The map below shows majority race by area in Eola Village, 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 Eola Village racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Eola Village overall is white, making up 70.2% of residents. The next most-common racial group is hispanic at 22.0%. There are more white people in the east areas of the city. People who identify as hispanic 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 Eola Village
Self-Identified Race |
Eola Village, OR Population |
|---|---|
White |
70.2% |
Hispanic |
22.0% |
Black |
0.0% |
Asian |
0.2% |
Native American |
0.6% |
Other |
7.0% |
Diversity and Diversity Scores for Eola Village, OR
The map below shows diversity in Eola Village. 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.
Eola Village Diversity Score
45.4
More diverse than 78% of US cities
Eola Village has a diversity score of 45.4: 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. Eola Village is more diverse than other US cities, more diverse than 78% of them. Within Eola Village's proper boundaries, the most diverse area is north Eola Village, and the least diverse areas are in east Eola Village.
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.