The map below shows majority race by area in Mount Royal, 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 Mount Royal racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Mount Royal overall is white, making up 82.4% of residents. The next most-common racial group is hispanic at 6.5%. There are more white people in the central areas of the city. 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 Mount Royal
Self-Identified Race |
Mount Royal, NJ Population |
|---|---|
White |
82.4% |
Hispanic |
6.5% |
Black |
5.9% |
Asian |
1.0% |
Native American |
0.0% |
Other |
4.2% |
Diversity and Diversity Scores for Mount Royal, NJ
The map below shows diversity in Mount Royal. 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.
Mount Royal Diversity Score
31.2
More diverse than 63% of US cities
Mount Royal has a diversity score of 31.2: 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. Mount Royal is more diverse than other US cities, more diverse than 63% of them. Within Mount Royal's proper boundaries, the most diverse area is southeast Mount Royal, and the least diverse areas are in central Mount Royal.
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.