Salamonia, IN
Salamonia wildfire risk explained
Salamonia sits at the 1st percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 132 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Salamonia's burn probability — fire likelihood with no building count factored in — sits at the 1st percentile nationally.
What "at risk" means for the buildings here
USFS classifies 69.7% of Salamonia's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 30.3% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Salamonia ranks
Salamonia's risk sits at a similar level relative to Indiana (10th percentile statewide) as it does nationally (1st) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Salamonia ranks 31,077 for wildfire risk (1 is highest) and 27,617 by building count (1 is largest). Within Indiana alone, it ranks 869 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
What this risk score means for insurance
Salamonia's low wildfire rating (1st percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Salamonia
Even with 69.7% of Salamonia 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 Salamonia's figures come from
The methodology guide shows exactly how USFS turned 132 counted buildings into the percentiles shown above for Salamonia. The exposure-zones guide covers what Salamonia's dominant minimal exposure actually means, with real examples from across the dataset.