The map below shows majority race by area in Ella, 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 Ella racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Ella overall is white, making up 94.2% of residents. The next most-common racial group is other at 3.5%. There are more white people in the south areas of the city. People who identify as other are most likely to be living in the south 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 Ella
Self-Identified Race |
Ella, WI Population |
|---|---|
White |
94.2% |
Hispanic |
1.9% |
Black |
0.3% |
Asian |
0.0% |
Native American |
0.0% |
Other |
3.5% |
Diversity and Diversity Scores for Ella, WI
The map below shows diversity in Ella. 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.
Less diverse
More diverse
Colorblind friendly
off
Ella Diversity Score
11.1
More diverse than 22% of US cities
Ella has a diversity score of 11.1: 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. Ella is less diverse than other US cities, more diverse than 22% of them. Within Ella's proper boundaries, the most diverse area is north Ella, and the least diverse areas are in south Ella.
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.