Race, Diversity, and Ethnicity in Red Mills, NY

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

Red Mills, 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 Red Mills overall is white, making up 96.5% of residents. The next most-common racial group is hispanic at 1.8%. There are more white people in the central areas of the city. People who identify as hispanic 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 Red Mills
Race
Red Mills, NY Population
White
96.5%
Hispanic
1.8%
Black
0.0%
Asian
0.0%
Native American
0.2%
Other
1.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Red Mills, NY Population
White
96.5%
Hispanic
1.8%
Black
0.0%
Asian
0.0%
Native American
0.2%
Other
1.5%
   

Diversity and Diversity Scores for Red Mills, NY

The map below shows diversity in Red Mills. 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.

Red Mills, NY map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Red Mills Diversity Score

22

With a diversity score of 22 out of 100, Red Mills is less diverse than other US cities. The most diverse area within Red Mills's proper boundaries is to the southwest of the city. The least diverse areas are located in the central parts of Red Mills.

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

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