WildfireRiskFinder

Malta, ID

Malta, ID's wildfire risk, in USFS's own numbers

Very High
95thpercentile nationally

USFS scores Malta at the 95th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 163 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 Malta at the 95th percentile, close to its 95th-percentile risk score.

Where Malta's buildings actually sit

163Total buildings
31.9%Direct exposure
68.1%Indirect exposure
0%Minimal exposure

163 buildings are counted in Malta, and 68.1% of them are Indirect exposure — ember-driven risk rather than the 31.9% in Direct exposure or the 0% rated Minimal.

Malta against the rest of the country

Malta's 95th national percentile looks worse in isolation than its 80th ranking inside Idaho does — this place is on the milder end for its own state, by 15 points. Among the 31,521 US communities USFS scores, Malta ranks 1,574 for wildfire risk (1 is highest) and 26,278 by building count (1 is largest). Within Idaho alone, it ranks 48 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.

Shopping for coverage in Malta

At the 95th percentile nationally, Malta carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.

What would actually reduce this score

With ember exposure the dominant pattern in Malta (68.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Malta's figures come from

The methodology guide shows exactly how USFS turned 163 counted buildings into the percentiles shown above for Malta. The exposure-zones guide covers what Malta's dominant indirect exposure actually means, with real examples from across the dataset.