Race, Diversity, and Ethnicity in Seal Beach, CA

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

Seal Beach, CA map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Seal Beach overall is white, making up 68.7% of residents. The next most-common racial group is asian at 16.1%. There are more white people in the southwest areas of the city. 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 Seal Beach
Race
Seal Beach, CA Population
White
68.7%
Hispanic
11.3%
Black
1.4%
Asian
16.1%
Native American
0.1%
Other
2.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Seal Beach, CA Population
White
68.7%
Hispanic
11.3%
Black
1.4%
Asian
16.1%
Native American
0.1%
Other
2.3%
   

Diversity and Diversity Scores for Seal Beach, CA

The map below shows diversity in Seal Beach. 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 city would both be considered lacking diversity.

Seal Beach, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Seal Beach Diversity Score

91

With a diversity score of 91 out of 100, Seal Beach is much more diverse than other US cities. The most diverse area within Seal Beach's proper boundaries is to the east of the city. The least diverse areas are located in the south parts of Seal Beach.

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

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