Lebanon, IN
Lebanon wildfire risk explained
Lebanon's 8,105 buildings earn a 2nd-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Lebanon at the 2nd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Lebanon's buildings actually sit
Only 6.5% of Lebanon's 8,105 buildings carry Direct exposure and 0% carry Indirect; the remaining 93.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure. At 8,105 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Where Lebanon ranks
There's little gap between Lebanon's 2nd national percentile and its 12th percentile inside Indiana, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Lebanon ranks 30,981 for wildfire risk (1 is highest) and 2,074 by building count (1 is largest). Within Indiana alone, it ranks 849 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Lebanon
Lebanon's low rating (2nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Lebanon's 93.5% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Lebanon's figures come from
Every one of the two percentiles behind Lebanon's 30,981-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lebanon's dominant minimal exposure actually means, with real examples from across the dataset.