12 datasets found
  1. V

    City Council District Look Up

    • data.virginia.gov
    Updated Aug 21, 2024
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    Virginia Beach (2024). City Council District Look Up [Dataset]. https://data.virginia.gov/dataset/city-council-district-look-up
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    html, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Aug 21, 2024
    Dataset provided by
    City of Virginia Beach - Online Mapping
    Authors
    Virginia Beach
    Description

    GIS Web Map Application of the 10 City Council Voter Districts


    Search for an address to find out where it is located within one of the 10 City Council Voter Districts. These are the voter districts imposed by the U.S. District Court 2022.
    * Please note that the City of Virginia Beach is complying with the District Court’s ruling while simultaneously appealing the ruling to the U.S. Court of Appeals for the Fourth Circuit. These voter districts are also subject to pre-clearance approval by the Virginia Attorney General.

    If you don't know the voter district an address falls within, use one of these search methods:

    Click the search box and type in an address or choose Use current location
    Click within the map

    Results include Demographics for each voter district sourced from the US Census 2020 Public Law (P.L.) 94-171 Redistricting Files :
    Layer includes associated Demographics for each voter district sourced from the US Census 2020 Public Law (P.L.) 94-171 Redistricting Files:
    American Indian or Alaska Native: A person having origins in any of the original peoples of North and South America (including Central America), and who maintains tribal affiliation or community attachment.
    Asian: A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.
    Black or African American: A person having origins in any of the black racial groups of Africa.
    Hispanic or Latino: A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin, regardless of race.
    Native Hawaiian or Other Pacific Islander: A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.
    White: A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.
    The Diversity Index: Provided from Esri derived from 2020 US Census data that represents the likelihood that two persons, chosen
    at random from the same area, belong to different race or ethnic groups. Ethnic
    diversity, as well as racial diversity, is included in their definition of the Diversity
    Index. Esri's diversity calculations accommodate up to seven race groups: six
    single-race groups (White, Black, American Indian, Asian, Pacific Islander, Some
    Other Race) and one multiple-race group (two or more races). Each race group
    is divided into two ethnic origins, Hispanic and non-Hispanic. If an area is
    ethnically diverse, then diversity is compounded.


  2. v

    Dam Break Inundation Zones

    • data.virginiabeach.gov
    • data.virginia.gov
    • +3more
    Updated Oct 5, 2022
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    City of Virginia Beach - Online Mapping (2022). Dam Break Inundation Zones [Dataset]. https://data.virginiabeach.gov/datasets/f667a14ff5d94aba9b0ef1aec42f9d21
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    Dataset updated
    Oct 5, 2022
    Dataset authored and provided by
    City of Virginia Beach - Online Mapping
    Area covered
    Description

    Areas represent dam break inundation zones based on individual dam/spillway designs. Development within this boundary shall be studied to determine if or how the dam’s hazard rating is effected, and the results shall be reviewed and approved by the Virginia Department of Conservation and Recreation. Developing within this boundary may raise the hazard classification of the dam and require improvements at the expense of the developer and the dam owner. The PMF ( Probable Maximum Flood) is caused by the PMP (Probable Maximum Precipitation) of 38” in 24 hours. The average precipitation for Virginia Beach is 48” per year.

  3. v

    Short Term Rental Districts

    • data.virginiabeach.gov
    • data.virginia.gov
    • +1more
    Updated Oct 5, 2022
    + more versions
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    City of Virginia Beach - Online Mapping (2022). Short Term Rental Districts [Dataset]. https://data.virginiabeach.gov/datasets/VBgov::short-term-rental-districts
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    Dataset updated
    Oct 5, 2022
    Dataset authored and provided by
    City of Virginia Beach - Online Mapping
    Area covered
    Description

    Special Service Districts are created to provide financing for city services specific to a particular geographic area. The geographic areas and purpose are determined and identified in the Virginia Beach Code or Ordinances. They are associated with the levy of additional taxes. The data is maintained in the Cadastral system and published to the publication database weekly on Saturday.

