The map below shows majority race by area in South Mills, 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 Mills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in South Mills overall is white, making up 76.7% of residents. The next most-common racial group is black at 9.9%. There are more white people in the central 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 South Mills
Self-Identified Race |
South Mills, NC Population |
|---|---|
White |
76.7% |
Hispanic |
6.1% |
Black |
9.9% |
Asian |
0.9% |
Native American |
0.2% |
Other |
6.2% |
Diversity and Diversity Scores for South Mills, NC
The map below shows diversity in South Mills. 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 Mills Diversity Score
39.4
More diverse than 72% of US cities
South Mills has a diversity score of 39.4: 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 Mills is more diverse than other US cities, more diverse than 72% of them. Within South Mills's proper boundaries, the most diverse area is east South Mills, and the least diverse areas are in central South Mills.
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.