Kirby, WY
How exposed is Kirby to wildfire?
Kirby sits at the 67th 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 65 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Kirby's burn probability — fire likelihood with no building count factored in — sits at the 64th percentile nationally.
What "at risk" means for the buildings here
Most of Kirby's buildings (66.2%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Kirby against the rest of the country
Inside Wyoming, Kirby sits at just the 25th percentile even though it scores 67th 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, Kirby ranks 10,449 for wildfire risk (1 is highest) and 30,486 by building count (1 is largest). Within Wyoming alone, it ranks 145 of 192 places by risk. See the full county-by-county picture for Wyoming on its state page.
What this risk score means for insurance
Kirby's high rating (67th 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
Kirby's 66.2% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Kirby's figures come from
Kirby's 67th-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 Kirby's dominant indirect exposure actually means, with real examples from across the dataset.