WildfireRiskFinder

Marcus, IA

How exposed is Marcus to wildfire?

Low
4thpercentile nationally

Marcus's 773 buildings earn a 4th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Marcus at the 4th percentile, close to its 4th-percentile risk score.

What "at risk" means for the buildings here

773Total buildings
28.2%Direct exposure
0%Indirect exposure
71.8%Minimal exposure

Most of Marcus's buildings (71.8% of 773) 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.

Marcus against the rest of the country

Marcus scores 4th nationally and 10th within Iowa — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Marcus ranks 30,134 for wildfire risk (1 is highest) and 13,890 by building count (1 is largest). Within Iowa alone, it ranks 919 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

Marcus's low wildfire rating (4th 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

Marcus's 71.8% 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 Marcus's figures come from

Every one of the two percentiles behind Marcus's 30,134-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Marcus's dominant minimal exposure actually means, with real examples from across the dataset.