Wabash, IN
How exposed is Wabash to wildfire?
Wabash sits at the 4th 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 5,723 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Wabash's burn probability — fire likelihood with no building count factored in — sits at the 4th percentile nationally.
Where Wabash's buildings actually sit
86.2% of Wabash's 5,723 buildings sit in USFS's Minimal exposure zone, with only 13.8% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself. At 5,723 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Wabash compares
Compare Wabash's two percentiles: 32nd within Indiana, only 4th nationally — a gap of 27 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Wabash ranks 30,132 for wildfire risk (1 is highest) and 3,025 by building count (1 is largest). Within Indiana alone, it ranks 661 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.
Shopping for coverage in Wabash
Wabash's low rating (4th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
Wabash's 86.2% 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 Wabash's figures come from
Wabash's 4th-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 Wabash's dominant minimal exposure actually means, with real examples from across the dataset.