The map below shows majority race by area in Scaggsville, 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 Scaggsville racial diversity and diversity scores. Click here to scroll to diversity data.
The majority race in Scaggsville overall is white, making up 33.4% of residents. The next most-common racial group is black at 26.2%. There are more white people in the west areas of the city. People who identify as black are most likely to be living in the southeast 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 Scaggsville
Self-Identified Race |
Scaggsville, MD Population |
|---|---|
White |
33.4% |
Hispanic |
16.5% |
Black |
26.2% |
Asian |
17.8% |
Native American |
0.0% |
Other |
6.1% |
Diversity and Diversity Scores for Scaggsville, MD
The map below shows diversity in Scaggsville. 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.
Scaggsville Diversity Score
75.7
More diverse than 100% of US cities
Scaggsville has a diversity score of 75.7: 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. Scaggsville is much more diverse than other US cities, more diverse than 100% of them. Within Scaggsville's proper boundaries, the most diverse area is east Scaggsville, and the least diverse areas are in west Scaggsville.
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.