Race, Diversity, and Ethnicity in Marianna, MS

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

Marianna, 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 Marianna overall is black, making up 65.3% of residents. The next most-common racial group is white at 34.7%. 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 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 Marianna
Race
Marianna, MS Population
White
34.7%
Hispanic
0.0%
Black
65.3%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Marianna, MS Population
White
34.7%
Hispanic
0.0%
Black
65.3%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Marianna, MS

The map below shows diversity in Marianna. 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.

Marianna, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Marianna Diversity Score

70

With a diversity score of 70 out of 100, Marianna is more diverse than other US cities. The most diverse area within Marianna's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Marianna.

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

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