The map below shows majority race by area in River Rouge, 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 River Rouge racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in River Rouge overall is black, making up 47.9% of residents. The next most-common racial group is white at 29.7%. There are more black people in the northwest areas of the city. People who identify as white are most likely to be living in the central 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 River Rouge
Self-Identified Race |
River Rouge, MI Population |
|---|---|
White |
29.7% |
Hispanic |
16.8% |
Black |
47.9% |
Asian |
0.0% |
Native American |
0.0% |
Other |
5.7% |
Diversity and Diversity Scores for River Rouge, MI
The map below shows diversity in River Rouge. 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.
River Rouge Diversity Score
65.1
More diverse than 97% of US cities
River Rouge has a diversity score of 65.1: 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. River Rouge is much more diverse than other US cities, more diverse than 97% of them. Within River Rouge's proper boundaries, the most diverse area is south River Rouge, and the least diverse areas are in northwest River Rouge.
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.