Saugany Lake, IN
Saugany Lake wildfire risk explained
Saugany Lake sits at the 22nd percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 309 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Saugany Lake's burn probability — fire likelihood with no building count factored in — sits at the 23rd percentile nationally.
What "at risk" means for the buildings here
Of Saugany Lake's 309 counted buildings, 61.2% carry Direct exposure and only 1.6% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Saugany Lake against the rest of the country
Within Indiana, Saugany Lake ranks higher (87th percentile) than it does nationally (22nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Saugany Lake ranks 24,481 for wildfire risk (1 is highest) and 21,392 by building count (1 is largest). Within Indiana alone, it ranks 126 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Saugany Lake
Saugany Lake's moderate rating (22nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Saugany Lake
With 61.2% of Saugany Lake 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 Saugany Lake's figures come from
The methodology guide shows exactly how USFS turned 309 counted buildings into the percentiles shown above for Saugany Lake. The exposure-zones guide covers what Saugany Lake's dominant direct exposure actually means, with real examples from across the dataset.