Amery, WI
How exposed is Amery to wildfire?
Out of every US place USFS scores, Amery lands at the 25th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,527 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Amery at the 26th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Amery's building exposure, zone by zone
Most of Amery's buildings (58.3%) 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.
How Amery compares
Compare Amery's two percentiles: 50th within Wisconsin, only 25th nationally — a gap of 25 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Amery ranks 23,591 for wildfire risk (1 is highest) and 9,054 by building count (1 is largest). Within Wisconsin alone, it ranks 405 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Amery
At the 25th national percentile, Amery 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
With ember exposure the dominant pattern in Amery (58.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Amery's figures come from
Every one of the two percentiles behind Amery's 23,591-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Amery's dominant indirect exposure actually means, with real examples from across the dataset.