The map below shows majority race by area in Port Gibson, 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 Gibson racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Port Gibson overall is black, making up 87.1% of residents. The next most-common racial group is white at 9.9%. There are more black people in the southeast areas of the city. People who identify as white are most likely to be living in the east 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 Gibson
Self-Identified Race |
Port Gibson, MS Population |
|---|---|
White |
9.9% |
Hispanic |
0.0% |
Black |
87.1% |
Asian |
0.1% |
Native American |
0.0% |
Other |
2.9% |
Diversity and Diversity Scores for Port Gibson, MS
The map below shows diversity in Port Gibson. 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 Gibson Diversity Score
23.0
More diverse than 51% of US cities
Port Gibson has a diversity score of 23.0: 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 Gibson is about average for diversity versus other US cities, more diverse than 51% of them. Within Port Gibson's proper boundaries, the most diverse area is east Port Gibson, and the least diverse areas are in southeast Port Gibson.
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.