The map below shows majority race by area in 90732, 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 90732 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 90732 overall is white, making up 48.5% of residents. The next most-common racial group is hispanic at 31.3%. There are more white people in the south areas of the zip. People who identify as hispanic are most likely to be living in the northwest 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 90732
Self-Identified Race |
90732, CA Population |
|---|---|
White |
48.5% |
Hispanic |
31.3% |
Black |
4.0% |
Asian |
9.8% |
Native American |
0.1% |
Other |
6.3% |
Diversity and Diversity Scores for 90732, CA
The map below shows diversity in 90732. 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 zip would both be considered lacking diversity.
Less diverse
More diverse
Colorblind friendly
off
90732 Diversity Score
65.1
More diverse than 94% of US zip codes
90732 has a diversity score of 65.1: 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. 90732 is much more diverse than other US zip codes, more diverse than 94% of them. Within 90732's proper boundaries, the most diverse area is northeast 90732, and the least diverse areas are in south 90732.
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.