Winkelman, AZ
Winkelman wildfire risk explained
USFS scores Winkelman at the 82nd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 216 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Winkelman at the 82nd national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Winkelman's buildings actually sit
USFS puts 90.7% of Winkelman's 216 buildings in the Indirect exposure zone, versus 9.3% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Winkelman ranks
Winkelman ranks lower within Arizona (48th percentile statewide) than its 82nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Winkelman ranks 5,725 for wildfire risk (1 is highest) and 24,263 by building count (1 is largest). Within Arizona alone, it ranks 231 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Winkelman and the insurance market
At the 82nd percentile nationally, Winkelman 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 90.7% of Winkelman'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 Winkelman's figures come from
The methodology guide shows exactly how USFS turned 216 counted buildings into the percentiles shown above for Winkelman. The exposure-zones guide covers what Winkelman's dominant indirect exposure actually means, with real examples from across the dataset.