Valley View, TX
Valley View wildfire risk explained
Valley View's 504 buildings earn a 81st-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Valley View at the 80th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
Valley View's building exposure, zone by zone
504 buildings are counted in Valley View, and 57.1% of them are Indirect exposure — ember-driven risk rather than the 42.9% in Direct exposure or the 0% rated Minimal.
Where Valley View ranks
Inside Texas, Valley View sits at just the 63rd percentile even though it scores 81st nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Valley View ranks 6,066 for wildfire risk (1 is highest) and 17,275 by building count (1 is largest). Within Texas alone, it ranks 662 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Valley View
Valley View's 81st-percentile, very 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.
Lowering exposure, not just insuring around it
Valley View's 57.1% 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 Valley View's figures come from
The methodology guide shows exactly how USFS turned 504 counted buildings into the percentiles shown above for Valley View. The exposure-zones guide covers what Valley View's dominant indirect exposure actually means, with real examples from across the dataset.