Branchville, CT
Branchville, CT's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Branchville at the 41st national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 215 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Branchville at the 40th percentile, close to its 41st-percentile risk score.
Branchville's building exposure, zone by zone
Indirect exposure is dominant in Branchville (55.4% of 215 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 44.7% sit in the Direct zone.
Where Branchville ranks
Compare Branchville's two percentiles: 84th within Connecticut, only 41st nationally — a gap of 43 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Branchville ranks 18,553 for wildfire risk (1 is highest) and 24,299 by building count (1 is largest). Within Connecticut alone, it ranks 35 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 41st national percentile, Branchville rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Hardening a home in Branchville
Because 55.4% of Branchville'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 Branchville's figures come from
Every one of the two percentiles behind Branchville's 18,553-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Branchville's dominant indirect exposure actually means, with real examples from across the dataset.