The VA_TOWN dataset is a feature class component of the Virginia Administrative Boundaries dataset from the Virginia Geographic Information Network (VGIN). VA_COUNTY represents the best available city and county boundary information to VGIN.VGIN initially sought to develop an improved locality and town boundary dataset in late 2013, spurred by response of the Virginia Administrative Boundaries Workgroup community. The feature class initially started from the locality boundaries from the Census TIGER dataset for Virginia. VGIN solicited input from localities in Virginia through the Road Centerlines data submission process as well as through public forums such as the Virginia Administrative Boundaries Workgroup and VGIN listservs. Data received were analyzed and incorporated into the VA_COUNTY feature class where locality data were a superior representation of the city or county boundary.

© Virginia Geographic Information Network (VGIN), and the Census and Localities and Towns submitting data to the project

This layer is a component of Feature classes representing locality (county, city, and town) boundaries in the Commonwealth of Virginia..

1. US Census Bureau Cartographic Boundary File of county boundaries for the Commonwealth of Virginia.

From the US Census Bureau: "The cartographic boundary files are simplified representations of selected geographic areas from the Census Bureau’s MAF/TIGER geographic database. These boundary files are specifically designed for small scale thematic mapping."

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. County subdivisions are the primary divisions of counties and their equivalent entities for the reporting of Census Bureau data. They include legally-recognized minor civil divisions (MCDs) and statistical census county divisions (CCDs), and unorganized territories. For the 2010 Census, the MCDs are the primary governmental and/or administrative divisions of counties in 29 States and Puerto Rico; Tennessee changed from having CCDs for Census 2000 to having MCDs for the 2010 Census. In MCD States where no MCD exists or is not defined, the Census Bureau creates statistical unorganized territories to complete coverage. The entire area of the United States, Puerto Rico, and the Island Areas are covered by county subdivisions. The boundaries of most legal MCDs are as of January 1, 2021, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CCDs, delineated in 21 states, are those as reported as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

This layer presents the counties of the state of Virginia. It provides detailed boundaries that are consistent with the tract, block group, and state data sets and are effective at regional and state levels.

This dataset shows the counties that overlap the South Fork Shenandoah watershed to provide context for the locations of DuPont Natural Resource Damage Assessment and Restoration (NRDAR) restoration projects. The dataset was created as a geographic representation and should not be used for legal purposes or to show precise locations. It was created from U.S. Census data (tlgdb_2018_a_51_va.gdb).

Tax map polygons for Fairfax County, Virginia, USA as retrieved from the Fairfax County GIS website on 15 March 2011. Per communication with office staff, data on that page is in the public domain.

Zoning Overlay Map (includes Highway Corridor, Technology, Domestic Fowl, Airport Safety, Historic, Redevelopment Areas). Recommended print size: 24" X 36".

Geospatial data about Highland County, Virginia Tax Map Index. Export to CAD, GIS, PDF, CSV and access via API.

This interactive map includes build telecommunication facilities, dark fiber (both future and in progress), and other telecommunication-related data. In September 2020, the Loudoun County Board of Supervisors directed staff to document telecommunication projects completed, in-progress, and future projects, using the 2014 Wireless GAP Analysis and the Segra Dark Fiber Area Network. Staff mapped the data identified by the Board, as well as other information related to telecommunication projects. This information was then used to identify select unserved or underserved geographic areas of the county.The companion Story Map steps through each dataset used in the project.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

Military Map of Northern Virgnia 1865

​1" = 5280' map shows the County 5K and 10K grid overlay. Recommended print size: 31" X 37".

Zoning Overlays for Bedford County, VA.

Vector polygon map data of property parcels from Prince William County, Virginia containing 152,739 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

This layer represents the County's Steep Slope Overlay District. Slopes within this district are classified as either Preserved or Managed. The ordinance provisions that created this overlay district shall be effective on and after March 5, 2014. For a full description of this district, please consult the Zoning Ordinance. Definitions:Slopes, critical: Slopes, other than managed or preserved slopes, of twenty-five (25) percent or greater as determined by reference to either current topographic mapping available from the county or a more accurate field survey certified by a professional surveyor or engineer. Slopes of twenty-five (25) percent or greater which are lawfully created within a development that was approved by the county shall not be considered critical slopes.Slopes, managed: Slopes of twenty-five (25) percent or greater depicted as a managed slope on the map entitled "Steep Slopes Overlay District," adopted by the board of supervisors on March 5, 2014. Managed Slopes may be developed if Design Standards are adhered to. Slopes, preserved: Slopes of twenty-five (25) percent or greater depicted as a preserved slope on the map entitled "Steep Slopes Overlay District," adopted by the board of supervisors on March 5, 2014. Preserved Slopes allow minimal activities. Slopes, steep. Steep slopes are referred to as critical slopes on lands outside of the steep slopes overlay district and are referred to as either managed or preserved slopes within the steep slopes overlay district.

Geologic map of the Round Hill Quadrangle, Clarke and Loudoun Counties, Virginia, and Jefferson County, West Virginia. The base maps for this series were developed from U.S. Geological Survey topographic 7.5-minute quadrangle maps (1:24,000 scale). Contour interval is in feet. For more information on this resource or to download the map PDF, please see the links provided.

The mapped area boundary, flood inundation extents, and depth rasters were created to provide an estimated extent of flood inundation along the Elk River within communities in Kanawha and Clay Counties, West Virginia. These geospatial data include the following items: 1. elk_bnd; shapefile containing the polygon showing the mapped area boundary for the Elk River flood maps, 2. elk_hwm; shapefile containing high-water mark points, 3. polygon_elk_hwm; shapefile containing mapped extent of flood inundation, derived from the water-surface elevation surveyed at high-water marks, 4. depth_hwm; raster file for the flood depths derived from the water-surface elevation surveyed at high-water marks, 5. polygon_elk_dem; shapefile containing mapped extent of flood inundation, derived from the height above ground recorded at high-water marks and the digital elevation model (DEM) raster, 6. depth_dem; raster file for the flood depths derived from the height above ground recorded at high-water marks and the digital elevation model raster. The upstream and downstream mapped area extent is limited to the upstream-most and downstream-most high-water mark locations. In areas of uncertainty of flood extent, the mapped area boundary is lined up with the flood inundation polygon extent. The mapped area boundary polygon was used to extract the final flood inundation polygon and depth raster from the water-surface elevation raster file. Depth raster files were created using the "Topo to Raster" tool in ArcMap (ESRI, 2012). For this study two sets of inundation layers were generated for each reach. One raster file showing flood depths, "depth_hwm", was created by using high-water mark water-surface elevation values on the land surface and a digital elevation model. However, differences in elevation between the surveyed water-surface elevation values at HWM’s and the land-surface elevation from the digital elevation model data provided uncertainty in the inundation extent of the generated layers. Often times elevation differences of +/- 20 feet were noticed between the surveyed elevation from a HWM on the land surface and the digital elevation model land-surface elevation. Due to these elevation differences, we incorporated a second method of interpolating the water-surface layer. The recorded height above ground value from the surveyed HWM was added to the digital elevation model land-surface elevation at that point. This created a new water-surface elevation value to be used with the “Topo to Raster” interpolation method to create a second depth raster, "depth_dem". Both sets of inundation layers are provided.