Race, Diversity, and Ethnicity in Ashdown, AR

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

Ashdown, 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 Ashdown overall is white, making up 73.6% of residents. The next most-common racial group is black at 21.1%. There are more white people in the northeast areas of the city. People who identify as black are most likely to be living in the south 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 Ashdown
Race
Ashdown, AR Population
White
73.6%
Hispanic
0.2%
Black
21.1%
Asian
0.4%
Native American
0.1%
Other
4.7%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Ashdown, AR Population
White
73.6%
Hispanic
0.2%
Black
21.1%
Asian
0.4%
Native American
0.1%
Other
4.7%
   

Diversity and Diversity Scores for Ashdown, AR

The map below shows diversity in Ashdown. 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.

Ashdown, AR map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Ashdown Diversity Score

70

With a diversity score of 70 out of 100, Ashdown is more diverse than other US cities. The most diverse area within Ashdown's proper boundaries is to the southeast of the city. The least diverse areas are located in the northeast parts of Ashdown.

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

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