Four Corners, MT
Four Corners, MT's wildfire risk, in USFS's own numbers
Four Corners's 3,020 buildings earn a 52nd-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Four Corners at the 53rd percentile, close to its 52nd-percentile risk score.
What "at risk" means for the buildings here
56.3% of Four Corners's 3,020 buildings sit in USFS's Direct exposure zone, roughly 1,701 structures close enough to burnable vegetation for flame contact, not just embers — 24.6% fall in the Indirect, ember-only zone and 19.1% are Minimal.
Where Four Corners ranks
Four Corners ranks lower within Montana (15th percentile statewide) than its 52nd national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Four Corners ranks 15,071 for wildfire risk (1 is highest) and 5,397 by building count (1 is largest). Within Montana alone, it ranks 405 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Four Corners and the insurance market
At the 52nd national percentile, Four Corners rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
With 56.3% of Four Corners 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 Four Corners's figures come from
The methodology guide shows exactly how USFS turned 3,020 counted buildings into the percentiles shown above for Four Corners. The exposure-zones guide covers what Four Corners's dominant direct exposure actually means, with real examples from across the dataset.