WildfireRiskFinder

Weldon, IA

How exposed is Weldon to wildfire?

Elevated
49thpercentile nationally

USFS's Wildfire Risk to Communities model puts Weldon at the 49th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 137 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Weldon's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.

Where Weldon's buildings actually sit

137Total buildings
29.9%Direct exposure
0%Indirect exposure
70.1%Minimal exposure

70.1% of Weldon's 137 buildings sit in USFS's Minimal exposure zone, with only 29.9% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Weldon ranks

Within Iowa, Weldon ranks higher (68th percentile) than it does nationally (49th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Weldon ranks 15,971 for wildfire risk (1 is highest) and 27,399 by building count (1 is largest). Within Iowa alone, it ranks 328 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Weldon

Weldon's elevated wildfire rating (49th 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 Weldon

Weldon's 70.1% 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 Weldon's figures come from

Every one of the two percentiles behind Weldon's 15,971-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Weldon's dominant minimal exposure actually means, with real examples from across the dataset.