Race, Diversity, and Ethnicity in Brassar, MI

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

Brassar, 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 Brassar overall is white, making up 66.7% of residents. The next most-common racial group is native american at 23.2%. There are more white people in the central areas of the city. People who identify as native american 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 Brassar
Race
Brassar, MI Population
White
66.7%
Hispanic
1.3%
Black
0.0%
Asian
0.2%
Native American
23.2%
Other
8.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Brassar, MI Population
White
66.7%
Hispanic
1.3%
Black
0.0%
Asian
0.2%
Native American
23.2%
Other
8.7%
   

Diversity and Diversity Scores for Brassar, MI

The map below shows diversity in Brassar. 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.

Brassar, MI map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Brassar Diversity Score

87

With a diversity score of 87 out of 100, Brassar is much more diverse than other US cities. The most diverse area within Brassar's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Brassar.

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

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