30 datasets found
  1. c

    GIS Data Viewer New

    • opendata.co.cumberland.nc.us
    • co-cumberlandgis.opendata.arcgis.com
    • +1more
    Updated Nov 14, 2019
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    Cumberland County, NC (2019). GIS Data Viewer New [Dataset]. https://opendata.co.cumberland.nc.us/maps/d203e928181d46658f26fb3b5947921c
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    Dataset updated
    Nov 14, 2019
    Dataset authored and provided by
    Cumberland County, NC
    Area covered
    Description

    The Cumberland County GIS Data Viewer provides the general public with parcel, zoning, hydrology, soils, utilities and topographic data. You can search for a specific address, street name, parcel number (PIN), or by the owner's name.

  2. n

    The Value of GIS in North Carolina

    • nconemap.gov
    • nc-onemap-2-nconemap.hub.arcgis.com
    • +1more
    Updated Jun 11, 2024
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    NC OneMap / State of North Carolina (2024). The Value of GIS in North Carolina [Dataset]. https://www.nconemap.gov/documents/903ea871de274790812b113db2b0e8fd
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    Dataset updated
    Jun 11, 2024
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Area covered
    North Carolina
    Description

    Take a self-paced tour through interactive presentations and maps that highlight just how vital GIS is to providing clean water, safe communities, reliable transportation, and environmental responsibility to North Carolina citizens.

  3. a

    Real Property Search

    • hub.arcgis.com
    Updated May 2, 2023
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    City and County of Durham, NC (ArcGIS Online) (2023). Real Property Search [Dataset]. https://hub.arcgis.com/documents/f9fbe50709aa455898aa3e9fafc3521f
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    Dataset updated
    May 2, 2023
    Dataset authored and provided by
    City and County of Durham, NC (ArcGIS Online)
    Description

    The Real Property Records Search allows the user to obtain ownership information as of January 1, value of improvements and land, photo of improvement, sales information for the last three (3) years, view the tax bill and GIS Mapping information associated with a parcel.Disclaimer: Data presented on the Tax Administration Records Search website is extracted from actual public records. Users are hereby notified that the aforementioned public primary information sources should be consulted for verification of the information contained on this website. While our department has made every effort to use the most current and accurate data, the County of Durham and software companies assume no legal responsibility for the information contained in the Tax Administration Records Search website. Please direct any questions or comments about the data displayed here to tax_assessor@dconc.gov.

  4. 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
    Area covered
    Cobb County
    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}

  5. GRASS GIS Location for urban growth case study in Triangle area, NC, USA

    • zenodo.org
    zip
    Updated Aug 3, 2023
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    Anna Petrasova; Anna Petrasova (2023). GRASS GIS Location for urban growth case study in Triangle area, NC, USA [Dataset]. http://doi.org/10.5281/zenodo.8206464
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    zipAvailable download formats
    Dataset updated
    Aug 3, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anna Petrasova; Anna Petrasova
    License

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

    Area covered
    Research Triangle Park, United States, North Carolina
    Description

    GRASS GIS Location containing data prepared for a FUTURES urban growth modeling case study for the broader Raleigh-Durham area in North Carolina, USA. Contains NLCD 2001-2019 (land cover for all years; 2001 and 2019 impervious descriptor), county boundaries, USGS DEM, PAD-US protected areas.

  6. d

    Protected Areas Database of the United States (PAD-US)

    • search.dataone.org
    • datadiscoverystudio.org
    • +1more
    Updated Oct 26, 2017
    + more versions
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    US Geological Survey (USGS) Gap Analysis Program (GAP) (2017). Protected Areas Database of the United States (PAD-US) [Dataset]. https://search.dataone.org/view/0459986b-9a0e-41d9-9997-cad0fbea9c4e
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    Dataset updated
    Oct 26, 2017
    Dataset provided by
    USGS Science Data Catalog
    Authors
    US Geological Survey (USGS) Gap Analysis Program (GAP)
    Time period covered
    Jan 1, 2005 - Jan 1, 2016
    Area covered
    Variables measured
    Shape, Access, Des_Nm, Des_Tp, Loc_Ds, Loc_Nm, Agg_Src, GAPCdDt, GAP_Sts, GIS_Src, and 20 more
    Description

