Race, Diversity, and Ethnicity in Hack Point, MD

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

Hack Point, 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 Hack Point overall is white, making up 98.7% of residents. The next most-common racial group is black at 1.0%. There are more white people in the central 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 Hack Point
Race
Hack Point, MD Population
White
98.7%
Hispanic
0.2%
Black
1.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Hack Point, MD Population
White
98.7%
Hispanic
0.2%
Black
1.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Hack Point, MD

The map below shows diversity in Hack Point. 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.

Hack Point, MD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Hack Point Diversity Score

6

With a diversity score of 6 out of 100, Hack Point is much less diverse than other US cities. The most diverse area within Hack Point's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Hack Point.

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

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