Race, Diversity, and Ethnicity in 11717, NY

The map below shows majority race by area in 11717, 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 11717 racial diversity and diversity scores. Click here to scroll to diversity data.

11717, 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 11717 overall is hispanic, making up 68.3% of residents. The next most-common racial group is white at 14.2%. There are more hispanic people in the southwest areas of the zip. People who identify as white are most likely to be living in the northwest 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 11717
Race
11717, NY Population
White
14.2%
Hispanic
68.3%
Black
13.1%
Asian
2.1%
Native American
0.1%
Other
2.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
11717, NY Population
White
14.2%
Hispanic
68.3%
Black
13.1%
Asian
2.1%
Native American
0.1%
Other
2.2%
   

Diversity and Diversity Scores for 11717, NY

The map below shows diversity in 11717. 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 zip would both be considered lacking diversity.

11717, NY map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

11717 Diversity Score

80

With a diversity score of 80 out of 100, 11717 is much more diverse than other US zip codes. The most diverse area within 11717's proper boundaries is to the northwest of the zip. The least diverse areas are located in the southwest parts of 11717.

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

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