North Springfield, VT
North Springfield, VT's wildfire risk, in USFS's own numbers
North Springfield's 474 buildings earn a 15th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, North Springfield's burn probability — fire likelihood with no building count factored in — sits at the 16th percentile nationally.
What "at risk" means for the buildings here
Indirect exposure is dominant in North Springfield (65.4% of 474 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 34.6% sit in the Direct zone.
How North Springfield compares
North Springfield's 48th-percentile standing inside Vermont outpaces its 15th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, North Springfield ranks 26,711 for wildfire risk (1 is highest) and 17,821 by building count (1 is largest). Within Vermont alone, it ranks 97 of 179 places by risk. See the full county-by-county picture for Vermont on its state page.
What this risk score means for insurance
North Springfield's low wildfire rating (15th 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.
What would actually reduce this score
With ember exposure the dominant pattern in North Springfield (65.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where North Springfield's figures come from
Every one of the two percentiles behind North Springfield's 26,711-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what North Springfield's dominant indirect exposure actually means, with real examples from across the dataset.