Race, Diversity, and Ethnicity in Foresta, CA

The map below shows majority race by area in Foresta, 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 Foresta racial diversity and diversity scores. Click here to scroll to diversity data.

Foresta, CA map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Foresta overall is hispanic, making up 85.9% of residents. The next most-common racial group is asian at 11.4%. There are more hispanic people in the northeast areas of the city. People who identify as asian 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 Foresta
Race
Foresta, CA Population
White
2.3%
Hispanic
85.9%
Black
0.1%
Asian
11.4%
Native American
0.2%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Foresta, CA Population
White
2.3%
Hispanic
85.9%
Black
0.1%
Asian
11.4%
Native American
0.2%
Other
0.0%
   

Diversity and Diversity Scores for Foresta, CA

The map below shows diversity in Foresta. 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.

Foresta, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Foresta Diversity Score

39

With a diversity score of 39 out of 100, Foresta is less diverse than other US cities. The most diverse area within Foresta's proper boundaries is to the south of the city. The least diverse areas are located in the northeast parts of Foresta.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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