The map below shows majority race by area in Dublin Mills, 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 Dublin Mills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Dublin Mills overall is white, making up 96.0% of residents. The next most-common racial group is other at 3.1%. There are more white people in the south areas of the city. People who identify as other 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 Dublin Mills
Self-Identified Race |
Dublin Mills, PA Population |
|---|---|
White |
96.0% |
Hispanic |
0.7% |
Black |
0.0% |
Asian |
0.1% |
Native American |
0.1% |
Other |
3.1% |
Diversity and Diversity Scores for Dublin Mills, PA
The map below shows diversity in Dublin Mills. 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.
Dublin Mills Diversity Score
7.7
More diverse than 13% of US cities
Dublin Mills has a diversity score of 7.7: 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. Dublin Mills is much less diverse than other US cities, more diverse than 13% of them. Within Dublin Mills's proper boundaries, the most diverse area is east Dublin Mills, and the least diverse areas are in south Dublin Mills.
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.