Race, Diversity, and Ethnicity in Mud Mills, NY

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

Mud 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 Mud Mills overall is white, making up 86.4% of residents. The next most-common racial group is hispanic at 9.3%. 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 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 Mud Mills
Race
Mud Mills, NY Population
White
86.4%
Hispanic
9.3%
Black
1.9%
Asian
0.9%
Native American
0.0%
Other
1.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Mud Mills, NY Population
White
86.4%
Hispanic
9.3%
Black
1.9%
Asian
0.9%
Native American
0.0%
Other
1.6%
   

Diversity and Diversity Scores for Mud Mills, NY

The map below shows diversity in Mud 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.

Mud Mills, NY map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Mud Mills Diversity Score

64

With a diversity score of 64 out of 100, Mud Mills is more diverse than other US cities. The most diverse area within Mud Mills's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Mud Mills.

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

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