Race, Diversity, and Ethnicity in Ghent, Norfolk, VA

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

Ghent, Norfolk, 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 Ghent overall is white, making up 75.2% of residents. The next most-common racial group is black at 8.0%. There are more white people in the north areas of the neighborhood. People who identify as black are most likely to be living in the east 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 Ghent
Race
Ghent, Norfolk, VA Population
White
75.2%
Hispanic
8.0%
Black
8.0%
Asian
5.7%
Native American
0.1%
Other
3.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Ghent, Norfolk, VA Population
White
75.2%
Hispanic
8.0%
Black
8.0%
Asian
5.7%
Native American
0.1%
Other
3.0%
   

Diversity and Diversity Scores for Ghent, Norfolk, VA

The map below shows diversity in Ghent. 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 neighborhood would both be considered lacking diversity.

Ghent, Norfolk, VA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Ghent Diversity Score

42

With a diversity score of 42 out of 100, Ghent is about average for diversity versus other US neighborhoods. The most diverse area within Ghent's proper boundaries is to the northeast of the neighborhood. The least diverse areas are located in the north parts of Ghent.

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

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