Pirtleville, AZ
Pirtleville wildfire risk explained
Out of every US place USFS scores, Pirtleville lands at the 97th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 814 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 Pirtleville at the 97th percentile, close to its 97th-percentile risk score.
What "at risk" means for the buildings here
Indirect exposure is dominant in Pirtleville (57.7% of 814 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 42.3% sit in the Direct zone.
How Pirtleville compares
Inside Arizona, Pirtleville sits at just the 81st percentile even though it scores 97th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Pirtleville ranks 1,028 for wildfire risk (1 is highest) and 13,509 by building count (1 is largest). Within Arizona alone, it ranks 85 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Shopping for coverage in Pirtleville
Pirtleville's very high rating (97th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
Because 57.7% of Pirtleville's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Pirtleville's figures come from
Every one of the two percentiles behind Pirtleville's 1,028-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pirtleville's dominant indirect exposure actually means, with real examples from across the dataset.