Parkville, PA
Parkville, PA's wildfire risk, in USFS's own numbers
USFS scores Parkville at the 6th national percentile for wildfire risk to structures (among the lower wildfire-risk places nationally), a figure built from 2,834 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 Parkville at the 6th percentile, close to its 6th-percentile risk score.
Parkville's building exposure, zone by zone
57.7% of Parkville's 2,834 buildings sit in USFS's Minimal exposure zone, with only 21.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
How Parkville compares
There's little gap between Parkville's 6th national percentile and its 3rd percentile inside Pennsylvania, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Parkville ranks 29,798 for wildfire risk (1 is highest) and 5,690 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,937 of 1,991 places by risk. See the full county-by-county picture for Pennsylvania on its state page.
Parkville and the insurance market
Parkville's low rating (6th 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
Parkville's 57.7% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Parkville's figures come from
Every one of the two percentiles behind Parkville's 29,798-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Parkville's dominant minimal exposure actually means, with real examples from across the dataset.