    The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

  7. a

    NCDOT Mitigation Site Points Shapefile

    • hub.arcgis.com
    Updated Jul 18, 2012
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    North Carolina Department of Transportation (2012). NCDOT Mitigation Site Points Shapefile [Dataset]. https://hub.arcgis.com/datasets/c12d48f901fc4fddb13d90572d114433
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    Dataset updated
    Jul 18, 2012
    Dataset authored and provided by
    North Carolina Department of Transportation
    License

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

    Description

    Please read all of the information below before downloading and using this file. Overview: The purpose of this file is to allow NCDOT employees to track and locate areas that need to be preserved and/or maintained for mitigation credit as part of various permits. They include projects built both off- and onsite throughout the state, as well as projects done as full delivery from consultants and projects partially built or managed by other agencies (e.g. NC Ecosystem Enhancement Program or EEP). The sites in this service are only a portion of the known sites in the state, as the database they were pulled from is a work in progress. These files should not be used or cited in official documents. Feel free to contact us regarding specific sites as we may have more particular information available. We also ask that any information you may have on any sites that are missing data or are omitted be shared with us so we can improve our database. You can access monitoring reports and permits for some sites and projects by clicking the link in the “NCDOT Permits and Monitoring Reports” field (“hypWeblink” from the query results view) and navigating the appropriate page. Full metadata should be included with a download of this file. If not, please contact ddjohnson[at]ncdot.gov and a copy will be provided. You may also download a pdf of the metadata here. We ask that this file not be distributed without metadata. You can find a map containing these data here here. Known Issues: Site Boundaries – The majority of these sites do have a corresponding boundary, and its source would be denoted in the “Boundary Source” field (“BoundSrc” in the query results view). Due to data collection and conversion limitations, we cannot guarantee the accuracy of site boundaries. To assist with gauging the degree of accuracy, the "Boundary Source" field can tell you where the boundary originated. However, it should be noted that even boundaries taken from surveys can misrepresent the site if the boundary shifted during the conversion from CAD formats. We are in the process of reviewing the information we have and making further documentation of available parcel and conservation easement data to cut down on uncertainty where possible. Some locations have been taken from files provided by the Ecosystem Enhancement Program (as noted in the "Boundary Source" field). EEP quality control/quality assurance is on-going. Please contact EEP for the most recent information about specific project areas. Sites whose property documents have been collected and published by EEP will have a link in the “EEP Property Documents” field (“EEP_Folio” from the query results). Status attribute - This refers to the last-known status of a project, which may be only current as of the date the project was entered in the database. A project having a boundary does not mean that it has been completed or that it will be, so be sure to find the current status of any project before making any decisions regarding the area. River Basin - The river basin names and 8-digit hydrologic unit codes (HUCs; called CU or catalog units in the attributes) in these files may differ from what some organizations are using. These are from a boundary file released by CGIA in 2008. Contact Dave Johnson with any questions related to the contents of this service: ddjohnson[at]ncdot.gov 919-707-6130

  8. a

    Real Estate Appraisal Land Records 2022

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    Updated Sep 22, 2022
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    Buncombe County (2022). Real Estate Appraisal Land Records 2022 [Dataset]. https://data-avl.opendata.arcgis.com/datasets/bunco::real-estate-appraisal-land-records-2022
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    Dataset updated
    Sep 22, 2022
    Dataset authored and provided by
    Buncombe County
    Description

    2022 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database

  9. d

    U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2

    • search.dataone.org
    • data.globalchange.gov
    • +3more
    Updated Dec 1, 2016
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    U.S. Geological Survey Gap Analysis Program, Anne Davidson, Spatial Ecologist (2016). U.S. Geological Survey Gap Analysis Program- Land Cover Data v2.2 [Dataset]. https://search.dataone.org/view/083f5422-3fb4-407c-b74a-a649e70a4fa9
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    Dataset updated
    Dec 1, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    U.S. Geological Survey Gap Analysis Program, Anne Davidson, Spatial Ecologist
    Time period covered
    Jan 1, 1999 - Jan 1, 2001
    Area covered
    Variables measured
    CL, SC, DIV, FRM, OID, RED, BLUE, COUNT, GREEN, VALUE, and 9 more
    Description

