Race, Diversity, and Ethnicity in Cove Neck, NY

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

Cove Neck, 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 Cove Neck overall is white, making up 86.0% of residents. The next most-common racial group is hispanic at 7.7%. 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 Cove Neck
Race
Cove Neck, NY Population
White
86.0%
Hispanic
7.7%
Black
3.3%
Asian
2.4%
Native American
0.0%
Other
0.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Cove Neck, NY Population
White
86.0%
Hispanic
7.7%
Black
3.3%
Asian
2.4%
Native American
0.0%
Other
0.6%
   

Diversity and Diversity Scores for Cove Neck, NY

The map below shows diversity in Cove Neck. 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.

Cove Neck, NY map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Cove Neck Diversity Score

69

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

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

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