The map below shows majority race by area in Valle 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 Valle Vista racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Valle Vista overall is hispanic, making up 48.2% of residents. The next most-common racial group is white at 42.1%. There are more hispanic people in the central areas of the city. People who identify as white are most likely to be living in the southeast 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 Valle Vista
Self-Identified Race |
Valle Vista, CA Population |
|---|---|
White |
42.1% |
Hispanic |
48.2% |
Black |
4.3% |
Asian |
1.1% |
Native American |
1.6% |
Other |
2.8% |
Diversity and Diversity Scores for Valle Vista, CA
The map below shows diversity in Valle 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.
Valle Vista Diversity Score
58.8
More diverse than 93% of US cities
Valle Vista has a diversity score of 58.8: 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. Valle Vista is much more diverse than other US cities, more diverse than 93% of them. Within Valle Vista's proper boundaries, the most diverse area is north Valle Vista, and the least diverse areas are in southeast Valle 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.