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Technical Specifications and Instructions pertaining to the data collection are available at the following link: https://vsp.virginia.gov/sections-units-bureaus/bass/criminal-justice-information-services/uniform-crime-reporting/#LE-agency-and-vendor-information

A data collection consisting of all traffic and investigatory stops made in Virginia as aggregated by Virginia Department of State Police. https://law.lis.virginia.gov/vacode/title52/chapter6.1/

The dataset is comprised of VOC concentrations of soil gas, outdoor and indoor air samples collected at the site for the duration of this study. This dataset is associated with the following publication: Zimmerman, J., A. Williams, B. Schumacher, C. Lutes, L. Levy, G. Buckley, V. Boyd, C. Holton, T. McAlary, and R. Truesdale. The Representativeness of Subslab Soil Gas Collection as Effected by Probe Construction and Sampling Methods. Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 44(3): 106-121, (2024).

The dataset is comprised of: 1)VOC concentrations of soil gas and indoor air samples collected over the site; 2) the pressure readings used to monitor the pressure differential between subslab and indoor air. This dataset is associated with the following publication: Lutes, C., V. Boyd, G. Buckley, L. Levy, K. Bronstein, J. Zimmerman, A. Williams, and B. Schumacher. Impact of Hurricanes, Tropical Storms, and Coastal Extratropical Storms on Indoor Air VOC Concentrations. Groundwater Monitoring & Remediation. Wiley-Blackwell Publishing, Hoboken, NJ, USA, 44(2): 101-117, (2024).

In-depth dataset factsheet can be found here.

This dataset includes the number and percentage of emergency department (ED) visits for COVID-19, Influenza, and RSV by week and age group. This dataset corresponds to the data on https://www.vdh.virginia.gov/epidemiology/respiratory-diseases-in-virginia/data/.

Slice created from parent data set: Full Virginia Girls' Reformatory Admissions Database 1910-1938

Data set of 2,370 individual female reformatory inmates admitted to the Virginia Home and Industrial School for Girls at Bon Air and the Industrial Home School for Colored Girls at Peake’s Turnout between 1910 and 1938. Created out of the unpublished and archived admissions books of these institutions. Due to Virginia’s 75-year privacy restriction, I stopped collecting at December 1938 for each institution. Data from the Home at Bon Air runs 1910 to 1938; from the Home at Peake’s Turnout from 1915 to 1938. Each reformatory kept separate books, which were archived into separate collections. There was enough similarity between the two books to transcribe the data into one large data set.

Reformatory administrators hand wrote basic administrative information about each girl into bound books. For incoming delinquent girls, they recorded: student number, name, birthdate or age at admittance, date of admittance, and committing jurisdiction (by county or city jurisdiction.) The books also recorded the individual’s parole history, including first parole (and up to her third parole on an individual’s performance) and any return dates; administrators recorded the destination of the first parole, but this was inconsistently recorded. The books note when and to whom inmates were married, usually after their official dismissal. Because transferring an inmate officially removed them from the responsibility of the reformatory, administrators recorded transfer information, including where they went and when. Lastly, the books recorded the official dismissal date and reason. Bon Air’s books were more consistent with recording dismissals and neither institution used consistent definitions of “transfer” versus “dismissal.” I manually transcribed these books verbatim into a database. From this core data, I added categories of information to aid my analysis. These include: race, gender, and reformatory; calculations of either age or birthdate (Peake’s recorded birthdates, Bon Air only ages); parole year taken from the first parole date; parole type determined by me based on the parole destination, if recorded. To help me analyze transfer and dismissal information, I determined the “type” and “category” of each transfer or dismissal and added new categories. These allowed me to “rollup” the varieties of recorded data into fewer descriptive types and categories. Because administrators recorded only the institution name or location when girls were transferred and dismissed elsewhere, this allowed me to organize this info into 18 “types”: asylum, colony, court, death, department of public welfare, escape, family, honorable discharge, illegal commitment, maternity, orphanage, other, penal, private, reorganization (only used for Bon Air in 1914), sanitorium/hospital, venereal disease, and wages. These 18 “types” were then further distilled into 9 “categories” to capture the broadest possible categorization of the reasons why girls were transferred or dismissed: administrative, death, escape, mental, penal, physical, private, unknown, and work.

