Race, Diversity, and Ethnicity in Trapp, MS

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

Trapp, 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 Trapp overall is native american, making up 63.3% of residents. The next most-common racial group is white at 27.0%. There are more native american people in the central areas of the city. People who identify as white are most likely to be living in the south 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 Trapp
Race
Trapp, MS Population
White
27.0%
Hispanic
0.8%
Black
5.7%
Asian
1.2%
Native American
63.3%
Other
2.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Trapp, MS Population
White
27.0%
Hispanic
0.8%
Black
5.7%
Asian
1.2%
Native American
63.3%
Other
2.0%
   

Diversity and Diversity Scores for Trapp, MS

The map below shows diversity in Trapp. 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.

Trapp, MS map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Trapp Diversity Score

78

With a diversity score of 78 out of 100, Trapp is more diverse than other US cities. The most diverse area within Trapp's proper boundaries is to the west of the city. The least diverse areas are located in the southeast parts of Trapp.

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

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