The map below shows majority race by area in Lydia Mills, 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 Lydia Mills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Lydia Mills overall is white, making up 51.5% of residents. The next most-common racial group is black at 45.6%. There are more white people in the south 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 Lydia Mills
Self-Identified Race |
Lydia Mills, SC Population |
|---|---|
White |
51.5% |
Hispanic |
0.6% |
Black |
45.6% |
Asian |
0.2% |
Native American |
0.0% |
Other |
2.1% |
Diversity and Diversity Scores for Lydia Mills, SC
The map below shows diversity in Lydia Mills. 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.
Lydia Mills Diversity Score
52.6
More diverse than 87% of US cities
Lydia Mills has a diversity score of 52.6: 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. Lydia Mills is much more diverse than other US cities, more diverse than 87% of them. Within Lydia Mills's proper boundaries, the most diverse area is east Lydia Mills, and the least diverse areas are in south Lydia Mills.
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.