Race, Diversity, and Ethnicity in Schuyler, VA

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

Schuyler, VA 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 Schuyler overall is white, making up 82.2% of residents. The next most-common racial group is black at 11.3%. There are more white people in the northwest areas of the city. People who identify as black are most likely to be living in the east 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 Schuyler
Race
Schuyler, VA Population
White
82.2%
Hispanic
4.7%
Black
11.3%
Asian
0.1%
Native American
0.0%
Other
1.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Schuyler, VA Population
White
82.2%
Hispanic
4.7%
Black
11.3%
Asian
0.1%
Native American
0.0%
Other
1.7%
   

Diversity and Diversity Scores for Schuyler, VA

The map below shows diversity in Schuyler. 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.

Schuyler, VA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Schuyler Diversity Score

60

With a diversity score of 60 out of 100, Schuyler is more diverse than other US cities. The most diverse area within Schuyler's proper boundaries is to the east of the city. The least diverse areas are located in the northwest parts of Schuyler.

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

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