I have removed the names of the individual inmates upon publication. Researchers interested in using this data in their own work can contact me at erin@erinbush.org to request the versions that include full name fields. The Data Dictionary is also available upon request.

The contents of these data sets, as government records, I believe fall under fair use.

Full Collection

Full Virginia Girls' Reformatory Admissions Database 1910-1938: https://zenodo.org/records/3872019

Full Virginia Girls' Reformatory Transfer and Dismissal Data 1910-1938: https://zenodo.org/records/3872110

Full Virginia Girls' Reformatory Parole Data 1910-1938: https://zenodo.org/records/3872100

The VA_TOWN dataset is a feature class component of the Virginia Administrative Boundaries dataset from the Virginia Geographic Information Network (VGIN). VA_TOWN represents the best available town boundary information to VGIN.VGIN initially sought to develop an improved locality and town boundary dataset in late 2013, spurred by response of the Virginia Administrative Boundaries Workgroup community. The feature class initially started from an extraction of town features from the Census TIGER dataset for Virginia. VGIN solicited input from localities in Virginia through the Road Centerlines data submission process as well as through public forums such as the Virginia Administrative Boundaries Workgroup and VGIN listservs. Data received were analyzed and incorporated into the VA_TOWN feature class where locality data were a superior representation of town boundaries.

© Virginia Geographic Information Network (VGIN), and the Census and Localities and Towns submitting data to the project This layer is a component of Feature classes representing locality (county, city, and town) boundaries in the Commonwealth of Virginia..

Data represents the best available city, county, and town boundary information provided to VGIN. VGIN initially sought to develop an improved locality and town boundary dataset in late 2013, spurred by response of the Virginia Administrative Boundaries Workgroup community. The feature class initially started from the locality boundaries from the Census TIGER dataset for Virginia. VGIN solicited input from localities in Virginia through the Road Centerlines data submission process as well as through public forums such as the Virginia Administrative Boundaries Workgroup and VGIN listservs. Data received were analyzed and incorporated into the included feature classes where locality data were a superior representation of the city or county boundary.

© Virginia Geographic Information Network (VGIN)

Virginia Breeze Bus Lines is an intercity bus service that connects underserved rural communities with larger urban areas across the Commonwealth. The service consists of four routes: the Valley Flyer, the Piedmont Express, the Capital Connector, and the Highlands Rhythm. DRPT provides funding and oversight, and Megabus operates the service. The service consists of four routes: the Valley Flyer, the Piedmont Express , the Capital Connector and the Highlands Rhythm.

A “runaway slave record,” or as it is officially titled, “Runaway and Escaped Slaves Records, 1794, 1806-1863,” include accounts, correspondence, receipts, and reports concerning expenses incurred by localities related to the capture of enslaved people attempting to escape bondage to pursue freedom. The collection also includes records with information related to enslaved people from multiple localities who escaped to United States military forces during the Civil War. While many independent businesses bought and sold human beings, local and state governments such as the state of Virginia also participated in and profited from human trafficking. Localities were reimbursed for the expenses of confining, feeding, and selling of self-emancipated people, and likewise, the state established procedures to compensate enslavers for their financial loss when enslaved people ran away or were imprisoned or executed. If a person was captured and their enslaver could not be identified, they became the property of the state and were sold. The proceeds from these sales went to the state treasury, and often, records of those sales can be found in the Public Claims records from the Auditor of Public Accounts. The net proceeds were deposited into the Commonwealth of Virginia’s Literary Fund for the public education of poor white children.

The data in this collection is drawn directly from the historical documents and may contain language that is now deemed offensive.

