WildfireRiskFinder

Hiko, NV

Hiko, NV's wildfire risk, in USFS's own numbers

Elevated
54thpercentile nationally

USFS's Wildfire Risk to Communities model puts Hiko at the 54th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 107 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Hiko at the 59th percentile, close to its 54th-percentile risk score.

What "at risk" means for the buildings here

107Total buildings
98.1%Direct exposure
1.9%Indirect exposure
0%Minimal exposure

107 buildings are counted in Hiko, and 98.1% 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.

How Hiko compares

Inside Nevada, Hiko sits at just the 16th percentile even though it scores 54th 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, Hiko ranks 14,654 for wildfire risk (1 is highest) and 28,743 by building count (1 is largest). Within Nevada alone, it ranks 104 of 123 places by risk. See the full county-by-county picture for Nevada on its state page.

Hiko and the insurance market

Hiko's elevated rating (54th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Because Direct exposure dominates in Hiko (98.1%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Hiko's figures come from

Hiko's 54th-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 Hiko's dominant direct exposure actually means, with real examples from across the dataset.