WildfireRiskFinder

Danville, PA

Danville wildfire risk explained

Moderate
35thpercentile nationally

Danville's 1,865 buildings earn a 35th-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 Danville at the 34th percentile, close to its 35th-percentile risk score.

What "at risk" means for the buildings here

1,865Total buildings
6.2%Direct exposure
93.8%Indirect exposure
0%Minimal exposure

1,865 buildings are counted in Danville, and 93.8% of them are Indirect exposure — ember-driven risk rather than the 6.2% in Direct exposure or the 0% rated Minimal.

Where Danville ranks

Danville's 50th-percentile standing inside Pennsylvania outpaces its 35th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Danville ranks 20,496 for wildfire risk (1 is highest) and 7,865 by building count (1 is largest). Within Pennsylvania alone, it ranks 995 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

Danville's moderate rating (35th 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 Danville

Danville's 93.8% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.

Where Danville's figures come from

The methodology guide shows exactly how USFS turned 1,865 counted buildings into the percentiles shown above for Danville. The exposure-zones guide covers what Danville's dominant indirect exposure actually means, with real examples from across the dataset.