Race, Diversity, and Ethnicity in Glen Rock, NJ

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

Glen Rock, NJ 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 Rock overall is white, making up 75.5% of residents. The next most-common racial group is asian at 12.5%. There are more white people in the northeast areas of the city. People who identify as asian are most likely to be living in the south 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 Rock
Race
Glen Rock, NJ Population
White
75.5%
Hispanic
5.0%
Black
2.2%
Asian
12.5%
Native American
0.1%
Other
4.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Glen Rock, NJ Population
White
75.5%
Hispanic
5.0%
Black
2.2%
Asian
12.5%
Native American
0.1%
Other
4.7%
   

Diversity and Diversity Scores for Glen Rock, NJ

The map below shows diversity in Glen Rock. 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 Rock, NJ map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Glen Rock Diversity Score

88

With a diversity score of 88 out of 100, Glen Rock is much more diverse than other US cities. The most diverse area within Glen Rock's proper boundaries is to the south of the city. The least diverse areas are located in the northeast parts of Glen Rock.

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

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