Race, Diversity, and Ethnicity in Avoca, AR

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

Avoca, 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 Avoca overall is white, making up 68.2% of residents. The next most-common racial group is hispanic at 16.9%. There are more white people in the west areas of the city. People who identify as hispanic 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 Avoca
Race
Avoca, AR Population
White
68.2%
Hispanic
16.9%
Black
0.1%
Asian
1.8%
Native American
0.0%
Other
13.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Avoca, AR Population
White
68.2%
Hispanic
16.9%
Black
0.1%
Asian
1.8%
Native American
0.0%
Other
13.1%
   

Diversity and Diversity Scores for Avoca, AR

The map below shows diversity in Avoca. 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.

Avoca, AR map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

Avoca Diversity Score

89

With a diversity score of 89 out of 100, Avoca is much more diverse than other US cities. The most diverse area within Avoca's proper boundaries is to the northeast of the city. The least diverse areas are located in the west parts of Avoca.

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

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