Race, Diversity, and Ethnicity in Bertrand, MO

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

Bertrand, MO 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 Bertrand overall is white, making up 80.2% of residents. The next most-common racial group is black at 10.8%. There are more white people in the northwest 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 Bertrand
Race
Bertrand, MO Population
White
80.2%
Hispanic
4.1%
Black
10.8%
Asian
0.0%
Native American
0.5%
Other
4.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Bertrand, MO Population
White
80.2%
Hispanic
4.1%
Black
10.8%
Asian
0.0%
Native American
0.5%
Other
4.4%
   

Diversity and Diversity Scores for Bertrand, MO

The map below shows diversity in Bertrand. 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.

Bertrand, MO map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Bertrand Diversity Score

75

With a diversity score of 75 out of 100, Bertrand is more diverse than other US cities. The most diverse area within Bertrand's proper boundaries is to the south of the city. The least diverse areas are located in the northwest parts of Bertrand.

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

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