Race, Diversity, and Ethnicity in Preston, MS

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

Preston, 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 Preston overall is black, making up 53.6% of residents. The next most-common racial group is white at 36.5%. There are more black people in the central 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 Preston
Race
Preston, MS Population
White
36.5%
Hispanic
0.0%
Black
53.6%
Asian
0.0%
Native American
9.3%
Other
0.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Preston, MS Population
White
36.5%
Hispanic
0.0%
Black
53.6%
Asian
0.0%
Native American
9.3%
Other
0.6%
   

Diversity and Diversity Scores for Preston, MS

The map below shows diversity in Preston. 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.

Preston, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Preston Diversity Score

81

With a diversity score of 81 out of 100, Preston is much more diverse than other US cities. The most diverse area within Preston's proper boundaries is to the central of the city. The least diverse areas are located in the northwest parts of Preston.

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

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