The map below shows majority race by area in Ben Wheeler, 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 Ben Wheeler racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Ben Wheeler overall is white, making up 81.3% of residents. The next most-common racial group is hispanic at 13.0%. There are more white people in the south areas of the city. People who identify as hispanic are most likely to be living in the central 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 Ben Wheeler
Self-Identified Race |
Ben Wheeler, TX Population |
|---|---|
White |
81.3% |
Hispanic |
13.0% |
Black |
3.4% |
Asian |
0.6% |
Native American |
0.3% |
Other |
1.3% |
Diversity and Diversity Scores for Ben Wheeler, TX
The map below shows diversity in Ben Wheeler. 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.
Ben Wheeler Diversity Score
32.0
More diverse than 64% of US cities
Ben Wheeler has a diversity score of 32.0: 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. Ben Wheeler is more diverse than other US cities, more diverse than 64% of them. Within Ben Wheeler's proper boundaries, the most diverse area is southeast Ben Wheeler, and the least diverse areas are in south Ben Wheeler.
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.