Race, Diversity, and Ethnicity in Pine Park, GA

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

Pine Park, GA 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 Park overall is white, making up 63.4% of residents. The next most-common racial group is black at 30.2%. There are more white people in the south areas of the city. People who identify as black are most likely to be living in the southwest 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 Park
Race
Pine Park, GA Population
White
63.4%
Hispanic
3.5%
Black
30.2%
Asian
0.0%
Native American
1.7%
Other
1.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Pine Park, GA Population
White
63.4%
Hispanic
3.5%
Black
30.2%
Asian
0.0%
Native American
1.7%
Other
1.2%
   

Diversity and Diversity Scores for Pine Park, GA

The map below shows diversity in Pine Park. 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 Park, GA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Pine Park Diversity Score

83

With a diversity score of 83 out of 100, Pine Park is much more diverse than other US cities. The most diverse area within Pine Park's proper boundaries is to the east of the city. The least diverse areas are located in the south parts of Pine Park.

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

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