Hatfield, MA
Hatfield wildfire risk explained
USFS scores Hatfield at the 20th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 939 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hatfield at the 18th percentile, close to its 20th-percentile risk score.
Where Hatfield's buildings actually sit
Of Hatfield's 939 counted buildings, 39.6% carry Direct exposure and only 29.3% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Hatfield against the rest of the country
Hatfield's risk sits at a similar level relative to Massachusetts (22nd percentile statewide) as it does nationally (20th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Hatfield ranks 25,182 for wildfire risk (1 is highest) and 12,401 by building count (1 is largest). Within Massachusetts alone, it ranks 193 of 248 places by risk. See the full county-by-county picture for Massachusetts on its state page.
Shopping for coverage in Hatfield
Hatfield's moderate wildfire rating (20th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Because Direct exposure dominates in Hatfield (39.6%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Hatfield's figures come from
Every one of the two percentiles behind Hatfield's 25,182-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hatfield's dominant direct exposure actually means, with real examples from across the dataset.