The land area of Virginia Beach city, VA was 249 in 2018.

Land Area

Water Area

Land area is a measurement providing the size, in square miles, of the land portions of geographic entities for which the Census Bureau tabulates and disseminates data. Area is calculated from the specific boundary recorded for each entity in the Census Bureau's geographic database. Land area is based on current information in the TIGER® data base, calculated for use with Census 2010.

Water Area figures include inland, coastal, Great Lakes, and territorial sea water. Inland water consists of any lake, reservoir, pond, or similar body of water that is recorded in the Census Bureau's geographic database. It also includes any river, creek, canal, stream, or similar feature that is recorded in that database as a two- dimensional feature (rather than as a single line). The portions of the oceans and related large embayments (such as Chesapeake Bay and Puget Sound), the Gulf of Mexico, and the Caribbean Sea that belong to the United States and its territories are classified as coastal and territorial waters; the Great Lakes are treated as a separate water entity. Rivers and bays that empty into these bodies of water are treated as inland water from the point beyond which they are narrower than 1 nautical mile across. Identification of land and inland, coastal, territorial, and Great Lakes waters is for data presentation purposes only and does not necessarily reflect their legal definitions.

Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Geographic and Area Datasets Involving Virginia Beach city, VA

  • API

    Monthly TEU Data

    data.bts.gov | Last Updated 2022-12-06T20:10:36.000Z

  • API

    Library Active Users Statistics

    data.norfolk.gov | Last Updated 2023-12-18T19:43:25.000Z

    This dataset contains information about Norfolk Public Library active users by month starting in July 2016. This information will be updated annually. Active users include users whose accounts have had any activity during the previous three years including card renewal, fines added, payments made, or computer usage. This dataset is updated monthly.

  • API

    Address Information

    data.norfolk.gov | Last Updated 2024-05-14T10:48:14.000Z

    The Address Information Resource is a compilation of information related to active and pending addresses in the City of Norfolk. It provides a consolidated source to allow for quick and easy access to information about an address including details related to school districts, municipal services, planning, public safety, and civic leadership. It is one of the main data resources that provides content for the Norfolk AIR website (https://air.norfolk.gov/#/).

  • API

    LEHD LODES 7 Origin-Destination Matrix VA 2013 (MAIN)

    celebratingcities.data.socrata.com | Last Updated 2016-02-27T14:34:26.000Z

    LEHD Origin-Destination Employment Statistics (LODES) used by OnTheMap are available for download below. Version 7 of LODES was enumerated by 2010 census blocks. Previous versions of LODES were enumerated with 2000 census blocks. Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2013. To browse the LODES data files in their directory structure or to access them with a FTP program (must be able to access HTTP), go to http://lehd.ces.census.gov/data/lodes/. Check out the data dictionary at http://celebratingcities.github.io/docs.html

  • API

    FY 2021_NCVAS Facilities Data For State Including PR

    www.datahub.va.gov | Last Updated 2023-08-25T19:44:55.000Z

    FY2021 VA facilities data provided by the National Center for Veterans Statistics and Analysis, published in 2023 includes PR

  • API

    Beach E. coli Predictions

    data.cityofchicago.org | Last Updated 2023-09-05T04:55:04.000Z

    The Chicago Park District issues swim advisories at beaches along Chicago's Lake Michigan lakefront based on E. coli levels. This dataset shows predicted E. coli levels based on an experimental analytical modeling approach.

  • API

    LEHD LODES 7 Origin-Destination Matrix VA 2013 (AUX)

    celebratingcities.data.socrata.com | Last Updated 2016-02-27T14:32:59.000Z

    LEHD Origin-Destination Employment Statistics (LODES) used by OnTheMap are available for download below. Version 7 of LODES was enumerated by 2010 census blocks. Previous versions of LODES were enumerated with 2000 census blocks. Data files are state-based and organized into three types: Origin-Destination (OD), Residence Area Characteristics (RAC), and Workplace Area Characteristics (WAC), all at census block geographic detail. Data is available for most states for the years 2002–2013. To browse the LODES data files in their directory structure or to access them with a FTP program (must be able to access HTTP), go to http://lehd.ces.census.gov/data/lodes/. Check out the data dictionary at http://celebratingcities.github.io/docs.html

  • API

    FY 2021_NCVAS Facilities Data For State Summaries

    www.datahub.va.gov | Last Updated 2023-08-25T19:48:40.000Z

    FY2021 VA facilities data provided by the National Center for Veterans Statistics and Analysis, published in 2023.

  • API

    Beach Lab Data

    data.cityofchicago.org | Last Updated 2024-03-06T20:00:21.000Z

    The Chicago Park District collects and analyzes water samples from beaches along Chicago’s Lake Michigan lakefront. The Chicago Park District partners with the University of Illinois at Chicago Department of Public Health Laboratory to analyze water samples using a new DNA testing method called Rapid Testing Method (qPCR analysis) which tests for Enterococci in order to monitor swimming safety. The rapid testing method (qPCR analysis) is a new method that measures levels of pathogenic DNA in beach water. Unlike the culture based test that requires up to 24 hours of processing, the new rapid testing method requires a 4-5 hours for results. The Chicago Park District can use results of the rapid test to notify the public when levels exceed UPEPA recommended levels, which is 1000* CCE. When DNA bacteria levels exceed 1000 CCE, a yellow swim advisory flag is implemented. For more information please refer to the USEPA Recreational Water Quality Criteria (http://water.epa.gov/scitech/swguidance/standards/criteria/health/recreation). Historically, the Chicago Park District used the culture based analysis method and statistical prediction models to monitor beach water quality. The culture based method tests for Escherichia coli (E. coli) bacteria which is an indicator species for the presence of disease-causing bacteria, viruses, and protozoans that may pose health risks to the public. This method requires 18-24 hours of processing to receive results. The Chicago Park District would use results of the culture based method to notify the public when levels exceed UPEPA recommended levels, which is 235* CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. This standard is still used at most beaches throughout the Great Lakes region. For more information please refer to the USEPA Recreational Water Quality Criteria. The statistical prediction model forecasted real-time Escherichia coli (E. coli) bacteria levels present in the water. The Chicago Park District (CPD) in partnership with the US Geological Survey, developed statistical prediction models by using weather data pulled from CPD buoys (https://data.cityofchicago.org/d/qmqz-2xku) and weather stations (https://data.cityofchicago.org/d/k7hf-8y75). The Chicago Park District would use results of the predictive model to notify the public when bacteria levels would exceed 235 CFU. When bacteria levels exceed 235 CFU, a yellow swim advisory flag was implemented. * The unit of measurement for Escherichia coli is Colony Forming Units (CFU) per 100 milliliters of water. (Culture Based Method / Statistical Prediction Model) *The unit of measuring DNA is Enterococci Calibrator Cell Equivalents (CCE) per 100 milliliters of water. (Rapid Testing Analysis)

  • API

    FY2021 NCVAS Facilities Data Summary Including Territories for 2023 State Summaries

    www.datahub.va.gov | Last Updated 2023-08-25T19:45:24.000Z

    FY 2021 VA facilities data used to populate the NCVAS State summaries created in FY2023.