The map below shows majority race by area in New Square, 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 New Square racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in New Square overall is white, making up 92.5% of residents. The next most-common racial group is hispanic at 4.7%. 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 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 New Square
Self-Identified Race |
New Square, NY Population |
|---|---|
White |
92.5% |
Hispanic |
4.7% |
Black |
0.3% |
Asian |
1.0% |
Native American |
0.0% |
Other |
1.4% |
Diversity and Diversity Scores for New Square, NY
The map below shows diversity in New Square. 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.
New Square Diversity Score
14.1
More diverse than 31% of US cities
New Square has a diversity score of 14.1: 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. New Square is less diverse than other US cities, more diverse than 31% of them. Within New Square's proper boundaries, the most diverse area is south New Square, and the least diverse areas are in east New Square.
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.