Ali Chukson, AZ
How exposed is Ali Chukson to wildfire?
Ali Chukson's 63 buildings earn a 86th-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 Ali Chukson at the 83rd national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Ali Chukson's buildings actually sit
63 buildings are counted in Ali Chukson, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Ali Chukson against the rest of the country
Ali Chukson ranks lower within Arizona (56th percentile statewide) than its 86th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Ali Chukson ranks 4,561 for wildfire risk (1 is highest) and 30,531 by building count (1 is largest). Within Arizona alone, it ranks 194 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
What this risk score means for insurance
At the 86th percentile nationally, Ali Chukson 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.
What would actually reduce this score
With 100% of Ali Chukson 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 Ali Chukson's figures come from
Ali Chukson's 86th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Ali Chukson's dominant direct exposure actually means, with real examples from across the dataset.