The map below shows majority race by area in 95117, 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 95117 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 95117 overall is white, making up 30.8% of residents. The next most-common racial group is asian at 30.0%. There are more white people in the north 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 95117
Self-Identified Race |
95117, CA Population |
|---|---|
White |
30.8% |
Hispanic |
28.5% |
Black |
4.8% |
Asian |
30.0% |
Native American |
0.0% |
Other |
5.8% |
Diversity and Diversity Scores for 95117, CA
The map below shows diversity in 95117. 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
95117 Diversity Score
72.8
More diverse than 99% of US zip codes
95117 has a diversity score of 72.8: 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. 95117 is much more diverse than other US zip codes, more diverse than 99% of them. Within 95117's proper boundaries, the most diverse area is southwest 95117, and the least diverse areas are in northeast 95117.
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.