Race, Diversity, and Ethnicity in 91103, CA

The map below shows majority race by area in 91103, 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 91103 racial diversity and diversity scores. Click here to scroll to diversity data.

91103, CA map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 91103 overall is hispanic, making up 46.2% of residents. The next most-common racial group is white at 24.2%. There are more hispanic people in the east areas of the zip. People who identify as white 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 91103
Race
91103, CA Population
White
24.2%
Hispanic
46.2%
Black
16.1%
Asian
10.3%
Native American
0.2%
Other
2.9%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
91103, CA Population
White
24.2%
Hispanic
46.2%
Black
16.1%
Asian
10.3%
Native American
0.2%
Other
2.9%
   

Diversity and Diversity Scores for 91103, CA

The map below shows diversity in 91103. 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.

91103, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

91103 Diversity Score

96

With a diversity score of 96 out of 100, 91103 is much more diverse than other US zip codes. The most diverse area within 91103's proper boundaries is to the northwest of the zip. The least diverse areas are located in the southwest parts of 91103.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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