The map below shows majority race by area in Kitty 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 Kitty Fork racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Kitty Fork overall is white, making up 51.3% of residents. The next most-common racial group is black at 21.1%. There are more white people in the central areas of the city. People who identify as black 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 Kitty Fork
Self-Identified Race |
Kitty Fork, NC Population |
|---|---|
White |
51.3% |
Hispanic |
16.3% |
Black |
21.1% |
Asian |
0.0% |
Native American |
8.4% |
Other |
2.9% |
Diversity and Diversity Scores for Kitty Fork, NC
The map below shows diversity in Kitty 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.
Kitty Fork Diversity Score
65.8
More diverse than 98% of US cities
Kitty Fork has a diversity score of 65.8: 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. Kitty Fork is much more diverse than other US cities, more diverse than 98% of them. Within Kitty Fork's proper boundaries, the most diverse area is southeast Kitty Fork, and the least diverse areas are in central Kitty 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.