The map below shows majority race by area in Weathersby, 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 Weathersby racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Weathersby overall is black, making up 66.2% of residents. The next most-common racial group is white at 33.0%. There are more black people in the east areas of the city. People who identify as white are most likely to be living in the northeast 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 Weathersby
Self-Identified Race |
Weathersby, MS Population |
|---|---|
White |
33.0% |
Hispanic |
0.2% |
Black |
66.2% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.6% |
Diversity and Diversity Scores for Weathersby, MS
The map below shows diversity in Weathersby. 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.
Weathersby Diversity Score
45.2
More diverse than 78% of US cities
Weathersby has a diversity score of 45.2: 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. Weathersby is more diverse than other US cities, more diverse than 78% of them. Within Weathersby's proper boundaries, the most diverse area is central Weathersby, and the least diverse areas are in east Weathersby.
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.