Amado, AZ
How exposed is Amado to wildfire?
USFS scores Amado at the 95th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 235 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Amado at the 96th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
235 buildings are counted in Amado, and 92.8% 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.
Where Amado ranks
Inside Arizona, Amado sits at just the 74th percentile even though it scores 95th 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, Amado ranks 1,656 for wildfire risk (1 is highest) and 23,619 by building count (1 is largest). Within Arizona alone, it ranks 115 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.
Shopping for coverage in Amado
Amado's 95th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Amado's 92.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Amado's figures come from
Amado's 95th-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 Amado's dominant direct exposure actually means, with real examples from across the dataset.