Race, Diversity, and Ethnicity in Fort Shaw, MT

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

Fort Shaw, 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 Fort Shaw overall is white, making up 93.2% of residents. The next most-common racial group is hispanic at 4.3%. There are more white people in the west areas of the city. People who identify as hispanic 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 Fort Shaw
Race
Fort Shaw, MT Population
White
93.2%
Hispanic
4.3%
Black
0.1%
Asian
0.0%
Native American
0.5%
Other
1.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Fort Shaw, MT Population
White
93.2%
Hispanic
4.3%
Black
0.1%
Asian
0.0%
Native American
0.5%
Other
1.9%
   

Diversity and Diversity Scores for Fort Shaw, MT

The map below shows diversity in Fort Shaw. 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.

Fort Shaw, MT map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Fort Shaw Diversity Score

34

With a diversity score of 34 out of 100, Fort Shaw is less diverse than other US cities. The most diverse area within Fort Shaw's proper boundaries is to the northeast of the city. The least diverse areas are located in the central parts of Fort Shaw.

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

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