Race, Diversity, and Ethnicity in Robat, SC

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

Robat, SC 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 Robat overall is white, making up 82.3% of residents. The next most-common racial group is black at 11.5%. 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 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 Robat
Race
Robat, SC Population
White
82.3%
Hispanic
0.4%
Black
11.5%
Asian
0.0%
Native American
0.0%
Other
5.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Robat, SC Population
White
82.3%
Hispanic
0.4%
Black
11.5%
Asian
0.0%
Native American
0.0%
Other
5.8%
   

Diversity and Diversity Scores for Robat, SC

The map below shows diversity in Robat. 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.

Robat, SC map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Robat Diversity Score

54

With a diversity score of 54 out of 100, Robat is about average for diversity versus other US cities. The most diverse area within Robat's proper boundaries is to the east of the city. The least diverse areas are located in the north parts of Robat.

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

Home Services