Race, Diversity, and Ethnicity in Searsmont, ME

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

Searsmont, ME 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 Searsmont overall is white, making up 97.0% of residents. The next most-common racial group is other at 1.0%. 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 southwest 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 Searsmont
Race
Searsmont, ME Population
White
97.0%
Hispanic
0.3%
Black
0.9%
Asian
0.7%
Native American
0.0%
Other
1.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Searsmont, ME Population
White
97.0%
Hispanic
0.3%
Black
0.9%
Asian
0.7%
Native American
0.0%
Other
1.0%
   

Diversity and Diversity Scores for Searsmont, ME

The map below shows diversity in Searsmont. 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.

Searsmont, ME map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Searsmont Diversity Score

27

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

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

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