The map below shows majority race by area in Snelling, 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 Snelling racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Snelling overall is white, making up 60.5% of residents. The next most-common racial group is black at 26.9%. 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 southeast 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 Snelling
Self-Identified Race |
Snelling, SC Population |
|---|---|
White |
60.5% |
Hispanic |
3.8% |
Black |
26.9% |
Asian |
1.6% |
Native American |
0.0% |
Other |
7.2% |
Diversity and Diversity Scores for Snelling, SC
The map below shows diversity in Snelling. 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.
Snelling Diversity Score
55.5
More diverse than 90% of US cities
Snelling has a diversity score of 55.5: 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. Snelling is much more diverse than other US cities, more diverse than 90% of them. Within Snelling's proper boundaries, the most diverse area is southeast Snelling, and the least diverse areas are in central Snelling.
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.