New Milford, CT
New Milford wildfire risk explained
USFS scores New Milford at the 38th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 4,521 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 New Milford at the 37th percentile, close to its 38th-percentile risk score.
What "at risk" means for the buildings here
4,521 buildings are counted in New Milford, and 55.7% of them are Indirect exposure — ember-driven risk rather than the 44.3% in Direct exposure or the 0% rated Minimal.
New Milford against the rest of the country
Compare New Milford's two percentiles: 70th within Connecticut, only 38th nationally — a gap of 33 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, New Milford ranks 19,625 for wildfire risk (1 is highest) and 3,778 by building count (1 is largest). Within Connecticut alone, it ranks 64 of 214 places by risk. See the full county-by-county picture for Connecticut on its state page.
What this risk score means for insurance
At the 38th national percentile, New Milford rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because 55.7% of New Milford's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where New Milford's figures come from
Every one of the two percentiles behind New Milford's 19,625-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Milford's dominant indirect exposure actually means, with real examples from across the dataset.