The map below shows majority race by area in Zarephath, 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 Zarephath racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Zarephath overall is black, making up 35.3% of residents. The next most-common racial group is asian at 27.5%. There are more black people in the central areas of the city. People who identify as asian 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 Zarephath
Self-Identified Race |
Zarephath, NJ Population |
|---|---|
White |
14.1% |
Hispanic |
13.5% |
Black |
35.3% |
Asian |
27.5% |
Native American |
0.0% |
Other |
9.7% |
Diversity and Diversity Scores for Zarephath, NJ
The map below shows diversity in Zarephath. 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.
Zarephath Diversity Score
75.2
More diverse than 100% of US cities
Zarephath has a diversity score of 75.2: 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. Zarephath is much more diverse than other US cities, more diverse than 100% of them. Within Zarephath's proper boundaries, the most diverse area is northeast Zarephath, and the least diverse areas are in central Zarephath.
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.