Augusta, MO
How exposed is Augusta to wildfire?
USFS's Wildfire Risk to Communities model puts Augusta at the 52nd national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 270 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Augusta at the 53rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
USFS classifies 51.1% of Augusta's buildings as Direct exposure, higher than its 48.9% Indirect share and far above its 0% Minimal share — a profile where 138 structures sit close enough to vegetation that lot clearing matters most.
How Augusta compares
Augusta's 52nd national percentile looks worse in isolation than its 37th ranking inside Missouri does — this place is on the milder end for its own state, by 15 points. Among the 31,521 US communities USFS scores, Augusta ranks 15,158 for wildfire risk (1 is highest) and 22,505 by building count (1 is largest). Within Missouri alone, it ranks 674 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Augusta and the insurance market
Augusta's elevated rating (52nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Lowering exposure, not just insuring around it
With 51.1% of Augusta in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Augusta's figures come from
Every one of the two percentiles behind Augusta's 15,158-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Augusta's dominant direct exposure actually means, with real examples from across the dataset.