Galena, IN
Galena, IN's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Galena lands at the 24th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 840 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Galena at the 25th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Galena's building exposure, zone by zone
91.6% of Galena's 840 buildings sit in USFS's Direct exposure zone, roughly 769 structures close enough to burnable vegetation for flame contact, not just embers — 8.5% fall in the Indirect, ember-only zone and 0% are Minimal.
Galena against the rest of the country
Compare Galena's two percentiles: 89th within Indiana, only 24th nationally — a gap of 66 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Galena ranks 24,102 for wildfire risk (1 is highest) and 13,252 by building count (1 is largest). Within Indiana alone, it ranks 108 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Galena
Galena's moderate wildfire rating (24th 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 91.6% of Galena in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Galena's figures come from
Galena's 24th-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 Galena's dominant direct exposure actually means, with real examples from across the dataset.