WildfireRiskFinder

Clarinda, IA

How exposed is Clarinda to wildfire?

Elevated
54thpercentile nationally

Clarinda sits at the 54th 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 2,703 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Clarinda at the 55th percentile, close to its 54th-percentile risk score.

Clarinda's building exposure, zone by zone

2,703Total buildings
10.9%Direct exposure
0.6%Indirect exposure
88.5%Minimal exposure

Most of Clarinda's buildings (88.5% of 2,703) 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 Clarinda compares

Compare Clarinda's two percentiles: 74th within Iowa, only 54th nationally — a gap of 20 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Clarinda ranks 14,617 for wildfire risk (1 is highest) and 5,920 by building count (1 is largest). Within Iowa alone, it ranks 269 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Clarinda

Clarinda's elevated rating (54th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Clarinda's 88.5% 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 Clarinda's figures come from

The methodology guide shows exactly how USFS turned 2,703 counted buildings into the percentiles shown above for Clarinda. The exposure-zones guide covers what Clarinda's dominant minimal exposure actually means, with real examples from across the dataset.