Race, Diversity, and Ethnicity in Seabrook, SC

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

Seabrook, 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 Seabrook overall is black, making up 55.3% of residents. The next most-common racial group is white at 33.9%. There are more black people in the east areas of the city. People who identify as white are most likely to be living in the central 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 Seabrook
Race
Seabrook, SC Population
White
33.9%
Hispanic
2.9%
Black
55.3%
Asian
0.0%
Native American
0.2%
Other
7.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Seabrook, SC Population
White
33.9%
Hispanic
2.9%
Black
55.3%
Asian
0.0%
Native American
0.2%
Other
7.7%
   

Diversity and Diversity Scores for Seabrook, SC

The map below shows diversity in Seabrook. 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.

Seabrook, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Seabrook Diversity Score

88

With a diversity score of 88 out of 100, Seabrook is much more diverse than other US cities. The most diverse area within Seabrook's proper boundaries is to the south of the city. The least diverse areas are located in the east parts of Seabrook.

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

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