Crystal City, TX
Crystal City wildfire risk explained
USFS's Wildfire Risk to Communities model puts Crystal City at the 68th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 3,085 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Crystal City at the 64th national percentile — 4 points below its risk-to-structures score, a gap driven by how much is actually built there.
Crystal City's building exposure, zone by zone
Most of Crystal City's buildings (87.3%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Crystal City ranks
Crystal City's 68th national percentile looks worse in isolation than its 26th ranking inside Texas does — this place is on the milder end for its own state, by 42 points. Among the 31,521 US communities USFS scores, Crystal City ranks 10,194 for wildfire risk (1 is highest) and 5,308 by building count (1 is largest). Within Texas alone, it ranks 1,335 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Crystal City
Crystal City's high rating (68th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Lowering exposure, not just insuring around it
With ember exposure the dominant pattern in Crystal City (87.3% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Crystal City's figures come from
The methodology guide shows exactly how USFS turned 3,085 counted buildings into the percentiles shown above for Crystal City. The exposure-zones guide covers what Crystal City's dominant indirect exposure actually means, with real examples from across the dataset.