Race, Diversity, and Ethnicity in Waters, MI

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

Waters, MI map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Waters overall is white, making up 95.4% of residents. The next most-common racial group is other at 2.3%. 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 north 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 Waters
Race
Waters, MI Population
White
95.4%
Hispanic
0.0%
Black
0.0%
Asian
1.9%
Native American
0.4%
Other
2.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Waters, MI Population
White
95.4%
Hispanic
0.0%
Black
0.0%
Asian
1.9%
Native American
0.4%
Other
2.3%
   

Diversity and Diversity Scores for Waters, MI

The map below shows diversity in Waters. 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.

Waters, MI map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Waters Diversity Score

27

With a diversity score of 27 out of 100, Waters is less diverse than other US cities. The most diverse area within Waters's proper boundaries is to the south of the city. The least diverse areas are located in the northeast parts of Waters.

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

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