The map below shows majority race by area in Berkshire, 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 Berkshire racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Berkshire overall is white, making up 86.3% of residents. The next most-common racial group is asian at 8.8%. There are more white people in the south areas of the city. People who identify as asian 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 Berkshire
Self-Identified Race |
Berkshire, MA Population |
|---|---|
White |
86.3% |
Hispanic |
0.1% |
Black |
2.8% |
Asian |
8.8% |
Native American |
0.0% |
Other |
1.9% |
Diversity and Diversity Scores for Berkshire, MA
The map below shows diversity in Berkshire. 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.
Berkshire Diversity Score
24.6
More diverse than 54% of US cities
Berkshire has a diversity score of 24.6: 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. Berkshire is about average for diversity versus other US cities, more diverse than 54% of them. Within Berkshire's proper boundaries, the most diverse area is northeast Berkshire, and the least diverse areas are in south Berkshire.
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.