The map below shows majority race by area in Coxs Mills, 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 Coxs Mills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Coxs Mills overall is white, making up 95.9% of residents. The next most-common racial group is other at 2.2%. There are more white people in the east areas of the city. People who identify as other 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 Coxs Mills
Self-Identified Race |
Coxs Mills, WV Population |
|---|---|
White |
95.9% |
Hispanic |
0.8% |
Black |
1.1% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.2% |
Diversity and Diversity Scores for Coxs Mills, WV
The map below shows diversity in Coxs Mills. 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.
Coxs Mills Diversity Score
8.0
More diverse than 13% of US cities
Coxs Mills has a diversity score of 8.0: 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. Coxs Mills is much less diverse than other US cities, more diverse than 13% of them. Within Coxs Mills's proper boundaries, the most diverse area is southwest Coxs Mills, and the least diverse areas are in east Coxs Mills.
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.