Sunizona, AZ
Sunizona, AZ's wildfire risk, in USFS's own numbers
USFS scores Sunizona at the 93rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 294 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 Sunizona at the 95th percentile, close to its 93rd-percentile risk score.
Where Sunizona's buildings actually sit
100% of Sunizona's 294 buildings sit in USFS's Direct exposure zone, roughly 294 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Sunizona ranks
Sunizona's 93rd national percentile looks worse in isolation than its 70th ranking inside Arizona does — this place is on the milder end for its own state, by 23 points. Among the 31,521 US communities USFS scores, Sunizona ranks 2,320 for wildfire risk (1 is highest) and 21,777 by building count (1 is largest). Within Arizona alone, it ranks 134 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Shopping for coverage in Sunizona
Sunizona's 93rd-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Because Direct exposure dominates in Sunizona (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Sunizona's figures come from
The methodology guide shows exactly how USFS turned 294 counted buildings into the percentiles shown above for Sunizona. The exposure-zones guide covers what Sunizona's dominant direct exposure actually means, with real examples from across the dataset.