The map below shows majority race by area in Forest View, 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 View racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Forest View overall is hispanic, making up 57.2% of residents. The next most-common racial group is white at 42.5%. There are more hispanic people in the east areas of the city. People who identify as white are most likely to be living in the central 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 View
Self-Identified Race |
Forest View, IL Population |
|---|---|
White |
42.5% |
Hispanic |
57.2% |
Black |
0.2% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.2% |
Diversity and Diversity Scores for Forest View, IL
The map below shows diversity in Forest View. 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 View Diversity Score
49.3
More diverse than 83% of US cities
Forest View has a diversity score of 49.3: 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. Forest View is much more diverse than other US cities, more diverse than 83% of them. Within Forest View's proper boundaries, the most diverse area is central Forest View, and the least diverse areas are in east Forest View.
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.