Race, Diversity, and Ethnicity in Georgia

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

Georgia map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Georgia overall is white, making up 53.0% of residents. The next most-common racial group is black at 28.9%. There are more white people in the northeast areas of the state. People who identify as black are most likely to be living in the west 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 Georgia
Race
Georgia Population
White
53.0%
Hispanic
10.1%
Black
28.9%
Asian
4.5%
Native American
0.1%
Other
3.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Georgia Population
White
53.0%
Hispanic
10.1%
Black
28.9%
Asian
4.5%
Native American
0.1%
Other
3.4%
   

Diversity and Diversity Scores for Georgia

The map below shows diversity in Georgia. 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 state would both be considered lacking diversity.

Georgia map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Georgia Diversity Score

73

With a diversity score of 73 out of 100, Georgia is more diverse than other US states. The most diverse area within Georgia's proper boundaries is to the north of the state. The least diverse areas are located in the northeast parts of Georgia.

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

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