Race, Diversity, and Ethnicity in 38666, MS

The map below shows majority race by area in 38666, 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 38666 racial diversity and diversity scores. Click here to scroll to diversity data.

38666, 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 38666 overall is black, making up 49.4% of residents. The next most-common racial group is white at 47.0%. There are more black people in the southwest areas of the zip. People who identify as white are most likely to be living in the east 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 38666
Race
38666, MS Population
White
47.0%
Hispanic
1.5%
Black
49.4%
Asian
0.0%
Native American
0.2%
Other
1.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
38666, MS Population
White
47.0%
Hispanic
1.5%
Black
49.4%
Asian
0.0%
Native American
0.2%
Other
1.9%
   

Diversity and Diversity Scores for 38666, MS

The map below shows diversity in 38666. 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 zip would both be considered lacking diversity.

38666, MS map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

38666 Diversity Score

59

With a diversity score of 59 out of 100, 38666 is about average for diversity versus other US zip codes. The most diverse area within 38666's proper boundaries is to the north of the zip. The least diverse areas are located in the southwest parts of 38666.

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

Home Services