The map below shows majority race by area in 95032, 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 95032 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 95032 overall is white, making up 60.7% of residents. The next most-common racial group is asian at 22.6%. There are more white people in the south areas of the zip. People who identify as asian are most likely to be living in the northeast 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 95032
Self-Identified Race |
95032, CA Population |
|---|---|
White |
60.7% |
Hispanic |
10.2% |
Black |
1.4% |
Asian |
22.6% |
Native American |
0.0% |
Other |
5.1% |
Diversity and Diversity Scores for 95032, CA
The map below shows diversity in 95032. 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
95032 Diversity Score
56.7
More diverse than 85% of US zip codes
95032 has a diversity score of 56.7: 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. 95032 is much more diverse than other US zip codes, more diverse than 85% of them. Within 95032's proper boundaries, the most diverse area is northeast 95032, and the least diverse areas are in south 95032.
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.