98 datasets found
  1. K

    Kootenai County, Idaho Zoning

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jun 15, 2022
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    Kootenai County, Idaho (2022). Kootenai County, Idaho Zoning [Dataset]. https://koordinates.com/layer/108711-kootenai-county-idaho-zoning/
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    kml, mapinfo tab, shapefile, csv, dwg, geopackage / sqlite, pdf, mapinfo mif, geodatabaseAvailable download formats
    Dataset updated
    Jun 15, 2022
    Dataset authored and provided by
    Kootenai County, Idaho
    Area covered
    Description

    Geospatial data about Kootenai County, Idaho Zoning. Export to CAD, GIS, PDF, CSV and access via API.

  2. Zoning of Unincorporated Marin County

    • gisopendata.marincounty.gov
    Updated Mar 29, 2023
    + more versions
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    Public ArcGIS Online (2023). Zoning of Unincorporated Marin County [Dataset]. https://gisopendata.marincounty.gov/items/eec281c30e664c75bd568eb61f901544
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    Dataset updated
    Mar 29, 2023
    Dataset provided by
    Authors
    Public ArcGIS Online
    Area covered
    Description

    The zoning map is a composite of zoning designations adopted as resolutions by the Marin County Board of Supervisors. Data extend over Assessor parcel boundaries in the unincorporated area of Marin County, California. The Zoning map denotes the spatial extent of land use designations defined in the Countywide Plan.

  3. Zoning of San Rafael

    • gisopendata.marincounty.gov
    Updated Mar 29, 2023
    + more versions
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    Public ArcGIS Online (2023). Zoning of San Rafael [Dataset]. https://gisopendata.marincounty.gov/datasets/marincounty::zoning-of-san-rafael
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    Dataset updated
    Mar 29, 2023
    Dataset provided by
    Authors
    Public ArcGIS Online
    License

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

    Area covered
    Description

    The Zoning map denotes the spatial extent of land use designations defined in the City of San Rafael Zoning Ordinance/Development Code. Data extend over Assessor parcel boundaries in City of San Rafael.

  4. Parcels Public

    • gisdata.countyofnapa.org
    • hub.arcgis.com
    Updated Aug 15, 2023
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    Napa County GIS | ArcGIS Online (2023). Parcels Public [Dataset]. https://gisdata.countyofnapa.org/datasets/parcels-public-1/about
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    Dataset updated
    Aug 15, 2023
    Dataset provided by
    Authors
    Napa County GIS | ArcGIS Online
    Area covered
    Description

    Public view of the parcel layer. This view is limited to only the attributes that can be seen by the general public.The data table includes the following fields: Shape Type (Shape), Shape.STArea() (Shape_Area), Shape.STLength() (Shape_Area), Name (APN), Created By Record (CreatedbyR), Retired By Record (RetiredbyR), Stated Area, Stated Area Unit (StatedAr_1), Calculated Area (Calculated), Misclose Ratio (MiscloseRa), Misclose Distance (MiscloseDi), Is Seed (IsSeed), Created By (created_us), Created Date (created_da), Modified By (last_edite), Modified Date (last_edi_1), Validation Status (VALIDATION), APN Dashed (APN_Dashed), Map Page (Map_Page), Municipality (Municipali), FloorOrder, HideThere are approximately 51,300 real property parcels in Napa County. Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. GIS parcel boundaries are maintained by the Information Technology Services GIS team. Assessor Parcel Maps are created and maintained by the Assessor Division Mapping Section. Each parcel has an Assessor Parcel Number (APN) that is its unique identifier. The APN is the link to various Napa County databases containing information such as owner name, situs address, property value, land use, zoning, flood data, and other related information. Data for this map service is sourced from the Napa County Parcels dataset which is updated nightly with any recent changes made by the mapping team. There may at times be a delay between when a document is recorded and when the new parcel boundary configuration and corresponding information is available in the online GIS parcel viewer.From 1850 to early 1900s assessor staff wrote the name of the property owner and the property value on map pages. They began using larger maps, called “tank maps” because of the large steel cabinet they were kept in, organized by school district (before unification) on which names and values were written. In the 1920s, the assessor kept large books of maps by road district on which names were written. In the 1950s, most county assessors contracted with the State Board of Equalization for board staff to draw standardized 11x17 inch maps following the provisions of Assessor Handbook 215. Maps were originally drawn on linen. By the 1980’s Assessor maps were being drawn on mylar rather than linen. In the early 1990s Napa County transitioned from drawing on mylar to creating maps in AutoCAD. When GIS arrived in Napa County in the mid-1990s, the AutoCAD images were copied over into the GIS parcel layer. Sidwell, an independent consultant, was then contracted by the Assessor’s Office to convert these APN files into the current seamless ArcGIS parcel fabric for the entire County. Beginning with the 2024-2025 assessment roll, the maps are being drawn directly in the parcel fabric layer.Parcels in the GIS parcel fabric are drawn according to the legal description using coordinate geometry (COGO) drawing tools and various reference data such as Public Lands Survey section boundaries and road centerlines. The legal descriptions are not defined by the GIS parcel fabric. Any changes made in the GIS parcel fabric via official records, filed maps, and other source documents are uploaded overnight. There is always at least a 6-month delay between when a document is recorded and when the new parcel configuration and corresponding information is available in the online parcel viewer for search or download.Parcel boundary accuracy can vary significantly, with errors ranging from a few feet to several hundred feet. These distortions are caused by several factors such as: the map projection - the error derived when a spherical coordinate system model is projected into a planar coordinate system using the local projected coordinate system; and the ground to grid conversion - the distortion between ground survey measurements and the virtual grid measurements. The aim of the parcel fabric is to construct a visual interpretation that is adequate for basic geographic understanding. This digital data is intended for illustration and demonstration purposes only and is not considered a legal resource, nor legally authoritative.

