Race, Diversity, and Ethnicity in Suitland, MD

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

Suitland, 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 Suitland overall is black, making up 88.7% of residents. The next most-common racial group is hispanic at 6.1%. There are more black people in the west areas of the city. People who identify as hispanic 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 Suitland
Race
Suitland, MD Population
White
1.8%
Hispanic
6.1%
Black
88.7%
Asian
1.2%
Native American
0.0%
Other
2.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Suitland, MD Population
White
1.8%
Hispanic
6.1%
Black
88.7%
Asian
1.2%
Native American
0.0%
Other
2.2%
   

Diversity and Diversity Scores for Suitland, MD

The map below shows diversity in Suitland. 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.

Suitland, MD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Suitland Diversity Score

54

With a diversity score of 54 out of 100, Suitland is about average for diversity versus other US cities. The most diverse area within Suitland's proper boundaries is to the south of the city. The least diverse areas are located in the west parts of Suitland.

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

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