Mondamin, IA
Mondamin, IA's wildfire risk, in USFS's own numbers
Mondamin sits at the 51st percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 304 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mondamin's burn probability — fire likelihood with no building count factored in — sits at the 46th percentile nationally.
What "at risk" means for the buildings here
Most of Mondamin's buildings (92.1% of 304) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Mondamin compares
Within Iowa, Mondamin ranks higher (70th percentile) than it does nationally (51st) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Mondamin ranks 15,407 for wildfire risk (1 is highest) and 21,520 by building count (1 is largest). Within Iowa alone, it ranks 303 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
Mondamin's elevated wildfire rating (51st percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Mondamin
Even with 92.1% of Mondamin 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 Mondamin's figures come from
Every one of the two percentiles behind Mondamin's 15,407-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Mondamin's dominant minimal exposure actually means, with real examples from across the dataset.