Race, Diversity, and Ethnicity in Scooba, MS

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

Scooba, 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 Scooba overall is black, making up 64.4% of residents. The next most-common racial group is white at 35.1%. 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 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 Scooba
Race
Scooba, MS Population
White
35.1%
Hispanic
0.0%
Black
64.4%
Asian
0.5%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Scooba, MS Population
White
35.1%
Hispanic
0.0%
Black
64.4%
Asian
0.5%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Scooba, MS

The map below shows diversity in Scooba. 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.

Scooba, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Scooba Diversity Score

72

With a diversity score of 72 out of 100, Scooba is more diverse than other US cities. The most diverse area within Scooba's proper boundaries is to the southeast of the city. The least diverse areas are located in the central parts of Scooba.

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

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