Lake Waynoka, OH
Lake Waynoka wildfire risk explained
Lake Waynoka sits at the 18th percentile nationally for wildfire risk to structures — among the lower wildfire-risk places nationally — per USFS's Wildfire Risk to Communities model, built from its 1,148 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 Lake Waynoka at the 20th percentile, close to its 18th-percentile risk score.
Lake Waynoka's building exposure, zone by zone
Direct exposure dominates in Lake Waynoka: 88% of its 1,148 buildings, versus 0.2% Indirect and 11.9% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Lake Waynoka ranks
Within Ohio, Lake Waynoka ranks higher (48th percentile) than it does nationally (18th) — one of the more fire-exposed places in a state that, overall, scores lower than that. Among the 31,521 US communities USFS scores, Lake Waynoka ranks 25,787 for wildfire risk (1 is highest) and 10,974 by building count (1 is largest). Within Ohio alone, it ranks 658 of 1,264 places by risk. See the full county-by-county picture for Ohio on its state page.
What this risk score means for insurance
Lake Waynoka's low rating (18th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
What would actually reduce this score
With 88% of Lake Waynoka 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 Lake Waynoka's figures come from
The methodology guide shows exactly how USFS turned 1,148 counted buildings into the percentiles shown above for Lake Waynoka. The exposure-zones guide covers what Lake Waynoka's dominant direct exposure actually means, with real examples from across the dataset.