Prompton, PA
Prompton, PA's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Prompton lands at the 42nd percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 156 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Prompton's burn probability — fire likelihood with no building count factored in — sits at the 43rd percentile nationally.
Where Prompton's buildings actually sit
89.7% of Prompton's 156 buildings sit in USFS's Direct exposure zone, roughly 140 structures close enough to burnable vegetation for flame contact, not just embers — 10.3% fall in the Indirect, ember-only zone and 0% are Minimal.
How Prompton compares
Prompton's 66th-percentile standing inside Pennsylvania outpaces its 42nd 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, Prompton ranks 18,353 for wildfire risk (1 is highest) and 26,634 by building count (1 is largest). Within Pennsylvania alone, it ranks 674 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
At the 42nd national percentile, Prompton rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 89.7% of Prompton in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Prompton's figures come from
The methodology guide shows exactly how USFS turned 156 counted buildings into the percentiles shown above for Prompton. The exposure-zones guide covers what Prompton's dominant direct exposure actually means, with real examples from across the dataset.