Manley, NE
How exposed is Manley to wildfire?
Manley sits at the 29th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 136 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 Manley at the 26th percentile, close to its 29th-percentile risk score.
Manley's building exposure, zone by zone
USFS classifies 86.8% of Manley's buildings as Minimal exposure, the largest of the three zones here by a wide margin over 13.2% Direct and 0% Indirect — a landscape-level risk rather than a building-by-building one.
Where Manley ranks
Manley scores 29th nationally and 15th within Nebraska — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Manley ranks 22,383 for wildfire risk (1 is highest) and 27,454 by building count (1 is largest). Within Nebraska alone, it ranks 498 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Manley and the insurance market
Manley's moderate wildfire rating (29th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Lowering exposure, not just insuring around it
Even with 86.8% of Manley 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 Manley's figures come from
The methodology guide shows exactly how USFS turned 136 counted buildings into the percentiles shown above for Manley. The exposure-zones guide covers what Manley's dominant minimal exposure actually means, with real examples from across the dataset.