Sinton, TX
Sinton wildfire risk explained
Out of every US place USFS scores, Sinton lands at the 83rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 2,524 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Sinton at the 85th percentile, close to its 83rd-percentile risk score.
Where Sinton's buildings actually sit
USFS classifies 55.7% of Sinton's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 13.8% Direct and 30.5% Indirect — a landscape-level risk rather than a building-by-building one.
Where Sinton ranks
There's little gap between Sinton's 83rd national percentile and its 69th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Sinton ranks 5,374 for wildfire risk (1 is highest) and 6,259 by building count (1 is largest). Within Texas alone, it ranks 559 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Sinton and the insurance market
At the 83rd percentile nationally, Sinton carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Sinton
With 55.7% of buildings rated Minimal exposure, Sinton gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Sinton's figures come from
Every one of the two percentiles behind Sinton's 5,374-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Sinton's dominant minimal exposure actually means, with real examples from across the dataset.