The map below shows majority race by area in Moss Point, 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 Moss Point racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Moss Point overall is white, making up 58.8% of residents. The next most-common racial group is black at 32.2%. There are more white people in the northeast areas of the city. People who identify as black 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 Moss Point
Self-Identified Race |
Moss Point, MS Population |
|---|---|
White |
58.8% |
Hispanic |
3.4% |
Black |
32.2% |
Asian |
1.0% |
Native American |
0.3% |
Other |
4.3% |
Diversity and Diversity Scores for Moss Point, MS
The map below shows diversity in Moss Point. 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.
Moss Point Diversity Score
54.8
More diverse than 89% of US cities
Moss Point 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. Moss Point is much more diverse than other US cities, more diverse than 89% of them. Within Moss Point's proper boundaries, the most diverse area is southwest Moss Point, and the least diverse areas are in northeast Moss Point.
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.