The map below shows majority race by area in Locke 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 Locke Mills racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Locke Mills overall is white, making up 82.6% of residents. The next most-common racial group is black at 12.2%. There are more white people in the southwest areas of the city. People who identify as black are most likely to be living in the south 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 Locke Mills
Self-Identified Race |
Locke Mills, ME Population |
|---|---|
White |
82.6% |
Hispanic |
1.0% |
Black |
12.2% |
Asian |
0.0% |
Native American |
0.0% |
Other |
4.2% |
Diversity and Diversity Scores for Locke Mills, ME
The map below shows diversity in Locke 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.
Locke Mills Diversity Score
30.1
More diverse than 61% of US cities
Locke Mills has a diversity score of 30.1: 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. Locke Mills is more diverse than other US cities, more diverse than 61% of them. Within Locke Mills's proper boundaries, the most diverse area is northwest Locke Mills, and the least diverse areas are in southwest Locke 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.