The map below shows majority race by area in 94922, 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 94922 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 94922 overall is white, making up 63.1% of residents. The next most-common racial group is hispanic at 26.1%. There are more white people in the northwest areas of the zip. People who identify as hispanic are most likely to be living in the southeast 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 94922
Self-Identified Race |
94922, CA Population |
|---|---|
White |
63.1% |
Hispanic |
26.1% |
Black |
0.0% |
Asian |
1.0% |
Native American |
0.0% |
Other |
9.9% |
Diversity and Diversity Scores for 94922, CA
The map below shows diversity in 94922. 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
94922 Diversity Score
52.4
More diverse than 79% of US zip codes
94922 has a diversity score of 52.4: 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. 94922 is more diverse than other US zip codes, more diverse than 79% of them. Within 94922's proper boundaries, the most diverse area is central 94922, and the least diverse areas are in northwest 94922.
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.