Race, Diversity, and Ethnicity in Shady Side, MD

The map below shows majority race by area in Shady Side, 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 Shady Side racial diversity and diversity scores. Click here to scroll to diversity data.

Shady Side, MD map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in Shady Side overall is white, making up 73.0% of residents. The next most-common racial group is black at 20.1%. 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 northeast 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 Shady Side
Race
Shady Side, MD Population
White
73.0%
Hispanic
2.4%
Black
20.1%
Asian
0.4%
Native American
0.0%
Other
4.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Shady Side, MD Population
White
73.0%
Hispanic
2.4%
Black
20.1%
Asian
0.4%
Native American
0.0%
Other
4.1%
   

Diversity and Diversity Scores for Shady Side, MD

The map below shows diversity in Shady Side. 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.

Shady Side, MD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Shady Side Diversity Score

78

With a diversity score of 78 out of 100, Shady Side is more diverse than other US cities. The most diverse area within Shady Side's proper boundaries is to the east of the city. The least diverse areas are located in the west parts of Shady Side.

Data Sources: U.S. Census, proprietary data mapping and analysis. Special thanks to the University of Virginia.

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