Race, Diversity, and Ethnicity in Red Lick, MS

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

Red Lick, 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 Red Lick overall is black, making up 98.6% of residents. The next most-common racial group is white at 1.4%. 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 Red Lick
Race
Red Lick, MS Population
White
1.4%
Hispanic
0.0%
Black
98.6%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Red Lick, MS Population
White
1.4%
Hispanic
0.0%
Black
98.6%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Red Lick, MS

The map below shows diversity in Red Lick. 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.

Red Lick, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Red Lick Diversity Score

5

With a diversity score of 5 out of 100, Red Lick is much less diverse than other US cities. The most diverse area within Red Lick's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Red Lick.

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

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