Comprehensive dataset of 256 Local government offices in Virginia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

United States Population: Virginia data was reported at 8,470,020.000 Person in 2017. This records an increase from the previous number of 8,414,380.000 Person for 2016. United States Population: Virginia data is updated yearly, averaging 7,839,007.000 Person from Jun 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 8,470,020.000 Person in 2017 and a record low of 7,104,533.000 Person in 2000. United States Population: Virginia data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.G003: Population By State.

Comprehensive dataset of 268 Markets in Virginia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The TIGER/Line shapefiles include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The boundaries of most incorporated places in this shapefile are as of January 1, 2023, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The boundaries of all CDPs were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census, but some CDPs were added or updated through the 2023 BAS as well.

Comprehensive dataset of 31 Services in Virginia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Northern Virginia Data Center Market size was valued at USD 13.9 Billion in 2024 and is expected to reach USD 36.6 Billion by 2032, growing at a CAGR of 12.8% from 2026 to 2032.

Key Market Drivers Robust Power Infrastructure: The robust power infrastructure drives the Northern Virginia data center market, that ensures cost-effective and consistent energy supply. Virginia's industrial energy prices in 2023 averaged 6.81 cents per kilowatt-hour, less than the national average of 7.51 cents, making it excellent for power-intensive enterprises. Dominion Energy's $15 billion investment in system upgrade increases the region's energy capacity.

Growing Data Generation: The growing generation of data is propelling the Northern Virginia data center market, by increasing the need for storage and processing capacity. data volume is expected to reach 181 zettabytes by 2025, up from 64.2 zettabytes in 2020, according to Statista.

Comprehensive dataset of 191 Research institutes in Virginia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This Appendix to the 2021 Virginia Coastal Resilience Master Plan Technical Study provides a simple consolidated list of study analytical and geospatial products. High-level descriptions of the approaches and products are available in the Coastal Resilience Master Plan document and the Coastal Resilience Web Explorer. The Web Explorer allows users to interact with many of the data products. Details on the data sources and methodologies for the products listed herein are located in the Coastal Resilience Master Plan Technical Appendices.

Last Checked: 2024https://www.dcr.virginia.gov/natural-heritage/clinfo#useThe purpose of including a catalog snapshot and linkage of geospatial datasets online from this agency is to enable keywords by an end user of the VA GIS Clearinghouse search functionality and provide the user an endpoint to the authoritative data source page. If additional geospatial datasets beyond the listing above need to be provided to VGIN from the authoritative data source in a custom request, please contact VGIN at VBMP@vdem.virginia.gov.

The main source of the crash data is owned and maintained by the Virginia Department of Motor Vehicle (DMV). DMV’s Traffic Records Electronic Data System (TREDS) is a state-of-the-art data system maintained by the DMV Highway Safety Office (HSO) that automates and centralizes all crash data in Virginia. Per data sharing use agreement with DMV, VDOT publishes the non-privileged crash data through Virginia Roads data portal. In providing this data, VDOT assumes no responsibility for the accuracy and completeness of the data. In the process of recording and compiling the data, some deletions and/or omissions of data may occur and VDOT is not responsible for any such occurrences. The most recent data contained in this dataset is preliminary and subject to change.

Please be advised that, under Title 23 United State Code – Section 407, this crash information cannot be used in discovery or as evidence in a Federal or State court proceeding or considered for other purposes in any action for damages against VDOT or the State of Virginia arising from any occurrence at the location identified.

All users shall comply with and be subject to all applicable laws and regulations, whether federal or state, in connection with any of the receipt and use of DMV data including, but not limited to, (1) the Federal Drivers Privacy Protection Act (18 U.S.C. § 2721 et seq.), (2) the Government Data Collection and Dissemination Practices Act (Va. Code § 2.2-3800 et seq.), (3) the Virginia Computer Crimes Act (Va. Code § 18.2-152.1 et seq.), (4) the provisions of Va. Code §§ 46.2-208 and 58.1-3, and (5) any successor rules, regulations, or guidelines adopted by DMV with regard to disclosure or dissemination of any information obtained from DMV records or files.