The map below shows majority race by area in Glen 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 Glen Mills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Glen Mills overall is white, making up 78.4% of residents. The next most-common racial group is asian at 11.4%. There are more white people in the west areas of the city. People who identify as asian 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 Glen Mills
Self-Identified Race |
Glen Mills, PA Population |
|---|---|
White |
78.4% |
Hispanic |
3.8% |
Black |
3.3% |
Asian |
11.4% |
Native American |
0.0% |
Other |
3.1% |
Diversity and Diversity Scores for Glen Mills, PA
The map below shows diversity in Glen 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.
Glen Mills Diversity Score
36.9
More diverse than 69% of US cities
Glen Mills has a diversity score of 36.9: 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. Glen Mills is more diverse than other US cities, more diverse than 69% of them. Within Glen Mills's proper boundaries, the most diverse area is northwest Glen Mills, and the least diverse areas are in west Glen 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.