The map below shows majority race by area in Glen Richey, 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 Richey racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Glen Richey overall is white, making up 95.1% of residents. The next most-common racial group is black at 4.8%. There are more white people in the northwest areas of the city. People who identify as black are most likely to be living in the northeast 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 Richey
Self-Identified Race |
Glen Richey, PA Population |
|---|---|
White |
95.1% |
Hispanic |
0.0% |
Black |
4.8% |
Asian |
0.1% |
Native American |
0.0% |
Other |
0.0% |
Diversity and Diversity Scores for Glen Richey, PA
The map below shows diversity in Glen Richey. 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 Richey Diversity Score
9.4
More diverse than 17% of US cities
Glen Richey has a diversity score of 9.4: 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. Glen Richey is much less diverse than other US cities, more diverse than 17% of them. Within Glen Richey's proper boundaries, the most diverse area is east Glen Richey, and the least diverse areas are in northwest Glen Richey.
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.