The map below shows majority race by area in Owens Wells, 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 Owens Wells racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Owens Wells overall is black, making up 88.3% of residents. The next most-common racial group is white at 9.5%. There are more black people in the south 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 Owens Wells
Self-Identified Race |
Owens Wells, MS Population |
|---|---|
White |
9.5% |
Hispanic |
0.5% |
Black |
88.3% |
Asian |
0.1% |
Native American |
0.2% |
Other |
1.5% |
Diversity and Diversity Scores for Owens Wells, MS
The map below shows diversity in Owens Wells. 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.
Owens Wells Diversity Score
21.2
More diverse than 48% of US cities
Owens Wells has a diversity score of 21.2: 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. Owens Wells is about average for diversity versus other US cities, more diverse than 48% of them. Within Owens Wells's proper boundaries, the most diverse area is east Owens Wells, and the least diverse areas are in south Owens Wells.
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.