WildfireRiskFinder

Early, IA

Early wildfire risk explained

Low
6thpercentile nationally

Early's 403 buildings earn a 6th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Early at the 5th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Early's buildings actually sit

403Total buildings
11.9%Direct exposure
0%Indirect exposure
88.1%Minimal exposure

USFS classifies 88.1% of Early's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 11.9% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.

Early against the rest of the country

Early's risk sits at a similar level relative to Iowa (14th percentile statewide) as it does nationally (6th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Early ranks 29,531 for wildfire risk (1 is highest) and 19,150 by building count (1 is largest). Within Iowa alone, it ranks 877 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

Early's low wildfire rating (6th 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 88.1% of Early 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 Early's figures come from

The methodology guide shows exactly how USFS turned 403 counted buildings into the percentiles shown above for Early. The exposure-zones guide covers what Early's dominant minimal exposure actually means, with real examples from across the dataset.