  5. K

    Chesterfield County, Virginia Zoning Boundaries

    • koordinates.com
    csv, dwg, geodatabase +6
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    Chesterfield County, Virginia, Chesterfield County, Virginia Zoning Boundaries [Dataset]. https://koordinates.com/layer/108372-chesterfield-county-virginia-zoning-boundaries/
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    mapinfo tab, pdf, geodatabase, geopackage / sqlite, mapinfo mif, kml, csv, shapefile, dwgAvailable download formats
    Dataset authored and provided by
    Chesterfield County, Virginia
    Area covered
    Description

    Geospatial data about Chesterfield County, Virginia Zoning Boundaries. Export to CAD, GIS, PDF, CSV and access via API.

  6. K

    Halifax County, Virginia Zoning

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jun 22, 2022
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    Halifax County, Virginia Zoning [Dataset]. https://koordinates.com/layer/109149-halifax-county-virginia-zoning/
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    geopackage / sqlite, csv, pdf, dwg, mapinfo tab, shapefile, geodatabase, kml, mapinfo mifAvailable download formats
    Dataset updated
    Jun 22, 2022
    Dataset authored and provided by
    Halifax County, Virginia
    Area covered
    Description

    Geospatial data about Halifax County, Virginia Zoning. Export to CAD, GIS, PDF, CSV and access via API.

  7. Unincorporated Marin County Zoning

    • hub.arcgis.com
    • datatesting-marincounty.opendata.arcgis.com
    Updated Jun 21, 2017
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    Public ArcGIS Online (2017). Unincorporated Marin County Zoning [Dataset]. https://hub.arcgis.com/datasets/6ac17805852b46e69c18ddf7bc6d255c
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    Dataset updated
    Jun 21, 2017
    Dataset provided by
    Authors
    Public ArcGIS Online
    Area covered
    Description

    County of Marin zoning map denoting zoning designations (districts) for unincorporated areas.

  8. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Norfolk County, MA

    • datadiscoverystudio.org
    arce
    Updated Jul 17, 2012
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    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Norfolk County, MA [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/1dbc15347be44948b6296a61de699e47/html
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    arceAvailable download formats
    Dataset updated
    Jul 17, 2012
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Area covered
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

  9. Zoning of Larkspur

    • gisopendata.marincounty.gov
    Updated Mar 29, 2023
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    Public ArcGIS Online (2023). Zoning of Larkspur [Dataset]. https://gisopendata.marincounty.gov/datasets/marincounty::zoning-of-larkspur/about
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    Dataset updated
    Mar 29, 2023
    Dataset provided by
    Authors
    Public ArcGIS Online
    License

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

    Area covered
    Description

    The Zoning map denotes the spatial extent of land use designations defined in the City of Larkspur Zoning. Data extend over Assessor parcel boundaries in City of Larkspur.

  10. County Zoning

    • hub.arcgis.com
    Updated Jun 18, 2019
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    ArcGIS Online (2019). County Zoning [Dataset]. https://hub.arcgis.com/documents/0f3352be1eaa4e6094176096f8296ebc
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    Dataset updated
    Jun 18, 2019
    Dataset provided by
    Authors
    ArcGIS Online
    License

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

    Description

    A map used to identify land use and zoning designations.

