Shueyville, IA
Shueyville wildfire risk explained
Shueyville's 389 buildings earn a 60th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Shueyville at the 61st national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Shueyville's buildings actually sit
79.4% of Shueyville's 389 buildings sit in USFS's Direct exposure zone, roughly 309 structures close enough to burnable vegetation for flame contact, not just embers — 20.6% fall in the Indirect, ember-only zone and 0% are Minimal.
Shueyville against the rest of the country
Within Iowa, Shueyville ranks higher (83rd percentile) than it does nationally (60th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Shueyville ranks 12,760 for wildfire risk (1 is highest) and 19,427 by building count (1 is largest). Within Iowa alone, it ranks 175 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
Shueyville's elevated wildfire rating (60th 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 Shueyville
With 79.4% of Shueyville in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Shueyville's figures come from
Shueyville's 60th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Shueyville's dominant direct exposure actually means, with real examples from across the dataset.