Race, Diversity, and Ethnicity in Earlimart, CA

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

Earlimart, 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 Earlimart overall is hispanic, making up 93.6% of residents. The next most-common racial group is asian at 3.3%. There are more hispanic people in the central areas of the city. People who identify as asian are most likely to be living in the east 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 Earlimart
Race
Earlimart, CA Population
White
2.0%
Hispanic
93.6%
Black
0.8%
Asian
3.3%
Native American
0.1%
Other
0.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Earlimart, CA Population
White
2.0%
Hispanic
93.6%
Black
0.8%
Asian
3.3%
Native American
0.1%
Other
0.1%
   

Diversity and Diversity Scores for Earlimart, CA

The map below shows diversity in Earlimart. 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.

Earlimart, CA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Earlimart Diversity Score

36

With a diversity score of 36 out of 100, Earlimart is less diverse than other US cities. The most diverse area within Earlimart's proper boundaries is to the southeast of the city. The least diverse areas are located in the central parts of Earlimart.

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

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