WildfireRiskFinder

Linden, IA

How exposed is Linden to wildfire?

Elevated
50thpercentile nationally

Linden's 192 buildings earn a 50th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Linden's burn probability — fire likelihood with no building count factored in — sits at the 52nd percentile nationally.

Linden's building exposure, zone by zone

192Total buildings
29.2%Direct exposure
70.8%Indirect exposure
0%Minimal exposure

USFS puts 70.8% of Linden's 192 buildings in the Indirect exposure zone, versus 29.2% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Linden compares

Linden's 69th-percentile standing inside Iowa outpaces its 50th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Linden ranks 15,627 for wildfire risk (1 is highest) and 25,159 by building count (1 is largest). Within Iowa alone, it ranks 314 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Linden and the insurance market

Linden's elevated wildfire rating (50th 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.

Hardening a home in Linden

Because 70.8% of Linden's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Linden's figures come from

Every one of the two percentiles behind Linden's 15,627-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Linden's dominant indirect exposure actually means, with real examples from across the dataset.