Oak Grove (Washington), TN
Oak Grove (Washington) wildfire risk explained
Oak Grove (Washington)'s 2,175 buildings earn a 65th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Oak Grove (Washington)'s burn probability — fire likelihood with no building count factored in — sits at the 70th percentile nationally.
What "at risk" means for the buildings here
Direct exposure dominates in Oak Grove (Washington): 74.4% of its 2,175 buildings, versus 24.9% Indirect and 0.6% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Oak Grove (Washington) ranks
Oak Grove (Washington)'s risk sits at a similar level relative to Tennessee (57th percentile statewide) as it does nationally (65th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Oak Grove (Washington) ranks 11,204 for wildfire risk (1 is highest) and 7,005 by building count (1 is largest). Within Tennessee alone, it ranks 218 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
What this risk score means for insurance
Oak Grove (Washington)'s high rating (65th 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
Because Direct exposure dominates in Oak Grove (Washington) (74.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Oak Grove (Washington)'s figures come from
Oak Grove (Washington)'s 65th-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 Oak Grove (Washington)'s dominant direct exposure actually means, with real examples from across the dataset.