The map below shows majority race by area in Mississippi, 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 Mississippi racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Mississippi overall is white, making up 55.9% of residents. The next most-common racial group is black at 35.7%. There are more white people in the south areas of the state. People who identify as black are most likely to be living in the northwest 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 Mississippi
Self-Identified Race |
Mississippi Population |
|---|---|
White |
55.9% |
Hispanic |
3.7% |
Black |
35.7% |
Asian |
1.0% |
Native American |
0.4% |
Other |
3.3% |
Diversity and Diversity Scores for Mississippi
The map below shows diversity in Mississippi. 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 state would both be considered lacking diversity.
Mississippi Diversity Score
55.8
More diverse than 59% of US states
Mississippi has a diversity score of 55.8: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Mississippi is about average for diversity versus other US states, more diverse than 59% of them. Within Mississippi's proper boundaries, the most diverse area is east Mississippi, and the least diverse areas are in south Mississippi.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.