The map below shows majority race by area in South Hills, 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 Hills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in South Hills overall is white, making up 55.2% of residents. The next most-common racial group is black at 36.4%. There are more white people in the north 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 Hills
Self-Identified Race |
South Hills, SC Population |
|---|---|
White |
55.2% |
Hispanic |
0.4% |
Black |
36.4% |
Asian |
0.0% |
Native American |
0.2% |
Other |
7.8% |
Diversity and Diversity Scores for South Hills, SC
The map below shows diversity in South Hills. 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 Hills Diversity Score
55.6
More diverse than 90% of US cities
South Hills has a diversity score of 55.6: 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 Hills is much more diverse than other US cities, more diverse than 90% of them. Within South Hills's proper boundaries, the most diverse area is east South Hills, and the least diverse areas are in north South Hills.
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.