Race, Diversity, and Ethnicity in Gum Neck, NC

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

Gum Neck, NC 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 Gum Neck overall is white, making up 81.2% of residents. The next most-common racial group is black at 12.9%. 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 Gum Neck
Race
Gum Neck, NC Population
White
81.2%
Hispanic
0.0%
Black
12.9%
Asian
0.0%
Native American
0.0%
Other
6.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Gum Neck, NC Population
White
81.2%
Hispanic
0.0%
Black
12.9%
Asian
0.0%
Native American
0.0%
Other
6.0%
   

Diversity and Diversity Scores for Gum Neck, NC

The map below shows diversity in Gum Neck. 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.

Gum Neck, NC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Gum Neck Diversity Score

66

With a diversity score of 66 out of 100, Gum Neck is more diverse than other US cities. The most diverse area within Gum Neck's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Gum Neck.

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

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