Duquesne, PA
Duquesne wildfire risk explained
Out of every US place USFS scores, Duquesne lands at the 26th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 2,776 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Duquesne at the 26th percentile, close to its 26th-percentile risk score.
Duquesne's building exposure, zone by zone
Only 0.5% of Duquesne's 2,776 buildings carry Direct exposure and 0% carry Indirect; the remaining 99.5% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
How Duquesne compares
Duquesne's risk sits at a similar level relative to Pennsylvania (30th percentile statewide) as it does nationally (26th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Duquesne ranks 23,459 for wildfire risk (1 is highest) and 5,813 by building count (1 is largest). Within Pennsylvania alone, it ranks 1,392 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
Duquesne's moderate wildfire rating (26th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Duquesne
With 99.5% of buildings rated Minimal exposure, Duquesne gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Duquesne's figures come from
The methodology guide shows exactly how USFS turned 2,776 counted buildings into the percentiles shown above for Duquesne. The exposure-zones guide covers what Duquesne's dominant minimal exposure actually means, with real examples from across the dataset.