Fairport, IA
Fairport, IA's wildfire risk, in USFS's own numbers
Fairport sits at the 70th 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 190 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Fairport at the 73rd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Fairport's buildings actually sit
Of Fairport's 190 counted buildings, 67.4% carry Direct exposure and only 4.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Fairport compares
Fairport's 94th-percentile standing inside Iowa outpaces its 70th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Fairport ranks 9,326 for wildfire risk (1 is highest) and 25,240 by building count (1 is largest). Within Iowa alone, it ranks 63 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
Fairport's high rating (70th 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.
Lowering exposure, not just insuring around it
Fairport's 67.4% 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 Fairport's figures come from
The methodology guide shows exactly how USFS turned 190 counted buildings into the percentiles shown above for Fairport. The exposure-zones guide covers what Fairport's dominant direct exposure actually means, with real examples from across the dataset.