San Pedro, TX
San Pedro wildfire risk explained
USFS scores San Pedro at the 65th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 203 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks San Pedro at the 66th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where San Pedro's buildings actually sit
57.1% of San Pedro's 203 buildings sit in USFS's Minimal exposure zone, with only 40.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
San Pedro against the rest of the country
Inside Texas, San Pedro sits at just the 21st percentile even though it scores 65th 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, San Pedro ranks 11,077 for wildfire risk (1 is highest) and 24,749 by building count (1 is largest). Within Texas alone, it ranks 1,420 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in San Pedro
San Pedro's high rating (65th 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
San Pedro's 57.1% 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 San Pedro's figures come from
Every one of the two percentiles behind San Pedro's 11,077-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what San Pedro's dominant minimal exposure actually means, with real examples from across the dataset.