The map below shows majority race by area in 29062, 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 29062 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29062 overall is black, making up 79.1% of residents. The next most-common racial group is white at 17.5%. There are more black people in the north areas of the zip. People who identify as white are most likely to be living in the central 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 29062
Self-Identified Race |
29062, SC Population |
|---|---|
White |
17.5% |
Hispanic |
0.0% |
Black |
79.1% |
Asian |
0.0% |
Native American |
0.0% |
Other |
3.4% |
Diversity and Diversity Scores for 29062, SC
The map below shows diversity in 29062. 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
29062 Diversity Score
34.3
More diverse than 58% of US zip codes
29062 has a diversity score of 34.3: 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. 29062 is about average for diversity versus other US zip codes, more diverse than 58% of them. Within 29062's proper boundaries, the most diverse area is central 29062, and the least diverse areas are in north 29062.
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.