Lehigh, IA
Lehigh, IA's wildfire risk, in USFS's own numbers
Lehigh sits at the 35th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 377 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lehigh at the 35th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Lehigh's building exposure, zone by zone
USFS classifies 65.3% of Lehigh's buildings as Direct exposure, higher than its 34.8% Indirect share and far above its 0% Minimal share — a profile where 246 structures sit close enough to vegetation that lot clearing matters most.
Where Lehigh ranks
Lehigh's risk sits at a similar level relative to Iowa (50th percentile statewide) as it does nationally (35th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Lehigh ranks 20,481 for wildfire risk (1 is highest) and 19,717 by building count (1 is largest). Within Iowa alone, it ranks 511 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Shopping for coverage in Lehigh
At the 35th national percentile, Lehigh 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
Lehigh's 65.3% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Lehigh's figures come from
Every one of the two percentiles behind Lehigh's 20,481-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lehigh's dominant direct exposure actually means, with real examples from across the dataset.