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.
The majority race in Seal Beach overall is white, making up 65.6% of residents. The next most-common racial group is hispanic at 14.7%. There are more white people in the southwest areas of the city. People who identify as hispanic are most likely to be living in the east 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
Self-Identified Race |
Seal Beach, CA Population |
|---|---|
White |
65.6% |
Hispanic |
14.7% |
Black |
1.2% |
Asian |
14.0% |
Native American |
0.1% |
Other |
4.4% |
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 Diversity Score
52.7
More diverse than 87% of US cities
Seal Beach has a diversity score of 52.7: 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. Seal Beach is much more diverse than other US cities, more diverse than 87% of them. Within Seal Beach's proper boundaries, the most diverse area is east Seal Beach, and the least diverse areas are in southwest Seal Beach.
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.