Crestline, KS
How exposed is Crestline to wildfire?
USFS scores Crestline at the 47th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 111 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Crestline at the 48th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Crestline: 52.3% of its 111 buildings, versus 0% Indirect and 47.8% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Crestline against the rest of the country
Crestline's 47th national percentile looks worse in isolation than its 26th ranking inside Kansas does — this place is on the milder end for its own state, by 21 points. Among the 31,521 US communities USFS scores, Crestline ranks 16,667 for wildfire risk (1 is highest) and 28,585 by building count (1 is largest). Within Kansas alone, it ranks 537 of 721 places by risk. See the full county-by-county picture for Kansas on its state page.
Crestline and the insurance market
Crestline's elevated wildfire rating (47th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Crestline
With 52.3% of Crestline 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 Crestline's figures come from
Crestline's 47th-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 Crestline's dominant direct exposure actually means, with real examples from across the dataset.