The map below shows majority race by area in Thunder Butte, 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 Thunder Butte racial diversity and diversity scores. Click here to scroll to diversity data.
WhiteHispanicBlackAsianMultiple/Other
Majority race by area
The majority race in Thunder Butte overall is native american, making up 61.1% of residents. The next most-common racial group is white at 34.7%. There are more native american people in the east areas of the city. People who identify as white are most likely to be living in the east 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 Thunder Butte
Self-Identified Race |
Thunder Butte, SD Population |
|---|---|
White |
34.7% |
Hispanic |
1.0% |
Black |
0.0% |
Asian |
0.0% |
Native American |
61.1% |
Other |
3.2% |
Diversity and Diversity Scores for Thunder Butte, SD
The map below shows diversity in Thunder Butte. 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 city would both be considered lacking diversity.
Less diverse
More diverse
Colorblind friendly
off
Thunder Butte Diversity Score
50.5
More diverse than 84% of US cities
Thunder Butte has a diversity score of 50.5: 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. Thunder Butte is much more diverse than other US cities, more diverse than 84% of them.
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.