The map below shows majority race by area in Dunn Loring, 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 Dunn Loring racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Dunn Loring overall is white, making up 52.9% of residents. The next most-common racial group is asian at 28.1%. There are more white people in the southwest areas of the city. People who identify as asian 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 Dunn Loring
Self-Identified Race |
Dunn Loring, VA Population |
|---|---|
White |
52.9% |
Hispanic |
8.0% |
Black |
2.8% |
Asian |
28.1% |
Native American |
0.0% |
Other |
8.3% |
Diversity and Diversity Scores for Dunn Loring, VA
The map below shows diversity in Dunn Loring. 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.
Dunn Loring Diversity Score
62.8
More diverse than 96% of US cities
Dunn Loring has a diversity score of 62.8: 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. Dunn Loring is much more diverse than other US cities, more diverse than 96% of them. Within Dunn Loring's proper boundaries, the most diverse area is east Dunn Loring, and the least diverse areas are in southwest Dunn Loring.
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.