Race, Diversity, and Ethnicity in 57636, SD

The map below shows majority race by area in 57636, 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 57636 racial diversity and diversity scores. Click here to scroll to diversity data.

57636, 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 57636 overall is native american, making up 82.3% of residents. The next most-common racial group is white at 13.7%. There are more native american people in the east areas of the zip. People who identify as white are most likely to be living in the east 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 57636
Race
57636, SD Population
White
13.7%
Hispanic
1.5%
Black
0.0%
Asian
0.4%
Native American
82.3%
Other
2.2%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
57636, SD Population
White
13.7%
Hispanic
1.5%
Black
0.0%
Asian
0.4%
Native American
82.3%
Other
2.2%
   

Diversity and Diversity Scores for 57636, SD

The map below shows diversity in 57636. 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 zip would both be considered lacking diversity.

57636, SD map of race and ethnicity
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Diversity Score

Diverse
Moderately diverse
No diversity
 

57636 Diversity Score

56

With a diversity score of 56 out of 100, 57636 is about average for diversity versus other US zip codes. The most diverse area within 57636's proper boundaries is to the east of the zip. The least diverse areas are located in the east parts of 57636.

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

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