  4. a

    VirginiaBeach Flood sgrube

    • hub.arcgis.com
    Updated Jun 4, 2017
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    sgrube1_GISandData (2017). VirginiaBeach Flood sgrube [Dataset]. https://hub.arcgis.com/maps/ab167784c57645968316e8bd41115ab8
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    Dataset updated
    Jun 4, 2017
    Dataset authored and provided by
    sgrube1_GISandData
    Area covered
    Description

    Federal Emergency Management Agency (FEMA) designated flood areas including depth charts and zones in the city of Virginia Beach, Virginia. This web map will help land use developers plot their proposed construction and rezoning areas and identify threats to those projects.

  5. A

    NOAA Office for Coastal Management Coastal Inundation Digital Elevation...

    • data.amerigeoss.org
    html
    Updated Aug 28, 2022
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    United States (2022). NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Virginia (mainland) and District of Columbia [Dataset]. https://data.amerigeoss.org/dataset/noaa-office-for-coastal-management-coastal-inundation-digital-elevation-model-virginia-mai-f22a
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    htmlAvailable download formats
    Dataset updated
    Aug 28, 2022
    Dataset provided by
    United States
    Area covered
    Washington, Virginia
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr This metadata record describes the digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available data known to exist at the time of DEM creation that met project specifications, for mainland Virginia, this includes portions of the following counties: Alexandria, Arlington, Charles City, Chesapeake, Essex, Fairfax, Falls Church, Franklin City, Fredericksburg City, Gloucester, Hampton, Isle of Wight, James City, King and Queen, King George, King William, Lancaster, Mathews, Middlesex, New Kent, Newport News, Norfolk, Northumberland, Poquoson City, Portsmouth, Prince George, Prince William, Richmond, Southampton, Stafford, Suffolk, Surry, Sussex, Virginia Beach, Westmoreland, Williamsburg, and York. This DEM also includes the District of Columbia. The DEM is derived from the following lidar: 1. New Kent, Charles City, Prince George Counties 2012 FEMA Middle Counties VA Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/Middle_Counties/Metadata/Project_Report/Dewberry_ProjectReport_MiddleCounties.pdf Additional coverage provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 2. King William County 2011 FEMA King William County VA Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/KingWilliamCo/KingWilliam_Metadata/Dewberry_ProjectReport_KingWilliam.pdf Additional coverage provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 3. Hampton and Portsmouth Cities 2011 FEMA Virginia Southern Cities Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/SouthernCities/SouthernCities_Metadata/Dewberry_ProjectReport_SouthernCities.pdf 4. Franklin City and Southampton County 2011 FEMA Virginia Counties South Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/VA_Counties_South/SouthernCo_Metadata/Dewberry_ProjectReport_Southampton.pdf 5. Fredericksburg City and Essex, King George, Prince William, Richmond, Stafford, Westmoreland Counties 2011 FEMA Virginia Counties North Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/VA_Counties_North/NorthernCo_Metadata/Dewberry_ProjectReport_NorthernCounties.pdf 6. Northumberland, Middlesex, Lancaster, King and Queen, Gloucester, Mathews, James City, Williamsburg, Surry, Isle of Wight, Suffolk Counties 2010/2011 USGS Eleven County Coastal VA Lidar This data may be downloaded from the William and Mary Center for Geospatial Analysis: http://www.wm.edu/as/cga/VALIDAR/ The project report for this data may be accessed at: http://gisfiles.wm.edu/files/lidar/a11county/Metadata/PROJECT_REPORT/Final%20Project%20Report%20for%20USGS%20Virginia%20LiDAR_01312011.pdf Additional coverage for Surry and King and Queen counties provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 7. Alexandria, Arlington, and Falls Church Counties 2008 NGA Capital Region Lidar The lidar data is not publicly available, the data was provided by the State of Virginia as bare earth DEMs. 8. Fairfax County 2008 NGA Capital Region Lidar The lidar data is not publicly available, the data was provided by the State of Virginia as bare earth DEMs. 2012 FEMA Virginia Lidar This data may be downloaded from USGS EarthExplorer at: http://earthexplorer.usgs.gov/ 9. York, Poquoson City, Newport News, Norfolk, Chesapeake, Virginia Beach, and Sussex Counties Data provided by the Virginia Base Map Program (VBMP). This data is a digital terrain model initially generated by the Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from 2002 VBMP aerial photography. 2010 US Army Corps of Engineers (USACE) Lidar This data may be downloaded at: http://www.coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1132 The metadata for this data may be accessed at: http://coast.noaa.gov/dataviewer/webfiles/metadata/usace2010_va_template.html 10.District of Columbia Washington, DC and Environs, 2008, 1/9 Arc second National Elevation Dataset (NED) This data may be downloaded at: http://viewer.nationalmap.gov/viewer/ Hydrographic breaklines were delineated from LiDAR intensity imagery generated from the LiDAR datasets. The DEM is hydro flattened such that water elevations are less than or equal to 0 meters. The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 10 meters.

