Pleasanton, IA
Pleasanton, IA's wildfire risk, in USFS's own numbers
Pleasanton sits at the 73rd percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 59 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Pleasanton at the 75th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Pleasanton: 88.1% of its 59 buildings, versus 11.9% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Pleasanton against the rest of the country
Compare Pleasanton's two percentiles: 96th within Iowa, only 73rd nationally — a gap of 23 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Pleasanton ranks 8,472 for wildfire risk (1 is highest) and 30,676 by building count (1 is largest). Within Iowa alone, it ranks 39 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
Pleasanton's high rating (73rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Pleasanton
Pleasanton's 88.1% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Pleasanton's figures come from
The methodology guide shows exactly how USFS turned 59 counted buildings into the percentiles shown above for Pleasanton. The exposure-zones guide covers what Pleasanton's dominant direct exposure actually means, with real examples from across the dataset.