The map below shows majority race by area in Stronghope, 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 Stronghope racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Stronghope overall is white, making up 71.8% of residents. The next most-common racial group is black at 23.3%. There are more white people in the southwest 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 Stronghope
Self-Identified Race |
Stronghope, MS Population |
|---|---|
White |
71.8% |
Hispanic |
4.4% |
Black |
23.3% |
Asian |
0.0% |
Native American |
0.2% |
Other |
0.2% |
Diversity and Diversity Scores for Stronghope, MS
The map below shows diversity in Stronghope. 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.
Stronghope Diversity Score
42.8
More diverse than 75% of US cities
Stronghope has a diversity score of 42.8: 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. Stronghope is more diverse than other US cities, more diverse than 75% of them. Within Stronghope's proper boundaries, the most diverse area is south Stronghope, and the least diverse areas are in southwest Stronghope.
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.