Jackson Junction, IA
How exposed is Jackson Junction to wildfire?
Out of every US place USFS scores, Jackson Junction lands at the 17th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 119 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Jackson Junction at the 17th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Jackson Junction's building exposure, zone by zone
Jackson Junction rates 63% Minimal exposure against just 37% Direct and 0% Indirect — of 119 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Jackson Junction ranks
Jackson Junction's risk sits at a similar level relative to Iowa (28th percentile statewide) as it does nationally (17th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Jackson Junction ranks 26,156 for wildfire risk (1 is highest) and 28,190 by building count (1 is largest). Within Iowa alone, it ranks 738 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
At the 17th national percentile, Jackson Junction rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With 63% of buildings rated Minimal exposure, Jackson Junction gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Jackson Junction's figures come from
The methodology guide shows exactly how USFS turned 119 counted buildings into the percentiles shown above for Jackson Junction. The exposure-zones guide covers what Jackson Junction's dominant minimal exposure actually means, with real examples from across the dataset.