Weeksville, MT
Weeksville, MT's wildfire risk, in USFS's own numbers
USFS's Wildfire Risk to Communities model puts Weeksville at the 89th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 102 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Weeksville's burn probability — fire likelihood with no building count factored in — sits at the 86th percentile nationally.
Weeksville's building exposure, zone by zone
Direct exposure dominates in Weeksville: 98% of its 102 buildings, versus 0% Indirect and 2% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Weeksville compares
Weeksville's 89th national percentile looks worse in isolation than its 73rd ranking inside Montana does — this place is on the milder end for its own state, by 15 points. Among the 31,521 US communities USFS scores, Weeksville ranks 3,626 for wildfire risk (1 is highest) and 28,962 by building count (1 is largest). Within Montana alone, it ranks 129 of 475 places by risk. See the full county-by-county picture for Montana on its state page.
Weeksville and the insurance market
Weeksville's 89th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Weeksville
Because Direct exposure dominates in Weeksville (98%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Weeksville's figures come from
Weeksville's 89th-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 Weeksville's dominant direct exposure actually means, with real examples from across the dataset.