Race, Diversity, and Ethnicity in Sand Fork, WV

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

Sand Fork, WV 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 Sand Fork overall is other, making up 85.7% of residents. The next most-common racial group is white at 9.8%. There are more other people in the north areas of the city. People who identify as white 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 Sand Fork
Race
Sand Fork, WV Population
White
9.8%
Hispanic
0.8%
Black
3.6%
Asian
0.1%
Native American
0.1%
Other
85.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Sand Fork, WV Population
White
9.8%
Hispanic
0.8%
Black
3.6%
Asian
0.1%
Native American
0.1%
Other
85.7%
   

Diversity and Diversity Scores for Sand Fork, WV

The map below shows diversity in Sand Fork. 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.

Sand Fork, WV map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Sand Fork Diversity Score

26

With a diversity score of 26 out of 100, Sand Fork is less diverse than other US cities. The most diverse area within Sand Fork's proper boundaries is to the south of the city. The least diverse areas are located in the northwest parts of Sand Fork.

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

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