Woodlawn Park, KY
Woodlawn Park wildfire risk explained
Out of every US place USFS scores, Woodlawn Park lands at the 12th percentile for wildfire risk to structures — among the lower wildfire-risk places nationally — a figure built from its 657 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Woodlawn Park's burn probability — fire likelihood with no building count factored in — sits at the 13th percentile nationally.
What "at risk" means for the buildings here
Most of Woodlawn Park's buildings (70.2% of 657) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
Where Woodlawn Park ranks
Woodlawn Park's risk sits at a similar level relative to Kentucky (17th percentile statewide) as it does nationally (12th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Woodlawn Park ranks 27,796 for wildfire risk (1 is highest) and 15,100 by building count (1 is largest). Within Kentucky alone, it ranks 461 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
What this risk score means for insurance
At the 12th national percentile, Woodlawn Park rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
With 70.2% of buildings rated Minimal exposure, Woodlawn Park gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Woodlawn Park's figures come from
Every one of the two percentiles behind Woodlawn Park's 27,796-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Woodlawn Park's dominant minimal exposure actually means, with real examples from across the dataset.