Linden, WI
How exposed is Linden to wildfire?
Out of every US place USFS scores, Linden lands at the 28th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 318 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Linden at the 29th percentile, close to its 28th-percentile risk score.
Linden's building exposure, zone by zone
77% of Linden's 318 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 23% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Linden ranks
Linden's 57th-percentile standing inside Wisconsin outpaces its 28th 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, Linden ranks 22,708 for wildfire risk (1 is highest) and 21,170 by building count (1 is largest). Within Wisconsin alone, it ranks 342 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
Shopping for coverage in Linden
At the 28th national percentile, Linden rates moderate 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
Linden's 77% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Linden's figures come from
Every one of the two percentiles behind Linden's 22,708-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Linden's dominant indirect exposure actually means, with real examples from across the dataset.