Crandall, TX
Crandall wildfire risk explained
USFS scores Crandall at the 75th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,677 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Crandall at the 74th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Crandall's building exposure, zone by zone
81.9% of Crandall's 1,677 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 18.1% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Crandall against the rest of the country
Crandall's 75th national percentile looks worse in isolation than its 46th ranking inside Texas does — this place is on the milder end for its own state, by 29 points. Among the 31,521 US communities USFS scores, Crandall ranks 7,956 for wildfire risk (1 is highest) and 8,503 by building count (1 is largest). Within Texas alone, it ranks 973 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Crandall and the insurance market
At the 75th percentile nationally, Crandall carries the 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 Crandall (81.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Crandall's figures come from
Crandall's 75th-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 Crandall's dominant indirect exposure actually means, with real examples from across the dataset.