WildfireRiskFinder

Corunna, IN

Corunna, IN's wildfire risk, in USFS's own numbers

Low
10thpercentile nationally

USFS scores Corunna at the 10th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 174 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Corunna at the 9th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Corunna's building exposure, zone by zone

174Total buildings
21.8%Direct exposure
78.2%Indirect exposure
0%Minimal exposure

174 buildings are counted in Corunna, and 78.2% of them are Indirect exposure — ember-driven risk rather than the 21.8% in Direct exposure or the 0% rated Minimal.

Where Corunna ranks

Compare Corunna's two percentiles: 55th within Indiana, only 10th nationally — a gap of 45 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Corunna ranks 28,487 for wildfire risk (1 is highest) and 25,851 by building count (1 is largest). Within Indiana alone, it ranks 438 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

Corunna's low wildfire rating (10th 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

With ember exposure the dominant pattern in Corunna (78.2% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Corunna's figures come from

Corunna's 10th-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 Corunna's dominant indirect exposure actually means, with real examples from across the dataset.