- What is the Water Area?
- What is the Population Count?
- What is the Population Density?
- What is the Percent who did not finish the 9th grade?
- What is the Student Teacher Ratio?
- What is the Median Earnings?
- What is the Mean Job Proximity Index?
- What is the Number of Employees?
- What is the Percent Without Health Insurance?
- What is the Mean Environmental Health Hazard Index?
The land area of Virginia Beach city, VA was 249 in 2018.
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.
Geographic and Area Datasets Involving Virginia Beach city, VA
- API data.norfolk.gov | Last Updated 2021-01-27T14:11:21.000Z
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 (http://norfolkair.norfolk.gov/norfolkair).
- API data.norfolk.gov | Last Updated 2020-11-17T23:54:42.000Z
This dataset contains information about all of the registered borrowers from Fiscal year 2016 though 2018 for Norfolk Public Library. This includes all active accounts that have been verified and approved by library staff annually. Please Note: InterLibrary Loan (ILL) - was previously housed at Kirn/Slover and each borrowing library was issued a unique account. They now use a special ILL application that doesn't require those accounts.
- API data.cityofchicago.org | Last Updated 2020-07-08T04:55:04.000Z
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 data.cityofchicago.org | Last Updated 2021-01-28T01:00:26.000Z
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 data.virginia.gov | Last Updated 2020-10-01T12:03:43.000Z
This dataset is an export from Opportunity Insights Economic Tracker ( https://www.tracktherecovery.org/) The data in this dataset was last updated September 17, 2020. More current data is available at the project's GitHub repository: https://github.com/OpportunityInsights/EconomicTracker From the Web site: The Opportunity Insights Economic Tracker (https://tracktherecovery.org) combines anonymized data from leading private companies – from credit card processors to payroll firms – to provide a real-time picture of indicators such as employment rates, consumer spending, and job postings across counties, industries, and income groups. All of the data displayed on the Economic Tracker can be downloaded here. In collaboration with our data partners, we are making this data freely available in order to assist in efforts to inform the public, policymakers, and researchers about the real-time state of the economy and the effects of COVID-19. Anyone is welcome to use this data; we simply we ask that you attribute our work by citing or linking to the accompanying paper and the Economic Tracker at https://tracktherecovery.org.
- API data.cityofchicago.org | Last Updated 2015-06-04T21:55:52.000Z
The locations of the Chicago Park District water and weather sensors that feed https://data.cityofchicago.org/d/qmqz-2xku and https://data.cityofchicago.org/d/k7hf-8y75.
- API mydata.iowa.gov | Last Updated 2021-01-13T14:50:51.000Z
This dataset contains Iowa unemployment insurance initial claims by county. County data is based on the claimant’s place of residence. (2011 to date)
- API data.richmondgov.com | Last Updated 2017-09-28T17:25:39.000Z
This dataset is provided as a resource for cross-referencing data with the City's GIS. Here, parcels are summarized by many geographic entities such as Census, Enterprise Zones, Neighborhood, Zoning, and many more... Use of the PIN key can be used for this purpose. (Update Frequency: Quarterly)
- API mydata.iowa.gov | Last Updated 2021-01-25T23:00:41.000Z
This dataset contains aggregate Medicaid payments, and counts for eligible recipients and recipients served by month and county in Iowa, starting with month ending 1/31/2011. Eligibility groups are a category of people who meet certain common eligibility requirements. Some Medicaid eligibility groups cover additional services, such as nursing facility care and care received in the home. Others have higher income and resource limits, charge a premium, only pay the Medicare premium or cover only expenses also paid by Medicare, or require the recipient to pay a specific dollar amount of their medical expenses. Eligible Medicaid recipients may be considered medically needy if their medical costs are so high that they use up most of their income. Those considered medically needy are responsible for paying some of their medical expenses. This is called meeting a spend down. Then Medicaid would start to pay for the rest. Think of the spend down like a deductible that people pay as part of a private insurance plan.
- API data.virginia.gov | Last Updated 2020-10-01T15:41:54.000Z
This service is Virginia data from the 2011 release of the Census Bureau TIGER/Line Shapefile for national counties or equivalent boundaries (tl_2011_us_county.shp) The TIGER/Line Files are shapefiles and related database files (.dbf) that 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 File 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 Virginia, cities are independent of any county organization and thus constitute primary divisions. These incorporated places are known as independent cities and are treated as equivalent to counties for purposes of data presentation. The 2010 Census boundaries for counties and equivalent entities are as of January 1, 2010, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).