The map below shows majority race by area in Shaver Lake Heights, 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 Heights racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Shaver Lake Heights overall is white, making up 73.0% of residents. The next most-common racial group is hispanic at 22.7%. 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 north 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 |
Shaver Lake Heights, CA Population |
|---|---|
White |
73.0% |
Hispanic |
22.7% |
Black |
0.1% |
Asian |
1.4% |
Native American |
0.4% |
Other |
2.4% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
Shaver Lake Heights, CA Population |
|---|---|
White |
73.0% |
Hispanic |
22.7% |
Black |
0.1% |
Asian |
1.4% |
Native American |
0.4% |
Other |
2.4% |
Diversity and Diversity Scores for Shaver Lake Heights, CA
The map below shows diversity in Shaver Lake Heights. 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.
Diversity Score
Diverse
Moderately diverse
No diversity
Shaver Lake Heights Diversity Score
72
With a diversity score of 72 out of 100, Shaver Lake Heights is more diverse than other US cities. The most diverse area within Shaver Lake Heights's proper boundaries is to the west of the city. The least diverse areas are located in the east parts of Shaver Lake Heights.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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