The map below shows majority race by area in Minter City, 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 Minter City racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Minter City overall is black, making up 75.5% of residents. The next most-common racial group is white at 22.3%. There are more black people in the northeast areas of the city. People who identify as white are most likely to be living in the southwest 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 Minter City
Self-Identified Race |
Minter City, MS Population |
|---|---|
White |
22.3% |
Hispanic |
0.0% |
Black |
75.5% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.3% |
Diversity and Diversity Scores for Minter City, MS
The map below shows diversity in Minter City. 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.
Minter City Diversity Score
38.1
More diverse than 71% of US cities
Minter City has a diversity score of 38.1: 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. Minter City is more diverse than other US cities, more diverse than 71% of them. Within Minter City's proper boundaries, the most diverse area is south Minter City, and the least diverse areas are in northeast Minter City.
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.