Lime Springs, IA
How exposed is Lime Springs to wildfire?
USFS's Wildfire Risk to Communities model puts Lime Springs at the 15th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 408 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lime Springs at the 13th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Lime Springs's buildings actually sit
Most of Lime Springs's buildings (85.8% of 408) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Lime Springs ranks
Lime Springs's risk sits at a similar level relative to Iowa (25th percentile statewide) as it does nationally (15th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Lime Springs ranks 26,881 for wildfire risk (1 is highest) and 19,066 by building count (1 is largest). Within Iowa alone, it ranks 766 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.
Lime Springs and the insurance market
At the 15th national percentile, Lime Springs rates low 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
Even with 85.8% of Lime Springs outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Lime Springs's figures come from
Every one of the two percentiles behind Lime Springs's 26,881-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lime Springs's dominant minimal exposure actually means, with real examples from across the dataset.