The map below shows majority race by area in Phoenicia, 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 Phoenicia racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Phoenicia overall is white, making up 78.1% of residents. The next most-common racial group is hispanic at 10.7%. There are more white people in the southwest 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 Phoenicia
Self-Identified Race |
Phoenicia, NY Population |
|---|---|
White |
78.1% |
Hispanic |
10.7% |
Black |
0.0% |
Asian |
2.0% |
Native American |
0.2% |
Other |
9.0% |
Diversity and Diversity Scores for Phoenicia, NY
The map below shows diversity in Phoenicia. 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.
Phoenicia Diversity Score
37.0
More diverse than 70% of US cities
Phoenicia has a diversity score of 37.0: 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. Phoenicia is more diverse than other US cities, more diverse than 70% of them. Within Phoenicia's proper boundaries, the most diverse area is central Phoenicia, and the least diverse areas are in southwest Phoenicia.
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.