Race, Diversity, and Ethnicity in Glendora, CA

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

Glendora, 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 Glendora overall is white, making up 44.4% of residents. The next most-common racial group is hispanic at 36.8%. 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 Glendora
Race
Glendora, CA Population
White
44.4%
Hispanic
36.8%
Black
2.6%
Asian
12.3%
Native American
0.3%
Other
3.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Glendora, CA Population
White
44.4%
Hispanic
36.8%
Black
2.6%
Asian
12.3%
Native American
0.3%
Other
3.5%
   

Diversity and Diversity Scores for Glendora, CA

The map below shows diversity in Glendora. 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.

Glendora, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Glendora Diversity Score

97

With a diversity score of 97 out of 100, Glendora is much more diverse than other US cities. The most diverse area within Glendora's proper boundaries is to the west of the city. The least diverse areas are located in the northeast parts of Glendora.

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

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