Relampago, TX
How exposed is Relampago to wildfire?
Relampago sits at the 49th percentile nationally for wildfire risk to structures — modestly above the national average for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 82 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Relampago's burn probability — fire likelihood with no building count factored in — sits at the 50th percentile nationally.
What "at risk" means for the buildings here
61% of Relampago's 82 buildings sit in USFS's Minimal exposure zone, with only 36.6% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.
Relampago against the rest of the country
Relampago's 49th national percentile looks worse in isolation than its 6th ranking inside Texas does — this place is on the milder end for its own state, by 43 points. Among the 31,521 US communities USFS scores, Relampago ranks 16,026 for wildfire risk (1 is highest) and 29,826 by building count (1 is largest). Within Texas alone, it ranks 1,689 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Relampago and the insurance market
Relampago's elevated rating (49th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Relampago
With 61% of buildings rated Minimal exposure, Relampago gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Relampago's figures come from
Every one of the two percentiles behind Relampago's 16,026-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Relampago's dominant minimal exposure actually means, with real examples from across the dataset.