Blanchard, PA
Blanchard wildfire risk explained
USFS's Wildfire Risk to Communities model puts Blanchard at the 53rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 474 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Blanchard at the 52nd national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Blanchard's building exposure, zone by zone
Indirect exposure is dominant in Blanchard (54.9% of 474 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 45.2% sit in the Direct zone.
How Blanchard compares
Blanchard's 87th-percentile standing inside Pennsylvania outpaces its 53rd 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, Blanchard ranks 14,949 for wildfire risk (1 is highest) and 17,819 by building count (1 is largest). Within Pennsylvania alone, it ranks 260 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Blanchard
Blanchard's elevated rating (53rd 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 Blanchard
Because 54.9% of Blanchard'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 Blanchard's figures come from
Every one of the two percentiles behind Blanchard's 14,949-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Blanchard's dominant indirect exposure actually means, with real examples from across the dataset.