The map below shows majority race by area in Rabbit Town, 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 Rabbit Town racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Rabbit Town overall is white, making up 54.7% of residents. The next most-common racial group is hispanic at 15.2%. There are more white people in the northwest areas of the city. People who identify as hispanic are most likely to be living in the west 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 Rabbit Town
Self-Identified Race |
Rabbit Town, MD Population |
|---|---|
White |
54.7% |
Hispanic |
15.2% |
Black |
15.0% |
Asian |
0.0% |
Native American |
0.0% |
Other |
15.0% |
Diversity and Diversity Scores for Rabbit Town, MD
The map below shows diversity in Rabbit Town. 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.
Rabbit Town Diversity Score
63.2
More diverse than 96% of US cities
Rabbit Town has a diversity score of 63.2: 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. Rabbit Town is much more diverse than other US cities, more diverse than 96% of them. Within Rabbit Town's proper boundaries, the most diverse area is west Rabbit Town, and the least diverse areas are in north Rabbit Town.
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.