The map below shows majority race by area in Coon Rapids, 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 Coon Rapids racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Coon Rapids overall is white, making up 70.8% of residents. The next most-common racial group is black at 9.9%. There are more white people in the east areas of the city. People who identify as black 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 Coon Rapids
Self-Identified Race |
Coon Rapids, MN Population |
|---|---|
White |
70.8% |
Hispanic |
5.7% |
Black |
9.9% |
Asian |
7.2% |
Native American |
0.5% |
Other |
5.9% |
Diversity and Diversity Scores for Coon Rapids, MN
The map below shows diversity in Coon Rapids. 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.
Coon Rapids Diversity Score
47.7
More diverse than 81% of US cities
Coon Rapids has a diversity score of 47.7: 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. Coon Rapids is much more diverse than other US cities, more diverse than 81% of them. Within Coon Rapids's proper boundaries, the most diverse area is central Coon Rapids, and the least diverse areas are in east Coon Rapids.
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.