The map below shows majority race by area in Maplecrest, 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 Maplecrest racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Maplecrest overall is white, making up 87.2% of residents. The next most-common racial group is hispanic at 4.7%. 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 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 Maplecrest
Self-Identified Race |
Maplecrest, NY Population |
|---|---|
White |
87.2% |
Hispanic |
4.7% |
Black |
4.2% |
Asian |
0.8% |
Native American |
0.0% |
Other |
3.2% |
Diversity and Diversity Scores for Maplecrest, NY
The map below shows diversity in Maplecrest. 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.
Maplecrest Diversity Score
23.5
More diverse than 52% of US cities
Maplecrest has a diversity score of 23.5: 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. Maplecrest is about average for diversity versus other US cities, more diverse than 52% of them. Within Maplecrest's proper boundaries, the most diverse area is north Maplecrest, and the least diverse areas are in southwest Maplecrest.
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.