The map below shows majority race by area in 95464, 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 95464 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 95464 overall is white, making up 68.2% of residents. The next most-common racial group is hispanic at 18.2%. There are more white people in the southeast areas of the zip. People who identify as hispanic are most likely to be living in the southwest 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 95464
Self-Identified Race |
95464, CA Population |
|---|---|
White |
68.2% |
Hispanic |
18.2% |
Black |
0.3% |
Asian |
2.8% |
Native American |
1.5% |
Other |
9.1% |
Diversity and Diversity Scores for 95464, CA
The map below shows diversity in 95464. 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
95464 Diversity Score
49.3
More diverse than 75% of US zip codes
95464 has a diversity score of 49.3: 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. 95464 is more diverse than other US zip codes, more diverse than 75% of them. Within 95464's proper boundaries, the most diverse area is northwest 95464, and the least diverse areas are in southeast 95464.
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.