The map below shows majority race by area in Marbletown, 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 Marbletown racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Marbletown overall is white, making up 77.8% of residents. The next most-common racial group is other at 9.5%. There are more white people in the southeast areas of the city. People who identify as other 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 Marbletown
Self-Identified Race |
Marbletown, NY Population |
|---|---|
White |
77.8% |
Hispanic |
8.7% |
Black |
3.1% |
Asian |
0.8% |
Native American |
0.0% |
Other |
9.5% |
Diversity and Diversity Scores for Marbletown, NY
The map below shows diversity in Marbletown. 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.
Marbletown Diversity Score
37.6
More diverse than 70% of US cities
Marbletown has a diversity score of 37.6: 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. Marbletown is more diverse than other US cities, more diverse than 70% of them. Within Marbletown's proper boundaries, the most diverse area is central Marbletown, and the least diverse areas are in southeast Marbletown.
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.