The map below shows majority race by area in Sand 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 Sand Creek racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Sand Creek overall is white, making up 89.9% of residents. The next most-common racial group is hispanic at 6.5%. There are more white people in the north areas of the city. People who identify as hispanic are most likely to be living in the east 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 Sand Creek
Self-Identified Race |
Sand Creek, MI Population |
|---|---|
White |
89.9% |
Hispanic |
6.5% |
Black |
0.2% |
Asian |
0.0% |
Native American |
0.0% |
Other |
3.4% |
Diversity and Diversity Scores for Sand Creek, MI
The map below shows diversity in Sand 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.
Sand Creek Diversity Score
18.6
More diverse than 42% of US cities
Sand Creek has a diversity score of 18.6: 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. Sand Creek is about average for diversity versus other US cities, more diverse than 42% of them. Within Sand Creek's proper boundaries, the most diverse area is south Sand Creek, and the least diverse areas are in north Sand Creek.
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.