Race, Diversity, and Ethnicity in Skyforest, CA

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

Skyforest, CA map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Skyforest overall is white, making up 67.5% of residents. The next most-common racial group is hispanic at 24.6%. 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 south 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 Skyforest
Race
Skyforest, CA Population
White
67.5%
Hispanic
24.6%
Black
0.1%
Asian
0.0%
Native American
0.0%
Other
7.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Skyforest, CA Population
White
67.5%
Hispanic
24.6%
Black
0.1%
Asian
0.0%
Native American
0.0%
Other
7.8%
   

Diversity and Diversity Scores for Skyforest, CA

The map below shows diversity in Skyforest. 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.

Skyforest, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Skyforest Diversity Score

82

With a diversity score of 82 out of 100, Skyforest is much more diverse than other US cities. The most diverse area within Skyforest's proper boundaries is to the south of the city. The least diverse areas are located in the central parts of Skyforest.

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

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