Race, Diversity, and Ethnicity in Artesian, SD

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

Artesian, 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 Artesian overall is white, making up 94.7% of residents. The next most-common racial group is hispanic at 3.1%. 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 Artesian
Race
Artesian, SD Population
White
94.7%
Hispanic
3.1%
Black
0.0%
Asian
0.1%
Native American
1.2%
Other
0.8%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
Artesian, SD Population
White
94.7%
Hispanic
3.1%
Black
0.0%
Asian
0.1%
Native American
1.2%
Other
0.8%
   

Diversity and Diversity Scores for Artesian, SD

The map below shows diversity in Artesian. 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.

Artesian, SD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

Artesian Diversity Score

33

With a diversity score of 33 out of 100, Artesian is less diverse than other US cities. The most diverse area within Artesian's proper boundaries is to the west of the city. The least diverse areas are located in the central parts of Artesian.

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

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