Race, Diversity, and Ethnicity in New Lyme, OH

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

New Lyme, OH 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 New Lyme overall is white, making up 93.9% of residents. The next most-common racial group is hispanic at 2.6%. There are more white people in the west 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 in New Lyme
Race
New Lyme, OH Population
White
93.9%
Hispanic
2.6%
Black
0.9%
Asian
0.6%
Native American
0.3%
Other
1.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
New Lyme, OH Population
White
93.9%
Hispanic
2.6%
Black
0.9%
Asian
0.6%
Native American
0.3%
Other
1.6%
   

Diversity and Diversity Scores for New Lyme, OH

The map below shows diversity in New Lyme. 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.

New Lyme, OH map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

New Lyme Diversity Score

33

With a diversity score of 33 out of 100, New Lyme is less diverse than other US cities. The most diverse area within New Lyme's proper boundaries is to the south of the city. The least diverse areas are located in the west parts of New Lyme.

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

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