Race, Diversity, and Ethnicity in 57584, SD

The map below shows majority race by area in 57584, 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 57584 racial diversity and diversity scores. Click here to scroll to diversity data.

57584, SD map of race and ethnicity
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White
Hispanic
Black
Asian
Multiple/Other
WhiteHispanicBlackAsianMultiple/Other
Majority race by area

The majority race in 57584 overall is white, making up 84.5% of residents. The next most-common racial group is native american at 10.1%. There are more white people in the central areas of the zip. People who identify as native american 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 57584
Race
57584, SD Population
White
84.5%
Hispanic
0.0%
Black
0.0%
Asian
0.0%
Native American
10.1%
Other
5.4%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
57584, SD Population
White
84.5%
Hispanic
0.0%
Black
0.0%
Asian
0.0%
Native American
10.1%
Other
5.4%
   

Diversity and Diversity Scores for 57584, SD

The map below shows diversity in 57584. 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.

57584, SD map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

57584 Diversity Score

52

With a diversity score of 52 out of 100, 57584 is about average for diversity versus other US zip codes. The most diverse area within 57584's proper boundaries is to the central of the zip. The least diverse areas are located in the central parts of 57584.

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

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