The map below shows majority race by area in Level Run, 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 Level Run racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Level Run overall is white, making up 84.6% of residents. The next most-common racial group is black at 12.6%. There are more white people in the east areas of the city. People who identify as black are most likely to be living in the northwest 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 Level Run
Self-Identified Race |
Level Run, VA Population |
|---|---|
White |
84.6% |
Hispanic |
0.7% |
Black |
12.6% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.1% |
Diversity and Diversity Scores for Level Run, VA
The map below shows diversity in Level Run. 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.
Level Run Diversity Score
26.7
More diverse than 57% of US cities
Level Run has a diversity score of 26.7: 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. Level Run is about average for diversity versus other US cities, more diverse than 57% of them. Within Level Run's proper boundaries, the most diverse area is northwest Level Run, and the least diverse areas are in east Level Run.
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.