Race, Diversity, and Ethnicity in Van Wyck, SC

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

Van Wyck, SC 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 Van Wyck overall is white, making up 92.6% of residents. The next most-common racial group is black at 2.6%. There are more white people in the northeast 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 Van Wyck
Race
Van Wyck, SC Population
White
92.6%
Hispanic
0.2%
Black
2.6%
Asian
1.7%
Native American
0.5%
Other
2.3%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Van Wyck, SC Population
White
92.6%
Hispanic
0.2%
Black
2.6%
Asian
1.7%
Native American
0.5%
Other
2.3%
   

Diversity and Diversity Scores for Van Wyck, SC

The map below shows diversity in Van Wyck. 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.

Van Wyck, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Van Wyck Diversity Score

42

With a diversity score of 42 out of 100, Van Wyck is about average for diversity versus other US cities. The most diverse area within Van Wyck's proper boundaries is to the southwest of the city. The least diverse areas are located in the northeast parts of Van Wyck.

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

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