Braddyville, IA
Braddyville wildfire risk explained
Braddyville sits at the 53rd 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 156 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Braddyville at the 53rd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Braddyville's buildings actually sit
73.7% of Braddyville's 156 buildings sit in USFS's Minimal exposure zone, with only 26.3% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Where Braddyville ranks
Within Iowa, Braddyville ranks higher (73rd percentile) than it does nationally (53rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Braddyville ranks 14,778 for wildfire risk (1 is highest) and 26,614 by building count (1 is largest). Within Iowa alone, it ranks 277 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Braddyville and the insurance market
At the 53rd national percentile, Braddyville rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Braddyville's 73.7% 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 Braddyville's figures come from
The methodology guide shows exactly how USFS turned 156 counted buildings into the percentiles shown above for Braddyville. The exposure-zones guide covers what Braddyville's dominant minimal exposure actually means, with real examples from across the dataset.