and ownership tables. Parcels were queried using the "Owner" field for state, county, and federal agency names. State GIS staff verified land ownership using the online service QPublic, the 2022 Department of Hawaiian Home Lands layer and other GIS layers and resources. Where ownership was still unclear, State GIS personnel reached out to appropriate agencies for clarification. Standardization and Summary fields "ownedby," “majorowner” and “type” were created using additional filters and queries. The parcel boundaries are intended to provide a visual reference only and do not represent legal or survey level accuracy. Attributes are for assessment purposes only and are subject to change at any time.For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/gov_own_detailed.pdf or contact the 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.

  13. d

    ORMAP The Oregon Property Tax Map

    • catalog.data.gov
    • data.oregon.gov
    • +1more
    Updated Jun 29, 2025
    + more versions
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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.

  14. w

    Parcels and Land Ownership, This data set consists of digital map files...

    • data.wu.ac.at
    exe, html
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Parcels and Land Ownership, This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions, Published in Not Provided, 1:2400 (1in=200ft) scale, Racine County Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/NGRhNmMyZTgtYjlkNi00NGZlLWIzMjQtMmJmYWIyNzVmNjI5
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    html, exeAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    a4d612e230911404e2c11ef8a9701aa07c5ae40d
    Description

    Parcels and Land Ownership dataset current as of unknown. This data set consists of digital map files containing parcel-level cadastral information obtained from property descriptions. Cadastral features contained in the data set include real property boundary lines, rights-of-way boundaries, property dimensions.

  15. j

    Property Owners' Residency Map

    • data.jerseycitynj.gov
    Updated Dec 14, 2018
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    (2018). Property Owners' Residency Map [Dataset]. https://data.jerseycitynj.gov/explore/dataset/property-owners-residency-map/
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    Dataset updated
    Dec 14, 2018
    Description

    This map compares the residency of Jersey City property owners, i.e. Jersey City versus non-Jersey City.View this map here.

  16. Parcels and Land Ownership, Parcel map was generated based on DeKalb County...

    • data.wu.ac.at
    exe
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). Parcels and Land Ownership, Parcel map was generated based on DeKalb County street centerline, ROW from DeKalb tax map, building structure and DeKalb tax map., Published in 2010, 1:600 (1in=50ft) scale, City of Decatur Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/N2E2M2ViZmUtZWU5NC00ODhmLTk5MDMtM2Y3ZGZlNDlmOGQx
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    exeAvailable download formats
    Dataset updated
    Aug 19, 2017
    Dataset provided by
    National States Geographic Information Council
    Area covered
    DeKalb County, 6a15a5498a31cfbc6d88a603b4c8476442c9ba06
    Description

    Parcels and Land Ownership dataset current as of 2010. Parcel map was generated based on DeKalb County street centerline, ROW from DeKalb tax map, building structure and DeKalb tax map..

  17. V

    State Land

    • data.virginia.gov
    • odgavaprod.ogopendata.com
    • +2more
    Updated Apr 12, 2025
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    Prince William County (2025). State Land [Dataset]. https://data.virginia.gov/dataset/state-land
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    kml, csv, arcgis geoservices rest api, zip, geojson, htmlAvailable download formats
    Dataset updated
    Apr 12, 2025
    Dataset provided by
    Prince William County Department of Information Technology (DoIT), Geographic Information Systems (GIS) Division
    Authors
    Prince William County
    Description

    This data layer contains polygon features representing the approximate size and location of parcels owned by the State of Virginia located within Prince William County, Virginia. It was created to provide basic information regarding property location and boundaries, and is used as a graphical representation of legally recorded deed and plat documents for properties. Parcel ownership and recordation information is not included in this layer but can be purchased seperately from the Office of Real Estate Assessments. Users should be aware that this data does not represent legal property boundary descriptions, nor is it suitable for boundary determination of individual parcels. Any depiction of physical improvements, property lines or boundaries is for general information only and shall not be used for the design modification or construction of improvements to real property or for flood plain determination.

    The layer was derived from a variety of source maps including: mylar county parcel maps, plats of surveys, deed descriptions, subdivision maps, and highway right-of-way plats. These source materials were of several different scales and were from dates ranging from the early 1900's to the present.

  18. V

    Loudoun Parcels

    • data.virginia.gov
    • planning-loudoungis.opendata.arcgis.com
    • +8more
    Updated Apr 15, 2025
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    Loudoun County (2025). Loudoun Parcels [Dataset]. https://data.virginia.gov/dataset/loudoun-parcels
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    arcgis geoservices rest api, geojson, kml, csv, html, zipAvailable download formats
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    Loudoun County GIS
    Authors
    Loudoun County
    Area covered
    Loudoun County
    Description

    Data updated daily.

