Race, Diversity, and Ethnicity in Summit, MT

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

Summit, MT 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 Summit overall is white, making up 70.6% of residents. The next most-common racial group is native american at 27.8%. There are more white people in the southwest areas of the city. People who identify as native american are most likely to be living in the northeast 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 Summit
Race
Summit, MT Population
White
70.6%
Hispanic
0.1%
Black
0.0%
Asian
0.0%
Native American
27.8%
Other
1.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Summit, MT Population
White
70.6%
Hispanic
0.1%
Black
0.0%
Asian
0.0%
Native American
27.8%
Other
1.5%
   

Diversity and Diversity Scores for Summit, MT

The map below shows diversity in Summit. 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.

Summit, MT map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Summit Diversity Score

39

With a diversity score of 39 out of 100, Summit is less diverse than other US cities. The most diverse area within Summit's proper boundaries is to the northeast of the city. The least diverse areas are located in the southwest parts of Summit.

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

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