The map below shows majority race by area in 16726, 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 16726 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 16726 overall is white, making up 86.9% of residents. The next most-common racial group is black at 6.2%. There are more white people in the north areas of the zip. People who identify as black 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 16726
Self-Identified Race |
16726, PA Population |
|---|---|
White |
86.9% |
Hispanic |
4.6% |
Black |
6.2% |
Asian |
0.2% |
Native American |
0.0% |
Other |
2.1% |
Diversity and Diversity Scores for 16726, PA
The map below shows diversity in 16726. 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 zip would both be considered lacking diversity.
Less diverse
More diverse
Colorblind friendly
off
16726 Diversity Score
23.8
More diverse than 44% of US zip codes
16726 has a diversity score of 23.8: 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. 16726 is about average for diversity versus other US zip codes, more diverse than 44% of them. Within 16726's proper boundaries, the most diverse area is central 16726, and the least diverse areas are in north 16726.
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.