The map below shows majority race by area in 29464, 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 29464 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29464 overall is white, making up 87.8% of residents. The next most-common racial group is black at 6.0%. There are more white people in the east areas of the zip. People who identify as black 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 29464
Self-Identified Race |
29464, SC Population |
|---|---|
White |
87.8% |
Hispanic |
2.0% |
Black |
6.0% |
Asian |
0.9% |
Native American |
0.0% |
Other |
3.2% |
Diversity and Diversity Scores for 29464, SC
The map below shows diversity in 29464. 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
29464 Diversity Score
22.4
More diverse than 42% of US zip codes
29464 has a diversity score of 22.4: 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. 29464 is about average for diversity versus other US zip codes, more diverse than 42% of them. Within 29464's proper boundaries, the most diverse area is northeast 29464, and the least diverse areas are in east 29464.
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.