Race, Diversity, and Ethnicity in Armour, SD

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

Armour, SD 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 Armour overall is white, making up 86.0% of residents. The next most-common racial group is other at 4.2%. There are more white people in the northwest areas of the city. People who identify as other are most likely to be living in the southwest 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 Armour
Race
Armour, SD Population
White
86.0%
Hispanic
2.0%
Black
4.1%
Asian
0.0%
Native American
3.7%
Other
4.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Armour, SD Population
White
86.0%
Hispanic
2.0%
Black
4.1%
Asian
0.0%
Native American
3.7%
Other
4.2%
   

Diversity and Diversity Scores for Armour, SD

The map below shows diversity in Armour. 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.

Armour, SD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Armour Diversity Score

70

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

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

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