Race, Diversity, and Ethnicity in Rosemead, CA

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

Rosemead, 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 Rosemead overall is asian, making up 63.8% of residents. The next most-common racial group is hispanic at 30.6%. There are more asian people in the north areas of the city. People who identify as hispanic are most likely to be living in the southeast 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 Rosemead
Race
Rosemead, CA Population
White
3.9%
Hispanic
30.6%
Black
0.4%
Asian
63.8%
Native American
0.2%
Other
1.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Rosemead, CA Population
White
3.9%
Hispanic
30.6%
Black
0.4%
Asian
63.8%
Native American
0.2%
Other
1.1%
   

Diversity and Diversity Scores for Rosemead, CA

The map below shows diversity in Rosemead. 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.

Rosemead, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Rosemead Diversity Score

83

With a diversity score of 83 out of 100, Rosemead is much more diverse than other US cities. The most diverse area within Rosemead's proper boundaries is to the northeast of the city. The least diverse areas are located in the east parts of Rosemead.

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

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