The map below shows majority race by area in Tahoe Vista, 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 Tahoe Vista racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Tahoe Vista overall is white, making up 73.9% of residents. The next most-common racial group is hispanic at 18.2%. There are more white people in the northeast areas of the city. People who identify as hispanic are most likely to be living in the southwest 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 Tahoe Vista
Self-Identified Race |
Tahoe Vista, CA Population |
|---|---|
White |
73.9% |
Hispanic |
18.2% |
Black |
0.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
7.9% |
Diversity and Diversity Scores for Tahoe Vista, CA
The map below shows diversity in Tahoe Vista. 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.
Tahoe Vista Diversity Score
41.5
More diverse than 74% of US cities
Tahoe Vista has a diversity score of 41.5: 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. Tahoe Vista is more diverse than other US cities, more diverse than 74% of them. Within Tahoe Vista's proper boundaries, the most diverse area is northwest Tahoe Vista, and the least diverse areas are in northeast Tahoe Vista.
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.