The map below shows majority race by area in 57794, 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 57794 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 57794 overall is native american, making up 99.0% of residents. The next most-common racial group is white at 0.8%. There are more native american people in the central areas of the zip. People who identify as white are most likely to be living in the south 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 57794
Self-Identified Race |
57794, SD Population |
|---|---|
White |
0.8% |
Hispanic |
0.2% |
Black |
0.0% |
Asian |
0.0% |
Native American |
99.0% |
Other |
0.0% |
Diversity and Diversity Scores for 57794, SD
The map below shows diversity in 57794. 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.
Less diverse
More diverse
Colorblind friendly
off
57794 Diversity Score
2.1
More diverse than 2% of US zip codes
57794 has a diversity score of 2.1: the chance, in percent, that two residents picked at random belong to different racial or ethnic groups, from ACS race counts. A place where everyone shares one group scores 0, and an even mix of the six groups in the chart above scores the maximum, 83.3. 57794 is much less diverse than other US zip codes, more diverse than 2% of them. Within 57794's proper boundaries, the most diverse area is south 57794, and the least diverse areas are in central 57794.
Source: BestNeighborhood calculations from the U.S. Census Bureau, American Community Survey (ACS) 2020-2024 5-year estimates (race and Hispanic origin); proprietary data mapping and analysis. Special thanks to the University of Virginia.