The map below shows majority race by area in William Penn, 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 William Penn racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in William Penn overall is white, making up 52.3% of residents. The next most-common racial group is black at 32.0%. There are more white people in the west areas of the city. People who identify as black 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 William Penn
Self-Identified Race |
William Penn, TX Population |
|---|---|
White |
52.3% |
Hispanic |
14.8% |
Black |
32.0% |
Asian |
0.0% |
Native American |
0.8% |
Other |
0.0% |
Diversity and Diversity Scores for William Penn, TX
The map below shows diversity in William Penn. 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.
William Penn Diversity Score
60.2
More diverse than 94% of US cities
William Penn has a diversity score of 60.2: 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. William Penn is much more diverse than other US cities, more diverse than 94% of them. Within William Penn's proper boundaries, the most diverse area is east William Penn, and the least diverse areas are in west William Penn.
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.