Race, Diversity, and Ethnicity in Whitney, FL

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

Whitney, 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 Whitney overall is white, making up 39.1% of residents. The next most-common racial group is hispanic at 38.2%. There are more white people in the central areas of the city. People who identify as hispanic 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 Whitney
Race
Whitney, FL Population
White
39.1%
Hispanic
38.2%
Black
19.5%
Asian
2.2%
Native American
0.0%
Other
1.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Whitney, FL Population
White
39.1%
Hispanic
38.2%
Black
19.5%
Asian
2.2%
Native American
0.0%
Other
1.0%
   

Diversity and Diversity Scores for Whitney, FL

The map below shows diversity in Whitney. 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.

Whitney, FL map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Whitney Diversity Score

99

With a diversity score of 99 out of 100, Whitney is much more diverse than other US cities. The most diverse area within Whitney's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Whitney.

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

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