Race, Diversity, and Ethnicity in Tuckahoe, VA

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

Tuckahoe, 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 Tuckahoe overall is white, making up 74.5% of residents. The next most-common racial group is black at 8.8%. There are more white people in the south areas of the city. People who identify as black are most likely to be living in the northwest 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 Tuckahoe
Race
Tuckahoe, VA Population
White
74.5%
Hispanic
5.7%
Black
8.8%
Asian
5.7%
Native American
0.0%
Other
5.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Tuckahoe, VA Population
White
74.5%
Hispanic
5.7%
Black
8.8%
Asian
5.7%
Native American
0.0%
Other
5.3%
   

Diversity and Diversity Scores for Tuckahoe, VA

The map below shows diversity in Tuckahoe. 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.

Tuckahoe, VA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Tuckahoe Diversity Score

87

With a diversity score of 87 out of 100, Tuckahoe is much more diverse than other US cities. The most diverse area within Tuckahoe's proper boundaries is to the north of the city. The least diverse areas are located in the south parts of Tuckahoe.

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

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