Martinsburg, MO
Martinsburg wildfire risk explained
Martinsburg sits at the 39th 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 263 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Martinsburg at the 39th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Martinsburg's buildings actually sit
USFS puts 87.1% of Martinsburg's 263 buildings in the Indirect exposure zone, versus 9.9% Direct and 3% Minimal — a place where the fire doesn't need to reach the structure directly for embers to.
Where Martinsburg ranks
Martinsburg ranks lower within Missouri (13th percentile statewide) than its 39th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Martinsburg ranks 19,379 for wildfire risk (1 is highest) and 22,738 by building count (1 is largest). Within Missouri alone, it ranks 923 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Shopping for coverage in Martinsburg
Martinsburg's moderate rating (39th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Martinsburg
With ember exposure the dominant pattern in Martinsburg (87.1% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Martinsburg's figures come from
Every one of the two percentiles behind Martinsburg's 19,379-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Martinsburg's dominant indirect exposure actually means, with real examples from across the dataset.