Race, Diversity, and Ethnicity in Jacumba, CA

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

Jacumba, 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 Jacumba overall is hispanic, making up 53.5% of residents. The next most-common racial group is white at 31.8%. 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 central 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 Jacumba
Race
Jacumba, CA Population
White
31.8%
Hispanic
53.5%
Black
0.0%
Asian
0.0%
Native American
4.5%
Other
10.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Jacumba, CA Population
White
31.8%
Hispanic
53.5%
Black
0.0%
Asian
0.0%
Native American
4.5%
Other
10.2%
   

Diversity and Diversity Scores for Jacumba, CA

The map below shows diversity in Jacumba. 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.

Jacumba, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Jacumba Diversity Score

95

With a diversity score of 95 out of 100, Jacumba is much more diverse than other US cities. The most diverse area within Jacumba's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Jacumba.

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

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