The map below shows majority race by area in Gulf Hills, 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 Gulf Hills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Gulf Hills overall is white, making up 68.3% of residents. The next most-common racial group is hispanic at 13.1%. There are more white people in the west 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 Gulf Hills
Self-Identified Race |
Gulf Hills, MS Population |
|---|---|
White |
68.3% |
Hispanic |
13.1% |
Black |
9.7% |
Asian |
2.6% |
Native American |
0.3% |
Other |
6.1% |
Diversity and Diversity Scores for Gulf Hills, MS
The map below shows diversity in Gulf Hills. 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.
Gulf Hills Diversity Score
50.3
More diverse than 84% of US cities
Gulf Hills has a diversity score of 50.3: 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. Gulf Hills is much more diverse than other US cities, more diverse than 84% of them. Within Gulf Hills's proper boundaries, the most diverse area is northeast Gulf Hills, and the least diverse areas are in west Gulf Hills.
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.