WildfireRiskFinder

Fallston, PA

Fallston, PA's wildfire risk, in USFS's own numbers

Moderate
30thpercentile nationally

Fallston's 229 buildings earn a 30th-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.)

Fire likelihood alone (USFS's burn-probability figure) ranks Fallston at the 30th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Fallston's buildings actually sit

229Total buildings
31.9%Direct exposure
68.1%Indirect exposure
0%Minimal exposure

229 buildings are counted in Fallston, and 68.1% of them are Indirect exposure — ember-driven risk rather than the 31.9% in Direct exposure or the 0% rated Minimal.

Fallston against the rest of the country

Fallston scores 30th nationally and 39th within Pennsylvania — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Fallston ranks 21,945 for wildfire risk (1 is highest) and 23,833 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,214 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

At the 30th national percentile, Fallston rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

With ember exposure the dominant pattern in Fallston (68.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Fallston's figures come from

Fallston's 30th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Fallston's dominant indirect exposure actually means, with real examples from across the dataset.