WildfireRiskFinder

Natalia, TX

How exposed is Natalia to wildfire?

Very High
83rdpercentile nationally

USFS scores Natalia at the 83rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 783 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Natalia at the 83rd percentile, close to its 83rd-percentile risk score.

Where Natalia's buildings actually sit

783Total buildings
23.8%Direct exposure
76.3%Indirect exposure
0%Minimal exposure

USFS puts 76.3% of Natalia's 783 buildings in the Indirect exposure zone, versus 23.8% Direct and 0% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.

How Natalia compares

There's little gap between Natalia's 83rd national percentile and its 69th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Natalia ranks 5,338 for wildfire risk (1 is highest) and 13,793 by building count (1 is largest). Within Texas alone, it ranks 552 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

Shopping for coverage in Natalia

Natalia's very high rating (83rd percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

Lowering exposure, not just insuring around it

Because 76.3% of Natalia's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Natalia's figures come from

The methodology guide shows exactly how USFS turned 783 counted buildings into the percentiles shown above for Natalia. The exposure-zones guide covers what Natalia's dominant indirect exposure actually means, with real examples from across the dataset.