The map below shows majority race by area in Swans 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 Swans Island racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Swans Island overall is white, making up 87.6% of residents. The next most-common racial group is other at 5.9%. There are more white people in the central areas of the city. People who identify as other 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 Swans Island
Self-Identified Race |
Swans Island, ME Population |
|---|---|
White |
87.6% |
Hispanic |
3.6% |
Black |
1.1% |
Asian |
1.8% |
Native American |
0.0% |
Other |
5.9% |
Diversity and Diversity Scores for Swans Island, ME
The map below shows diversity in Swans 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.
Less diverse
More diverse
Colorblind friendly
off
Swans Island Diversity Score
22.8
More diverse than 51% of US cities
Swans Island has a diversity score of 22.8: 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. Swans Island is about average for diversity versus other US cities, more diverse than 51% of them.
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.