Gu Oidak, AZ
Gu Oidak wildfire risk explained
Gu Oidak sits at the 68th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 127 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Gu Oidak's burn probability — fire likelihood with no building count factored in — sits at the 66th percentile nationally.
Gu Oidak's building exposure, zone by zone
Direct exposure dominates in Gu Oidak: 100% of its 127 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Gu Oidak compares
Inside Arizona, Gu Oidak sits at just the 31st percentile even though it scores 68th 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, Gu Oidak ranks 10,043 for wildfire risk (1 is highest) and 27,833 by building count (1 is largest). Within Arizona alone, it ranks 303 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Gu Oidak and the insurance market
At the 68th percentile nationally, Gu Oidak carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
Because Direct exposure dominates in Gu Oidak (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Gu Oidak's figures come from
Every one of the two percentiles behind Gu Oidak's 10,043-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Gu Oidak's dominant direct exposure actually means, with real examples from across the dataset.