The map below shows majority race by area in Ware Shoals, 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 Ware Shoals racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Ware Shoals overall is white, making up 78.8% of residents. The next most-common racial group is black at 10.8%. 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 southwest 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 Ware Shoals
Self-Identified Race |
Ware Shoals, SC Population |
|---|---|
White |
78.8% |
Hispanic |
6.3% |
Black |
10.8% |
Asian |
0.7% |
Native American |
0.0% |
Other |
3.5% |
Diversity and Diversity Scores for Ware Shoals, SC
The map below shows diversity in Ware Shoals. 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.
Ware Shoals Diversity Score
36.2
More diverse than 69% of US cities
Ware Shoals has a diversity score of 36.2: 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. Ware Shoals is more diverse than other US cities, more diverse than 69% of them. Within Ware Shoals's proper boundaries, the most diverse area is central Ware Shoals, and the least diverse areas are in east Ware Shoals.
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.