Race, Diversity, and Ethnicity in Paramount, CA

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

Paramount, 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 Paramount overall is hispanic, making up 82.3% of residents. The next most-common racial group is black at 8.3%. There are more hispanic people in the central areas of the city. People who identify as black 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 Paramount
Race
Paramount, CA Population
White
5.0%
Hispanic
82.3%
Black
8.3%
Asian
2.7%
Native American
0.1%
Other
1.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Paramount, CA Population
White
5.0%
Hispanic
82.3%
Black
8.3%
Asian
2.7%
Native American
0.1%
Other
1.6%
   

Diversity and Diversity Scores for Paramount, CA

The map below shows diversity in Paramount. 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.

Paramount, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Paramount Diversity Score

73

With a diversity score of 73 out of 100, Paramount is more diverse than other US cities. The most diverse area within Paramount's proper boundaries is to the southwest of the city. The least diverse areas are located in the central parts of Paramount.

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

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