Olmos Park, TX
Olmos Park, TX's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Olmos Park at the 53rd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 1,197 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Olmos Park at the 58th percentile, close to its 53rd-percentile risk score.
Where Olmos Park's buildings actually sit
Most of Olmos Park's buildings (76.9% of 1,197) 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.
Olmos Park against the rest of the country
Inside Texas, Olmos Park sits at just the 8th percentile even though it scores 53rd 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, Olmos Park ranks 14,924 for wildfire risk (1 is highest) and 10,664 by building count (1 is largest). Within Texas alone, it ranks 1,654 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Olmos Park
Olmos Park's elevated wildfire rating (53rd percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Olmos Park's 76.9% 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 Olmos Park's figures come from
The methodology guide shows exactly how USFS turned 1,197 counted buildings into the percentiles shown above for Olmos Park. The exposure-zones guide covers what Olmos Park's dominant minimal exposure actually means, with real examples from across the dataset.