The map below shows majority race by area in Rock Bluff, 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 Rock Bluff racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Rock Bluff overall is black, making up 85.8% of residents. The next most-common racial group is white at 14.1%. There are more black people in the south areas of the city. People who identify as white 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 Rock Bluff
Self-Identified Race |
Rock Bluff, SC Population |
|---|---|
White |
14.1% |
Hispanic |
0.1% |
Black |
85.8% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Rock Bluff, SC
The map below shows diversity in Rock Bluff. 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.
Rock Bluff Diversity Score
24.5
More diverse than 54% of US cities
Rock Bluff has a diversity score of 24.5: 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. Rock Bluff is about average for diversity versus other US cities, more diverse than 54% of them. Within Rock Bluff's proper boundaries, the most diverse area is northwest Rock Bluff, and the least diverse areas are in south Rock Bluff.
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.