Parnell, MO
Parnell wildfire risk explained
USFS's Wildfire Risk to Communities model puts Parnell at the 68th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 157 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Parnell's burn probability — fire likelihood with no building count factored in — sits at the 69th percentile nationally.
Parnell's building exposure, zone by zone
65.6% of Parnell's 157 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 34.4% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Parnell against the rest of the country
Parnell scores 68th nationally and 77th within Missouri — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Parnell ranks 10,117 for wildfire risk (1 is highest) and 26,572 by building count (1 is largest). Within Missouri alone, it ranks 244 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Shopping for coverage in Parnell
Parnell's 68th-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Hardening a home in Parnell
Because 65.6% of Parnell'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 Parnell's figures come from
Every one of the two percentiles behind Parnell's 10,117-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Parnell's dominant indirect exposure actually means, with real examples from across the dataset.