The map below shows majority race by area in Red 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 Red Fork racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Red Fork overall is white, making up 87.6% of residents. The next most-common racial group is black at 11.6%. There are more white people in the northeast areas of the city. People who identify as black 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 Red Fork
Self-Identified Race |
Red Fork, AR Population |
|---|---|
White |
87.6% |
Hispanic |
0.0% |
Black |
11.6% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.8% |
Diversity and Diversity Scores for Red Fork, AR
The map below shows diversity in Red 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.
Red Fork Diversity Score
21.9
More diverse than 49% of US cities
Red Fork has a diversity score of 21.9: 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. Red Fork is about average for diversity versus other US cities, more diverse than 49% of them. Within Red Fork's proper boundaries, the most diverse area is southeast Red Fork, and the least diverse areas are in northeast Red 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.