Race, Diversity, and Ethnicity in Mcdaniel, MD

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

Mcdaniel, 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 Mcdaniel overall is white, making up 92.7% of residents. The next most-common racial group is asian at 4.0%. There are more white people in the central areas of the city. People who identify as asian 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 Mcdaniel
Race
Mcdaniel, MD Population
White
92.7%
Hispanic
0.0%
Black
1.8%
Asian
4.0%
Native American
0.0%
Other
1.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Mcdaniel, MD Population
White
92.7%
Hispanic
0.0%
Black
1.8%
Asian
4.0%
Native American
0.0%
Other
1.4%
   

Diversity and Diversity Scores for Mcdaniel, MD

The map below shows diversity in Mcdaniel. 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.

Mcdaniel, MD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Mcdaniel Diversity Score

46

With a diversity score of 46 out of 100, Mcdaniel is about average for diversity versus other US cities. The most diverse area within Mcdaniel's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Mcdaniel.

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

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