The map below shows majority race by area in Glenview Nas, 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 Glenview Nas racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Glenview Nas overall is white, making up 57.8% of residents. The next most-common racial group is asian at 28.2%. There are more white people in the south areas of the city. People who identify as asian are most likely to be living in the west 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 Glenview Nas
Self-Identified Race |
Glenview Nas, IL Population |
|---|---|
White |
57.8% |
Hispanic |
5.2% |
Black |
2.3% |
Asian |
28.2% |
Native American |
0.0% |
Other |
6.5% |
Diversity and Diversity Scores for Glenview Nas, IL
The map below shows diversity in Glenview Nas. 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.
Glenview Nas Diversity Score
57.9
More diverse than 92% of US cities
Glenview Nas has a diversity score of 57.9: 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. Glenview Nas is much more diverse than other US cities, more diverse than 92% of them. Within Glenview Nas's proper boundaries, the most diverse area is west Glenview Nas, and the least diverse areas are in south Glenview Nas.
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.