Race, Diversity, and Ethnicity in Landover, MD

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

Landover, 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 Landover overall is black, making up 73.0% of residents. The next most-common racial group is hispanic at 18.7%. There are more black people in the southeast areas of the city. People who identify as hispanic are most likely to be living in the southwest 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 Landover
Race
Landover, MD Population
White
2.9%
Hispanic
18.7%
Black
73.0%
Asian
2.6%
Native American
0.0%
Other
2.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Landover, MD Population
White
2.9%
Hispanic
18.7%
Black
73.0%
Asian
2.6%
Native American
0.0%
Other
2.7%
   

Diversity and Diversity Scores for Landover, MD

The map below shows diversity in Landover. 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.

Landover, MD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Landover Diversity Score

80

With a diversity score of 80 out of 100, Landover is much more diverse than other US cities. The most diverse area within Landover's proper boundaries is to the northeast of the city. The least diverse areas are located in the west parts of Landover.

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

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