WildfireRiskFinder

Kila, MT

Kila, MT's wildfire risk, in USFS's own numbers

Very High
85thpercentile nationally

Kila's 352 buildings earn a 85th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kila at the 84th percentile, close to its 85th-percentile risk score.

Kila's building exposure, zone by zone

352Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

USFS classifies 100% of Kila's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 352 structures sit close enough to vegetation that lot clearing matters most.

How Kila compares

Kila ranks lower within Montana (62nd percentile statewide) than its 85th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Kila ranks 4,821 for wildfire risk (1 is highest) and 20,264 by building count (1 is largest). Within Montana alone, it ranks 181 of 475 places by risk. See the full county-by-county picture for Montana on its state page.

Kila and the insurance market

Kila's very high rating (85th 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.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Kila (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Kila's figures come from

Every one of the two percentiles behind Kila's 4,821-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Kila's dominant direct exposure actually means, with real examples from across the dataset.