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.

Below is a quick rundown of the tools available in the web map! The first new thing you may notice is the ability to search from in the splash window that appears. This hopefully reduces the number of clicks people will need to get to their information. There's the same search bar in the upper left once you click out of the splash screen. The Query tool has existed in this form on the sub-maps, but now it is here with all the layers. I want to highlight "Search by Legal Description" as a nifty way to find parcels associated with a specific subdivision. I also want to highlight the "find tax parcels/addresses within specified distance" queries. Those let you select every tax parcel or address within a feature you draw (a point, line, or polygon). This is good for finding what properties within a distance need to be notified of something. That can then be exported as an Excel table (csv). This can also help you identify whether something falls within certain setbacks. The Basemaps is the same as it was before. I haven't gotten the Virginia Geographic Information Network imagery from 2017 and 2021 to successfully appear here, but you can find that in the map layers at the bottom. We have a lot of data layers! I currently have the default as every group expanded out, so you can scroll and see all the layers, but you can go through and click to collapse any groups you don't want expanded. Okay, the select tool is super cool, and lets you really dive into some fun GIS attribute querying! As an example, you can select all the FEMA Flood Zones that are AO, then select all the tax parcels that are affected by (intersect) those AO zones! These results can also be exported into an Excel table. A great deal of GIS analysis is possible just using Select by Attributes and Select by Location, so this tool really ramps up the power of the web map so it can do some of what the desktop GIS software can do! Continuing our tour of the tools, we come to the coordinates tool. This one also existed already in the sub-maps, but is now with all the layers. Unfortunately, the tool is a little annoying, and won't retain my defaults. You have to click the little plus sign target thing, then you can click on the map to get the coordinates. The coordinate system defaults to WGS 1984 Web Mercator (the same thing Google Maps uses), but much of our data uses NAD 1983 State Plane Virginia South, so you can click the dropdown arrow to the right to select either one. Exciting news related to this: in 2026 they are releasing the new coordinate system on which they've been working! It should make the data in GIS more closely align with features in reality, but you will not need to change any of the ways you interact with the data. The next tool is the Elevation Profile tool. It's very nifty! You can draw a profile to see how the elevation changes, and as you move your cursor along the graph, it shows where along your transect you are! It helps explain some of the floodplain and sea level rise boundaries. You know the measure tool well, but this one retains the defaults in feet and acres, which is very exciting! No more having to change the units every time you want to measure (unless you want other than feet and acres). The draw tool is our penultimate stop on the tour! It is largely the same as what existed on the old public web map, so I shan't delve into it here. When you draw a feature now though, it appears in the layers tab (until you close the map), which can let you toggle the drawing on and off to work with what is beneath it. It can help as you plan in where you might want to put new constructions. The print tool is also largely the same, but I've been finding the tool in this new Experience Builder format is less buggy than the one in the retired Web App Builder that made the old Public Web Map.

The Virginia Geographic Information Network (VGIN) has coordinated the development and maintenance of a statewide Parcels data layer in conjunction with local governments across the Commonwealth. The Virginia Parcel dataset is aggregated as part of the VGIN Local Government Data Call update cycle. Localities are encouraged to submit data bi-annually and are included into the parcel dataset with their most recent geography.Attributes for these Virginia parcels are limited to locality identification and parcel id. Tax parcel boundaries have not been edge-matched across municipal boundaries but they are associated by local government FIPS and locality name.The boundaries are intended for cartographic use and spatial analysis only, and not for use as legal descriptions or property surveys. Not all localities within the Commonwealth of Virginia have confirmed a digital record for parcel geography or submit data with a bi-annual frequency.GDB Version: ArcGIS Pro 3.3Additional Resources:Shapefile DownloadREST EndpointVirginia Parcels: Local Schema Tables

This application shows general City information such as the locations of fire stations and government services, and also tax information for all the parcels located in the City of Winchester, Virginia.

