Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Shenandoah County Public Schools in partnership with Shentel.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by the West Piedmont PDC in partnership with RiverStreet Networks for its western project area.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Charles City County in partnership with Comcast.

This dataset includes the number of visits for heat-related illness (HRI) at emergency departments and urgent cares in Virginia by year (includes visits from May-September only), by patient geography, and by sex. VDH health regions are assigned using the patient's residential zip code for Virginia residents. Patients with non-Virginia or unknown zip codes are grouped as 'Out of State.' Data set includes HRI visits between May through September only for years 2015 through the current year (year-to-date). When data set is downloaded, the years will be sorted in ascending order, meaning that the earliest year will be at the top. To see data for the most recent year, please scroll down to the bottom of the data set.

eVA is used by more than 245 state agencies and institutes of higher education, and 900+ local governments and public bodies, to announce bidding opportunities, receive quotes, order placement & approvals, contract management and more. Since its inception in 2001, eVA has transformed the way the Commonwealth buys goods and services from a decentralized, paper based process to a centralized, electronic platform. Providing industry leading procurement solutions for all public bodies, the marketplace includes nearly 100,000 businesses competing to provide the Commonwealth with quality goods and services, resulting in more than $25 million in savings annually. This dataset contains the purchase orders for the goods and services.

2013-2021 Virginia Population by Age by Language Spoken at Home by Ability to Speak English for the Population 5 years and over by Census Block Group. Contains estimates and margins of error.

U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B16004
Data accessed from: Census Bureau's API for American Community Survey (https://www.census.gov/data/developers/data-sets.html)

The United States Census Bureau's American Community Survey (ACS):
-What is the American Community Survey? (https://www.census.gov/programs-surveys/acs/about.html)
-Geography & ACS (https://www.census.gov/programs-surveys/acs/geography-acs.html)
-Technical Documentation (https://www.census.gov/programs-surveys/acs/technical-documentation.html)

Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section. (https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html)

Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section. (https://www.census.gov/acs/www/methodology/sample_size_and_data_quality/)

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.

Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation https://www.census.gov/programs-surveys/acs/technical-documentation.html). The effect of nonsampling error is not represented in these tables.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Stafford County in partnership with Comcast.