The map below shows majority race by area in San Simeon, 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 San Simeon racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in San Simeon overall is white, making up 61.4% of residents. The next most-common racial group is hispanic at 31.7%. There are more white people in the southeast areas of the city. People who identify as hispanic are most likely to be living in the central 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 San Simeon
Self-Identified Race |
San Simeon, CA Population |
|---|---|
White |
61.4% |
Hispanic |
31.7% |
Black |
0.0% |
Asian |
1.5% |
Native American |
0.0% |
Other |
5.4% |
Diversity and Diversity Scores for San Simeon, CA
The map below shows diversity in San Simeon. 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.
San Simeon Diversity Score
52.0
More diverse than 86% of US cities
San Simeon has a diversity score of 52.0: 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. San Simeon is much more diverse than other US cities, more diverse than 86% of them. Within San Simeon's proper boundaries, the most diverse area is central San Simeon, and the least diverse areas are in southeast San Simeon.
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.