The map below shows majority race by area in South Park Township, 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 South Park Township racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in South Park Township overall is white, making up 89.8% of residents. The next most-common racial group is other at 3.3%. There are more white people in the southeast areas of the city. People who identify as other are most likely to be living in the southwest 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 |
South Park Township, PA Population |
|---|---|
White |
89.8% |
Hispanic |
1.6% |
Black |
3.0% |
Asian |
2.3% |
Native American |
0.0% |
Other |
3.3% |
Racial Distribution Key
White
Hispanic
Black
Asian
Native American
Other
Self-Identified Race |
South Park Township, PA Population |
|---|---|
White |
89.8% |
Hispanic |
1.6% |
Black |
3.0% |
Asian |
2.3% |
Native American |
0.0% |
Other |
3.3% |
Diversity and Diversity Scores for South Park Township, PA
The map below shows diversity in South Park Township. 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.
Diversity Score
Diverse
Moderately diverse
No diversity
South Park Township Diversity Score
57
With a diversity score of 57 out of 100, South Park Township is about average for diversity versus other US cities. The most diverse area within South Park Township's proper boundaries is to the north of the city. The least diverse areas are located in the southeast parts of South Park Township.
Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.
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