The map below shows majority race by area in State Farm, 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 State Farm racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in State Farm overall is white, making up 46.6% of residents. The next most-common racial group is black at 40.9%. There are more white people in the northwest areas of the city. People who identify as black are most likely to be living in the south 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 State Farm
Self-Identified Race |
State Farm, VA Population |
|---|---|
White |
46.6% |
Hispanic |
6.2% |
Black |
40.9% |
Asian |
0.4% |
Native American |
0.5% |
Other |
5.5% |
Diversity and Diversity Scores for State Farm, VA
The map below shows diversity in State Farm. 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.
State Farm Diversity Score
60.9
More diverse than 95% of US cities
State Farm has a diversity score of 60.9: 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. State Farm is much more diverse than other US cities, more diverse than 95% of them. Within State Farm's proper boundaries, the most diverse area is south State Farm, and the least diverse areas are in northwest State Farm.
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.