WildfireRiskFinder

Wink, TX

Wink, TX's wildfire risk, in USFS's own numbers

Very High
83rdpercentile nationally

Out of every US place USFS scores, Wink lands at the 83rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 886 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 Wink at the 80th percentile, close to its 83rd-percentile risk score.

Wink's building exposure, zone by zone

886Total buildings
37.6%Direct exposure
62.4%Indirect exposure
0%Minimal exposure

886 buildings are counted in Wink, and 62.4% of them are Indirect exposure — ember-driven risk rather than the 37.6% in Direct exposure or the 0% rated Minimal.

Where Wink ranks

Wink's risk sits at a similar level relative to Texas (68th percentile statewide) as it does nationally (83rd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Wink ranks 5,500 for wildfire risk (1 is highest) and 12,849 by building count (1 is largest). Within Texas alone, it ranks 579 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

Wink and the insurance market

At the 83rd percentile nationally, Wink 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 Wink

With ember exposure the dominant pattern in Wink (62.4% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Wink's figures come from

Every one of the two percentiles behind Wink's 5,500-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Wink's dominant indirect exposure actually means, with real examples from across the dataset.