Palmyra, NE
How exposed is Palmyra to wildfire?
USFS scores Palmyra at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 353 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Palmyra's burn probability — fire likelihood with no building count factored in — sits at the 59th percentile nationally.
What "at risk" means for the buildings here
Only 17% of Palmyra's 353 buildings carry Direct exposure and 0% carry Indirect; the remaining 83% are Minimal, which shifts the risk driving this page's score toward the surrounding landscape rather than any one structure.
Palmyra against the rest of the country
Palmyra scores 66th nationally and 62nd 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, Palmyra ranks 10,626 for wildfire risk (1 is highest) and 20,237 by building count (1 is largest). Within Nebraska alone, it ranks 225 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Palmyra and the insurance market
At the 66th percentile nationally, Palmyra 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 Palmyra
Even with 83% of Palmyra 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 Palmyra's figures come from
Palmyra's 66th-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 Palmyra's dominant minimal exposure actually means, with real examples from across the dataset.