Race, Diversity, and Ethnicity in Bayport, MN

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

Bayport, 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 Bayport overall is white, making up 75.6% of residents. The next most-common racial group is black at 13.3%. There are more white people in the northeast areas of the city. People who identify as black are most likely to be living in the northwest 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 Bayport
Race
Bayport, MN Population
White
75.6%
Hispanic
3.8%
Black
13.3%
Asian
1.3%
Native American
2.6%
Other
3.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Bayport, MN Population
White
75.6%
Hispanic
3.8%
Black
13.3%
Asian
1.3%
Native American
2.6%
Other
3.3%
   

Diversity and Diversity Scores for Bayport, MN

The map below shows diversity in Bayport. 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.

Bayport, MN map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Bayport Diversity Score

87

With a diversity score of 87 out of 100, Bayport is much more diverse than other US cities. The most diverse area within Bayport's proper boundaries is to the northwest of the city. The least diverse areas are located in the northeast parts of Bayport.

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

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