    A parcel is a tract or plot of land surveyed and defined by legal ownership. Data were compiled from plats and deeds recorded at the Clerk of the Court and from historic tax maps. Source material was digitized or the coordinates were entered into the database via ARC/INFO Coordinate Geometry (COGO). Digital data from engineering companies has also been incorporated for newer subdivisions. A MCPI number is used to identify each parcel, which is a unique ID number further explained below. Purpose: Parcels are used to support a variety of services including assessment, permitting, subdivision review, planning, zoning, and economic development. Parcel data were initially developed to replace existing tax maps. As a result, there are parcel polygons digitized from tax maps that do not represent land parcels but are taxable entities such as leaseholds or easements. Supplemental Information: Data are stored in the corporate ArcSDE Geodatabase as a feature class. The coordinate system is Virginia State Plane (North), Zone 4501, datum NAD83 HARN. Maintenance and Update Frequency: Parcels are updated on an hourly basis from recorded deeds and plats. Depending on volume and date of receipt of recordation information, data may be updated 2-3 weeks following recordation. Completeness Report: Features may have been eliminated or generalized due to scale and intended use. To assist Loudoun County, Virginia in the maintenance of the data, please provide any information concerning discovered errors, omissions, or other discrepancies found in the data. MCPI: 9 digit unique parcel ID that is a combination of: MAP, CELL, and PARCEL. MAP: 3 digit map number (001-701) corresponding with map tile index. CELL: 2 digit map grid location of parcel center; the grid is comprised of 1000 by 1000 ft grid cells numbered as rows and columns (Columns numbered > 5 6 7 8 9 0; Rows numbered > 1 2 3 4). PARCEL: 4 digit location of polygon center based on the 1927 Virginia State Plane coordinate grid where an easting and northing measurement is taken. example: 6654 from: E 2229668 N475545. The MAP, CELL, and PARCEL values of a parcel do not change when a parcel is altered by a boundary line adjustment or becomes residue from a subdivision. The MAP, CELL, and PARCEL values may therefore be inconsistent with the location of polygon center. MAP, CELL, and PARCEL values have been manually altered for some parcels to agree with other databases; as a result, not all parcels can be located by the MAP, CELL, and PARCEL values. Data Owner: Office of Mapping and Geographic Information
  19. j

    Tax Lots

    • gis.jacksoncountyor.gov
    • hub.arcgis.com
    Updated Jul 3, 2015
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    Jackson County GIS (2015). Tax Lots [Dataset]. https://gis.jacksoncountyor.gov/maps/tax-lots
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    Dataset updated
    Jul 3, 2015
    Dataset authored and provided by
    Jackson County GIS
    License

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

    Area covered
    Description

    Updated WeeklyThis data set represents tax lots for Jackson County and includes account info (ownership, assessed and real market values, and building information). Data is updated on a weekly basis from assessor tax parcel information. Where there are several different owners on an individual parcel, multiple parcels polygons will exist since parcel to ownership is not a one to one relationship. Some other fields like year built are populated with the first record if multiple exists. For question about parcel updates or issues please contact the Assessor's Office at (541) 774-6059.

  20. a

    Lot Lookup

    • hub.arcgis.com
    Updated Jul 16, 2015
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    East Baton Rouge GIS Map Portal (2015). Lot Lookup [Dataset]. https://hub.arcgis.com/maps/2bf0dfbba34f40a280efdf42f17d3901
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    Dataset updated
    Jul 16, 2015
    Dataset authored and provided by
    East Baton Rouge GIS Map Portal
    Area covered
    Description

    Web map specifically for linking the Property Detail Lookup Tool to the lot geometry in East Baton Rouge Parish, Louisiana.

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WeldCounty (2019). Weld County Property Ownership Map [Dataset]. https://gishub.weldgov.com/documents/d803a62cd16944ab8e57861f8dec0ad4

Weld County Property Ownership Map

Explore at:
Dataset updated
Oct 7, 2019
Dataset authored and provided by
WeldCounty
Area covered
Weld County
Description

This map shows the breakdown of parcel ownership in Weld County by surface owner. The parcels that are 40 acres and larger are labeled with the owner name, the parcels that are between 10 acres and 40 acres are labeled with a number that corresponds to the owner name index and everything smaller than 10 acres is too small to label.

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