Tolleson, AZ
How exposed is Tolleson to wildfire?
USFS scores Tolleson at the 34th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 2,735 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Tolleson at the 36th percentile, close to its 34th-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 92.3% of Tolleson's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 7.7% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Tolleson against the rest of the country
Tolleson ranks lower within Arizona (9th percentile statewide) than its 34th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Tolleson ranks 20,726 for wildfire risk (1 is highest) and 5,872 by building count (1 is largest). Within Arizona alone, it ranks 401 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
Tolleson's moderate rating (34th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Tolleson
Even with 92.3% of Tolleson outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Tolleson's figures come from
Every one of the two percentiles behind Tolleson's 20,726-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Tolleson's dominant minimal exposure actually means, with real examples from across the dataset.