The map below shows majority race by area in Red Banks, 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 Red Banks racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Red Banks overall is black, making up 58.7% of residents. The next most-common racial group is white at 38.6%. There are more black people in the southeast areas of the city. People who identify as white 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 Red Banks
Self-Identified Race |
Red Banks, MS Population |
|---|---|
White |
38.6% |
Hispanic |
1.3% |
Black |
58.7% |
Asian |
0.0% |
Native American |
0.0% |
Other |
1.5% |
Diversity and Diversity Scores for Red Banks, MS
The map below shows diversity in Red Banks. 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.
Red Banks Diversity Score
50.7
More diverse than 84% of US cities
Red Banks has a diversity score of 50.7: 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. Red Banks is much more diverse than other US cities, more diverse than 84% of them. Within Red Banks's proper boundaries, the most diverse area is north Red Banks, and the least diverse areas are in southeast Red Banks.
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.