Race, Diversity, and Ethnicity in 07502, NJ

The map below shows majority race by area in 07502, 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 07502 racial diversity and diversity scores. Click here to scroll to diversity data.

07502, NJ map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 07502 overall is hispanic, making up 51.7% of residents. The next most-common racial group is asian at 17.1%. There are more hispanic people in the southeast areas of the zip. People who identify as asian are most likely to be living in the east 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 07502
Race
07502, NJ Population
White
14.1%
Hispanic
51.7%
Black
15.9%
Asian
17.1%
Native American
0.0%
Other
1.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
07502, NJ Population
White
14.1%
Hispanic
51.7%
Black
15.9%
Asian
17.1%
Native American
0.0%
Other
1.2%
   

Diversity and Diversity Scores for 07502, NJ

The map below shows diversity in 07502. 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.

07502, NJ map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

07502 Diversity Score

94

With a diversity score of 94 out of 100, 07502 is much more diverse than other US zip codes. The most diverse area within 07502's proper boundaries is to the southwest of the zip. The least diverse areas are located in the northwest parts of 07502.

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

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