The map below shows majority race by area in 29353, 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 29353 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29353 overall is white, making up 78.9% of residents. The next most-common racial group is black at 15.1%. There are more white people in the west 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 29353
Self-Identified Race |
29353, SC Population |
|---|---|
White |
78.9% |
Hispanic |
2.5% |
Black |
15.1% |
Asian |
0.1% |
Native American |
0.9% |
Other |
2.6% |
Diversity and Diversity Scores for 29353, SC
The map below shows diversity in 29353. 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
29353 Diversity Score
35.4
More diverse than 59% of US zip codes
29353 has a diversity score of 35.4: 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. 29353 is about average for diversity versus other US zip codes, more diverse than 59% of them. Within 29353's proper boundaries, the most diverse area is southeast 29353, and the least diverse areas are in west 29353.
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.