Race, Diversity, and Ethnicity in Bryant, MS

The map below shows majority race by area in Bryant, 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 Bryant racial diversity and diversity scores. Click here to scroll to diversity data.

Bryant, MS map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Bryant overall is white, making up 82.1% of residents. The next most-common racial group is black at 14.3%. There are more white people in the northwest areas of the city. People who identify as black 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 Bryant
Race
Bryant, MS Population
White
82.1%
Hispanic
0.0%
Black
14.3%
Asian
0.0%
Native American
0.0%
Other
3.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Bryant, MS Population
White
82.1%
Hispanic
0.0%
Black
14.3%
Asian
0.0%
Native American
0.0%
Other
3.7%
   

Diversity and Diversity Scores for Bryant, MS

The map below shows diversity in Bryant. 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.

Bryant, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Bryant Diversity Score

60

With a diversity score of 60 out of 100, Bryant is about average for diversity versus other US cities. The most diverse area within Bryant's proper boundaries is to the central of the city. The least diverse areas are located in the northwest parts of Bryant.

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

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