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.
The majority race in Fort Lawn overall is white, making up 59.8% of residents. The next most-common racial group is black at 29.9%. 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
Self-Identified Race |
Fort Lawn, SC Population |
|---|---|
White |
59.8% |
Hispanic |
4.7% |
Black |
29.9% |
Asian |
0.0% |
Native American |
0.3% |
Other |
5.3% |
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 Diversity Score
54.8
More diverse than 89% of US cities
Fort Lawn has a diversity score of 54.8: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. Fort Lawn is much more diverse than other US cities, more diverse than 89% of them. Within Fort Lawn's proper boundaries, the most diverse area is east Fort Lawn, and the least diverse areas are in northwest Fort Lawn.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.