Race, Diversity, and Ethnicity in Buffalo, SC

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

Buffalo, SC 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 Buffalo overall is white, making up 79.0% of residents. The next most-common racial group is black at 16.3%. There are more white people in the southeast areas of the city. People who identify as black are most likely to be living in the northwest 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 Buffalo
Race
Buffalo, SC Population
White
79.0%
Hispanic
0.4%
Black
16.3%
Asian
0.0%
Native American
0.0%
Other
4.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Buffalo, SC Population
White
79.0%
Hispanic
0.4%
Black
16.3%
Asian
0.0%
Native American
0.0%
Other
4.2%
   

Diversity and Diversity Scores for Buffalo, SC

The map below shows diversity in Buffalo. 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.

Buffalo, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Buffalo Diversity Score

67

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

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

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