Race, Diversity, and Ethnicity in Lee Mont, VA

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

Lee Mont, VA 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 Lee Mont overall is white, making up 69.9% of residents. The next most-common racial group is black at 23.8%. There are more white people in the east areas of the city. People who identify as black 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 Lee Mont
Race
Lee Mont, VA Population
White
69.9%
Hispanic
4.3%
Black
23.8%
Asian
0.3%
Native American
0.0%
Other
1.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Lee Mont, VA Population
White
69.9%
Hispanic
4.3%
Black
23.8%
Asian
0.3%
Native American
0.0%
Other
1.7%
   

Diversity and Diversity Scores for Lee Mont, VA

The map below shows diversity in Lee Mont. 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.

Lee Mont, VA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Lee Mont Diversity Score

76

With a diversity score of 76 out of 100, Lee Mont is more diverse than other US cities. The most diverse area within Lee Mont's proper boundaries is to the central of the city. The least diverse areas are located in the east parts of Lee Mont.

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

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