The map below shows majority race by area in 48759, 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 48759 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 48759 overall is white, making up 91.1% of residents. The next most-common racial group is hispanic at 5.3%. There are more white people in the southeast areas of the zip. People who identify as hispanic 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 48759
Self-Identified Race |
48759, MI Population |
|---|---|
White |
91.1% |
Hispanic |
5.3% |
Black |
0.0% |
Asian |
0.2% |
Native American |
0.3% |
Other |
3.1% |
Diversity and Diversity Scores for 48759, MI
The map below shows diversity in 48759. 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 zip would both be considered lacking diversity.
Less diverse
More diverse
Colorblind friendly
off
48759 Diversity Score
16.7
More diverse than 31% of US zip codes
48759 has a diversity score of 16.7: 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. 48759 is less diverse than other US zip codes, more diverse than 31% of them. Within 48759's proper boundaries, the most diverse area is southwest 48759, and the least diverse areas are in southeast 48759.
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.