  6. v

    Fire Department Administrative Boundaries

    • gis.data.vbgov.com
    Updated Apr 1, 2024
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    City of Virginia Beach - Online Mapping (2024). Fire Department Administrative Boundaries [Dataset]. https://gis.data.vbgov.com/maps/57fd5a21574e4f78b68fe7f86f6cfc18
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    Dataset updated
    Apr 1, 2024
    Dataset authored and provided by
    City of Virginia Beach - Online Mapping
    Area covered
    Description

    This service provides VBFD Administrative Boundaries including Fire Stations, Battalion Response Areas, and First Dues.

  7. d

    Digital Geologic Map of the Colonial Beach South Quadrangle, Virginia and...

    • datadiscoverystudio.org
    • data.amerigeoss.org
    Updated May 19, 2018
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    (2018). Digital Geologic Map of the Colonial Beach South Quadrangle, Virginia and Maryland (NPS, GRD, GRE, GEWA). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/88bad4e5b1e942a78b556536e07a4c10/html
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    Dataset updated
    May 19, 2018
    Description

    description: The Digital Geologic Map of the Colonial Beach South Quadrangle, Virginia and Maryland is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.htm). The GIS data is available as a 9.1 personal geodatabase (coso_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 18N. That data is within the area of interest of George Washington Birthplace National Monument.; abstract: The Digital Geologic Map of the Colonial Beach South Quadrangle, Virginia and Maryland is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.3.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.htm). The GIS data is available as a 9.1 personal geodatabase (coso_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 18N. That data is within the area of interest of George Washington Birthplace National Monument.

  8. EnviroAtlas - Virginia Beach/Williamsburg, VA - Proximity to Parks

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact) (2025). EnviroAtlas - Virginia Beach/Williamsburg, VA - Proximity to Parks [Dataset]. https://catalog.data.gov/dataset/enviroatlas-virginia-beach-williamsburg-va-proximity-to-parks6
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Williamsburg, Virginia Beach, Virginia
    Description

    This EnviroAtlas dataset shows the approximate walking distance from a park entrance at any given location within the EnviroAtlas community boundary. The zones are estimated in 1/4 km intervals up to 1km then in 1km intervals up to 5km. Park entrances were included in this analysis if they were within 5km of the community boundary. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  9. g

    EnviroAtlas -- Virginia Beach/Williamsburg, VA -- Meter-Scale Urban Land...

    • gimi9.com
    • s.cnmilf.com
    • +1more
    Updated Oct 16, 2017
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    (2017). EnviroAtlas -- Virginia Beach/Williamsburg, VA -- Meter-Scale Urban Land Cover (MULC) [Dataset]. https://gimi9.com/dataset/data-gov_enviroatlas-virginia-beach-williamsburg-va-meter-scale-urban-land-cover-mulc5
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    Dataset updated
    Oct 16, 2017
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Williamsburg, Virginia Beach, Virginia
    Description

