The map below shows majority race by area in Shelby Gap, 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 Shelby Gap racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Shelby Gap overall is white, making up 91.1% of residents. The next most-common racial group is other at 8.9%. There are more white people in the southwest areas of the city. People who identify as other are most likely to be living in the central 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 Shelby Gap
Self-Identified Race |
Shelby Gap, KY Population |
|---|---|
White |
91.1% |
Hispanic |
0.0% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
8.9% |
Diversity and Diversity Scores for Shelby Gap, KY
The map below shows diversity in Shelby Gap. 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.
Shelby Gap Diversity Score
16.2
More diverse than 37% of US cities
Shelby Gap has a diversity score of 16.2: 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. Shelby Gap is less diverse than other US cities, more diverse than 37% of them. Within Shelby Gap's proper boundaries, the most diverse area is central Shelby Gap, and the least diverse areas are in southwest Shelby Gap.
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.