Race, Diversity, and Ethnicity in Pine Lawn, MO

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

Pine Lawn, 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 Pine Lawn overall is black, making up 96.5% of residents. The next most-common racial group is white at 1.9%. There are more black people in the north areas of the city. People who identify as white are most likely to be living in the west 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 Pine Lawn
Race
Pine Lawn, MO Population
White
1.9%
Hispanic
1.1%
Black
96.5%
Asian
0.0%
Native American
0.0%
Other
0.5%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Pine Lawn, MO Population
White
1.9%
Hispanic
1.1%
Black
96.5%
Asian
0.0%
Native American
0.0%
Other
0.5%
   

Diversity and Diversity Scores for Pine Lawn, MO

The map below shows diversity in Pine Lawn. 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.

Pine Lawn, MO map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Pine Lawn Diversity Score

21

With a diversity score of 21 out of 100, Pine Lawn is less diverse than other US cities. The most diverse area within Pine Lawn's proper boundaries is to the southeast of the city. The least diverse areas are located in the north parts of Pine Lawn.

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

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