Piedmont, MO
Piedmont wildfire risk explained
USFS scores Piedmont at the 67th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 1,226 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Piedmont at the 70th percentile, close to its 67th-percentile risk score.
What "at risk" means for the buildings here
Most of Piedmont's buildings (59.8%) 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 Piedmont ranks
There's little gap between Piedmont's 67th national percentile and its 75th percentile inside Missouri, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Piedmont ranks 10,338 for wildfire risk (1 is highest) and 10,493 by building count (1 is largest). Within Missouri alone, it ranks 269 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Piedmont and the insurance market
Piedmont's high rating (67th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Piedmont
Because 59.8% of Piedmont'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 Piedmont's figures come from
Piedmont's 67th-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 Piedmont's dominant indirect exposure actually means, with real examples from across the dataset.