The map below shows majority race by area in Pine Meadow, 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 Pine Meadow racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Pine Meadow overall is white, making up 94.4% of residents. The next most-common racial group is hispanic at 3.3%. There are more white people in the northwest areas of the city. People who identify as hispanic 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 Pine Meadow
Self-Identified Race |
Pine Meadow, CT Population |
|---|---|
White |
94.4% |
Hispanic |
3.3% |
Black |
0.0% |
Asian |
2.1% |
Native American |
0.0% |
Other |
0.2% |
Diversity and Diversity Scores for Pine Meadow, CT
The map below shows diversity in Pine Meadow. 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.
Pine Meadow Diversity Score
10.8
More diverse than 21% of US cities
Pine Meadow 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. Pine Meadow is less diverse than other US cities, more diverse than 21% of them. Within Pine Meadow's proper boundaries, the most diverse area is south Pine Meadow, and the least diverse areas are in northwest Pine Meadow.
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.