    The Virginia Beach, VA EnviroAtlas Meter-scale Urban Land Cover (MULC) dataset comprises 3,724 km2 of southeast Virginia and includes Hampton, Newport News, Suffolk, Virginia Beach and Williamsburg. The area was selected based on the US Census Bureau's 2010 Urban Area for Virginia Beach, VA with a 1 km buffer added. These MULC data and maps are an adaptation of data developed in succession by three organizations. First, WorldView Solutions Inc., a contractor of the Virginia Geographic Information Network (VGIN), created an original dataset for the state of Virginia that used 6 inch to 1 foot-resolution, four-band (red, green, blue, and near-infrared), leaf-off imagery collected in 2013 for the Virginia Base Mapping Program, as well as 2015 VGIN LiDAR, and ancillary data inputs. These data did not fully capture tree canopy. Second, the Chesapeake Conservancy amended the original dataset using 2014, leaf-on United States Department of Agriculture (USDA) National Agriculture Imagery Program (NAIP) and 2010 and 2013 LiDAR data. The amendments added some of the tree canopy missing from the original data. Third, EPA amended the data further by collapsing multiple land cover classes into the seven EnviroAtlas Meter-scale Urban Land Cover (MULC) classes, and making corrections to the Wetlands classes, also using 2010 and 2013 LiDAR. Seven land cover classes were mapped: Water, Impervious Surfaces, Soil/Barren, Tree/Forest, Grass/Herbaceous Non-Woody Vegetation, Agriculture (Cultivated Crops) and Wetlands (Woody and Emergent). An analysis of 712 photo-interpreted land cover reference points yielded an overall user's accuracy of 83.5% (MAX) and an overall fuzzy user's accuracy of 84.1% (RIGHT) (see confusion matrices below). This dataset was produced by Virginia Geographic Information Network and their contractor WorldView Solutions Inc. (WSI), in collaboration with the Chesapeake Bay High-Resolution Land Cover Project - a cooperative agreement between the Chesapeake Conservancy and the National Park Service. It was adapted by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://enviroatlas.epa.gov/EnviroAtlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://enviroatlas.epa.gov/EnviroAtlas/DataFactSheets).

  10. EnviroAtlas - Virginia Beach/Williamsburg, VA - Greenspace Around Schools by...

    • s.cnmilf.com
    • datasets.ai
    • +1more
    Updated Oct 14, 2024
    + more versions
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    U.S. Environmental Protection Agency, Office of Research and Development-Sustainable and Healthy Communities Research Program, EnviroAtlas (Point of Contact) (2024). EnviroAtlas - Virginia Beach/Williamsburg, VA - Greenspace Around Schools by Block Group [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/enviroatlas-virginia-beach-williamsburg-va-greenspace-around-schools-by-block-group5
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    Dataset updated
    Oct 14, 2024
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    Williamsburg, Virginia Beach, Virginia
    Description

    This EnviroAtlas data set shows the number of schools in each block group in the EnviroAtlas community boundary as well as the number of schools where less than 25% of the area within 100 meters of the school is classified as greenspace. In this community, green space is defined as Trees & Forest, Grass & Herbaceous, Agriculture, Woody Wetlands, and Emergent Wetlands. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

  11. Virginia Official State Transportation Map

    • hub.arcgis.com
    Updated Feb 3, 2017
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    Virginia Department of Transportation (2017). Virginia Official State Transportation Map [Dataset]. https://hub.arcgis.com/documents/bcab2a940b98420f889369ff6d4a05b3
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    Dataset updated
    Feb 3, 2017
    Dataset provided by
    Virginia Department Of Transportation
    Authors
    Virginia Department of Transportation
    Area covered
    Virginia
    Description

    VDOT collaborated with the Virginia Tourism Corporation to develop the state map, which features Virginia's beaches and encourages travelers to head to the coast and visit the many attractions across the Commonwealth.The map places a focal point on the Chesapeake Bay region of Virginia, paying particular attention to the area’s historical background, recreation opportunities and economy. It also highlights tourism attractions, wine and craft beer, and oysters, which the region is widely known for. Dating back to the 1600’s, the Bay area was populated with thriving Native American communities. It was home to diverse wildlife and fertile soil, and was the location for the second permanent English settlement in the Americas. With the passage of time, port towns were established along the coast and the Bay’s rich bounty of oysters and blue crab led to a thriving fishing industry. Today, that region continues to be the heart of Virginia’s coast.Order the official map online, pick one up at Virginia’s staffed welcome centers and safety rest areas, or request one from the Virginia Tourism Corporation.

