The map below shows majority race by area in South Riding, 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 South Riding racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in South Riding overall is asian, making up 38.6% of residents. The next most-common racial group is white at 36.5%. There are more asian people in the east areas of the city. People who identify as white are most likely to be living in the southeast 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 South Riding
Self-Identified Race |
South Riding, VA Population |
|---|---|
White |
36.5% |
Hispanic |
10.2% |
Black |
7.7% |
Asian |
38.6% |
Native American |
0.2% |
Other |
6.8% |
Diversity and Diversity Scores for South Riding, VA
The map below shows diversity in South Riding. 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.
South Riding Diversity Score
69.7
More diverse than 99% of US cities
South Riding has a diversity score of 69.7: 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. South Riding is much more diverse than other US cities, more diverse than 99% of them. Within South Riding's proper boundaries, the most diverse area is north South Riding, and the least diverse areas are in south South Riding.
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.