The map below shows majority race by area in Conehatta, 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 Conehatta racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Conehatta overall is white, making up 47.6% of residents. The next most-common racial group is native american at 27.3%. There are more white people in the northwest areas of the city. People who identify as native american are most likely to be living in the central 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 Conehatta
Self-Identified Race |
Conehatta, MS Population |
|---|---|
White |
47.6% |
Hispanic |
0.3% |
Black |
8.0% |
Asian |
0.5% |
Native American |
27.3% |
Other |
16.4% |
Diversity and Diversity Scores for Conehatta, MS
The map below shows diversity in Conehatta. 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.
Conehatta Diversity Score
66.6
More diverse than 98% of US cities
Conehatta has a diversity score of 66.6: 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. Conehatta is much more diverse than other US cities, more diverse than 98% of them. Within Conehatta's proper boundaries, the most diverse area is central Conehatta, and the least diverse areas are in northwest Conehatta.
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.