  12. v

    Police Offense Reports

    • gis.data.vbgov.com
    • data.virginia.gov
    • +2more
    Updated Feb 24, 2023
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    City of Virginia Beach - Online Mapping (2023). Police Offense Reports [Dataset]. https://gis.data.vbgov.com/datasets/67bc708103e746f18e216c32ba39febe
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    Dataset updated
    Feb 24, 2023
    Dataset authored and provided by
    City of Virginia Beach - Online Mapping
    Description

    This dataset has been published by the Virginia Beach Police Department and data.virginiabeach.gov. The mission of data.virginiabeach.gov is to provide timely and accurate City information to increase government transparency and access to useful and well organized data by the general public, non-governmental organizations, and City of Virginia Beach employees.This dataset excludes incidents assigned to 14 of the 152 Incident Based Reporting Codes. The specific IBR codes excluded are outlined below: 1. Runaway2. Death Investigation3. Death, Accidental4. Death, Drowning5. Death, Suicide6. Death, Auto Fatality7. Attempted Suicide8. Officer Involved Shooting, Death9. Officer Involved Shooting, No Death10. Missing Person11. Lost Property12. Habitual Offender13. Other Non-Reportable Offenses14. SVU Information Only

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Virginia Beach (2024). City Council District Look Up [Dataset]. https://data.virginia.gov/dataset/city-council-district-look-up

City Council District Look Up

Explore at:
html, arcgis geoservices rest apiAvailable download formats
Dataset updated
Aug 21, 2024
Dataset provided by
City of Virginia Beach - Online Mapping
Authors
Virginia Beach
Description

GIS Web Map Application of the 10 City Council Voter Districts


Search for an address to find out where it is located within one of the 10 City Council Voter Districts. These are the voter districts imposed by the U.S. District Court 2022.
* Please note that the City of Virginia Beach is complying with the District Court’s ruling while simultaneously appealing the ruling to the U.S. Court of Appeals for the Fourth Circuit. These voter districts are also subject to pre-clearance approval by the Virginia Attorney General.

If you don't know the voter district an address falls within, use one of these search methods:

Click the search box and type in an address or choose Use current location
Click within the map

Results include Demographics for each voter district sourced from the US Census 2020 Public Law (P.L.) 94-171 Redistricting Files :
Layer includes associated Demographics for each voter district sourced from the US Census 2020 Public Law (P.L.) 94-171 Redistricting Files:
American Indian or Alaska Native: A person having origins in any of the original peoples of North and South America (including Central America), and who maintains tribal affiliation or community attachment.
Asian: A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian subcontinent including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam.
Black or African American: A person having origins in any of the black racial groups of Africa.
Hispanic or Latino: A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin, regardless of race.
Native Hawaiian or Other Pacific Islander: A person having origins in any of the original peoples of Hawaii, Guam, Samoa, or other Pacific Islands.
White: A person having origins in any of the original peoples of Europe, the Middle East, or North Africa.
The Diversity Index: Provided from Esri derived from 2020 US Census data that represents the likelihood that two persons, chosen
at random from the same area, belong to different race or ethnic groups. Ethnic
diversity, as well as racial diversity, is included in their definition of the Diversity
Index. Esri's diversity calculations accommodate up to seven race groups: six
single-race groups (White, Black, American Indian, Asian, Pacific Islander, Some
Other Race) and one multiple-race group (two or more races). Each race group
is divided into two ethnic origins, Hispanic and non-Hispanic. If an area is
ethnically diverse, then diversity is compounded.


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