Race, Diversity, and Ethnicity in Fort Lawn, SC

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

Fort Lawn, 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 Fort Lawn overall is white, making up 66.1% of residents. The next most-common racial group is black at 32.3%. There are more white people in the northwest areas of the city. People who identify as black 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 Fort Lawn
Race
Fort Lawn, SC Population
White
66.1%
Hispanic
0.2%
Black
32.3%
Asian
0.3%
Native American
0.0%
Other
1.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Fort Lawn, SC Population
White
66.1%
Hispanic
0.2%
Black
32.3%
Asian
0.3%
Native American
0.0%
Other
1.1%
   

Diversity and Diversity Scores for Fort Lawn, SC

The map below shows diversity in Fort Lawn. 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.

Fort Lawn, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Fort Lawn Diversity Score

73

With a diversity score of 73 out of 100, Fort Lawn is more diverse than other US cities. The most diverse area within Fort Lawn's proper boundaries is to the south of the city. The least diverse areas are located in the northwest parts of Fort Lawn.

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

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