Race, Diversity, and Ethnicity in Dog Bluff, SC

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

Dog Bluff, 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 Dog Bluff overall is white, making up 81.9% of residents. The next most-common racial group is black at 14.2%. 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 south 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 Dog Bluff
Race
Dog Bluff, SC Population
White
81.9%
Hispanic
2.5%
Black
14.2%
Asian
1.1%
Native American
0.0%
Other
0.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Dog Bluff, SC Population
White
81.9%
Hispanic
2.5%
Black
14.2%
Asian
1.1%
Native American
0.0%
Other
0.4%
   

Diversity and Diversity Scores for Dog Bluff, SC

The map below shows diversity in Dog Bluff. 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.

Dog Bluff, SC map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Dog Bluff Diversity Score

63

With a diversity score of 63 out of 100, Dog Bluff is more diverse than other US cities. The most diverse area within Dog Bluff's proper boundaries is to the central of the city. The least diverse areas are located in the north parts of Dog Bluff.

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

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