Race, Diversity, and Ethnicity in Sac Bay, MI

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

Sac Bay, 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 Sac Bay overall is white, making up 81.8% of residents. The next most-common racial group is other at 9.1%. There are more white people in the central areas of the city. People who identify as other are most likely to be living in the central 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 Sac Bay
Race
Sac Bay, MI Population
White
81.8%
Hispanic
2.3%
Black
1.2%
Asian
0.1%
Native American
5.4%
Other
9.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Sac Bay, MI Population
White
81.8%
Hispanic
2.3%
Black
1.2%
Asian
0.1%
Native American
5.4%
Other
9.1%
   

Diversity and Diversity Scores for Sac Bay, MI

The map below shows diversity in Sac Bay. 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.

Sac Bay, MI map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Sac Bay Diversity Score

80

With a diversity score of 80 out of 100, Sac Bay is more diverse than other US cities. The most diverse area within Sac Bay's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Sac Bay.

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

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