Race, Diversity, and Ethnicity in Ford River, MI

The map below shows majority race by area in Ford River, 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 Ford River racial diversity and diversity scores. Click here to scroll to diversity data.

Ford River, MI map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Ford River overall is white, making up 95.4% of residents. The next most-common racial group is other at 2.6%. There are more white people in the north areas of the city. People who identify as other are most likely to be living in the east 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 Ford River
Race
Ford River, MI Population
White
95.4%
Hispanic
0.4%
Black
0.0%
Asian
0.2%
Native American
1.4%
Other
2.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Ford River, MI Population
White
95.4%
Hispanic
0.4%
Black
0.0%
Asian
0.2%
Native American
1.4%
Other
2.6%
   

Diversity and Diversity Scores for Ford River, MI

The map below shows diversity in Ford River. 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.

Ford River, MI map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Ford River Diversity Score

30

With a diversity score of 30 out of 100, Ford River is less diverse than other US cities. The most diverse area within Ford River's proper boundaries is to the southwest of the city. The least diverse areas are located in the north parts of Ford River.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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