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.

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.

GDB Version: ArcGIS Pro 3.3Additional Resources:Shapefile DownloadREST EndpointVirginia Parcels: Local Schema TablesThese parcel boundaries represent legal descriptions of property ownership, as recorded in various public documents in the local jurisdiction. Attribution is limited to locality identification and parcel id. Tax parcel boundaries have not been edge-matched across municipal boundaries. The parcel geography and attributes are intended for cartographic use and spatial analysis only, and not for use as legal descriptions or property surveys.

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.

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.

******Disclaimer: This data should not be relied upon for title examination or real estate closing requirements as deferral and tax relief programs may impact the amount due. This data does not include nuisance abatement liens.

This dataset includes data on all real estate parcels in the city of Norfolk that are at least one quarter behind on taxes. Payments are processed as received requiring frequent updates to the data for accuracy. City deferral and senior tax relief programs may impact r-portable data. The tax rate, penalty rate and interest rate are prescribed by city ordinance.

Map image service showing current parcel property information for Montgomery County VA. Layers included are:Address Points (displayed as house number labels)ParcelsBuilding FootprintsSubdivision parcelsPlease note that the authority of parcel and tax information is the Commissioner of the Revenue. Planning & GIS Services shares this information as a courtesy and on behalf of the Commissioner of the Revenue office. Direct all property boundary, tax, or plat/survey inquiries to the Commissioner of the Revenue.

This dataset provides information about the number of properties, residents, and average property values for Virginia Beach Boulevard cross streets in Virginia Beach, VA.

This dataset provides information about the number of properties, residents, and average property values for Upper Hastings Way cross streets in Virginia Beach, VA.

This feature class consists of approximately 195,000 features representing over 70,000 miles of Interstate, Primary, Secondary and Urban roads throughout the State of Virginia. The Linear Referencing System is based on the Virginia Department of Transportation's Source System of Record for road inventory, Roadway Inventory Management System (RIMS). Geometry and Attribution: The Linear Referencing System (LRS) data contained within this feature class provides dissolved route segmentation (i.e. routes are not segmented when they intersect other routes), thus rendering one table record per route. Multi-part geometry is created where routes are noncontiguous (e.g. a valid physical gap exists because another route is the master). The feature class only depicts master routes, those are routes built in the prime direction and on divided roadways where the non-prime direction is the master. Each road centerline record has a master route record assigned. Measures: The linear reference is based on Official State Mileage (OSM) as derived from reference points at Roadway Inventory Management System (RIMS) roadway intersections (i.e. nodes/junctions). Purpose: This linear referenced data layer represents roadways that are maintained by the Virginia Department of Transportation and provides the underlying spatially enabled geometric network to which all "events" (e.g. potholes, pavement type, vehicle accidents, traffic counts, culverts, etc...) can be located. Note: The overlap and non-prime measures are for reference only and have not been fully validated for accuracy or completeness.

For every real estate property in Arlington which has been sold, this dataset includes property sales information and can be associated with other Real Estate datasets by the RPC (RealEstatePropertyCode).

This dataset provides information about the number of properties, residents, and average property values for River Town Road cross streets in Yale, VA.

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 dataset provides information about the number of properties, residents, and average property values for Maple Drive cross streets in Danville, VA.

This dataset provides information about the number of properties, residents, and average property values for Chase Court cross streets in Newport News, VA.

This dataset provides information about the number of properties, residents, and average property values for Colemans Mill Road cross streets in Gladstone, VA.

1992 National Land Cover Dataset (NLCD) for the Baltimore MSA. The National Land Cover Dataset was compiled from Landsat satellite TM imagery (circa 1992) with a spatial resolution of 30 meters and supplemented by various ancillary data (where available). The analysis and interpretation of the satellite imagery was conducted using very large, sometimes multi-State image mosaics (i.e. up to 18 Landsat scenes). Using a relatively small number of aerial photographs for 'ground truth', the thematic interpretations were necessarily conducted from a spatially-broad perspective. Furthermore, the accuracy assessments (see below) correspond to 'federal regions' which are groupings of contiguous States. Thus, the reliability of the data is greatest at the State or multi-State level. The statistical accuracy of the data is known only for the region. Important Caution Advisory With this in mind, users are cautioned to carefully scrutinize the data to see if they are of sufficient reliability before attempting to use the dataset for larger-scale or local analyses. This evaluation must be made that the NLCD represents conditions in the early 1990s. The Maryland portion of the NLCD was created as part of land cover mapping activities for Federal Region III that includes the States of, Delaware, Pennsylvania, Virginia, West Virginia, and the District of Columbia. The NLCD classification contains 21 different land cover categories with a spatial resolution of 30 meters. The NLCD was produced as a cooperative effort between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (US EPA) to produce a, land cover data layer for the conterminous U.S. using early 1990s Landsat thematic mapper (TM) data purchased by the Multi-resolution Characterization (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS (National Mapping, Biological Resources, and Divisions), US EPA, the U.S. Forest Service, and the National Oceanic and Atmospheric Administration. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful. This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

This dataset provides information about the number of properties, residents, and average property values for Hundley Branch Road cross streets in Scottsville, VA.

*This dataset is updated nightly. Crime data represents the initial information that is provided by individuals calling for police assistance. Please note that the dataset only contains the last 5 years. Remaining information is often amended for accuracy after an Officer arrives and investigates the reported incident. Most often, the changes are made to more accurately reflect the official legal definition of the crimes reported. An example of this is for someone to report that they have been "robbed," when their home was broken into while they were away. The official definition of "robbery" is to take something by force. An unoccupied home being broken into, is actually defined as a "burglary," or a "breaking and entering." While there are mechanisms in place to make each initial call as accurate as possible, some events require evaluation upon arrival. Caution should be used when making assumptions based solely on the data provided, as they may not represent the official crime reports.