Hinesburg, VT
How exposed is Hinesburg to wildfire?
USFS's Wildfire Risk to Communities model puts Hinesburg at the 20th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 320 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 Hinesburg at the 21st percentile, close to its 20th-percentile risk score.
Hinesburg's building exposure, zone by zone
Most of Hinesburg's buildings (64.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Hinesburg against the rest of the country
Within Vermont, Hinesburg ranks higher (90th percentile) than it does nationally (20th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Hinesburg ranks 25,286 for wildfire risk (1 is highest) and 21,104 by building count (1 is largest). Within Vermont alone, it ranks 19 of 179 places by risk. See the full county-by-county picture for Vermont on its state page.
Shopping for coverage in Hinesburg
At the 20th national percentile, Hinesburg rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With ember exposure the dominant pattern in Hinesburg (64.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Hinesburg's figures come from
Every one of the two percentiles behind Hinesburg's 25,286-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Hinesburg's dominant indirect exposure actually means, with real examples from across the dataset.