Tipton, PA
Tipton, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Tipton lands at the 53rd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 550 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Tipton at the 52nd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Tipton's buildings actually sit
64.9% of Tipton's 550 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 35.1% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How Tipton compares
Within Pennsylvania, Tipton ranks higher (88th percentile) than it does nationally (53rd) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Tipton ranks 14,763 for wildfire risk (1 is highest) and 16,572 by building count (1 is largest). Within Pennsylvania alone, it ranks 239 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
What this risk score means for insurance
Tipton's elevated wildfire rating (53rd 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 64.9% of Tipton'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 Tipton's figures come from
The methodology guide shows exactly how USFS turned 550 counted buildings into the percentiles shown above for Tipton. The exposure-zones guide covers what Tipton's dominant indirect exposure actually means, with real examples from across the dataset.