Race, Diversity, and Ethnicity in Fontana, CA

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

Fontana, 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 Fontana overall is hispanic, making up 67.6% of residents. The next most-common racial group is white at 14.4%. 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 northwest 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 Fontana
Race
Fontana, CA Population
White
14.4%
Hispanic
67.6%
Black
8.0%
Asian
6.6%
Native American
0.4%
Other
3.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Fontana, CA Population
White
14.4%
Hispanic
67.6%
Black
8.0%
Asian
6.6%
Native American
0.4%
Other
3.2%
   

Diversity and Diversity Scores for Fontana, CA

The map below shows diversity in Fontana. 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.

Fontana, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Fontana Diversity Score

94

With a diversity score of 94 out of 100, Fontana is much more diverse than other US cities. The most diverse area within Fontana's proper boundaries is to the northwest of the city. The least diverse areas are located in the east parts of Fontana.

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

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