WildfireRiskFinder

Lansing, OH

Lansing, OH's wildfire risk, in USFS's own numbers

Moderate
37thpercentile nationally

Lansing's 368 buildings earn a 37th-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Lansing at the 39th percentile, close to its 37th-percentile risk score.

What "at risk" means for the buildings here

368Total buildings
16.3%Direct exposure
83.7%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Lansing (83.7% of 368 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 16.3% sit in the Direct zone.

How Lansing compares

Within Ohio, Lansing ranks higher (82nd percentile) than it does nationally (37th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Lansing ranks 19,740 for wildfire risk (1 is highest) and 19,911 by building count (1 is largest). Within Ohio alone, it ranks 228 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.

Lansing and the insurance market

Lansing's moderate rating (37th 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 Lansing

Because 83.7% of Lansing'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 Lansing's figures come from

Every one of the two percentiles behind Lansing's 19,740-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lansing's dominant indirect exposure actually means, with real examples from across the dataset.