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Unhealthiest Communities in New Hampshire
Top 50 unhealthiest communities in america by zip code in New Hampshire. ZIP-level data from CDC PLACES.
Top 50
| # | ZIP Code | City / Suburb | Obesity Rate |
|---|---|---|---|
| 1 | 03590 | — | 38.9% |
| 2 | 03570 | Berlin | 38.7% |
| 3 | 03582 | Groveton | 38.7% |
| 4 | 03592 | — | 37.9% |
| 5 | 03576 | Colebrook | 37.3% |
| 6 | 03103 | Manchester | 37.2% |
| 7 | 03231 | — | 37.0% |
| 8 | 03835 | Farmington | 36.8% |
| 9 | 03101 | Manchester | 36.7% |
| 10 | 03275 | Suncook | 36.4% |
| 11 | 03597 | West Stewartstown | 36.4% |
| 12 | 03263 | Pittsfield | 36.2% |
| 13 | 03584 | Lancaster | 35.9% |
| 14 | 03230 | — | 35.7% |
| 15 | 03851 | Milton | 35.7% |
| 16 | 03060 | Nashua | 35.6% |
| 17 | 03048 | Greenville | 35.5% |
| 18 | 03244 | Hillsborough | 35.5% |
| 19 | 03588 | — | 35.5% |
| 20 | 03852 | Milton Mills | 35.5% |
| 21 | 03307 | Loudon | 35.4% |
| 22 | 03440 | Antrim | 35.4% |
| 23 | 03603 | Charlestown | 35.4% |
| 24 | 03867 | Rochester | 35.4% |
| 25 | 03043 | Francestown | 35.3% |
| 26 | 03047 | — | 35.3% |
| 27 | 03077 | Raymond | 35.1% |
| 28 | 03235 | Franklin | 35.1% |
| 29 | 03243 | — | 35.1% |
| 30 | 03442 | Bennington | 35.1% |
| 31 | 03598 | Whitefield | 35.1% |
| 32 | 03743 | Claremont | 35.1% |
| 33 | 03287 | — | 35.0% |
| 34 | 03839 | Rochester | 35.0% |
| 35 | 03216 | — | 34.7% |
| 36 | 03878 | Somersworth | 34.6% |
| 37 | 03064 | Nashua | 34.5% |
| 38 | 03082 | — | 34.5% |
| 39 | 03303 | Concord | 34.5% |
| 40 | 03581 | Gorham | 34.5% |
| 41 | 03884 | — | 34.5% |
| 42 | 03268 | — | 34.3% |
| 43 | 03102 | Manchester | 34.2% |
| 44 | 03773 | Newport | 34.2% |
| 45 | 03855 | — | 34.2% |
| 46 | 03874 | Seabrook Beach | 34.1% |
| 47 | 03887 | Union | 34.1% |
| 48 | 03441 | — | 34.0% |
| 49 | 03819 | — | 33.9% |
| 50 | 03873 | — | 33.9% |
Methodology
This ranking is based on CDC PLACES data, scoped to New Hampshire 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.