Republican City, NE
How exposed is Republican City to wildfire?
Republican City's 344 buildings earn a 53rd-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Republican City at the 51st national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
72.1% of Republican City's 344 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 11.6% Direct and 16.3% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Republican City against the rest of the country
Republican City scores 53rd nationally and 40th 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, Republican City ranks 14,721 for wildfire risk (1 is highest) and 20,470 by building count (1 is largest). Within Nebraska alone, it ranks 351 of 583 places by risk. See the full county-by-county picture for Nebraska on its state page.
Shopping for coverage in Republican City
At the 53rd national percentile, Republican City rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Republican City's 72.1% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Republican City's figures come from
The methodology guide shows exactly how USFS turned 344 counted buildings into the percentiles shown above for Republican City. The exposure-zones guide covers what Republican City's dominant indirect exposure actually means, with real examples from across the dataset.