The map below shows majority race by area in Park Ridge, 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 Park Ridge racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Park Ridge overall is white, making up 92.1% of residents. The next most-common racial group is asian at 2.3%. There are more white people in the central areas of the city. People who identify as asian are most likely to be living in the northeast 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 Park Ridge
Self-Identified Race |
Park Ridge, WI Population |
|---|---|
White |
92.1% |
Hispanic |
2.2% |
Black |
1.5% |
Asian |
2.3% |
Native American |
0.0% |
Other |
1.8% |
Diversity and Diversity Scores for Park Ridge, WI
The map below shows diversity in Park Ridge. 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.
Park Ridge Diversity Score
15.1
More diverse than 34% of US cities
Park Ridge has a diversity score of 15.1: 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. Park Ridge is less diverse than other US cities, more diverse than 34% of them. Within Park Ridge's proper boundaries, the most diverse area is northeast Park Ridge, and the least diverse areas are in central Park Ridge.
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.