The map below shows majority race by area in Big Indian, 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 Big Indian racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Big Indian overall is white, making up 81.4% of residents. The next most-common racial group is hispanic at 11.6%. 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 east 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 Big Indian
Self-Identified Race |
Big Indian, NY Population |
|---|---|
White |
81.4% |
Hispanic |
11.6% |
Black |
0.0% |
Asian |
1.1% |
Native American |
0.0% |
Other |
5.9% |
Diversity and Diversity Scores for Big Indian, NY
The map below shows diversity in Big Indian. 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.
Big Indian Diversity Score
32.0
More diverse than 64% of US cities
Big Indian has a diversity score of 32.0: 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. Big Indian is more diverse than other US cities, more diverse than 64% of them. Within Big Indian's proper boundaries, the most diverse area is north Big Indian, and the least diverse areas are in east Big Indian.
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.