The map below shows majority race by area in Forest 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 Forest Hills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Forest Hills overall is white, making up 91.5% of residents. The next most-common racial group is hispanic at 6.0%. There are more white people in the east areas of the city. People who identify as hispanic 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 Forest Hills
Self-Identified Race |
Forest Hills, NC Population |
|---|---|
White |
91.5% |
Hispanic |
6.0% |
Black |
0.4% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.2% |
Diversity and Diversity Scores for Forest Hills, NC
The map below shows diversity in Forest 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.
Forest Hills Diversity Score
15.9
More diverse than 36% of US cities
Forest Hills has a diversity score of 15.9: 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. Forest Hills is less diverse than other US cities, more diverse than 36% of them. Within Forest Hills's proper boundaries, the most diverse area is north Forest Hills, and the least diverse areas are in east Forest 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.