The map below shows majority race by area in Village of Clarkston, 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 Village of Clarkston racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Village of Clarkston overall is white, making up 89.2% of residents. The next most-common racial group is hispanic at 4.7%. There are more white people in the east areas of the city. People who identify as hispanic 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 |
Village of Clarkston, MI Population |
|---|---|
White |
89.2% |
Hispanic |
4.7% |
Black |
2.0% |
Asian |
1.5% |
Native American |
0.2% |
Other |
2.3% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Village of Clarkston, MI Population |
|---|---|
White |
89.2% |
Hispanic |
4.7% |
Black |
2.0% |
Asian |
1.5% |
Native American |
0.2% |
Other |
2.3% |
Diversity and Diversity Scores for Village of Clarkston, MI
The map below shows diversity in Village of Clarkston. 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.
Diversity Score
Diverse
Moderately diverse
No diversity
Village of Clarkston Diversity Score
55
With a diversity score of 55 out of 100, Village of Clarkston is about average for diversity versus other US cities. The most diverse area within Village of Clarkston's proper boundaries is to the northwest of the city. The least diverse areas are located in the east parts of Village of Clarkston.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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