Race, Diversity, and Ethnicity in Jeffries, MS

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

Jeffries, MS 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 Jeffries overall is black, making up 77.0% of residents. The next most-common racial group is white at 18.6%. There are more black people in the central areas of the city. People who identify as white 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 Jeffries
Race
Jeffries, MS Population
White
18.6%
Hispanic
4.4%
Black
77.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Jeffries, MS Population
White
18.6%
Hispanic
4.4%
Black
77.0%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Jeffries, MS

The map below shows diversity in Jeffries. 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.

Jeffries, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Jeffries Diversity Score

67

With a diversity score of 67 out of 100, Jeffries is more diverse than other US cities. The most diverse area within Jeffries's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Jeffries.

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

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