The map below shows majority race by area in Garrison, 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 Garrison racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Garrison overall is white, making up 88.4% of residents. The next most-common racial group is other at 8.3%. There are more white people in the northeast areas of the city. People who identify as other are most likely to be living in the southeast 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 Garrison
Self-Identified Race |
Garrison, MT Population |
|---|---|
White |
88.4% |
Hispanic |
2.3% |
Black |
0.0% |
Asian |
0.9% |
Native American |
0.1% |
Other |
8.3% |
Diversity and Diversity Scores for Garrison, MT
The map below shows diversity in Garrison. 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.
Garrison Diversity Score
21.1
More diverse than 48% of US cities
Garrison has a diversity score of 21.1: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Garrison is about average for diversity versus other US cities, more diverse than 48% of them. Within Garrison's proper boundaries, the most diverse area is central Garrison, and the least diverse areas are in northeast Garrison.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.