The map below shows majority race by area in Oneida Castle, 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 Oneida Castle racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Oneida Castle overall is white, making up 96.0% of residents. The next most-common racial group is hispanic at 1.9%. 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 west 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 Oneida Castle
Self-Identified Race |
Oneida Castle, NY Population |
|---|---|
White |
96.0% |
Hispanic |
1.9% |
Black |
0.1% |
Asian |
0.0% |
Native American |
0.1% |
Other |
1.8% |
Diversity and Diversity Scores for Oneida Castle, NY
The map below shows diversity in Oneida Castle. 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.
Less diverse
More diverse
Colorblind friendly
off
Oneida Castle Diversity Score
7.7
More diverse than 13% of US cities
Oneida Castle has a diversity score of 7.7: 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. Oneida Castle is much less diverse than other US cities, more diverse than 13% of them.
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.