The map below shows majority race by area in Accident, 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 Accident racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Accident overall is white, making up 91.4% of residents. The next most-common racial group is other at 4.7%. There are more white people in the southeast areas of the city. People who identify as other 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 Accident
Self-Identified Race |
Accident, MD Population |
|---|---|
White |
91.4% |
Hispanic |
2.7% |
Black |
0.8% |
Asian |
0.4% |
Native American |
0.0% |
Other |
4.7% |
Diversity and Diversity Scores for Accident, MD
The map below shows diversity in Accident. 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.
Accident Diversity Score
16.2
More diverse than 36% of US cities
Accident has a diversity score of 16.2: 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. Accident is less diverse than other US cities, more diverse than 36% of them. Within Accident's proper boundaries, the most diverse area is southwest Accident, and the least diverse areas are in southeast Accident.
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.