The map below shows majority race by area in Seneca Hill, 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 Seneca Hill racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Seneca Hill overall is white, making up 93.9% of residents. The next most-common racial group is hispanic at 3.8%. 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 central 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 Seneca Hill
Self-Identified Race |
Seneca Hill, NY Population |
|---|---|
White |
93.9% |
Hispanic |
3.8% |
Black |
0.3% |
Asian |
0.0% |
Native American |
0.0% |
Other |
2.0% |
Diversity and Diversity Scores for Seneca Hill, NY
The map below shows diversity in Seneca Hill. 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.
Seneca Hill Diversity Score
11.7
More diverse than 24% of US cities
Seneca Hill has a diversity score of 11.7: 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. Seneca Hill is less diverse than other US cities, more diverse than 24% of them. Within Seneca Hill's proper boundaries, the most diverse area is west Seneca Hill, and the least diverse areas are in northwest Seneca Hill.
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.