The map below shows majority race by area in Michigan, 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 Michigan racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Michigan overall is white, making up 92.4% of residents. The next most-common racial group is other at 3.1%. There are more white people in the southwest areas of the city. People who identify as other are most likely to be living in the northeast 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 Michigan
Self-Identified Race |
Michigan, ND Population |
|---|---|
White |
92.4% |
Hispanic |
2.6% |
Black |
0.0% |
Asian |
0.9% |
Native American |
1.0% |
Other |
3.1% |
Diversity and Diversity Scores for Michigan, ND
The map below shows diversity in Michigan. 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.
Michigan Diversity Score
14.4
More diverse than 32% of US cities
Michigan has a diversity score of 14.4: 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. Michigan is less diverse than other US cities, more diverse than 32% of them. Within Michigan's proper boundaries, the most diverse area is northeast Michigan, and the least diverse areas are in southwest Michigan.
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.