Woodland Hills, NE
How exposed is Woodland Hills to wildfire?
Woodland Hills's 97 buildings earn a 70th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Woodland Hills at the 65th national percentile — 5 points below its risk-to-structures score, a gap driven by how much is actually built there.
Woodland Hills's building exposure, zone by zone
USFS classifies 100% of Woodland Hills's buildings as Direct exposure, higher than its 0% Indirect share and far above its 0% Minimal share — a profile where 97 structures sit close enough to vegetation that lot clearing matters most.
How Woodland Hills compares
Woodland Hills scores 70th nationally and 69th 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, Woodland Hills ranks 9,460 for wildfire risk (1 is highest) and 29,186 by building count (1 is largest). Within Nebraska alone, it ranks 183 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Woodland Hills and the insurance market
At the 70th percentile nationally, Woodland Hills 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.
What would actually reduce this score
Woodland Hills's 100% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Woodland Hills's figures come from
The methodology guide shows exactly how USFS turned 97 counted buildings into the percentiles shown above for Woodland Hills. The exposure-zones guide covers what Woodland Hills's dominant direct exposure actually means, with real examples from across the dataset.