This data archive is a collection of GIS files and FGDC metadata prepared in 1995 for the Northampton County Planning Office by the Virginia Coast Reserve LTER project at the University of Virginia with support from the Virginia Department of Environmental Quality (DEQ) and the National Science Foundation (NSF). Original data sources include: 1:100,000-scale USGS digital line graph (DLG) hydrography and transportation data; 1:6,000-scale boundary, road, and railroad data for the town of Cape Charles from VDOT; 1:190,000-scale county-wide general soil map data and 1:15,540-scale detailed soil data for the Cape Charles area digitized from printed USDA soil survey maps; a land use and vegetation cover dataset (30 m. resolution) created by the VCRLTER derived from a 1993 Landsat Thematic Mapper satellite image; 1:20,000-scale plant association maps for 10 seaside barrier and marsh islands between Hog and Smith Islands, inclusive, prepared by Cheryl McCaffrey for TNC in 1975 and published in the Virginia Journal of Science in 1990; and 1993 colonial bird nesting site data collected by The Center for Conservation Biology (with partners The Nature Conservancy, College of William and Mary, University of Virginia, USFWS, VA-DCR, and VA-DGIF). Contents: HYDROGRAPHY Based on USGS 1:100,000 Digital Line Graph (DLG) data. Files: h100k_arc_u84 (streams, shorelines, etc.) and h100k_poly_u84 (marshes, mudflats, etc.). Note that the hydrographic data has been superseded by the more recent and more detailed USGS National Hydrography Dataset, available for the entire state of Virginia at "ftp://nhdftp.usgs.gov/DataSets/Staged/States/FileGDB/HighResolution/NHDH_VA_931v210.zip" (see http://nhd.usgs.gov/data.html for more information). A static 2013 version of the NHD data that includes shapefiles extracted from the original ESRI geodatabase format data and covering just the watersheds of the Eastern Shore of VA can also be found in the VCRLTER Data Catalog (dataset VCR14223). TRANSPORTATION Based on USGS 1:100,000 Digital Line Graph (DLG) data for the full county, and 1:6,000 VDOT data for the Cape Charles township. Files: 1:100k Transportation (lines) from USGS DLG data: rtf100k_arc_u84 (roads), rrf100k_arc_u84 (railroads), and mtf100k_arc_u84 (airports and utility transmission lines). Files: 1:6000 street, boundary, and rail line data for the town of Cape Charles, 1984, prepared by Virginia Department of Highways and Transportation Information Services (Division 1221 East Broad Street, Richmond, Virginia 23219). Streets correct through December 31,1983. Georeferencing corrected in 2014 for shapefiles only, using same methodology described for VCR14218 dataset. File : town_u84_adj (town_arc_u84old is the older unadjusted data). Note that the transportation data has been superseded by more recent and more detailed data contained in dataset VCR14222 of the VCRLTER Data Catalog. The VCR14222 data contains 2013 U.S. Census Bureau TIGER/Line road and airfield data supplemented by railroad and transmission lines digitized from high resolution VGIN-VBMP 2013 aerial imagery and additionally has boat launch locations not available here. SOILS General soil map for Northampton county (1:190k), and detailed soil map for Cape Charles and Cheriton areas (1:15,540) from published the USDA Soil Conservation Service's 1989 "Soil Survey of Northampton County, Virginia" digitized at UVA by Ray Dukes Smith: soilorig_poly_u84 (uses original shorelines from source maps), soil_poly_u84 (substitutes shorelines from 1993 landcover classification data), and cc_soil_poly_u84 (Cape Charles & Cheriton detailed data, map sheets 13 and 14). Note that the soil data has been superseded by more recent and more detailed SSURGO soil data from the USDA's Natural Resources Conservation Service (NRCS), which has seamless soil data from the 1:15,540 map series in tabular and GIS formats for the full county, as well as for all counties in VA and other states. A static 2013 version of the SSURGO data that contains merged data for Accomack and Northampton Counties can be found in the VCRLTER Data Catalog (dataset VCR14220). LANDUSE/LANDCOVER VCR Landuse and Vegetation Cover, 1993, created by Guofan Shao (VCRLTER) based on 30m resolution Landsat Thematic Mapper (TM) satellite imagery taken on July 28, 1993. Cropped to include just Northampton County. Landcover is divided into 5 classifications: (1) Forest or shrub, (2) Bare Land or Sand, (3) Planted Cropland, Grassland, or Upland Marsh, (4) Open Water, and (5) Low Salt Marsh. File = nhtm93s3_poly_u84. No spatial adjustments necessary. An outline of the county showing the shorelines based on the above 1993 TM classification is included as the shapefile:outline_poly_u84; however, no spatial adjustment has been applied. Note that a similar landuse/landcover classification based on the same 1993 Landsat

Parcel boundary lines are shown from 9k and beyond to indicate the property lines and offer the GPIN and assoicated attributes.

More MetadataData 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

This layer began as part of the Virginia.gov data development project in 2008-2009. VGIN was tasked to generate cartography and data for a specific application for location of Virginia state agency locations in relation to the project. In 2010, The State Broadband Data Development Program (SBDD) Community Anchor Institutions (CAI) dataset leveraged much of that data and catalogued broadband service to a specific feature. The points have since been checked and updated annually as part of the Virginia Landmark dataset. The data is matched to the Virginia Address Point dataset. There are numerous data sources associated to the point. The general development methodology is as follows: The facility data was extracted and geocoded to the VGIN Geocoding service. If results were positioned on the Road Centerline by the RCL locator, those features were subsequently updated and moved to match the address point in the data layer. Unmatched results were added to the map. Non-spatial address location data is harvested into a spreadsheet by the source agency and checked against the GIS data annually. Fields for Landmark Name, Place Type, Source, and Source Type can be used to differentiate specific data as stored in the dataset.Full VA Landmark Database: https://vgin.vdem.virginia.gov/datasets/VGIN::virginia-landmarks/explore

Welcome to the Parcel Viewer, your source for anything property related within the City of Lynchburg. From the latest assessment data to recent sales history, Parcel Viewer has it covered. With an easy to use search feature and a powerful mapping options, the Parcel Viewer provides you with the basic information you need while also giving you the ability to take your property needs to the next level. If you are a realtor, developer, or searching for a new home, then Parcel Viewer is the right place for you.

