The map below shows majority race by area in Rolling Fork, 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 Rolling Fork racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Rolling Fork overall is black, making up 78.9% of residents. The next most-common racial group is white at 20.7%. 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 northwest 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 Rolling Fork
Self-Identified Race |
Rolling Fork, MS Population |
|---|---|
White |
20.7% |
Hispanic |
0.1% |
Black |
78.9% |
Asian |
0.2% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Rolling Fork, MS
The map below shows diversity in Rolling Fork. 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.
Rolling Fork Diversity Score
33.5
More diverse than 66% of US cities
Rolling Fork has a diversity score of 33.5: 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. Rolling Fork is more diverse than other US cities, more diverse than 66% of them. Within Rolling Fork's proper boundaries, the most diverse area is northwest Rolling Fork, and the least diverse areas are in east Rolling Fork.
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.