  11. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, BENEWAH COUNTY, USA

    • catalog.data.gov
    Updated Nov 8, 2023
    + more versions
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    Federal Emergency Management Agency (Point of Contact) (2023). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, BENEWAH COUNTY, USA [Dataset]. https://catalog.data.gov/dataset/digital-flood-insurance-rate-map-database-benewah-county-usa
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Area covered
    Benewah County, United States
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Transverse Mercator projection and State Plane coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:24,000.

  12. Data from: Official Zoning Map

    • open-centennial.opendata.arcgis.com
    Updated Mar 22, 2016
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    City of Centennial - ArcGIS Online (2016). Official Zoning Map [Dataset]. https://open-centennial.opendata.arcgis.com/datasets/official-zoning-map
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    Dataset updated
    Mar 22, 2016
    Dataset provided by
    Authors
    City of Centennial - ArcGIS Online
    Description

    This is the official Zoning App used on the City's Website.

  13. a

    County Zoning

    • hub.arcgis.com
    • gisdata-centrecountygov.opendata.arcgis.com
    Updated Nov 29, 2016
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    Centre County Government (2016). County Zoning [Dataset]. https://hub.arcgis.com/maps/CentreCountyGov::county-zoning
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    Dataset updated
    Nov 29, 2016
    Dataset authored and provided by
    Centre County Government
    Area covered
    Description

    This is an unofficial zoning layer. This layer is a combination of all municipal zoning layers. The descriptions of the zoning classifications may differ between municipalities even though the code is the same. For the official Zoning layer please refer to the individual municipalities websites.

  14. Zoning of Corte Madera

    • gisopendata.marincounty.gov
    • share-open-data-marincounty.hub.arcgis.com
    Updated Mar 29, 2023
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    Public ArcGIS Online (2023). Zoning of Corte Madera [Dataset]. https://gisopendata.marincounty.gov/items/35b1df4f87d04cb7a17b3bda6aaaf0bf
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    Dataset updated
    Mar 29, 2023
    Dataset provided by
    Authors
    Public ArcGIS Online
    License

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

    Area covered
    Description

    The Zoning map denotes the spatial extent of land use designations defined in the Town of Corte Madera Zoning Ordinance/Development Code. Data extend over Assessor parcel boundaries in Town of Corte Madera's Sphere of Influence.

  15. Zoning of Tiburon

    • gisopendata.marincounty.gov
    Updated Mar 29, 2023
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    Public ArcGIS Online (2023). Zoning of Tiburon [Dataset]. https://gisopendata.marincounty.gov/datasets/marincounty::zoning-of-tiburon
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    Dataset updated
    Mar 29, 2023
    Dataset provided by
    Authors
    Public ArcGIS Online
    License

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

    Area covered
    Description

    The Zoning map denotes the spatial extent of land use designations defined in the Town of Tiburon Zoning Ordinance/Development Code. Data extend over Assessor parcel boundaries in Town of Tiburon.

  16. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Northumberland County, VA, USA

    • data.wu.ac.at
    arce +2
    Updated Nov 14, 2017
    + more versions
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    Federal Emergency Management Agency, Department of Homeland Security (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, Northumberland County, VA, USA [Dataset]. https://data.wu.ac.at/schema/data_gov/MWFjZTVhMjctMjcxNi00ZGEzLTk1N2MtYzcyNzgwNzQxNThj
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    arce, mapinfo interchange file (mif), shpAvailable download formats
    Dataset updated
    Nov 14, 2017
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    U.S. Department of Homeland Securityhttp://www.dhs.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    26580e113fe8c41d9f9cec0d7f6c3d10b5dd23f2, United States
    Description

    The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the Universal Transverse Mercator Coordinate System (ZONE 18N) and Lambert Conformal conic projection.F The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  17. Mora County Flood Insurance Rate Map (FIRM)

    • catalog.data.gov
    • gstore.unm.edu
    • +2more
    Updated Dec 2, 2020
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    Federal Emergency Management Agency (Point of Contact) (2020). Mora County Flood Insurance Rate Map (FIRM) [Dataset]. https://catalog.data.gov/dataset/mora-county-flood-insurance-rate-map-firm
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    Federal Emergency Management Agencyhttp://www.fema.gov/
    Area covered
    Mora County
    Description

    This dataset contains the scanned, paper flood insurance rate maps (FIRMs) developed by FEMA and available from the Mapping Service Center.

