Goodrich, TX
Goodrich, TX's wildfire risk, in USFS's own numbers
Goodrich sits at the 75th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 263 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Goodrich at the 77th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Goodrich: 54.4% of its 263 buildings, versus 45.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Goodrich against the rest of the country
Goodrich's 75th national percentile looks worse in isolation than its 46th ranking inside Texas does — this place is on the milder end for its own state, by 29 points. Among the 31,521 US communities USFS scores, Goodrich ranks 7,893 for wildfire risk (1 is highest) and 22,757 by building count (1 is largest). Within Texas alone, it ranks 967 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
At the 75th percentile nationally, Goodrich carries the 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 Goodrich
Because Direct exposure dominates in Goodrich (54.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Goodrich's figures come from
The methodology guide shows exactly how USFS turned 263 counted buildings into the percentiles shown above for Goodrich. The exposure-zones guide covers what Goodrich's dominant direct exposure actually means, with real examples from across the dataset.