Valentine, AZ
Valentine, AZ's wildfire risk, in USFS's own numbers
Valentine's 38 buildings earn a 85th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Valentine's burn probability — fire likelihood with no building count factored in — sits at the 82nd percentile nationally.
What "at risk" means for the buildings here
84.2% of Valentine's 38 buildings sit in USFS's Direct exposure zone, roughly 32 structures close enough to burnable vegetation for flame contact, not just embers — 15.8% fall in the Indirect, ember-only zone and 0% are Minimal.
Valentine against the rest of the country
Inside Arizona, Valentine sits at just the 56th percentile even though it scores 85th 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, Valentine ranks 4,656 for wildfire risk (1 is highest) and 31,202 by building count (1 is largest). Within Arizona alone, it ranks 197 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Shopping for coverage in Valentine
Valentine's very high rating (85th 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
With 84.2% of Valentine 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 Valentine's figures come from
Every one of the two percentiles behind Valentine's 4,656-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Valentine's dominant direct exposure actually means, with real examples from across the dataset.