The map below shows majority race by area in 29032, 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 29032 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29032 overall is white, making up 63.8% of residents. The next most-common racial group is black at 25.5%. There are more white people in the north areas of the zip. People who identify as black are most likely to be living in the east 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 29032
Self-Identified Race |
29032, SC Population |
|---|---|
White |
63.8% |
Hispanic |
3.3% |
Black |
25.5% |
Asian |
0.1% |
Native American |
0.1% |
Other |
7.2% |
Diversity and Diversity Scores for 29032, SC
The map below shows diversity in 29032. 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
29032 Diversity Score
52.1
More diverse than 79% of US zip codes
29032 has a diversity score of 52.1: 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. 29032 is more diverse than other US zip codes, more diverse than 79% of them. Within 29032's proper boundaries, the most diverse area is southeast 29032, and the least diverse areas are in north 29032.
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.