Race, Diversity, and Ethnicity in Pasadena, CA

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

Pasadena, 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 Pasadena overall is white, making up 37.0% of residents. The next most-common racial group is hispanic at 32.9%. 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 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 Pasadena
Race
Pasadena, CA Population
White
37.0%
Hispanic
32.9%
Black
7.3%
Asian
17.7%
Native American
0.1%
Other
5.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Pasadena, CA Population
White
37.0%
Hispanic
32.9%
Black
7.3%
Asian
17.7%
Native American
0.1%
Other
5.0%
   

Diversity and Diversity Scores for Pasadena, CA

The map below shows diversity in Pasadena. 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.

Pasadena, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Pasadena Diversity Score

99

With a diversity score of 99 out of 100, Pasadena is much more diverse than other US cities. The most diverse area within Pasadena's proper boundaries is to the southeast of the city. The least diverse areas are located in the northeast parts of Pasadena.

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

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