The map below shows majority race by area in Southport, 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 Southport racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Southport overall is white, making up 90.2% of residents. The next most-common racial group is asian at 4.7%. There are more white people in the southeast areas of the city. People who identify as asian 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 Southport
Self-Identified Race |
Southport, CT Population |
|---|---|
White |
90.2% |
Hispanic |
3.4% |
Black |
0.2% |
Asian |
4.7% |
Native American |
0.0% |
Other |
1.5% |
Diversity and Diversity Scores for Southport, CT
The map below shows diversity in Southport. 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.
Southport Diversity Score
18.2
More diverse than 41% of US cities
Southport has a diversity score of 18.2: 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. Southport is about average for diversity versus other US cities, more diverse than 41% of them. Within Southport's proper boundaries, the most diverse area is north Southport, and the least diverse areas are in southeast Southport.
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.