WildfireRiskFinder

Nada, TX

Nada, TX's wildfire risk, in USFS's own numbers

High
66thpercentile nationally

USFS scores Nada at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 301 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 Nada at the 68th percentile, close to its 66th-percentile risk score.

Nada's building exposure, zone by zone

301Total buildings
92%Direct exposure
8%Indirect exposure
0%Minimal exposure

301 buildings are counted in Nada, and 92% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.

Nada against the rest of the country

Inside Texas, Nada sits at just the 22nd percentile even though it scores 66th 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, Nada ranks 10,856 for wildfire risk (1 is highest) and 21,615 by building count (1 is largest). Within Texas alone, it ranks 1,400 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

Nada and the insurance market

Nada's high rating (66th 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.

Hardening a home in Nada

With 92% of Nada 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 Nada's figures come from

Nada's 66th-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 Nada's dominant direct exposure actually means, with real examples from across the dataset.