The map below shows majority race by area in Park Hills, 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 Park Hills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Park Hills overall is white, making up 83.6% of residents. The next most-common racial group is other at 5.6%. There are more white people in the central areas of the city. People who identify as other 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 Park Hills
Self-Identified Race |
Park Hills, KY Population |
|---|---|
White |
83.6% |
Hispanic |
4.3% |
Black |
4.9% |
Asian |
1.5% |
Native American |
0.0% |
Other |
5.6% |
Diversity and Diversity Scores for Park Hills, KY
The map below shows diversity in Park Hills. 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.
Park Hills Diversity Score
29.3
More diverse than 60% of US cities
Park Hills has a diversity score of 29.3: 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. Park Hills is more diverse than other US cities, more diverse than 60% of them. Within Park Hills's proper boundaries, the most diverse area is southeast Park Hills, and the least diverse areas are in central Park Hills.
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.