The map below shows majority race by area in Canyon Lake, 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 Canyon Lake racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Canyon Lake overall is white, making up 60.3% of residents. The next most-common racial group is hispanic at 19.4%. There are more white people in the east areas of the city. People who identify as hispanic 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 Canyon Lake
Self-Identified Race |
Canyon Lake, CA Population |
|---|---|
White |
60.3% |
Hispanic |
19.4% |
Black |
5.5% |
Asian |
5.6% |
Native American |
0.6% |
Other |
8.5% |
Diversity and Diversity Scores for Canyon Lake, CA
The map below shows diversity in Canyon Lake. 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.
Canyon Lake Diversity Score
58.5
More diverse than 93% of US cities
Canyon Lake has a diversity score of 58.5: 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. Canyon Lake is much more diverse than other US cities, more diverse than 93% of them. Within Canyon Lake's proper boundaries, the most diverse area is west Canyon Lake, and the least diverse areas are in east Canyon Lake.
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.