West Lafayette, OH
West Lafayette wildfire risk explained
West Lafayette's 1,382 buildings earn a 32nd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, West Lafayette's burn probability — fire likelihood with no building count factored in — sits at the 34th percentile nationally.
West Lafayette's building exposure, zone by zone
Most of West Lafayette's buildings (95.3%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
West Lafayette against the rest of the country
Within Ohio, West Lafayette ranks higher (70th percentile) than it does nationally (32nd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, West Lafayette ranks 21,436 for wildfire risk (1 is highest) and 9,705 by building count (1 is largest). Within Ohio alone, it ranks 379 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
What this risk score means for insurance
At the 32nd national percentile, West Lafayette rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Because 95.3% of West Lafayette's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where West Lafayette's figures come from
The methodology guide shows exactly how USFS turned 1,382 counted buildings into the percentiles shown above for West Lafayette. The exposure-zones guide covers what West Lafayette's dominant indirect exposure actually means, with real examples from across the dataset.