The map below shows majority race by area in Glenwillow, 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 Glenwillow racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Glenwillow overall is white, making up 48.1% of residents. The next most-common racial group is black at 28.7%. There are more white people in the north 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 Glenwillow
Self-Identified Race |
Glenwillow, OH Population |
|---|---|
White |
48.1% |
Hispanic |
0.0% |
Black |
28.7% |
Asian |
18.8% |
Native American |
0.0% |
Other |
4.4% |
Diversity and Diversity Scores for Glenwillow, OH
The map below shows diversity in Glenwillow. 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.
Glenwillow Diversity Score
64.9
More diverse than 97% of US cities
Glenwillow has a diversity score of 64.9: 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. Glenwillow is much more diverse than other US cities, more diverse than 97% of them. Within Glenwillow's proper boundaries, the most diverse area is central Glenwillow, and the least diverse areas are in north Glenwillow.
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.