WildfireRiskFinder

Weston, MO

Weston, MO's wildfire risk, in USFS's own numbers

High
66thpercentile nationally

USFS scores Weston at the 66th national percentile for wildfire risk to structures (well above the national norm for wildfire risk), a figure built from 807 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Weston's burn probability — fire likelihood with no building count factored in — sits at the 68th percentile nationally.

Where Weston's buildings actually sit

807Total buildings
44.1%Direct exposure
55.9%Indirect exposure
0%Minimal exposure

807 buildings are counted in Weston, and 55.9% of them are Indirect exposure — ember-driven risk rather than the 44.1% in Direct exposure or the 0% rated Minimal.

Weston against the rest of the country

Weston's risk sits at a similar level relative to Missouri (72nd percentile statewide) as it does nationally (66th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Weston ranks 10,654 for wildfire risk (1 is highest) and 13,576 by building count (1 is largest). Within Missouri alone, it ranks 294 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.

Weston and the insurance market

Weston's high rating (66th 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.

Lowering exposure, not just insuring around it

With ember exposure the dominant pattern in Weston (55.9% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Weston's figures come from

Weston's 66th-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 Weston's dominant indirect exposure actually means, with real examples from across the dataset.