WildfireRiskFinder

Lannon, WI

Lannon wildfire risk explained

Moderate
37thpercentile nationally

Out of every US place USFS scores, Lannon lands at the 37th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 864 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 Lannon at the 39th percentile, close to its 37th-percentile risk score.

Lannon's building exposure, zone by zone

864Total buildings
36%Direct exposure
2.4%Indirect exposure
61.6%Minimal exposure

61.6% of Lannon's 864 buildings sit in USFS's Minimal exposure zone, with only 36% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

How Lannon compares

Within Wisconsin, Lannon ranks higher (88th percentile) than it does nationally (37th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Lannon ranks 19,811 for wildfire risk (1 is highest) and 13,044 by building count (1 is largest). Within Wisconsin alone, it ranks 103 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

What this risk score means for insurance

At the 37th national percentile, Lannon rates moderate 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 Lannon

Lannon's 61.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Lannon's figures come from

Lannon's 37th-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 Lannon's dominant minimal exposure actually means, with real examples from across the dataset.