  18. Maryland Property Data - Tax Map Grids

    • data.imap.maryland.gov
    • data-maryland.opendata.arcgis.com
    • +1more
    Updated Apr 1, 2016
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    ArcGIS Online for Maryland (2016). Maryland Property Data - Tax Map Grids [Dataset]. https://data.imap.maryland.gov/datasets/dc2d4fec9e814cb98b418babffec16a4
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    Dataset updated
    Apr 1, 2016
    Dataset provided by
    Authors
    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://geodata.md.gov/imap/rest/services/PlanningCadastre/MD_PropertyData/MapServer/2

  19. Data from: Digital Surface Model (DSM) shaded relief from 2005 LiDAR for the...

    • search.dataone.org
    • portal.edirepository.org
    Updated Apr 11, 2019
    + more versions
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    Robert Anderson (2019). Digital Surface Model (DSM) shaded relief from 2005 LiDAR for the Green Lakes Valley, Colorado [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-nwt%2F736%2F2
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    Dataset updated
    Apr 11, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Robert Anderson
    Time period covered
    Sep 29, 2005
    Area covered
    Description

    This 1m Digital Surface Model (DSM) shaded relief is derived from first-stop Light Detection and Ranging (LiDAR) point cloud data from September 2005 for the Green Lakes Valley, near Boulder Colorado. The DSM was created from LiDAR point cloud tiles subsampled to 1-meter postings, acquired by the National Center for Airborne Laser Mapping (NCALM) project. This data was collected in collaboration between the University of Colorado, Institute of Arctic and Alpine Research (INSTAAR) and NCALM, which is funded by the National Science Foundation (NSF). The DSM shaded relief has the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. Total area imaged is 35 km^2. The LiDAR point cloud data was acquired with an Optech 1233 Airborne Laser Terrain Mapper (ALTM) and mounted in a twin engine Piper Chieftain (N931SA) with Inertial Measurement Unit (IMU) at a flying height of 600 m. Data from two GPS (Global Positioning System) ground stations were used for aircraft trajectory determination. The continuous DSM surface was created by mosaicing and then kriging 1 km2 LiDAR point cloud LAS-formated tiles using Golden Software's Surfer 8 Kriging algorithm. Horizontal accuracy and vertical accuracy is unknown. cm RMSE at 1 sigma. The layer is available in GEOTIF format approx. 265 MB of data. It has a UTM zone 13 projection, with a NAD83 horizonal datum and a NAVD88 vertical datum computed using NGS GEOID03 model, with FGDC-compliant metadata. This shaded relief model was also generated. A similar layer, the Digital Terrain Model (DTM), is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. A processing report and readme file are included with this data release. The DSM dataset is available through an unrestricted public license. The LiDAR DEMs will be of interest to land managers, scientists, and others for study of topography, ecosystems, and environmental change. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

  20. Draft New UDO Zoning

    • live-durhamnc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 11, 2024
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    City and County of Durham, NC (ArcGIS Online) (2024). Draft New UDO Zoning [Dataset]. https://live-durhamnc.opendata.arcgis.com/datasets/draft-new-udo-zoning
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    Dataset updated
    Dec 11, 2024
    Dataset provided by
    Authors
    City and County of Durham, NC (ArcGIS Online)
    Area covered
    Description

    The Durham City-County Planning Department is in the processing of writing a New UDO along with a new zoning map. This zoning map will help the Durham community review what upcoming changes may occur and allow public participation throughout the process. This zoning map will be revised throughout the drafting process and may change without public notice until the adoption of the New UDO and Zoning Map. For more questions about the New UDO and the New Zoning Map, contact the Planning Department at NewUDO@DurhamNC.gov

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Kootenai County, Idaho (2022). Kootenai County, Idaho Zoning [Dataset]. https://koordinates.com/layer/108711-kootenai-county-idaho-zoning/

Kootenai County, Idaho Zoning

Explore at:
kml, mapinfo tab, shapefile, csv, dwg, geopackage / sqlite, pdf, mapinfo mif, geodatabaseAvailable download formats
Dataset updated
Jun 15, 2022
Dataset authored and provided by
Kootenai County, Idaho
Area covered
Description

Geospatial data about Kootenai County, Idaho Zoning. Export to CAD, GIS, PDF, CSV and access via API.

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