Parkline, ID
Parkline wildfire risk explained
Out of every US place USFS scores, Parkline lands at the 82nd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 59 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Parkline at the 76th percentile, close to its 82nd-percentile risk score.
What "at risk" means for the buildings here
59 buildings are counted in Parkline, and 100% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
How Parkline compares
Inside Idaho, Parkline sits at just the 50th percentile even though it scores 82nd nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Parkline ranks 5,640 for wildfire risk (1 is highest) and 30,672 by building count (1 is largest). Within Idaho alone, it ranks 117 of 232 places by risk. See the full county-by-county picture for Idaho on its state page.
Parkline and the insurance market
Parkline's 82nd-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.
What would actually reduce this score
Because Direct exposure dominates in Parkline (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Parkline's figures come from
Parkline's 82nd-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 Parkline's dominant direct exposure actually means, with real examples from across the dataset.