The map below shows majority race by area in Rend City, 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 Rend City racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Rend City overall is white, making up 88.7% of residents. The next most-common racial group is hispanic at 9.0%. There are more white people in the southwest areas of the city. People who identify as hispanic 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 Rend City
Self-Identified Race |
Rend City, IL Population |
|---|---|
White |
88.7% |
Hispanic |
9.0% |
Black |
0.2% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.1% |
Diversity and Diversity Scores for Rend City, IL
The map below shows diversity in Rend City. 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.
Rend City Diversity Score
20.4
More diverse than 46% of US cities
Rend City has a diversity score of 20.4: 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. Rend City is about average for diversity versus other US cities, more diverse than 46% of them. Within Rend City's proper boundaries, the most diverse area is northwest Rend City, and the least diverse areas are in southwest Rend City.
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.