Race, Diversity, and Ethnicity in Sharkey, MS

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

Sharkey, MS 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 Sharkey overall is black, making up 98.4% of residents. The next most-common racial group is white at 1.6%. There are more black people in the east areas of the city. People who identify as white 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 Sharkey
Race
Sharkey, MS Population
White
1.6%
Hispanic
0.0%
Black
98.4%
Asian
0.0%
Native American
0.0%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Sharkey, MS Population
White
1.6%
Hispanic
0.0%
Black
98.4%
Asian
0.0%
Native American
0.0%
Other
0.0%
   

Diversity and Diversity Scores for Sharkey, MS

The map below shows diversity in Sharkey. 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.

Sharkey, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Sharkey Diversity Score

4

With a diversity score of 4 out of 100, Sharkey is much less diverse than other US cities. The most diverse area within Sharkey's proper boundaries is to the north of the city. The least diverse areas are located in the east parts of Sharkey.

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

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