Race, Diversity, and Ethnicity in Viola, Monsey, NY

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

Viola, Monsey, NY 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 Viola overall is white, making up 93.7% of residents. The next most-common racial group is hispanic at 1.9%. There are more white people in the northwest areas of the neighborhood. People who identify as hispanic are most likely to be living in the southeast 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 Viola
Race
Viola, Monsey, NY Population
White
93.7%
Hispanic
1.9%
Black
0.9%
Asian
1.4%
Native American
0.3%
Other
1.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Viola, Monsey, NY Population
White
93.7%
Hispanic
1.9%
Black
0.9%
Asian
1.4%
Native American
0.3%
Other
1.8%
   

Diversity and Diversity Scores for Viola, Monsey, NY

The map below shows diversity in Viola. 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 neighborhood would both be considered lacking diversity.

Viola, Monsey, NY map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Viola Diversity Score

8

With a diversity score of 8 out of 100, Viola is much less diverse than other US neighborhoods. The most diverse area within Viola's proper boundaries is to the southwest of the neighborhood. The least diverse areas are located in the northeast parts of Viola.

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

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