The map below shows majority race by area in Parsippany, 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 Parsippany racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Parsippany overall is asian, making up 44.3% of residents. The next most-common racial group is white at 40.1%. There are more asian people in the east areas of the city. People who identify as white are most likely to be living in the southeast 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 Parsippany
Self-Identified Race |
Parsippany, NJ Population |
|---|---|
White |
40.1% |
Hispanic |
9.0% |
Black |
3.6% |
Asian |
44.3% |
Native American |
0.0% |
Other |
3.0% |
Diversity and Diversity Scores for Parsippany, NJ
The map below shows diversity in Parsippany. 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.
Parsippany Diversity Score
63.3
More diverse than 96% of US cities
Parsippany has a diversity score of 63.3: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Parsippany is much more diverse than other US cities, more diverse than 96% of them. Within Parsippany's proper boundaries, the most diverse area is north Parsippany, and the least diverse areas are in east Parsippany.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.