Race, Diversity, and Ethnicity in Climax, VA

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

Climax, VA 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 Climax overall is white, making up 55.8% of residents. The next most-common racial group is black at 37.1%. There are more white people in the central areas of the city. People who identify as black 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 Climax
Race
Climax, VA Population
White
55.8%
Hispanic
5.1%
Black
37.1%
Asian
1.0%
Native American
0.0%
Other
1.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Climax, VA Population
White
55.8%
Hispanic
5.1%
Black
37.1%
Asian
1.0%
Native American
0.0%
Other
1.1%
   

Diversity and Diversity Scores for Climax, VA

The map below shows diversity in Climax. 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.

Climax, VA map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Climax Diversity Score

90

With a diversity score of 90 out of 100, Climax is much more diverse than other US cities. The most diverse area within Climax's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Climax.

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

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