Mount Pleasant, IA
How exposed is Mount Pleasant to wildfire?
Mount Pleasant sits at the 57th 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 3,890 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Mount Pleasant's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.
Mount Pleasant's building exposure, zone by zone
Mount Pleasant rates 93.3% Minimal exposure against just 6.7% Direct and 0% Indirect — of 3,890 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Mount Pleasant ranks
Within Iowa, Mount Pleasant ranks higher (78th percentile) than it does nationally (57th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Mount Pleasant ranks 13,577 for wildfire risk (1 is highest) and 4,346 by building count (1 is largest). Within Iowa alone, it ranks 220 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Mount Pleasant and the insurance market
Mount Pleasant's elevated wildfire rating (57th 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.
What would actually reduce this score
Mount Pleasant's 93.3% 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 Mount Pleasant's figures come from
The methodology guide shows exactly how USFS turned 3,890 counted buildings into the percentiles shown above for Mount Pleasant. The exposure-zones guide covers what Mount Pleasant's dominant minimal exposure actually means, with real examples from across the dataset.