Race, Diversity, and Ethnicity in Pitt County, NC

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

Pitt County, 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 Pitt County overall is white, making up 53.5% of residents. The next most-common racial group is black at 35.3%. There are more white people in the east areas of the county. People who identify as black are most likely to be living in the north 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 Pitt County
Race
Pitt County, NC Population
White
53.5%
Hispanic
5.9%
Black
35.3%
Asian
1.8%
Native American
0.2%
Other
3.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Pitt County, NC Population
White
53.5%
Hispanic
5.9%
Black
35.3%
Asian
1.8%
Native American
0.2%
Other
3.3%
   

Diversity and Diversity Scores for Pitt County, NC

The map below shows diversity in Pitt County. 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 county would both be considered lacking diversity.

Pitt County, NC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Pitt County Diversity Score

89

With a diversity score of 89 out of 100, Pitt County is much more diverse than other US counties. The most diverse area within Pitt County's proper boundaries is to the southeast of the county. The least diverse areas are located in the central parts of Pitt County.

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

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