Leshara, NE
Leshara, NE's wildfire risk, in USFS's own numbers
USFS scores Leshara at the 70th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 81 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Leshara's burn probability — fire likelihood with no building count factored in — sits at the 65th percentile nationally.
Where Leshara's buildings actually sit
Most of Leshara's buildings (90.1%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Leshara ranks
Leshara scores 70th nationally and 70th 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, Leshara ranks 9,364 for wildfire risk (1 is highest) and 29,856 by building count (1 is largest). Within Nebraska alone, it ranks 177 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Leshara and the insurance market
At the 70th percentile nationally, Leshara 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 Leshara
Because 90.1% of Leshara's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where Leshara's figures come from
Every one of the two percentiles behind Leshara's 9,364-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Leshara's dominant indirect exposure actually means, with real examples from across the dataset.