The map below shows majority race by area in Bird Island, 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 Bird Island racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Bird Island overall is white, making up 94.4% of residents. The next most-common racial group is hispanic at 2.9%. 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 central 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 Bird Island
Self-Identified Race |
Bird Island, MN Population |
|---|---|
White |
94.4% |
Hispanic |
2.9% |
Black |
1.9% |
Asian |
0.0% |
Native American |
0.0% |
Other |
0.7% |
Diversity and Diversity Scores for Bird Island, MN
The map below shows diversity in Bird Island. 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.
Bird Island Diversity Score
10.8
More diverse than 21% of US cities
Bird Island has a diversity score of 10.8: 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. Bird Island is less diverse than other US cities, more diverse than 21% of them. Within Bird Island's proper boundaries, the most diverse area is central Bird Island, and the least diverse areas are in east Bird Island.
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.