WildfireRiskFinder

Lena, WI

Lena, WI's wildfire risk, in USFS's own numbers

Low
16thpercentile nationally

Out of every US place USFS scores, Lena lands at the 16th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 406 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 Lena at the 17th percentile, close to its 16th-percentile risk score.

Where Lena's buildings actually sit

406Total buildings
16.8%Direct exposure
83.3%Indirect exposure
0%Minimal exposure

USFS puts 83.3% of Lena's 406 buildings in the Indirect exposure zone, versus 16.8% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

Where Lena ranks

Lena's risk sits at a similar level relative to Wisconsin (21st percentile statewide) as it does nationally (16th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Lena ranks 26,364 for wildfire risk (1 is highest) and 19,113 by building count (1 is largest). Within Wisconsin alone, it ranks 639 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

Lena's low rating (16th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

With ember exposure the dominant pattern in Lena (83.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Lena's figures come from

Every one of the two percentiles behind Lena's 26,364-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lena's dominant indirect exposure actually means, with real examples from across the dataset.