Race, Diversity, and Ethnicity in Tar River, NC

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

Tar River, 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 Tar River overall is white, making up 63.1% of residents. The next most-common racial group is black at 24.7%. There are more white people in the northwest 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 Tar River
Race
Tar River, NC Population
White
63.1%
Hispanic
9.7%
Black
24.7%
Asian
0.0%
Native American
0.2%
Other
2.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Tar River, NC Population
White
63.1%
Hispanic
9.7%
Black
24.7%
Asian
0.0%
Native American
0.2%
Other
2.3%
   

Diversity and Diversity Scores for Tar River, NC

The map below shows diversity in Tar River. 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.

Tar River, NC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Tar River Diversity Score

85

With a diversity score of 85 out of 100, Tar River is much more diverse than other US cities. The most diverse area within Tar River's proper boundaries is to the east of the city. The least diverse areas are located in the northwest parts of Tar River.

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

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