Race, Diversity, and Ethnicity in Glen Oaks, NY

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

Glen Oaks, 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 Glen Oaks overall is white, making up 47.6% of residents. The next most-common racial group is asian at 39.5%. There are more white people in the central areas of the city. People who identify as asian 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 Glen Oaks
Race
Glen Oaks, NY Population
White
47.6%
Hispanic
3.6%
Black
9.3%
Asian
39.5%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Glen Oaks, NY Population
White
47.6%
Hispanic
3.6%
Black
9.3%
Asian
39.5%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Glen Oaks, NY

The map below shows diversity in Glen Oaks. 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.

Glen Oaks, NY map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Glen Oaks Diversity Score

96

With a diversity score of 96 out of 100, Glen Oaks is much more diverse than other US cities. The most diverse area within Glen Oaks's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Glen Oaks.

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

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