The map below shows majority race by area in Pound, as self-identified on the US census. Darker shades indicate a larger racial majority in that neighborhood. This page also contains data and maps on Pound racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Pound overall is white, making up 84.1% of residents. The next most-common racial group is black at 11.5%. There are more white people in the southwest areas of the city. People who identify as black are most likely to be living in the east places. The data below shows how many people identify themselves as each of the following races, which most Americans base on their family's national origin:
Race in Pound
Self-Identified Race |
Pound, VA Population |
|---|---|
White |
84.1% |
Hispanic |
0.8% |
Black |
11.5% |
Asian |
0.4% |
Native American |
0.2% |
Other |
3.0% |
Diversity and Diversity Scores for Pound, VA
The map below shows diversity in Pound. Areas in green are more diverse, while areas in red are much less diverse. Diversity, in this case, means a mixture of people with different race and ethnicity living close to one another. For example, all-black and all-white areas in the city would both be considered lacking diversity.
Less diverse
More diverse
Colorblind friendly
off
Pound Diversity Score
27.8
More diverse than 58% of US cities
Pound has a diversity score of 27.8: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Pound is about average for diversity versus other US cities, more diverse than 58% of them. Within Pound's proper boundaries, the most diverse area is east Pound, and the least diverse areas are in southwest Pound.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.