The map below shows majority race by area in Mount Oliver, 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 Mount Oliver racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Mount Oliver overall is white, making up 47.6% of residents. The next most-common racial group is black at 38.4%. There are more white people in the south 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 Mount Oliver
Self-Identified Race |
Mount Oliver, PA Population |
|---|---|
White |
47.6% |
Hispanic |
4.8% |
Black |
38.4% |
Asian |
0.8% |
Native American |
0.0% |
Other |
8.4% |
Diversity and Diversity Scores for Mount Oliver, PA
The map below shows diversity in Mount Oliver. 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.
Mount Oliver Diversity Score
61.6
More diverse than 95% of US cities
Mount Oliver has a diversity score of 61.6: 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. Mount Oliver is much more diverse than other US cities, more diverse than 95% of them. Within Mount Oliver's proper boundaries, the most diverse area is north Mount Oliver, and the least diverse areas are in south Mount Oliver.
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.