Race, Diversity, and Ethnicity in Hillside, IL

The map below shows majority race by area in Hillside, 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 Hillside racial diversity and diversity scores. Click here to scroll to diversity data.

Hillside, IL map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Hillside overall is hispanic, making up 38.5% of residents. The next most-common racial group is black at 36.9%. There are more hispanic people in the northeast areas of the city. People who identify as black 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 Hillside
Race
Hillside, IL Population
White
21.5%
Hispanic
38.5%
Black
36.9%
Asian
2.8%
Native American
0.0%
Other
0.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Hillside, IL Population
White
21.5%
Hispanic
38.5%
Black
36.9%
Asian
2.8%
Native American
0.0%
Other
0.2%
   

Diversity and Diversity Scores for Hillside, IL

The map below shows diversity in Hillside. 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.

Hillside, IL map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Hillside Diversity Score

95

With a diversity score of 95 out of 100, Hillside is much more diverse than other US cities. The most diverse area within Hillside's proper boundaries is to the east of the city. The least diverse areas are located in the southeast parts of Hillside.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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