Pine Haven, WY
Pine Haven wildfire risk explained
Pine Haven sits at the 74th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 433 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Pine Haven at the 71st percentile, close to its 74th-percentile risk score.
Where Pine Haven's buildings actually sit
74.8% of Pine Haven's 433 buildings sit in USFS's Direct exposure zone, roughly 324 structures close enough to burnable vegetation for flame contact, not just embers — 25.2% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Pine Haven ranks
Pine Haven ranks lower within Wyoming (36th percentile statewide) than its 74th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Pine Haven ranks 8,148 for wildfire risk (1 is highest) and 18,599 by building count (1 is largest). Within Wyoming alone, it ranks 124 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
Shopping for coverage in Pine Haven
Pine Haven's high rating (74th 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.
What would actually reduce this score
Pine Haven's 74.8% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Pine Haven's figures come from
Every one of the two percentiles behind Pine Haven's 8,148-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pine Haven's dominant direct exposure actually means, with real examples from across the dataset.