The map below shows majority race by area in Aspen 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 Aspen Hill racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Aspen Hill overall is hispanic, making up 36.5% of residents. The next most-common racial group is white at 30.9%. There are more hispanic people in the south areas of the city. People who identify as white are most likely to be living in the north 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 Aspen Hill
Self-Identified Race |
Aspen Hill, MD Population |
|---|---|
White |
30.9% |
Hispanic |
36.5% |
Black |
15.9% |
Asian |
9.0% |
Native American |
0.1% |
Other |
7.5% |
Diversity and Diversity Scores for Aspen Hill, MD
The map below shows diversity in Aspen 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.
Aspen Hill Diversity Score
73.2
More diverse than 100% of US cities
Aspen Hill has a diversity score of 73.2: 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. Aspen Hill is much more diverse than other US cities, more diverse than 100% of them. Within Aspen Hill's proper boundaries, the most diverse area is southwest Aspen Hill, and the least diverse areas are in north Aspen 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.