The map below shows majority race by area in 29564, 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 29564 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29564 overall is black, making up 91.6% of residents. The next most-common racial group is white at 6.7%. There are more black people in the northwest areas of the zip. People who identify as white are most likely to be living in the southeast 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 29564
Self-Identified Race |
29564, SC Population |
|---|---|
White |
6.7% |
Hispanic |
0.0% |
Black |
91.6% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.7% |
Diversity and Diversity Scores for 29564, SC
The map below shows diversity in 29564. 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
29564 Diversity Score
15.7
More diverse than 28% of US zip codes
29564 has a diversity score of 15.7: 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. 29564 is less diverse than other US zip codes, more diverse than 28% of them. Within 29564's proper boundaries, the most diverse area is southwest 29564, and the least diverse areas are in northwest 29564.
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.