Race, Diversity, and Ethnicity in Pleasant Acres, New Milford, NJ

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

Pleasant Acres, New Milford, 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 Pleasant Acres overall is white, making up 58.4% of residents. The next most-common racial group is hispanic at 19.8%. There are more white people in the southwest areas of the neighborhood. 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 Pleasant Acres

 
Self-Identified Race
Pleasant Acres, New Milford, NJ Population
White
58.4%
Hispanic
19.8%
Black
2.6%
Asian
16.2%
Native American
0.0%
Other
3.0%
   

Diversity and Diversity Scores for Pleasant Acres, New Milford, NJ

The map below shows diversity in Pleasant Acres. 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 neighborhood would both be considered lacking diversity.

Pleasant Acres, New Milford, NJ map of race and ethnicity
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More diverse Less diverse
Colorblind friendly off

Pleasant Acres Diversity Score

70

With a diversity score of 70 out of 100, Pleasant Acres is more diverse than other US neighborhoods. The most diverse area within Pleasant Acres's proper boundaries is to the central of the neighborhood. The least diverse areas are located in the southwest parts of Pleasant Acres.

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

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