Liscomb, IA
Liscomb, IA's wildfire risk, in USFS's own numbers
USFS scores Liscomb at the 47th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 218 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Liscomb at the 48th percentile, close to its 47th-percentile risk score.
Liscomb's building exposure, zone by zone
USFS classifies 69.7% of Liscomb's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 30.3% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Liscomb ranks
Liscomb's 63rd-percentile standing inside Iowa outpaces its 47th 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, Liscomb ranks 16,855 for wildfire risk (1 is highest) and 24,195 by building count (1 is largest). Within Iowa alone, it ranks 374 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
What this risk score means for insurance
Liscomb's elevated rating (47th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Even with 69.7% of Liscomb outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Liscomb's figures come from
The methodology guide shows exactly how USFS turned 218 counted buildings into the percentiles shown above for Liscomb. The exposure-zones guide covers what Liscomb's dominant minimal exposure actually means, with real examples from across the dataset.