Ferris, TX
Ferris, TX's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Ferris at the 72nd national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,282 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Ferris at the 71st national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Ferris's buildings actually sit
Indirect exposure is dominant in Ferris (84.7% of 1,282 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 15.3% sit in the Direct zone.
Where Ferris ranks
Ferris's 72nd national percentile looks worse in isolation than its 36th ranking inside Texas does — this place is on the milder end for its own state, by 36 points. Among the 31,521 US communities USFS scores, Ferris ranks 8,870 for wildfire risk (1 is highest) and 10,187 by building count (1 is largest). Within Texas alone, it ranks 1,145 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Ferris and the insurance market
Ferris's 72nd-percentile, 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.
Hardening a home in Ferris
Ferris's 84.7% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Ferris's figures come from
Ferris's 72nd-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 Ferris's dominant indirect exposure actually means, with real examples from across the dataset.