WildfireRiskFinder

Tunkhannock, PA

Tunkhannock wildfire risk explained

Elevated
49thpercentile nationally

Tunkhannock's 849 buildings earn a 49th-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Tunkhannock's burn probability — fire likelihood with no building count factored in — sits at the 49th percentile nationally.

Tunkhannock's building exposure, zone by zone

849Total buildings
25.4%Direct exposure
74.6%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Tunkhannock (74.6% of 849 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 25.4% sit in the Direct zone.

How Tunkhannock compares

Within Pennsylvania, Tunkhannock ranks higher (80th percentile) than it does nationally (49th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Tunkhannock ranks 16,117 for wildfire risk (1 is highest) and 13,170 by building count (1 is largest). Within Pennsylvania alone, it ranks 404 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.

Shopping for coverage in Tunkhannock

At the 49th national percentile, Tunkhannock rates elevated 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

With ember exposure the dominant pattern in Tunkhannock (74.6% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Tunkhannock's figures come from

The methodology guide shows exactly how USFS turned 849 counted buildings into the percentiles shown above for Tunkhannock. The exposure-zones guide covers what Tunkhannock's dominant indirect exposure actually means, with real examples from across the dataset.