Race, Diversity, and Ethnicity in Paul Smiths, NY

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

Paul Smiths, 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 Paul Smiths overall is white, making up 90.2% of residents. The next most-common racial group is asian at 3.8%. There are more white people in the west areas of the city. People who identify as asian 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 Paul Smiths
Race
Paul Smiths, NY Population
White
90.2%
Hispanic
2.5%
Black
1.7%
Asian
3.8%
Native American
0.5%
Other
1.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Paul Smiths, NY Population
White
90.2%
Hispanic
2.5%
Black
1.7%
Asian
3.8%
Native American
0.5%
Other
1.3%
   

Diversity and Diversity Scores for Paul Smiths, NY

The map below shows diversity in Paul Smiths. 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.

Paul Smiths, NY map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Paul Smiths Diversity Score

69

With a diversity score of 69 out of 100, Paul Smiths is more diverse than other US cities. The most diverse area within Paul Smiths's proper boundaries is to the central of the city. The least diverse areas are located in the west parts of Paul Smiths.

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

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