Race, Diversity, and Ethnicity in Lee County, SC

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

Lee County, 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 Lee County overall is black, making up 59.7% of residents. The next most-common racial group is white at 34.0%. There are more black people in the southeast areas of the county. People who identify as white are most likely to be living in the northeast 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 Lee County
Race
Lee County, SC Population
White
34.0%
Hispanic
2.4%
Black
59.7%
Asian
0.1%
Native American
0.0%
Other
3.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Lee County, SC Population
White
34.0%
Hispanic
2.4%
Black
59.7%
Asian
0.1%
Native American
0.0%
Other
3.8%
   

Diversity and Diversity Scores for Lee County, SC

The map below shows diversity in Lee County. 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 county would both be considered lacking diversity.

Lee County, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Lee County Diversity Score

68

With a diversity score of 68 out of 100, Lee County is more diverse than other US counties. The most diverse area within Lee County's proper boundaries is to the northwest of the county. The least diverse areas are located in the south parts of Lee County.

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

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