The map below shows majority race by area in Port Murray, 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 Port Murray racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Port Murray overall is white, making up 76.3% of residents. The next most-common racial group is hispanic at 13.9%. There are more white people in the north areas of the city. People who identify as hispanic are most likely to be living in the southwest 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 Port Murray
Self-Identified Race |
Port Murray, NJ Population |
|---|---|
White |
76.3% |
Hispanic |
13.9% |
Black |
1.7% |
Asian |
1.1% |
Native American |
0.0% |
Other |
7.0% |
Diversity and Diversity Scores for Port Murray, NJ
The map below shows diversity in Port Murray. 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.
Port Murray Diversity Score
39.3
More diverse than 72% of US cities
Port Murray has a diversity score of 39.3: 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. Port Murray is more diverse than other US cities, more diverse than 72% of them. Within Port Murray's proper boundaries, the most diverse area is southwest Port Murray, and the least diverse areas are in north Port Murray.
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.