Race, Diversity, and Ethnicity in Callands, VA

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

Callands, VA 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 Callands overall is white, making up 80.9% of residents. The next most-common racial group is black at 16.2%. There are more white people in the north areas of the city. People who identify as black are most likely to be living in the southeast 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 Callands
Race
Callands, VA Population
White
80.9%
Hispanic
0.1%
Black
16.2%
Asian
0.0%
Native American
0.1%
Other
2.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Callands, VA Population
White
80.9%
Hispanic
0.1%
Black
16.2%
Asian
0.0%
Native American
0.1%
Other
2.7%
   

Diversity and Diversity Scores for Callands, VA

The map below shows diversity in Callands. 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.

Callands, VA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Callands Diversity Score

55

With a diversity score of 55 out of 100, Callands is about average for diversity versus other US cities. The most diverse area within Callands's proper boundaries is to the southeast of the city. The least diverse areas are located in the north parts of Callands.

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

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