The map below shows majority race by area in Long Ridge, 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 Long Ridge racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Long Ridge overall is white, making up 59.8% of residents. The next most-common racial group is black at 17.4%. There are more white people in the east areas of the city. People who identify as black 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 Long Ridge
Self-Identified Race |
Long Ridge, SC Population |
|---|---|
White |
59.8% |
Hispanic |
10.0% |
Black |
17.4% |
Asian |
6.2% |
Native American |
0.1% |
Other |
6.4% |
Diversity and Diversity Scores for Long Ridge, SC
The map below shows diversity in Long Ridge. 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.
Long Ridge Diversity Score
59.4
More diverse than 94% of US cities
Long Ridge has a diversity score of 59.4: 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. Long Ridge is much more diverse than other US cities, more diverse than 94% of them. Within Long Ridge's proper boundaries, the most diverse area is southeast Long Ridge, and the least diverse areas are in northeast Long Ridge.
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.