Avoca, PA
How exposed is Avoca to wildfire?
Out of every US place USFS scores, Avoca lands at the 32nd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,341 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Avoca at the 31st national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Avoca's buildings actually sit
90.4% of Avoca's 1,341 buildings sit in USFS's Minimal exposure zone, with only 6.2% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Avoca compares
Avoca scores 32nd nationally and 43rd 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, Avoca ranks 21,406 for wildfire risk (1 is highest) and 9,879 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,136 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Shopping for coverage in Avoca
Avoca's moderate rating (32nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
Even with 90.4% of Avoca outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Avoca's figures come from
Every one of the two percentiles behind Avoca's 21,406-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Avoca's dominant minimal exposure actually means, with real examples from across the dataset.