Race, Diversity, and Ethnicity in 57257, SD

The map below shows majority race by area in 57257, 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 57257 racial diversity and diversity scores. Click here to scroll to diversity data.

57257, 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 57257 overall is white, making up 47.9% of residents. The next most-common racial group is native american at 40.9%. There are more white people in the northeast areas of the zip. People who identify as native american are most likely to be living in the northwest 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 57257
Race
57257, SD Population
White
47.9%
Hispanic
6.3%
Black
0.8%
Asian
0.0%
Native American
40.9%
Other
4.1%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
57257, SD Population
White
47.9%
Hispanic
6.3%
Black
0.8%
Asian
0.0%
Native American
40.9%
Other
4.1%
   

Diversity and Diversity Scores for 57257, SD

The map below shows diversity in 57257. 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.

57257, SD map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

57257 Diversity Score

85

With a diversity score of 85 out of 100, 57257 is much more diverse than other US zip codes. The most diverse area within 57257's proper boundaries is to the south of the zip. The least diverse areas are located in the northwest parts of 57257.

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

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