Race, Diversity, and Ethnicity in Lost Creek, MT

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

Lost Creek, 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 Lost Creek overall is white, making up 80.1% of residents. The next most-common racial group is other at 10.8%. There are more white people in the south areas of the city. People who identify as other are most likely to be living in the south 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 Lost Creek
Race
Lost Creek, MT Population
White
80.1%
Hispanic
5.5%
Black
0.0%
Asian
0.0%
Native American
3.5%
Other
10.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Lost Creek, MT Population
White
80.1%
Hispanic
5.5%
Black
0.0%
Asian
0.0%
Native American
3.5%
Other
10.8%
   

Diversity and Diversity Scores for Lost Creek, MT

The map below shows diversity in Lost Creek. 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.

Lost Creek, MT map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Lost Creek Diversity Score

83

With a diversity score of 83 out of 100, Lost Creek is much more diverse than other US cities. The most diverse area within Lost Creek's proper boundaries is to the south of the city. The least diverse areas are located in the south parts of Lost Creek.

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

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