The map below shows majority race by area in Piper City, 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 Piper City racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Piper City overall is white, making up 89.5% of residents. The next most-common racial group is other at 4.1%. There are more white people in the east areas of the city. People who identify as other 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 Piper City
Self-Identified Race |
Piper City, IL Population |
|---|---|
White |
89.5% |
Hispanic |
3.4% |
Black |
2.5% |
Asian |
0.4% |
Native American |
0.0% |
Other |
4.1% |
Diversity and Diversity Scores for Piper City, IL
The map below shows diversity in Piper City. 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.
Piper City Diversity Score
19.5
More diverse than 44% of US cities
Piper City has a diversity score of 19.5: 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. Piper City is about average for diversity versus other US cities, more diverse than 44% of them. Within Piper City's proper boundaries, the most diverse area is central Piper City, and the least diverse areas are in east Piper City.
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.