Gosport, IN
Gosport wildfire risk explained
Gosport sits at the 12th 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 407 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Gosport at the 12th percentile, close to its 12th-percentile risk score.
Gosport's building exposure, zone by zone
71.7% of Gosport's 407 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 28.3% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Gosport ranks
Gosport's 61st-percentile standing inside Indiana outpaces its 12th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Gosport ranks 27,756 for wildfire risk (1 is highest) and 19,081 by building count (1 is largest). Within Indiana alone, it ranks 377 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Gosport and the insurance market
Gosport's low wildfire rating (12th 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
Because 71.7% of Gosport's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Gosport's figures come from
Gosport's 12th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Gosport's dominant indirect exposure actually means, with real examples from across the dataset.