Race, Diversity, and Ethnicity in Newton, MS

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

Newton, 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 Newton overall is black, making up 57.3% of residents. The next most-common racial group is white at 40.4%. 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 southeast 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 Newton
Race
Newton, MS Population
White
40.4%
Hispanic
0.9%
Black
57.3%
Asian
0.2%
Native American
0.2%
Other
1.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Newton, MS Population
White
40.4%
Hispanic
0.9%
Black
57.3%
Asian
0.2%
Native American
0.2%
Other
1.0%
   

Diversity and Diversity Scores for Newton, MS

The map below shows diversity in Newton. 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.

Newton, MS map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Newton Diversity Score

63

With a diversity score of 63 out of 100, Newton is more diverse than other US cities. The most diverse area within Newton's proper boundaries is to the northwest of the city. The least diverse areas are located in the southeast parts of Newton.

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

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