WildfireRiskFinder

Rolfe, IA

Rolfe, IA's wildfire risk, in USFS's own numbers

Low
10thpercentile nationally

Rolfe's 461 buildings earn a 10th-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 Rolfe at the 8th percentile, close to its 10th-percentile risk score.

Rolfe's building exposure, zone by zone

461Total buildings
10.9%Direct exposure
0%Indirect exposure
89.2%Minimal exposure

Most of Rolfe's buildings (89.2% of 461) 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 Rolfe compares

There's little gap between Rolfe's 10th national percentile and its 20th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Rolfe ranks 28,362 for wildfire risk (1 is highest) and 18,043 by building count (1 is largest). Within Iowa alone, it ranks 818 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Rolfe and the insurance market

At the 10th national percentile, Rolfe rates low 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

Even with 89.2% of Rolfe 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 Rolfe's figures come from

The methodology guide shows exactly how USFS turned 461 counted buildings into the percentiles shown above for Rolfe. The exposure-zones guide covers what Rolfe's dominant minimal exposure actually means, with real examples from across the dataset.