East Fork, AZ
East Fork wildfire risk explained
East Fork sits at the 99th percentile nationally for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — per USFS's Wildfire Risk to Communities model, built from its 197 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, East Fork's burn probability — fire likelihood with no building count factored in — sits at the 99th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in East Fork: 100% of its 197 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How East Fork compares
There's little gap between East Fork's 99th national percentile and its 97th percentile inside Arizona, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, East Fork ranks 177 for wildfire risk (1 is highest) and 24,948 by building count (1 is largest). Within Arizona alone, it ranks 17 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
East Fork's very high rating (99th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in East Fork
With 100% of East Fork 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 East Fork's figures come from
Every one of the two percentiles behind East Fork's 177-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what East Fork's dominant direct exposure actually means, with real examples from across the dataset.