The map below shows majority race by area in King of Prussia, 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 King of Prussia racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in King of Prussia overall is white, making up 61.3% of residents. The next most-common racial group is asian at 22.0%. There are more white people in the east areas of the city. People who identify as asian are most likely to be living in the west 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 King of Prussia
Self-Identified Race |
King of Prussia, PA Population |
|---|---|
White |
61.3% |
Hispanic |
4.1% |
Black |
10.0% |
Asian |
22.0% |
Native American |
0.0% |
Other |
2.5% |
Diversity and Diversity Scores for King of Prussia, PA
The map below shows diversity in King of Prussia. 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.
King of Prussia Diversity Score
56.3
More diverse than 91% of US cities
King of Prussia has a diversity score of 56.3: 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. King of Prussia is much more diverse than other US cities, more diverse than 91% of them. Within King of Prussia's proper boundaries, the most diverse area is northeast King of Prussia, and the least diverse areas are in east King of Prussia.
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.