The map below shows majority race by area in Oak Level, 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 Oak Level racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Oak Level overall is white, making up 94.1% of residents. The next most-common racial group is hispanic at 2.2%. There are more white people in the southwest areas of the city. People who identify as hispanic 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 Oak Level
Self-Identified Race |
Oak Level, KY Population |
|---|---|
White |
94.1% |
Hispanic |
2.2% |
Black |
1.6% |
Asian |
0.8% |
Native American |
0.0% |
Other |
1.2% |
Diversity and Diversity Scores for Oak Level, KY
The map below shows diversity in Oak Level. 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.
Oak Level Diversity Score
11.3
More diverse than 23% of US cities
Oak Level has a diversity score of 11.3: 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. Oak Level is less diverse than other US cities, more diverse than 23% of them. Within Oak Level's proper boundaries, the most diverse area is central Oak Level, and the least diverse areas are in southwest Oak Level.
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.