Race, Diversity, and Ethnicity in 57764, SD

The map below shows majority race by area in 57764, 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 57764 racial diversity and diversity scores. Click here to scroll to diversity data.

57764, 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 57764 overall is native american, making up 89.8% of residents. The next most-common racial group is hispanic at 7.7%. There are more native american people in the central areas of the zip. 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 57764
Race
57764, SD Population
White
2.5%
Hispanic
7.7%
Black
0.0%
Asian
0.0%
Native American
89.8%
Other
0.0%
 

Racial Distribution Key

White
Hispanic
Black
Asian
Native American
Other
 
Self-Identified Race
57764, SD Population
White
2.5%
Hispanic
7.7%
Black
0.0%
Asian
0.0%
Native American
89.8%
Other
0.0%
   

Diversity and Diversity Scores for 57764, SD

The map below shows diversity in 57764. 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.

57764, SD map of race and ethnicity
Click the map to explore

Diversity Score

Diverse
Moderately diverse
No diversity
 

57764 Diversity Score

36

With a diversity score of 36 out of 100, 57764 is less diverse than other US zip codes. The most diverse area within 57764's proper boundaries is to the central of the zip. The least diverse areas are located in the central parts of 57764.

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

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