This dataset includes the count and rate per 100,000 Virginia residents for all-drug overdose deaths among Virginia residents by year and by city/county of the decedent. City/county localities are assigned using the patient's residence at time of death. Data set includes all-drug overdose death counts and rates for years 2017 through the most recent data year available. 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.

2013-2021 Virginia Median Household Income based on the past 12 months by Census Block Group. Contains estimates and margins of error.

Special data considerations: Large negative values do exist (more detail below) and should be addressed prior to graphing or aggregating the data.

A value of -666,666,666 in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.

A value of -222,222,222 in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.

U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B19013
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.

Annotation values are character representations of estimates and have values when non-integer information needs to be represented. Below are a few examples. Complete information is available on the ACS website under Notes on ACS Estimate and Annotation Values. (https://www.census.gov/data/developers/data-sets/acs-1year/notes-on-acs-estimate-and-annotation-values.html).

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

This data set includes the number of Monkeypox cases in Virginia by event date. This data set was first published on August 22, 2022. The data set increases in size daily and as a result, the dataset may take longer to update; however, it is expected to be available by 12:00 noon daily. When you download the data set, the dates will be sorted in ascending order, meaning that the earliest date will be at the top. To see data for the most recent date, please scroll down to the bottom of the data set.

This dataset includes the number and rate per 100,000 Virginia residents for drug overdose deaths among Virginia residents by year and by drug class (all-drug, any opioids, benzodiazepines, cocaine, heroin, methadone, natural and semi-synthetic opioids, natural, semi-synthetic and synthetic opioids, prescription pain relievers, psychostimulant, and synthetic opioids other than methadone). Data set includes drug overdose death counts and rates for years 2017 through the most recent data year available. When data set is downloaded, the dates will be sorted in ascending order, meaning that the earliest date will be at the top. To see data for the most recent date, please scroll down to the bottom of the data set.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by the Eastern Shore of Virginia Broadband Authority.

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.

Point shapefiles for the 2023 Virginia Telecommunication Initiative (VATI) grant application submitted by Thomas Jefferson PDC in partnership with Central Virginia Electric Co-op's Firefly.

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

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