The map below shows majority race by area in 90004, 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 90004 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 90004 overall is hispanic, making up 43.8% of residents. The next most-common racial group is asian at 24.9%. There are more hispanic people in the northeast areas of the zip. People who identify as asian are most likely to be living in the south 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 90004
Self-Identified Race |
90004, CA Population |
|---|---|
White |
22.3% |
Hispanic |
43.8% |
Black |
4.6% |
Asian |
24.9% |
Native American |
0.3% |
Other |
4.1% |
Diversity and Diversity Scores for 90004, CA
The map below shows diversity in 90004. 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
90004 Diversity Score
69.2
More diverse than 97% of US zip codes
90004 has a diversity score of 69.2: 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. 90004 is much more diverse than other US zip codes, more diverse than 97% of them. Within 90004's proper boundaries, the most diverse area is southeast 90004, and the least diverse areas are in southwest 90004.
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.