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.

This data is culled from the site COVID County Data and shows the daily recordation of the total number of cases and deaths from COVID-19 for each locality in Virginia. Dates covered: 1/21/2020 through 9/14/2020 (last update).

From FeedVA, ArcGIS maps using data to explore "trends in hunger, food access, and health."

SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking.

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).

Made available through Socrata COVID-19 Plugin via API. This data is for Virginia only.

This data comes from:
COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University
This is the data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).

From the site:
Masks play a crucial role in protecting the health of individuals against respiratory diseases, as is one of the few precautions available for COVID-19 in the absence of immunization. With this dataset, it is possible to create a model to detect people wearing masks, not wearing them, or wearing masks improperly.
This dataset contains 853 images belonging to the 3 classes, as well as their bounding boxes in the PASCAL VOC format.
The classes are:

With mask;
Without mask;
Mask worn incorrectly.

This dataset includes two external resources:

1) Higher Ed Data for Virginia, the research portal for SCHEV that has links to blog posts and articles, information related to Virginia's 2- and 4-year higher education institutions, county-based data, and student-level information regarding financial aid, post-graduate salaries, etc.

2) 2020 SCHEV report "A Closer Look at Virginia's Digital Divide in Education" and the associated data tables that informed that report (delivered as an Excel (.xlsx) file or downloadable from the site as a Google sheet).