The map below shows majority race by area in Nitta Yuma, 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 Nitta Yuma racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Nitta Yuma overall is black, making up 66.9% of residents. The next most-common racial group is white at 32.4%. 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 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 Nitta Yuma
Self-Identified Race |
Nitta Yuma, MS Population |
|---|---|
White |
32.4% |
Hispanic |
0.7% |
Black |
66.9% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Nitta Yuma, MS
The map below shows diversity in Nitta Yuma. 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.
Nitta Yuma Diversity Score
44.8
More diverse than 78% of US cities
Nitta Yuma has a diversity score of 44.8: 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. Nitta Yuma is more diverse than other US cities, more diverse than 78% of them. Within Nitta Yuma's proper boundaries, the most diverse area is central Nitta Yuma, and the least diverse areas are in east Nitta Yuma.
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.