The map below shows majority race by area in 92066, 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 92066 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 92066 overall is white, making up 77.0% of residents. The next most-common racial group is native american at 12.7%. There are more white people in the central areas of the zip. People who identify as native american are most likely to be living in the north 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 92066
Self-Identified Race |
92066, CA Population |
|---|---|
White |
77.0% |
Hispanic |
7.6% |
Black |
0.2% |
Asian |
0.8% |
Native American |
12.7% |
Other |
1.7% |
Diversity and Diversity Scores for 92066, CA
The map below shows diversity in 92066. 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
92066 Diversity Score
38.5
More diverse than 62% of US zip codes
92066 has a diversity score of 38.5: 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. 92066 is more diverse than other US zip codes, more diverse than 62% of them. Within 92066's proper boundaries, the most diverse area is east 92066, and the least diverse areas are in central 92066.
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.