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Healthiest Communities in South Dakota
Top 50 healthiest communities in america by zip code in South Dakota. ZIP-level data from CDC PLACES.
Top 50
| # | ZIP Code | City / Suburb | Obesity Rate |
|---|---|---|---|
| 1 | 57799 | Spearfish | 20.0% |
| 2 | 57706 | Box Elder | 24.6% |
| 3 | 57197 | Sioux Falls | 25.1% |
| 4 | 57007 | Brookings | 26.6% |
| 5 | 57792 | — | 28.2% |
| 6 | 57049 | North Sioux City | 30.3% |
| 7 | 57767 | — | 30.6% |
| 8 | 57758 | — | 31.1% |
| 9 | 57702 | Rapid City | 31.4% |
| 10 | 57718 | Blackhawk | 31.6% |
| 11 | 57769 | Piedmont | 31.6% |
| 12 | 57787 | — | 31.7% |
| 13 | 57016 | Chester | 31.8% |
| 14 | 57785 | Sturgis | 31.8% |
| 15 | 57075 | Lake Madison | 32.0% |
| 16 | 57741 | — | 32.0% |
| 17 | 57001 | Alcester | 32.1% |
| 18 | 57783 | Spearfish | 32.1% |
| 19 | 57791 | Wasta | 32.1% |
| 20 | 57017 | Colman | 32.2% |
| 21 | 57025 | Richland | 32.3% |
| 22 | 57042 | Madison | 32.3% |
| 23 | 57386 | Yale | 32.3% |
| 24 | 57751 | Keystone | 32.3% |
| 25 | 57779 | St. Onge | 32.3% |
| 26 | 57793 | Spearfish | 32.3% |
| 27 | 57038 | Jefferson | 32.7% |
| 28 | 57745 | Hill City | 32.7% |
| 29 | 57052 | Tschetter Colony | 32.8% |
| 30 | 57218 | Brandt | 32.8% |
| 31 | 57057 | — | 32.9% |
| 32 | 57322 | Shamrock Colony | 32.9% |
| 33 | 57065 | Trent | 33.0% |
| 34 | 57237 | Gary | 33.0% |
| 35 | 57271 | Vienna | 33.0% |
| 36 | 57043 | Marion | 33.2% |
| 37 | 57522 | Blunt | 33.2% |
| 38 | 57775 | Quinn | 33.2% |
| 39 | 57251 | Marvin | 33.4% |
| 40 | 57428 | Bowdle | 33.4% |
| 41 | 57719 | Box Elder | 33.4% |
| 42 | 57238 | Kranzburg | 33.5% |
| 43 | 57021 | Davis | 33.6% |
| 44 | 57219 | Bristol | 33.6% |
| 45 | 57261 | Roslyn | 33.6% |
| 46 | 57472 | Selby | 33.6% |
| 47 | 57536 | Harrold | 33.6% |
| 48 | 57632 | Herreid | 33.6% |
| 49 | 57646 | Mound City | 33.6% |
| 50 | 57761 | New Underwood | 33.6% |
Methodology
This ranking is based on CDC PLACES data, scoped to South Dakota ZIP codes. Up to 50 ZIP codes are listed, ordered by obesity rate. Data is refreshed periodically. See our methodology page for full details on data sources and update frequency.