Pacific Junction, IA
How exposed is Pacific Junction to wildfire?
Pacific Junction sits at the 52nd 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 378 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Pacific Junction's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.
What "at risk" means for the buildings here
Pacific Junction rates 93.9% Minimal exposure against just 6.1% Direct and 0% Indirect — of 378 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Pacific Junction ranks
Within Iowa, Pacific Junction ranks higher (71st percentile) than it does nationally (52nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Pacific Junction ranks 15,154 for wildfire risk (1 is highest) and 19,686 by building count (1 is largest). Within Iowa alone, it ranks 292 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
Pacific Junction's elevated rating (52nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Pacific Junction
Pacific Junction's 93.9% 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 Pacific Junction's figures come from
Every one of the two percentiles behind Pacific Junction's 15,154-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pacific Junction's dominant minimal exposure actually means, with real examples from across the dataset.