The map below shows majority race by area in Cherry Creek, 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 Cherry Creek racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Cherry Creek overall is native american, making up 74.2% of residents. The next most-common racial group is white at 22.5%. There are more native american people in the central areas of the city. People who identify as white are most likely to be living in the north 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 Cherry Creek
Self-Identified Race |
Cherry Creek, SD Population |
|---|---|
White |
22.5% |
Hispanic |
1.8% |
Black |
0.0% |
Asian |
0.0% |
Native American |
74.2% |
Other |
1.6% |
Diversity and Diversity Scores for Cherry Creek, SD
The map below shows diversity in Cherry Creek. 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.
Less diverse
More diverse
Colorblind friendly
off
Cherry Creek Diversity Score
39.8
More diverse than 73% of US cities
Cherry Creek has a diversity score of 39.8: 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. Cherry Creek is more diverse than other US cities, more diverse than 73% of them.
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.