Wickenburg, AZ
Wickenburg wildfire risk explained
Wickenburg's 4,806 buildings earn a 84th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Wickenburg at the 81st national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
52.1% of Wickenburg's 4,806 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 47.9% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Where Wickenburg ranks
Inside Arizona, Wickenburg sits at just the 51st percentile even though it scores 84th 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, Wickenburg ranks 5,192 for wildfire risk (1 is highest) and 3,552 by building count (1 is largest). Within Arizona alone, it ranks 218 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Wickenburg and the insurance market
At the 84th percentile nationally, Wickenburg carries the very 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.
Lowering exposure, not just insuring around it
Because 52.1% of Wickenburg'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 Wickenburg's figures come from
The methodology guide shows exactly how USFS turned 4,806 counted buildings into the percentiles shown above for Wickenburg. The exposure-zones guide covers what Wickenburg's dominant indirect exposure actually means, with real examples from across the dataset.