The map below shows majority race by area in Port Royal, 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 Port Royal racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Port Royal overall is white, making up 56.6% of residents. The next most-common racial group is hispanic at 17.3%. There are more white people in the southwest areas of the city. People who identify as hispanic are most likely to be living in the south 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 Port Royal
Self-Identified Race |
Port Royal, SC Population |
|---|---|
White |
56.6% |
Hispanic |
17.3% |
Black |
15.8% |
Asian |
2.6% |
Native American |
0.0% |
Other |
7.8% |
Diversity and Diversity Scores for Port Royal, SC
The map below shows diversity in Port Royal. 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.
Port Royal Diversity Score
61.8
More diverse than 95% of US cities
Port Royal has a diversity score of 61.8: 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. Port Royal is much more diverse than other US cities, more diverse than 95% of them. Within Port Royal's proper boundaries, the most diverse area is south Port Royal, and the least diverse areas are in southwest Port Royal.
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.