The map below shows majority race by area in Gros Cap, 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 Gros Cap racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Gros Cap overall is white, making up 68.2% of residents. The next most-common racial group is native american at 17.5%. There are more white people in the northwest areas of the city. People who identify as native american are most likely to be living in the northwest 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 Gros Cap
Self-Identified Race |
Gros Cap, MI Population |
|---|---|
White |
68.2% |
Hispanic |
2.0% |
Black |
3.0% |
Asian |
0.0% |
Native American |
17.5% |
Other |
9.4% |
Diversity and Diversity Scores for Gros Cap, MI
The map below shows diversity in Gros Cap. 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.
Gros Cap Diversity Score
49.5
More diverse than 83% of US cities
Gros Cap has a diversity score of 49.5: 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. Gros Cap is much more diverse than other US cities, more diverse than 83% of them. Within Gros Cap's proper boundaries, the most diverse area is east Gros Cap, and the least diverse areas are in northwest Gros Cap.
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.