Race, Diversity, and Ethnicity in Nesmith, SC

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

Nesmith, 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 Nesmith overall is black, making up 77.6% of residents. The next most-common racial group is white at 22.1%. There are more black people in the northwest areas of the city. People who identify as white 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 Nesmith
Race
Nesmith, SC Population
White
22.1%
Hispanic
0.3%
Black
77.6%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Nesmith, SC Population
White
22.1%
Hispanic
0.3%
Black
77.6%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Nesmith, SC

The map below shows diversity in Nesmith. 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.

Nesmith, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Nesmith Diversity Score

55

With a diversity score of 55 out of 100, Nesmith is about average for diversity versus other US cities. The most diverse area within Nesmith's proper boundaries is to the south of the city. The least diverse areas are located in the northwest parts of Nesmith.

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

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