Race, Diversity, and Ethnicity in Red Banks, MS

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.

Red Banks, MS map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Red Banks overall is white, making up 56.7% of residents. The next most-common racial group is black at 28.3%. There are more white people in the north areas of the city. People who identify as black 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 Red Banks
Race
Red Banks, MS Population
White
56.7%
Hispanic
14.8%
Black
28.3%
Asian
0.0%
Native American
0.0%
Other
0.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Red Banks, MS Population
White
56.7%
Hispanic
14.8%
Black
28.3%
Asian
0.0%
Native American
0.0%
Other
0.2%
   

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, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Red Banks Diversity Score

86

With a diversity score of 86 out of 100, Red Banks is much more diverse than other US cities. The most diverse area within Red Banks's proper boundaries is to the south of the city. The least diverse areas are located in the north parts of Red Banks.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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