WildfireRiskFinder

Webster, IA

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

Elevated
44thpercentile nationally

USFS scores Webster at the 44th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 95 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Webster's burn probability — fire likelihood with no building count factored in — sits at the 44th percentile nationally.

Webster's building exposure, zone by zone

95Total buildings
11.6%Direct exposure
0%Indirect exposure
88.4%Minimal exposure

88.4% of Webster's 95 buildings sit in USFS's Minimal exposure zone, with only 11.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

How Webster compares

Compare Webster's two percentiles: 60th within Iowa, only 44th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Webster ranks 17,643 for wildfire risk (1 is highest) and 29,261 by building count (1 is largest). Within Iowa alone, it ranks 406 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Webster and the insurance market

At the 44th national percentile, Webster rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Webster's 88.4% 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 Webster's figures come from

The methodology guide shows exactly how USFS turned 95 counted buildings into the percentiles shown above for Webster. The exposure-zones guide covers what Webster's dominant minimal exposure actually means, with real examples from across the dataset.