Linnsburg, IN
How exposed is Linnsburg to wildfire?
Out of every US place USFS scores, Linnsburg lands at the 3rd percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 153 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Linnsburg at the 3rd percentile, close to its 3rd-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 52.9% of Linnsburg's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 47.1% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Linnsburg ranks
Within Indiana, Linnsburg ranks higher (21st percentile) than it does nationally (3rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Linnsburg ranks 30,571 for wildfire risk (1 is highest) and 26,742 by building count (1 is largest). Within Indiana alone, it ranks 761 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Linnsburg and the insurance market
Linnsburg's low wildfire rating (3rd 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.
What would actually reduce this score
Even with 52.9% of Linnsburg 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 Linnsburg's figures come from
The methodology guide shows exactly how USFS turned 153 counted buildings into the percentiles shown above for Linnsburg. The exposure-zones guide covers what Linnsburg's dominant minimal exposure actually means, with real examples from across the dataset.