Race, Diversity, and Ethnicity in Rush River, MN

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

Rush River, MN 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 Rush River overall is white, making up 94.4% of residents. The next most-common racial group is black at 2.3%. There are more white people in the west areas of the city. People who identify as black are most likely to be living in the east 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 Rush River
Race
Rush River, MN Population
White
94.4%
Hispanic
1.2%
Black
2.3%
Asian
0.1%
Native American
0.5%
Other
1.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Rush River, MN Population
White
94.4%
Hispanic
1.2%
Black
2.3%
Asian
0.1%
Native American
0.5%
Other
1.4%
   

Diversity and Diversity Scores for Rush River, MN

The map below shows diversity in Rush River. 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.

Rush River, MN map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Rush River Diversity Score

37

With a diversity score of 37 out of 100, Rush River is less diverse than other US cities. The most diverse area within Rush River's proper boundaries is to the south of the city. The least diverse areas are located in the west parts of Rush River.

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

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