WildfireRiskFinder

Friona, TX

How exposed is Friona to wildfire?

Elevated
59thpercentile nationally

USFS scores Friona at the 59th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,783 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Friona's burn probability — fire likelihood with no building count factored in — sits at the 55th percentile nationally.

Where Friona's buildings actually sit

1,783Total buildings
5.2%Direct exposure
0%Indirect exposure
94.8%Minimal exposure

Friona rates 94.8% Minimal exposure against just 5.2% Direct and 0% Indirect — of 1,783 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Friona ranks

Friona's 59th national percentile looks worse in isolation than its 13th ranking inside Texas does — this place is on the milder end for its own state, by 46 points. Among the 31,521 US communities USFS scores, Friona ranks 12,840 for wildfire risk (1 is highest) and 8,114 by building count (1 is largest). Within Texas alone, it ranks 1,554 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

Shopping for coverage in Friona

At the 59th national percentile, Friona rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Friona

With 94.8% of buildings rated Minimal exposure, Friona gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Friona's figures come from

Friona's 59th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Friona's dominant minimal exposure actually means, with real examples from across the dataset.