WildfireRiskFinder

Jerome, ID

How exposed is Jerome to wildfire?

Elevated
46thpercentile nationally

USFS's Wildfire Risk to Communities model puts Jerome at the 46th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 4,611 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Jerome at the 46th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Jerome's buildings actually sit

4,611Total buildings
12.1%Direct exposure
0%Indirect exposure
87.9%Minimal exposure

87.9% of Jerome's 4,611 buildings sit in USFS's Minimal exposure zone, with only 12.1% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

How Jerome compares

Jerome ranks lower within Idaho (14th percentile statewide) than its 46th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Jerome ranks 16,884 for wildfire risk (1 is highest) and 3,688 by building count (1 is largest). Within Idaho alone, it ranks 200 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.

Shopping for coverage in Jerome

Jerome's elevated rating (46th 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

Jerome's 87.9% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Jerome's figures come from

The methodology guide shows exactly how USFS turned 4,611 counted buildings into the percentiles shown above for Jerome. The exposure-zones guide covers what Jerome's dominant minimal exposure actually means, with real examples from across the dataset.