Bondurant, IA
How exposed is Bondurant to wildfire?
Out of every US place USFS scores, Bondurant lands at the 15th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 2,688 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 Bondurant at the 15th percentile, close to its 15th-percentile risk score.
Where Bondurant's buildings actually sit
Most of Bondurant's buildings (83% of 2,688) 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.
Bondurant against the rest of the country
Bondurant's risk sits at a similar level relative to Iowa (25th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Bondurant ranks 26,720 for wildfire risk (1 is highest) and 5,947 by building count (1 is largest). Within Iowa alone, it ranks 760 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
Bondurant's low wildfire rating (15th 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.
Lowering exposure, not just insuring around it
Even with 83% of Bondurant 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 Bondurant's figures come from
Bondurant's 15th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Bondurant's dominant minimal exposure actually means, with real examples from across the dataset.