Race, Diversity, and Ethnicity in Kendall, FL

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

Kendall, FL 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 Kendall overall is hispanic, making up 66.8% of residents. The next most-common racial group is white at 22.1%. 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 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 Kendall
Race
Kendall, FL Population
White
22.1%
Hispanic
66.8%
Black
4.8%
Asian
4.3%
Native American
0.0%
Other
2.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Kendall, FL Population
White
22.1%
Hispanic
66.8%
Black
4.8%
Asian
4.3%
Native American
0.0%
Other
2.1%
   

Diversity and Diversity Scores for Kendall, FL

The map below shows diversity in Kendall. 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.

Kendall, FL map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Kendall Diversity Score

88

With a diversity score of 88 out of 100, Kendall is much more diverse than other US cities. The most diverse area within Kendall's proper boundaries is to the southeast of the city. The least diverse areas are located in the central parts of Kendall.

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

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