The map below shows majority race by area in Shaver 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 Shaver Lake racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Shaver Lake overall is white, making up 79.6% of residents. The next most-common racial group is hispanic at 13.8%. There are more white people in the central 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 Shaver Lake
Self-Identified Race |
Shaver Lake, CA Population |
|---|---|
White |
79.6% |
Hispanic |
13.8% |
Black |
0.1% |
Asian |
0.0% |
Native American |
2.5% |
Other |
4.1% |
Diversity and Diversity Scores for Shaver Lake, CA
The map below shows diversity in Shaver 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.
Shaver Lake Diversity Score
34.5
More diverse than 67% of US cities
Shaver Lake has a diversity score of 34.5: 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. Shaver Lake is more diverse than other US cities, more diverse than 67% of them. Within Shaver Lake's proper boundaries, the most diverse area is northeast Shaver Lake, and the least diverse areas are in central Shaver 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.