The map below shows majority race by area in New York, 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 York racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in New York overall is white, making up 52.0% of residents. The next most-common racial group is hispanic at 19.8%. There are more white people in the northeast areas of the state. 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 York
Self-Identified Race |
New York Population |
|---|---|
White |
52.0% |
Hispanic |
19.8% |
Black |
13.4% |
Asian |
9.3% |
Native American |
0.3% |
Other |
5.2% |
Diversity and Diversity Scores for New York
The map below shows diversity in New York. 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 state would both be considered lacking diversity.
New York Diversity Score
66.1
More diverse than 86% of US states
New York has a diversity score of 66.1: 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 York is much more diverse than other US states, more diverse than 86% of them. Within New York's proper boundaries, the most diverse area is south New York, and the least diverse areas are in northeast New York.
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.