Race, Diversity, and Ethnicity in Green Sea, SC

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

Green Sea, 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 Green Sea overall is white, making up 65.8% of residents. The next most-common racial group is black at 32.3%. There are more white people in the central 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 Green Sea
Race
Green Sea, SC Population
White
65.8%
Hispanic
0.0%
Black
32.3%
Asian
0.0%
Native American
0.2%
Other
1.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Green Sea, SC Population
White
65.8%
Hispanic
0.0%
Black
32.3%
Asian
0.0%
Native American
0.2%
Other
1.6%
   

Diversity and Diversity Scores for Green Sea, SC

The map below shows diversity in Green Sea. 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.

Green Sea, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Green Sea Diversity Score

74

With a diversity score of 74 out of 100, Green Sea is more diverse than other US cities. The most diverse area within Green Sea's proper boundaries is to the northwest of the city. The least diverse areas are located in the central parts of Green Sea.

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

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