Martell, NE
Martell, NE's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Martell lands at the 65th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 112 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Martell's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.
Martell's building exposure, zone by zone
USFS classifies 58.9% of Martell's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 41.1% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Martell ranks
Martell's risk sits at a similar level relative to Nebraska (58th 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, Martell ranks 11,009 for wildfire risk (1 is highest) and 28,549 by building count (1 is largest). Within Nebraska alone, it ranks 244 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Shopping for coverage in Martell
At the 65th percentile nationally, Martell carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Martell
Even with 58.9% of Martell 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 Martell's figures come from
Martell'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 Martell's dominant minimal exposure actually means, with real examples from across the dataset.