The map below shows majority race by area in Etna 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 Etna Mills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Etna Mills overall is white, making up 84.4% of residents. The next most-common racial group is black at 11.9%. There are more white people in the south areas of the city. People who identify as black are most likely to be living in the southwest 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 Etna Mills
Self-Identified Race |
Etna Mills, VA Population |
|---|---|
White |
84.4% |
Hispanic |
1.3% |
Black |
11.9% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.5% |
Diversity and Diversity Scores for Etna Mills, VA
The map below shows diversity in Etna 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.
Etna Mills Diversity Score
27.4
More diverse than 58% of US cities
Etna Mills has a diversity score of 27.4: 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. Etna Mills is about average for diversity versus other US cities, more diverse than 58% of them. Within Etna Mills's proper boundaries, the most diverse area is southwest Etna Mills, and the least diverse areas are in central Etna 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.