Angus, TX
How exposed is Angus to wildfire?
USFS's Wildfire Risk to Communities model puts Angus at the 82nd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 412 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 Angus at the 83rd percentile, close to its 82nd-percentile risk score.
What "at risk" means for the buildings here
Of Angus's 412 counted buildings, 90.5% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
How Angus compares
Angus's 82nd national percentile looks worse in isolation than its 66th ranking inside Texas does — this place is on the milder end for its own state, by 16 points. Among the 31,521 US communities USFS scores, Angus ranks 5,683 for wildfire risk (1 is highest) and 18,995 by building count (1 is largest). Within Texas alone, it ranks 605 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
What this risk score means for insurance
Angus's 82nd-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Angus
With 90.5% of Angus in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Angus's figures come from
Every one of the two percentiles behind Angus's 5,683-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Angus's dominant direct exposure actually means, with real examples from across the dataset.