The map below shows majority race by area in Orland 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 Orland Hills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Orland Hills overall is white, making up 73.5% of residents. The next most-common racial group is hispanic at 12.2%. 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 northwest 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 Orland Hills
Self-Identified Race |
Orland Hills, IL Population |
|---|---|
White |
73.5% |
Hispanic |
12.2% |
Black |
8.3% |
Asian |
3.4% |
Native American |
0.0% |
Other |
2.6% |
Diversity and Diversity Scores for Orland Hills, IL
The map below shows diversity in Orland 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.
Orland Hills Diversity Score
43.7
More diverse than 77% of US cities
Orland Hills has a diversity score of 43.7: 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. Orland Hills is more diverse than other US cities, more diverse than 77% of them. Within Orland Hills's proper boundaries, the most diverse area is northwest Orland Hills, and the least diverse areas are in east Orland 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.