WildfireRiskFinder

Primera, TX

How exposed is Primera to wildfire?

Elevated
53rdpercentile nationally

Primera's 1,910 buildings earn a 53rd-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Primera at the 55th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.

Primera's building exposure, zone by zone

1,910Total buildings
50.4%Direct exposure
0%Indirect exposure
49.6%Minimal exposure

50.4% of Primera's 1,910 buildings sit in USFS's Direct exposure zone, roughly 963 structures close enough to burnable vegetation for flame contact, not just embers — 0% fall in the Indirect, ember-only zone and 49.6% are Minimal.

Primera against the rest of the country

Inside Texas, Primera sits at just the 8th percentile even though it scores 53rd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Primera ranks 14,798 for wildfire risk (1 is highest) and 7,734 by building count (1 is largest). Within Texas alone, it ranks 1,646 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

Shopping for coverage in Primera

Primera's elevated rating (53rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Primera

Because Direct exposure dominates in Primera (50.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Primera's figures come from

The methodology guide shows exactly how USFS turned 1,910 counted buildings into the percentiles shown above for Primera. The exposure-zones guide covers what Primera's dominant direct exposure actually means, with real examples from across the dataset.