The map below shows majority race by area in Glen Summit, 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 Summit racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Glen Summit overall is white, making up 92.7% of residents. The next most-common racial group is hispanic at 6.4%. There are more white people in the north areas of the city. People who identify as hispanic are most likely to be living in the northwest 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 Summit
Self-Identified Race |
Glen Summit, PA Population |
|---|---|
White |
92.7% |
Hispanic |
6.4% |
Black |
0.0% |
Asian |
0.1% |
Native American |
0.0% |
Other |
0.8% |
Diversity and Diversity Scores for Glen Summit, PA
The map below shows diversity in Glen Summit. 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 Summit Diversity Score
13.6
More diverse than 30% of US cities
Glen Summit has a diversity score of 13.6: 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 Summit is less diverse than other US cities, more diverse than 30% of them. Within Glen Summit's proper boundaries, the most diverse area is east Glen Summit, and the least diverse areas are in north Glen Summit.
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.