    This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

  10. a

    Real Estate Appraisal Land Records 2018

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    • +1more
    Updated Oct 22, 2018
    + more versions
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    Buncombe County (2018). Real Estate Appraisal Land Records 2018 [Dataset]. https://data-avl.opendata.arcgis.com/datasets/bunco::real-estate-appraisal-land-records-2018
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    Dataset updated
    Oct 22, 2018
    Dataset authored and provided by
    Buncombe County
    Description

    2018 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database

  11. a

    Real Estate Appraisal Legal Reference Lookup 2023

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.buncombecounty.org
    • +1more
    Updated Jun 5, 2024
    + more versions
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    Buncombe County (2024). Real Estate Appraisal Legal Reference Lookup 2023 [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/282132c4682f47a5be9b1588a9124a14
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    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    Buncombe County
    Description

    2023 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and is the lookup table for legal instrument types

  12. K

    Charlotte, NC Colleges Parcel Data

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 12, 2018
    + more versions
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    City of Charlotte, North Carolina (2018). Charlotte, NC Colleges Parcel Data [Dataset]. https://koordinates.com/layer/96930-charlotte-nc-colleges-parcel-data/
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    mapinfo tab, mapinfo mif, csv, kml, shapefile, geodatabase, geopackage / sqlite, pdf, dwgAvailable download formats
    Dataset updated
    Sep 12, 2018
    Dataset authored and provided by
    City of Charlotte, North Carolina
    Area covered
    Description

    Spatial Dataset used to display Colleges and Universities in Mecklenburg County, North Carolina. This dataset includes attributes such as name of the the college and the enrolment numbers.

    © Data is collected and maintained by The Charlotte Mecklenburg Planning Department. This layer is a component of Dynamic_ISP_DataRemap.

  13. b

    Real Estate Appraisal Owner Lookup 2018

    • data.buncombecounty.org
    • data-bunco.opendata.arcgis.com
    • +1more
    Updated Oct 19, 2018
    + more versions
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    Buncombe County (2018). Real Estate Appraisal Owner Lookup 2018 [Dataset]. https://data.buncombecounty.org/datasets/real-estate-appraisal-owner-lookup-2018/data
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    Dataset updated
    Oct 19, 2018
    Dataset authored and provided by
    Buncombe County
    Description

    2018 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and is the lookup table to connect OwnerId to names and contact information.

  14. a

    MAR Address Points – Wake County, NC

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.wake.gov
    • +2more
    Updated May 17, 2024
    + more versions
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    Wake County (2024). MAR Address Points – Wake County, NC [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/Wake::mar-address-points-wake-county-nc
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    Dataset updated
    May 17, 2024
    Dataset authored and provided by
    Wake County
    Area covered
    Description

    This GIS layer serves as the authoritative source for active site addresses and their respective feature types within Wake County, including municipalities that extend beyond the county boundary. These addresses are stored and maintained in the Wake County Multi-jurisdiction Address Repository (MAR).The comprehensive dataset includes address information such as street name, postal city, state, and zip code, as well as subaddresses for apartments, condos, and office suites. Additionally, the addresses contain attributes related to the incorporated area, planning jurisdiction, and addressing authority.The addresses were compiled from various sources, including tax records, permit systems, utility services, and more. Points are accurately positioned on building footprints or the best available locations and are updated nightly.Help Link:Data dictionary and feature type definitions are available here.

  15. a

    Tax Parcel Data

    • gisdata-cc-gis.opendata.arcgis.com
    Updated Sep 15, 2017
    + more versions
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    Carteret County GIS (2017). Tax Parcel Data [Dataset]. https://gisdata-cc-gis.opendata.arcgis.com/maps/945c7ce68695442bb59a8d12e0139121
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    Dataset updated
    Sep 15, 2017
    Dataset authored and provided by
    Carteret County GIS
    License

    http://www.carteretcountync.gov/DocumentCenter/View/4659http://www.carteretcountync.gov/DocumentCenter/View/4659

