The map below shows majority race by area in Wilseyville, 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 Wilseyville racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Wilseyville overall is white, making up 55.8% of residents. The next most-common racial group is other at 26.4%. There are more white people in the southwest areas of the city. People who identify as other are most likely to be living in the north 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 Wilseyville
Self-Identified Race |
Wilseyville, CA Population |
|---|---|
White |
55.8% |
Hispanic |
11.7% |
Black |
2.7% |
Asian |
0.1% |
Native American |
3.2% |
Other |
26.4% |
Diversity and Diversity Scores for Wilseyville, CA
The map below shows diversity in Wilseyville. 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.
Wilseyville Diversity Score
60.3
More diverse than 94% of US cities
Wilseyville has a diversity score of 60.3: 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. Wilseyville is much more diverse than other US cities, more diverse than 94% of them. Within Wilseyville's proper boundaries, the most diverse area is north Wilseyville, and the least diverse areas are in southeast Wilseyville.
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.