The map below shows majority race by area in Park Forest, 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 Park Forest racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Park Forest overall is black, making up 64.7% of residents. The next most-common racial group is white at 21.6%. There are more black people in the north areas of the city. People who identify as white 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 Park Forest
Self-Identified Race |
Park Forest, IL Population |
|---|---|
White |
21.6% |
Hispanic |
10.2% |
Black |
64.7% |
Asian |
0.3% |
Native American |
0.1% |
Other |
3.1% |
Diversity and Diversity Scores for Park Forest, IL
The map below shows diversity in Park Forest. 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.
Park Forest Diversity Score
52.3
More diverse than 86% of US cities
Park Forest has a diversity score of 52.3: 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. Park Forest is much more diverse than other US cities, more diverse than 86% of them. Within Park Forest's proper boundaries, the most diverse area is south Park Forest, and the least diverse areas are in north Park Forest.
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.