The map below shows majority race by area in 29697, 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 29697 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 29697 overall is white, making up 77.6% of residents. The next most-common racial group is hispanic at 8.0%. There are more white people in the northeast areas of the zip. People who identify as hispanic 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 29697
Self-Identified Race |
29697, SC Population |
|---|---|
White |
77.6% |
Hispanic |
8.0% |
Black |
7.8% |
Asian |
0.2% |
Native American |
0.0% |
Other |
6.3% |
Diversity and Diversity Scores for 29697, SC
The map below shows diversity in 29697. 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
29697 Diversity Score
38.1
More diverse than 62% of US zip codes
29697 has a diversity score of 38.1: 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. 29697 is more diverse than other US zip codes, more diverse than 62% of them. Within 29697's proper boundaries, the most diverse area is south 29697, and the least diverse areas are in northeast 29697.
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.