Race, Diversity, and Ethnicity in Castalia, NC

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

Castalia, 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 Castalia overall is black, making up 48.6% of residents. The next most-common racial group is white at 40.4%. There are more black people in the east areas of the city. People who identify as white are most likely to be living in the south 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 Castalia
Race
Castalia, NC Population
White
40.4%
Hispanic
6.7%
Black
48.6%
Asian
0.3%
Native American
1.5%
Other
2.6%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Castalia, NC Population
White
40.4%
Hispanic
6.7%
Black
48.6%
Asian
0.3%
Native American
1.5%
Other
2.6%
   

Diversity and Diversity Scores for Castalia, NC

The map below shows diversity in Castalia. 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.

Castalia, NC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Castalia Diversity Score

89

With a diversity score of 89 out of 100, Castalia is much more diverse than other US cities. The most diverse area within Castalia's proper boundaries is to the southeast of the city. The least diverse areas are located in the south parts of Castalia.

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

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