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City Services provides data on nearby City amenities and services and the Open Data Portal allows you to download 100's of datasets, layers, and tables.

This datasets contain GIS shapefiles related to the transportation infrastructure of Accomack and Northampton Counties on the Eastern Shore of Virginia. Included here are roads and highways, railroads, airfields and airstrips, boat ramps, and electrical transmission lines. Data was compiled from multiple sources. The primary purpose of this dataset is to provide VCRLTER researchers and students with a convenient up-to-date set of GIS data layers in one location that can be used as base layers for various map products and for planning research activities. A secondary purpose of this dataset is to extend transportation data coverage in the VCRLTER data catalog to include Accomack County and to supersede older USGS DLG data contained in the Northampton County GIS data package (VCRLTER dataset VCR14219).

The purpose of this data set is to provide a geographic representation of the location of each state mile marker sign in the Commonwealth, and is to be used in a number of other products and projects. The locations of state mile marker signs on interstates and primary routes are important sources for various traffic studies as well as information for travelers. This GIS layer displays the locations and corresponding information of state mile marker signs. The signs may have been placed close but not exactly at the mile point due to geographic restrictions.Attribute NameContentsFIDInternal Feature NumberShapeFeature GeometryHTRISDEFHTRIS Definition in the Roadway InventoryROADSIDELocations of Mile Marker Posts (Right, Left, or Median)LATITUDEGPS latitude for each Mile Marker point in decimal degreesLONGITUDEGPS longitude for each Mile Marker point in decimal degreesSIGNSTYLE0: Small & Non-MUTCD Compliant, 1: MUTCD Standard (D10-1, D10-2 or D10-3), 2: MUTCD Enhanced (D10-4 or D10-5)SIGNVALUENumeric Value from the Sign Text except NULL, -1, and -2 valuesSIGNTEXTFull Sign TextM_JURISDICMaintenance Jurisdiction Code

Note: this layer's data is continuously updated via map service connections to our enterprise geodatabase. This item's "date updated" attribute does not reflect the data within.This data layer contains polygon features representing the approximate size and location of parcels 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. Users should be aware that this data does not represent legal property boundary descriptions, nor is it suitable for boundary determination of individual parcels. 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. The source of each parcel is described in the Source attribute field.Parcel ownership information included in this layer is provided by the Office of Real Estate Assessments from their Real Estate Assessments database. This includes all real properties except public service properties (public roads, operating railroads, interstate pipelines, and public utilities), is assessed annually by the Real Estate Assessments Office, This information is provided nightly and joined to the GIS parcel boundaries by the GPIN.

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/ .

This application shows comprehensive data for properties in the City of Winchester, Virginia. This data includes school district information, fire and rescue first due area, voting information, refuse and recycling and zoning information. It also shows the tax card information for each property queried.

Vegetation map of Cedar Island, Virginia photointerpreted from aeriel photographs (June 1974) and a field check (1975). This map was digitized and georeferenced by Virginia Tech University Library. Additional information can be found at the following url(s); https://virginiatech.on.worldcat.org/search?sortKey=LIBRARY&databaseList=&queryString=Cedar+Island%2C+Virginia+Vegetation+Map+&changedFacet=format&scope=&format=Map&database=all&author=all&year=all&yearFrom=&yearTo=&language=all&topic=all#/oclc/769060298, http://www.vacadsci.org/vjsArchives/V41/41-4A/TitlePage.html, http://www.vacadsci.org/vjsArchives/V41/41-4A/p282.pdf, http://vanhde.org/content/map, https://www.arcgis.com/home/item.html?id=f2add68fee9a416786306c8d881f4ebc. GeoTIFF can be downloaded as a ZIP package at the following location; https://secure-archive.gis.vt.edu/gisdata/public/DigitizedMapCollections/VirginiaTechUniversityLibraries/VTU_DMC_000005.zip. The associated ZIP package contains an original scanned image and an image georeferenced using ArcGIS Pro.

A GIS database of geologic units and structural features in West Virginia, with lithology, age, data structure, and format written and arranged just like the other states.

This map provides the location and condition of all bridges and large culverts in the Commonwealth. The solid icons on the map represent culverts while the open icons represent bridges. Zoom in on the map to display bridges on primary and secondary routes. Click on any icon for additional information about the bridge or culvert. Due to data collection efforts some bridges may show multiple icons – we are working to correct this issue. Bridge condition is not a measure of safety. All bridges are inspected regularly and any bridge determined to be unsafe is immediately closed until repairs can be made.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.