Tioga, PA
Tioga, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Tioga lands at the 48th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 349 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tioga at the 47th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Tioga's buildings actually sit
64.2% of Tioga's 349 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 35.8% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Tioga against the rest of the country
Within Pennsylvania, Tioga ranks higher (79th percentile) than it does nationally (48th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Tioga ranks 16,307 for wildfire risk (1 is highest) and 20,351 by building count (1 is largest). Within Pennsylvania alone, it ranks 428 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Tioga and the insurance market
Tioga's elevated wildfire rating (48th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
What would actually reduce this score
Because 64.2% of Tioga'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 Tioga's figures come from
The methodology guide shows exactly how USFS turned 349 counted buildings into the percentiles shown above for Tioga. The exposure-zones guide covers what Tioga's dominant indirect exposure actually means, with real examples from across the dataset.