Race, Diversity, and Ethnicity in Pine Flat, AL

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

Pine Flat, AL 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 Pine Flat overall is white, making up 81.4% of residents. The next most-common racial group is black at 12.9%. There are more white people in the central areas of the city. People who identify as black are most likely to be living in the northeast 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 Pine Flat
Race
Pine Flat, AL Population
White
81.4%
Hispanic
0.2%
Black
12.9%
Asian
0.1%
Native American
0.2%
Other
5.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Pine Flat, AL Population
White
81.4%
Hispanic
0.2%
Black
12.9%
Asian
0.1%
Native American
0.2%
Other
5.2%
   

Diversity and Diversity Scores for Pine Flat, AL

The map below shows diversity in Pine Flat. 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.

Pine Flat, AL map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Pine Flat Diversity Score

67

With a diversity score of 67 out of 100, Pine Flat is more diverse than other US cities. The most diverse area within Pine Flat's proper boundaries is to the northeast of the city. The least diverse areas are located in the central parts of Pine Flat.

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

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