The map below shows majority race by area in Kosciusko, 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 Kosciusko racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Kosciusko overall is black, making up 50.8% of residents. The next most-common racial group is white at 45.0%. 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 Kosciusko
Self-Identified Race |
Kosciusko, MS Population |
|---|---|
White |
45.0% |
Hispanic |
2.4% |
Black |
50.8% |
Asian |
0.0% |
Native American |
0.1% |
Other |
1.7% |
Diversity and Diversity Scores for Kosciusko, MS
The map below shows diversity in Kosciusko. 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.
Kosciusko Diversity Score
53.9
More diverse than 88% of US cities
Kosciusko has a diversity score of 53.9: 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. Kosciusko is much more diverse than other US cities, more diverse than 88% of them. Within Kosciusko's proper boundaries, the most diverse area is northeast Kosciusko, and the least diverse areas are in southeast Kosciusko.
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.