The map below shows majority race by area in Indian Hill, 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 Indian Hill racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Indian Hill overall is white, making up 80.1% of residents. The next most-common racial group is black at 8.5%. There are more white people in the east areas of the city. People who identify as black are most likely to be living in the southwest 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 Indian Hill
Self-Identified Race |
Indian Hill, OH Population |
|---|---|
White |
80.1% |
Hispanic |
2.0% |
Black |
8.5% |
Asian |
6.2% |
Native American |
0.3% |
Other |
2.8% |
Diversity and Diversity Scores for Indian Hill, OH
The map below shows diversity in Indian Hill. 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.
Indian Hill Diversity Score
34.6
More diverse than 67% of US cities
Indian Hill has a diversity score of 34.6: 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. Indian Hill is more diverse than other US cities, more diverse than 67% of them. Within Indian Hill's proper boundaries, the most diverse area is northeast Indian Hill, and the least diverse areas are in east Indian Hill.
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.