Race, Diversity, and Ethnicity in Max, MN

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

Max, MN map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Max overall is white, making up 72.8% of residents. The next most-common racial group is native american at 23.7%. There are more white people in the northeast 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 Max
Race
Max, MN Population
White
72.8%
Hispanic
0.4%
Black
0.1%
Asian
0.1%
Native American
23.7%
Other
3.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Max, MN Population
White
72.8%
Hispanic
0.4%
Black
0.1%
Asian
0.1%
Native American
23.7%
Other
3.0%
   

Diversity and Diversity Scores for Max, MN

The map below shows diversity in Max. 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.

Max, MN map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Max Diversity Score

70

With a diversity score of 70 out of 100, Max is more diverse than other US cities. The most diverse area within Max's proper boundaries is to the central of the city. The least diverse areas are located in the northeast parts of Max.

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

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