    Area covered
    Description

    This data provides the geographic location for parcel boundary lines within the jurisdiction of the Carteret County, NC and is based on recorded surveys and deeds. This dataset is maintained by the Carteret County Mapping/Land Records Division. Data is updated on an as needed basis. The description for each field name in the layer is included below:PIN: first 8 digits of PIN15; this would include the MAPNUM, SUBMAP, and BLOCKMAPNUM: first 4 digits of PIN15BLOCK: two digit block number found on old mylars; also digits number 7 and 8 of the PIN15PDOT: part of the PIN15; digits number 9-12 (before the last 3 digits of the PIN15)MAPNAM: first 6 digits of PIN15 map and submapAll fields above are parts of the PIN15 (primary parcel identifier), which is determined by the location of the centroid of a parcel within the State Plane NC Grid SystemCONDO_: condo unit number and also the last 3 digits of the PIN15MOTHER: if a parcel was split from another parcel, the new parcel number would be considered the child and the original would be considered the parent or motherPRID: old parcel number style based on prior mapping system before NC Grid system mapsPIN15: the primary tax parcel identifierWHAT: acreage calculated within ArcGISDeedDate_2: unused fieldOWNER: tax parcel ownerDBOOK: deed book containing most recent deed to propertyDPAGE: deed page containing most recent deed to propertyDDATE: most recent deed date for propertySALE_PRICE: recorded sale priceLAND_VALUE: value of land on propertySTRUC_VAL: value of structure(s) on propertyOTHER_VAL: other value of the propertyBLT_CONDO: year condo was builtMAIL_APT: property owner mailing address unitMAIL_HOUSE: property owner mailing address house numberMAIL_DIR: property owner mailing address street directionalMAIL_ST: property owner mailing address street nameMAIL_STTYP: property owner mailing address street suffix (e.g. Dr., St. etc.)MAIL_CITY: mailing address cityMAIL_STATE: mailing address stateMAIL_ZI4: mailing address zip +4MAIL_ZI5: mailing address zip codeMAIL_ADD2: mailing address additional part (e.g. P.O. Box)TOWNSHIP: township codeCITY_LIMIT: the city limit that the parcel is withinNBHD: Neighborhood codeFIRE_DIST: fire district that the parcel is withinRESCUE_DST: rescue district that the parcel is withinLEGAL_DSC: legal descriptionTOTAL_ACR: total deeded acreageY_BLT_HOUS: year house was builtTOT_SQ_FT: total square footage of structure on propertyROLL_TYPE: roll type of property (regularly taxed property or tax-exempt)BATHROOMS: number of bathroomsBEDROOMS: number of bedroomsSITE_HOUSE: site address house numberSITE_ST: site address street nameSITE_DIR: site address street directionalSITE_STTYP: site address street suffix (e.g. Dr., St., etc.)SITE_APTNO: site address unitSITE_CITY: site address city/communityExpr1: old deed date field; not usedTotal_EMV: total estimated tax valueUse_Val: plat book containing survey of propertyDef_Val: plat page containing survey of propertyMAIL_APT_N: mailing address unit (not used)CONDO_SQFT: condo unit square footageDistrict: district code (indicates the community)CONDO_NUM: condo number of floorsTowns_Desc: township nameTrue_City: true city Use_code: land use codeUse_desc: land use descriptionPerm_N1: permit #1Perm_N2: permit #2Perm_Ty1: permit #1 typePerm_Ty2: permit #2 typePerm_De1: permit #1 descriptionPerm_De2: permit #2 descriptionPerm_Is1: permit #1 issue datePerm_Is2: permit #2 issue dateSCH_Dat1: permit #1 scheduled completion dateSCH_Dat2: permit #2 scheduled completion dateACTL_DA1: permit #1 actual completion date ACTL_DA2: permit #2 actual completion dateFondTyp1: foundation type 1FondDes1: foundation type 1 descriptionFondTyp2: foundation type 2FondDes2: foundation type 2 descriptionExWllTyp1: exterior wall type 1ExWllDes1: exterior wall type 1 descriptionExWllTyp2: exterior wall type 2ExWllDes2: exterior wall type 2 descriptionHeatTyp1: heating type 1HeatDes1: heating type 1 descriptionHeatTyp2: heating type 2HeatDes2: heating type 2 descriptionFlrTyp1: flooring type 1FlrDes1: flooring type 1 descriptionFlrTyp2: flooring type 2FlrDes2: flooring type 2 descriptionCondCod: condition codeCondDes: condition descriptionRStrTyp1: roof structure type 1RStrDes: roof structure type 1 descriptionRStrTyp2: roof structure type 2RStrDes2: roof structure type 2 descriptionRCovTyp1: roof covering type 1RCovDes1: roof covering type 1 descriptionRCovTyp2: roof covering type 2RCovDes2: roof covering type 2 descriptionaicuz: stands for "Air Installation Compatible Use Zone"; planning zones pertaining to military air bases and the surrounding real estateRisk_level: risk level for military air plane accident potential within the AICUZ zonesNoise_lvl: noise level zones surrounding military air basesHtdSqFt: heated square footage of structure on the property

