Opdyke West, TX
Opdyke West, TX's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Opdyke West lands at the 55th percentile for wildfire risk to structures — modestly above the national average for wildfire risk — a figure built from its 90 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Opdyke West at the 52nd national percentile — 3 points below its risk-to-structures score, a gap driven by how much is actually built there.
Opdyke West's building exposure, zone by zone
Most of Opdyke West's buildings (96.7% of 90) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Opdyke West compares
Opdyke West ranks lower within Texas (10th percentile statewide) than its 55th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Opdyke West ranks 14,137 for wildfire risk (1 is highest) and 29,515 by building count (1 is largest). Within Texas alone, it ranks 1,616 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
At the 55th national percentile, Opdyke West rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Opdyke West's 96.7% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.
Where Opdyke West's figures come from
Every one of the two percentiles behind Opdyke West's 14,137-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Opdyke West's dominant minimal exposure actually means, with real examples from across the dataset.