Race, Diversity, and Ethnicity in Gardner, AR

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

Gardner, AR 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 Gardner overall is black, making up 58.4% of residents. The next most-common racial group is white at 35.0%. 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 Gardner
Race
Gardner, AR Population
White
35.0%
Hispanic
0.3%
Black
58.4%
Asian
5.7%
Native American
0.2%
Other
0.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Gardner, AR Population
White
35.0%
Hispanic
0.3%
Black
58.4%
Asian
5.7%
Native American
0.2%
Other
0.4%
   

Diversity and Diversity Scores for Gardner, AR

The map below shows diversity in Gardner. 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.

Gardner, AR map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Gardner Diversity Score

87

With a diversity score of 87 out of 100, Gardner is much more diverse than other US cities. The most diverse area within Gardner's proper boundaries is to the central of the city. The least diverse areas are located in the central parts of Gardner.

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

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