Race, Diversity, and Ethnicity in 26074, WV

The map below shows majority race by area in 26074, 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 26074 racial diversity and diversity scores. Click here to scroll to diversity data.

26074, WV map of race and ethnicity
Click the map to explore
White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 26074 overall is white, making up 89.1% of residents. The next most-common racial group is other at 5.5%. There are more white people in the southeast areas of the zip. People who identify as other are most likely to be living in the central 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 26074
Race
26074, WV Population
White
89.1%
Hispanic
2.4%
Black
2.7%
Asian
0.3%
Native American
0.0%
Other
5.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
26074, WV Population
White
89.1%
Hispanic
2.4%
Black
2.7%
Asian
0.3%
Native American
0.0%
Other
5.5%
   

Diversity and Diversity Scores for 26074, WV

The map below shows diversity in 26074. 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 zip would both be considered lacking diversity.

26074, WV map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

26074 Diversity Score

53

With a diversity score of 53 out of 100, 26074 is about average for diversity versus other US zip codes. The most diverse area within 26074's proper boundaries is to the central of the zip. The least diverse areas are located in the southeast parts of 26074.

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

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