The map below shows majority race by area in 29932, 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 29932 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29932 overall is black, making up 48.0% of residents. The next most-common racial group is white at 28.7%. There are more black people in the south areas of the zip. People who identify as white are most likely to be living in the northeast 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 29932
Self-Identified Race |
29932, SC Population |
|---|---|
White |
28.7% |
Hispanic |
18.7% |
Black |
48.0% |
Asian |
0.0% |
Native American |
0.9% |
Other |
3.7% |
Diversity and Diversity Scores for 29932, SC
The map below shows diversity in 29932. 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
29932 Diversity Score
65.1
More diverse than 94% of US zip codes
29932 has a diversity score of 65.1: 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. 29932 is much more diverse than other US zip codes, more diverse than 94% of them. Within 29932's proper boundaries, the most diverse area is northeast 29932, and the least diverse areas are in south 29932.
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.