East Alto Bonito, TX
East Alto Bonito wildfire risk explained
East Alto Bonito's 302 buildings earn a 92nd-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.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts East Alto Bonito at the 93rd percentile, close to its 92nd-percentile risk score.
Where East Alto Bonito's buildings actually sit
USFS puts 98.7% of East Alto Bonito's 302 buildings in the Indirect exposure zone, versus 1.3% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where East Alto Bonito ranks
East Alto Bonito's risk sits at a similar level relative to Texas (89th percentile statewide) as it does nationally (92nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, East Alto Bonito ranks 2,563 for wildfire risk (1 is highest) and 21,589 by building count (1 is largest). Within Texas alone, it ranks 196 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in East Alto Bonito
At the 92nd percentile nationally, East Alto Bonito 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
With ember exposure the dominant pattern in East Alto Bonito (98.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where East Alto Bonito's figures come from
The methodology guide shows exactly how USFS turned 302 counted buildings into the percentiles shown above for East Alto Bonito. The exposure-zones guide covers what East Alto Bonito's dominant indirect exposure actually means, with real examples from across the dataset.