The map below shows majority race by area in Hanscom Afb, 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 Hanscom Afb racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Hanscom Afb overall is white, making up 35.9% of residents. The next most-common racial group is hispanic at 34.3%. There are more white people in the north areas of the city. People who identify as hispanic 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 Hanscom Afb
Self-Identified Race |
Hanscom Afb, MA Population |
|---|---|
White |
35.9% |
Hispanic |
34.3% |
Black |
1.2% |
Asian |
21.5% |
Native American |
0.0% |
Other |
7.1% |
Diversity and Diversity Scores for Hanscom Afb, MA
The map below shows diversity in Hanscom Afb. 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.
Hanscom Afb Diversity Score
70.2
More diverse than 99% of US cities
Hanscom Afb has a diversity score of 70.2: 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. Hanscom Afb is much more diverse than other US cities, more diverse than 99% of them. Within Hanscom Afb's proper boundaries, the most diverse area is southeast Hanscom Afb, and the least diverse areas are in north Hanscom Afb.
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.