Rutland, VT
Rutland, VT's wildfire risk, in USFS's own numbers
Rutland's 6,986 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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rutland at the 15th percentile, close to its 15th-percentile risk score.
Rutland's building exposure, zone by zone
Indirect exposure is dominant in Rutland (87.9% of 6,986 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 8.1% sit in the Direct zone. At 6,986 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Rutland compares
Rutland's 42nd-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, Rutland ranks 26,804 for wildfire risk (1 is highest) and 2,473 by building count (1 is largest). Within Vermont alone, it ranks 105 of 179 places by risk. See the full county-by-county picture for Vermont on its state page.
Rutland and the insurance market
Rutland's low rating (15th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Rutland
Because 87.9% of Rutland'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 Rutland's figures come from
Rutland's 15th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Rutland's dominant indirect exposure actually means, with real examples from across the dataset.