This is a csv export from https://covidtracking.com/race/dashboard, a dashboard that reports the "latest race and ethnicity data from every state and territory that reports it." This data is presented alongside corresponding population data for each racial or ethnic group from the Census Bureau’s 2018 ACS 5-Year estimates. Note that we have used standard Census categories for race and ethnicity throughout this dashboard, but many states are currently reporting their data using non-standard categories.

More information is available from the Web site. This is a project from The Atlantic.

About the data: https://covidtracking.com/race/about#download-the-data

This dataset includes the cumulative (total) number of COVID-19 cases, hospitalizations, and deaths for each health district in Virginia by report date and by race and ethnicity. This dataset was first published on June 15, 2020. 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. The Virginia Department of Health’s Thomas Jefferson Health District (TJHD) will be renamed to Blue Ridge Health District (BRHD), effective January 2021. More information about this change can be found here: https://www.vdh.virginia.gov/blue-ridge/name-change/

The data in this table breaks down median household income in each Virginia locality overall, as well as by race/ethnicity. (Median household income in the past 12 months in 2019 inflation-adjusted dollars.)

Note/explanation of value = -666666666 :
A '-' entry 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.

This table lists the overall population of each Virginia locality, as well as a breakdown of each locality's population by race. Each column's description explains the race identification. In addition, for each locality, there is a column for those who identified their ethnicity as "Hispanic or Latino Origin."

Please see note from the Census Reporter regarding race in Census data:
Census data about race is complicated. While casual language and even much reporting proceeds as if each person had exactly one race, the Census Bureau allows each person to select as many as six race options, one of which is simply "some other race." Furthermore, "hispanic/latino" is not a race, but a characteristic tracked independently. Note that hispanic respondents disproportionately choose "some other race alone": nationwide, more than 25% of hispanics make that choice, compared to a fraction of a percent of non-hispanics. (https://censusreporter.org/topics/race-hispanic/)

This table shows the mean income per capita in each locality by the following race/ethicity identifiers: White alone; Black or African American alone; White alone, not Hispanic or Latino; and Hispanic or Latino.

There is no data returned from the Census api for the following race/ethnicity identifiers:
American Indian and Alaska Native Alone; Asian Alone; Native Hawaiian and Other Pacific Islander Alone; Some Other Race Alone; and Two or More Races.

Information on this dataset from https://censusreporter.org/topics/income/
Table B19301, "Per Capita income", is simply the value for B19313 "Aggregate Income" divided by the total population estimate for the summary geography. This statistic is more or less the 'average' income. Note the potential for misunderstanding: A) the aggregate income is divided among all people, not only those who actually had income, and B) as with any average, outliers (very big earners) can have a disproportionate effect on resulting figure.

Explanation of value = -666666666 :
A '-' entry 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.

This dataset records a breakdown of total households in each Virginia locality, and then offers numbers of owner-occupied households for each Virginia locality, followed by a breakdown of that ownership based on Race/Ethnicity.

2004 to 2020 Virginia Employment Status of the Civilian Non-Institutional Population by Sex, by Race, Hispanic or Latino ethnicity, and detailed by Age, by Year. Annual averages, numbers in thousands.

U.S. Bureau of Labor Statistics; Local Area Unemployment Statistics, Expanded State Employment Status Demographic Data
Data accessed from the Bureau of Labor Statistics website (https://www.bls.gov/lau/ex14tables.htm)

Statewide data on the demographic and economic characteristics of the labor force are published on an annual-average basis from the Current Population Survey (CPS), the sample survey of households used to calculate the U.S. unemployment rate (https://www.bls.gov/cps/home.htm). For each state and the District of Columbia, employment status data are tabulated for 67 sex, race, Hispanic or Latino ethnicity, marital status, and detailed age categories and evaluated against a minimum base, calculated to reflect an expected maximum coefficient of variation (CV) of 50 percent, to determine reliability for publication.

The CPS sample was redesigned in 2014–15 to reflect the distribution of the population as of the 2010 Census. At the same time, BLS developed improved techniques for calculating minimum bases. These changes resulted in generally higher minimum bases of unemployment, leading to the publication of fewer state-demographic groups beginning in 2015. The most notable impact was on the detailed age categories, particularly the teenage and age 65 and older groups. In an effort to extend coverage, BLS introduced a version of the expanded state employment status demographic table with intermediate age categories, collapsing the seven categories historically included down to three. Ages 16–19 and 20–24 were combined into a 16–24 year-old category, ages 25–34, 35–44, and 45–54 were combined into a 25–54 year-old category, and ages 55–64 and 65 and older were combined into a 55-years-and-older category. These intermediate age data are tabulated for the total population, as well as the four race and ethnicity groups, and then are evaluated against the unemployment minimum bases. The more detailed age categories continue to be available in the main version of the expanded table, where the minimum base was met.

Additional information on the uses and limitations of statewide data from the CPS can be found in the document Notes on Using Current Population Survey (https://www.bls.gov/lau/notescps.htm) Subnational Data and in Appendix B of the bulletin Geographic Profile of Employment and Unemployment (https://www.bls.gov/opub/geographic-profile/home.htm).

"ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event.

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."

For more see https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html

2013-2020 Virginia Population by Race by Census Block Group. Contains estimates and margins of error.

U.S. Census Bureau; American Community Survey, American Community Survey 5-Year Estimates, Table B03002
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.