Race, Diversity, and Ethnicity in Sans Bois, OK

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

Sans Bois, OK 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 Sans Bois overall is white, making up 65.1% of residents. The next most-common racial group is other at 16.0%. There are more white people in the south areas of the city. People who identify as other 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 Sans Bois
Race
Sans Bois, OK Population
White
65.1%
Hispanic
1.6%
Black
5.0%
Asian
0.0%
Native American
12.3%
Other
16.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Sans Bois, OK Population
White
65.1%
Hispanic
1.6%
Black
5.0%
Asian
0.0%
Native American
12.3%
Other
16.0%
   

Diversity and Diversity Scores for Sans Bois, OK

The map below shows diversity in Sans Bois. 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.

Sans Bois, OK map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Sans Bois Diversity Score

96

With a diversity score of 96 out of 100, Sans Bois is much more diverse than other US cities. The most diverse area within Sans Bois's proper boundaries is to the north of the city. The least diverse areas are located in the south parts of Sans Bois.

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

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