The map below shows majority race by area in Grosse Ile, 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 Grosse Ile racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Grosse Ile overall is white, making up 88.7% of residents. The next most-common racial group is other at 4.5%. There are more white people in the southeast areas of the city. People who identify as other are most likely to be living in the west 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 Grosse Ile
Self-Identified Race |
Grosse Ile, MI Population |
|---|---|
White |
88.7% |
Hispanic |
3.3% |
Black |
1.5% |
Asian |
1.7% |
Native American |
0.3% |
Other |
4.5% |
Diversity and Diversity Scores for Grosse Ile, MI
The map below shows diversity in Grosse Ile. 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.
Grosse Ile Diversity Score
21.0
More diverse than 47% of US cities
Grosse Ile has a diversity score of 21.0: 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. Grosse Ile is about average for diversity versus other US cities, more diverse than 47% of them. Within Grosse Ile's proper boundaries, the most diverse area is central Grosse Ile, and the least diverse areas are in southeast Grosse Ile.
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.