Race, Diversity, and Ethnicity in Glen Arm, MD

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

Glen Arm, 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 Glen Arm overall is white, making up 90.7% of residents. The next most-common racial group is hispanic at 5.0%. There are more white people in the northwest 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 Glen Arm
Race
Glen Arm, MD Population
White
90.7%
Hispanic
5.0%
Black
2.8%
Asian
1.0%
Native American
0.3%
Other
0.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Glen Arm, MD Population
White
90.7%
Hispanic
5.0%
Black
2.8%
Asian
1.0%
Native American
0.3%
Other
0.3%
   

Diversity and Diversity Scores for Glen Arm, MD

The map below shows diversity in Glen Arm. 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.

Glen Arm, MD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Glen Arm Diversity Score

52

With a diversity score of 52 out of 100, Glen Arm is about average for diversity versus other US cities. The most diverse area within Glen Arm's proper boundaries is to the central of the city. The least diverse areas are located in the southeast parts of Glen Arm.

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

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