Orin, WY
Orin, WY's wildfire risk, in USFS's own numbers
USFS scores Orin at the 84th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 78 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Orin at the 83rd percentile, close to its 84th-percentile risk score.
What "at risk" means for the buildings here
80.8% of Orin's 78 buildings sit in USFS's Direct exposure zone, roughly 63 structures close enough to burnable vegetation for flame contact, not just embers — 19.2% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Orin ranks
Orin ranks lower within Wyoming (65th percentile statewide) than its 84th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Orin ranks 5,185 for wildfire risk (1 is highest) and 29,992 by building count (1 is largest). Within Wyoming alone, it ranks 68 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
At the 84th percentile nationally, Orin carries the very high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
What would actually reduce this score
With 80.8% of Orin in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Orin's figures come from
Orin's 84th-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 Orin's dominant direct exposure actually means, with real examples from across the dataset.