Race, Diversity, and Ethnicity in Clemson, SC

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

Clemson, 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 Clemson overall is white, making up 75.7% of residents. The next most-common racial group is black at 9.2%. 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 south 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 Clemson
Race
Clemson, SC Population
White
75.7%
Hispanic
2.3%
Black
9.2%
Asian
6.8%
Native American
0.2%
Other
6.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Clemson, SC Population
White
75.7%
Hispanic
2.3%
Black
9.2%
Asian
6.8%
Native American
0.2%
Other
6.0%
   

Diversity and Diversity Scores for Clemson, SC

The map below shows diversity in Clemson. 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.

Clemson, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Clemson Diversity Score

86

With a diversity score of 86 out of 100, Clemson is much more diverse than other US cities. The most diverse area within Clemson's proper boundaries is to the central of the city. The least diverse areas are located in the southeast parts of Clemson.

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

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