Lewellen, NE
Lewellen wildfire risk explained
Out of every US place USFS scores, Lewellen lands at the 76th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 276 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Lewellen's burn probability — fire likelihood with no building count factored in — sits at the 75th percentile nationally.
Lewellen's building exposure, zone by zone
USFS classifies 51.8% of Lewellen's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 10.1% Direct and 38% Indirect — a landscape-level risk rather than a building-by-building one.
Lewellen against the rest of the country
Lewellen's risk sits at a similar level relative to Nebraska (79th percentile statewide) as it does nationally (76th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Lewellen ranks 7,602 for wildfire risk (1 is highest) and 22,325 by building count (1 is largest). Within Nebraska alone, it ranks 122 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Lewellen and the insurance market
Lewellen's high rating (76th 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.
Lowering exposure, not just insuring around it
Even with 51.8% of Lewellen outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Lewellen's figures come from
Every one of the two percentiles behind Lewellen's 7,602-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Lewellen's dominant minimal exposure actually means, with real examples from across the dataset.