The map below shows majority race by area in 91732, 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 91732 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 91732 overall is hispanic, making up 66.9% of residents. The next most-common racial group is asian at 27.3%. There are more hispanic people in the southwest areas of the zip. People who identify as asian 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 91732
Self-Identified Race |
91732, CA Population |
|---|---|
White |
3.4% |
Hispanic |
66.9% |
Black |
0.5% |
Asian |
27.3% |
Native American |
0.2% |
Other |
1.6% |
Diversity and Diversity Scores for 91732, CA
The map below shows diversity in 91732. 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
91732 Diversity Score
47.6
More diverse than 73% of US zip codes
91732 has a diversity score of 47.6: 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. 91732 is more diverse than other US zip codes, more diverse than 73% of them. Within 91732's proper boundaries, the most diverse area is north 91732, and the least diverse areas are in southwest 91732.
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.