The map below shows majority race by area in Mayesville, 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 Mayesville racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Mayesville overall is black, making up 61.2% of residents. The next most-common racial group is white at 35.9%. There are more black people in the northeast areas of the city. People who identify as white are most likely to be living in the west 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 Mayesville
Self-Identified Race |
Mayesville, SC Population |
|---|---|
White |
35.9% |
Hispanic |
0.8% |
Black |
61.2% |
Asian |
0.0% |
Native American |
0.3% |
Other |
1.7% |
Diversity and Diversity Scores for Mayesville, SC
The map below shows diversity in Mayesville. 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 city would both be considered lacking diversity.
Mayesville Diversity Score
49.6
More diverse than 83% of US cities
Mayesville has a diversity score of 49.6: 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. Mayesville is much more diverse than other US cities, more diverse than 83% of them. Within Mayesville's proper boundaries, the most diverse area is southwest Mayesville, and the least diverse areas are in west Mayesville.
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.