The map below shows majority race by area in 29732, 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 29732 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29732 overall is white, making up 66.1% of residents. The next most-common racial group is black at 20.2%. There are more white people in the southwest areas of the zip. People who identify as black are most likely to be living in the south 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 29732
Self-Identified Race |
29732, SC Population |
|---|---|
White |
66.1% |
Hispanic |
7.3% |
Black |
20.2% |
Asian |
1.7% |
Native American |
0.2% |
Other |
4.6% |
Diversity and Diversity Scores for 29732, SC
The map below shows diversity in 29732. 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 zip would both be considered lacking diversity.
Less diverse
More diverse
Colorblind friendly
off
29732 Diversity Score
51.5
More diverse than 78% of US zip codes
29732 has a diversity score of 51.5: 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. 29732 is more diverse than other US zip codes, more diverse than 78% of them. Within 29732's proper boundaries, the most diverse area is east 29732, and the least diverse areas are in southwest 29732.
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.