Race, Diversity, and Ethnicity in Sabougla, MS

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

Sabougla, 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 Sabougla overall is white, making up 64.0% of residents. The next most-common racial group is black at 34.7%. There are more white people in the central areas of the city. People who identify as black are most likely to be living in the north 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 Sabougla
Race
Sabougla, MS Population
White
64.0%
Hispanic
0.4%
Black
34.7%
Asian
0.0%
Native American
0.9%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Sabougla, MS Population
White
64.0%
Hispanic
0.4%
Black
34.7%
Asian
0.0%
Native American
0.9%
Other
0.0%
   

Diversity and Diversity Scores for Sabougla, MS

The map below shows diversity in Sabougla. 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.

Sabougla, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Sabougla Diversity Score

74

With a diversity score of 74 out of 100, Sabougla is more diverse than other US cities. The most diverse area within Sabougla's proper boundaries is to the south of the city. The least diverse areas are located in the central parts of Sabougla.

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

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