Race, Diversity, and Ethnicity in Shepard, SC

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

Shepard, SC 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 Shepard overall is white, making up 61.3% of residents. The next most-common racial group is black at 25.3%. There are more white people in the southwest areas of the city. People who identify as black are most likely to be living in the east 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 Shepard
Race
Shepard, SC Population
White
61.3%
Hispanic
4.8%
Black
25.3%
Asian
1.9%
Native American
0.1%
Other
6.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Shepard, SC Population
White
61.3%
Hispanic
4.8%
Black
25.3%
Asian
1.9%
Native American
0.1%
Other
6.7%
   

Diversity and Diversity Scores for Shepard, SC

The map below shows diversity in Shepard. 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.

Shepard, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Shepard Diversity Score

94

With a diversity score of 94 out of 100, Shepard is much more diverse than other US cities. The most diverse area within Shepard's proper boundaries is to the central of the city. The least diverse areas are located in the southwest parts of Shepard.

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

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