The map below shows majority race by area in 57754, 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 57754 racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in 57754 overall is white, making up 91.4% of residents. The next most-common racial group is other at 4.3%. There are more white people in the southeast areas of the zip. People who identify as other are most likely to be living in the southeast 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 57754
Self-Identified Race |
57754, SD Population |
|---|---|
White |
91.4% |
Hispanic |
2.8% |
Black |
0.2% |
Asian |
0.0% |
Native American |
1.3% |
Other |
4.3% |
Diversity and Diversity Scores for 57754, SD
The map below shows diversity in 57754. 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
57754 Diversity Score
16.1
More diverse than 29% of US zip codes
57754 has a diversity score of 16.1: 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. 57754 is less diverse than other US zip codes, more diverse than 29% of them. Within 57754's proper boundaries, the most diverse area is southwest 57754, and the least diverse areas are in southeast 57754.
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.