The map below shows majority race by area in Jersey City, 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 Jersey City racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Jersey City overall is asian, making up 27.6% of residents. The next most-common racial group is white at 24.5%. There are more asian people in the north 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 Jersey City
Self-Identified Race |
Jersey City, NJ Population |
|---|---|
White |
24.5% |
Hispanic |
24.4% |
Black |
18.3% |
Asian |
27.6% |
Native American |
0.2% |
Other |
4.9% |
Diversity and Diversity Scores for Jersey City, NJ
The map below shows diversity in Jersey City. 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.
Jersey City Diversity Score
76.8
More diverse than 100% of US cities
Jersey City has a diversity score of 76.8: 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. Jersey City is much more diverse than other US cities, more diverse than 100% of them. Within Jersey City's proper boundaries, the most diverse area is west Jersey City, and the least diverse areas are in southeast Jersey City.
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.