  16. b

    Unpaid Property Bills from 2024

    • data.buncombecounty.org
    • data-bunco.opendata.arcgis.com
    • +1more
    Updated Mar 7, 2024
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    Buncombe County (2024). Unpaid Property Bills from 2024 [Dataset]. https://data.buncombecounty.org/datasets/unpaid-property-bills-from-2024/about
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    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Buncombe County
    Description

    Ownership, Values, Amounts, and Billing information of all unpaid bills for Buncombe County for 2024

  17. a

    Real Estate Appraisal Land Records 2020

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    Updated Apr 27, 2021
    + more versions
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    Buncombe County (2021). Real Estate Appraisal Land Records 2020 [Dataset]. https://data-avl.opendata.arcgis.com/items/3120a98ad11b428cbbe8f76a2ab90d71
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    Dataset updated
    Apr 27, 2021
    Dataset authored and provided by
    Buncombe County
    Description

    2020 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database

  18. a

    Real Estate Appraisal Land Records 2019

    • data-avl.opendata.arcgis.com
    • data.buncombecounty.org
    Updated Sep 17, 2019
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    Buncombe County (2019). Real Estate Appraisal Land Records 2019 [Dataset]. https://data-avl.opendata.arcgis.com/datasets/bunco::real-estate-appraisal-land-records-2019
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    Dataset updated
    Sep 17, 2019
    Dataset authored and provided by
    Buncombe County
    Description

    2019 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database

  19. a

    North Carolina Mining Permits

    • data-ncdenr.opendata.arcgis.com
    Updated Feb 11, 2021
    + more versions
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    NC Dept. of Environmental Quality (2021). North Carolina Mining Permits [Dataset]. https://data-ncdenr.opendata.arcgis.com/maps/630920757b594402904e96f9af31562b
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    Dataset updated
    Feb 11, 2021
    Authors
    NC Dept. of Environmental Quality
    Area covered
    Description

    This map shows the NC Mining Permits which includes the Pending, Active, Inactive, Release, and Revoked Mining permits in North Carolina. There is additional information within the dataset that includes commodity type, and permitted acres. Each permit is labeled with the permittee and the name of the mine.List of Layers:NC Mining PermitsContacts:Data and Map Contact: Adam Parr (adam.parr@ncdenr.gov)Data is maintained by North Carolina Department of Environmental Quality, Division of Energy, Mineral and Land Resources, Mining Program.

  20. a

    Real Estate Appraisal Owner Lookup 2023

    • hub.arcgis.com
    • data.buncombecounty.org
    • +1more
    Updated Jun 5, 2024
    + more versions
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    Buncombe County (2024). Real Estate Appraisal Owner Lookup 2023 [Dataset]. https://hub.arcgis.com/maps/bunco::real-estate-appraisal-owner-lookup-2023/about
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset authored and provided by
    Buncombe County
    Description

    2023 Real Estate Appraisal Data for Buncombe County, NC. This data is an export from the CAMA database and is the lookup table to connect OwnerId to names and contact information.

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Cumberland County, NC (2019). GIS Data Viewer New [Dataset]. https://opendata.co.cumberland.nc.us/maps/d203e928181d46658f26fb3b5947921c

GIS Data Viewer New

Explore at:
Dataset updated
Nov 14, 2019
Dataset authored and provided by
Cumberland County, NC
Area covered
Description

The Cumberland County GIS Data Viewer provides the general public with parcel, zoning, hydrology, soils, utilities and topographic data. You can search for a specific address, street name, parcel number (PIN), or by the owner's name.

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