The map below shows majority race by area in Royal Lakes, 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 Royal Lakes racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Royal Lakes overall is white, making up 60.6% of residents. The next most-common racial group is black at 38.9%. There are more white people in the northeast 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 Royal Lakes
Self-Identified Race |
Royal Lakes, IL Population |
|---|---|
White |
60.6% |
Hispanic |
0.0% |
Black |
38.9% |
Asian |
0.3% |
Native American |
0.0% |
Other |
0.2% |
Diversity and Diversity Scores for Royal Lakes, IL
The map below shows diversity in Royal Lakes. 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.
Royal Lakes Diversity Score
48.2
More diverse than 81% of US cities
Royal Lakes has a diversity score of 48.2: 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. Royal Lakes is much more diverse than other US cities, more diverse than 81% of them. Within Royal Lakes's proper boundaries, the most diverse area is central Royal Lakes, and the least diverse areas are in northeast Royal Lakes.
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.