WildfireRiskFinder

Bunola, PA

Bunola wildfire risk explained

Moderate
34thpercentile nationally

USFS scores Bunola at the 34th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 181 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Bunola at the 36th percentile, close to its 34th-percentile risk score.

Bunola's building exposure, zone by zone

181Total buildings
87.3%Direct exposure
10.5%Indirect exposure
2.2%Minimal exposure

Of Bunola's 181 counted buildings, 87.3% carry Direct exposure and only 2.2% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.

Bunola against the rest of the country

Bunola's risk sits at a similar level relative to Pennsylvania (48th percentile statewide) as it does nationally (34th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Bunola ranks 20,748 for wildfire risk (1 is highest) and 25,594 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,037 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

Bunola's moderate rating (34th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Bunola (87.3%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Bunola's figures come from

Bunola's 34th-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 Bunola's dominant direct exposure actually means, with real examples from across the dataset.