The map below shows majority race by area in Spring Hill, 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 Spring Hill racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Spring Hill overall is black, making up 52.6% of residents. The next most-common racial group is white at 43.0%. There are more black people in the central areas of the city. People who identify as white are most likely to be living in the southeast 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 Spring Hill
Self-Identified Race |
Spring Hill, MS Population |
|---|---|
White |
43.0% |
Hispanic |
2.3% |
Black |
52.6% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.1% |
Diversity and Diversity Scores for Spring Hill, MS
The map below shows diversity in Spring Hill. 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.
Spring Hill Diversity Score
53.8
More diverse than 88% of US cities
Spring Hill has a diversity score of 53.8: 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. Spring Hill is much more diverse than other US cities, more diverse than 88% of them. Within Spring Hill's proper boundaries, the most diverse area is south Spring Hill, and the least diverse areas are in southeast Spring Hill.
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.