Raymondville, MO
Raymondville wildfire risk explained
Raymondville's 354 buildings earn a 76th-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Raymondville at the 79th percentile, close to its 76th-percentile risk score.
Raymondville's building exposure, zone by zone
85.9% of Raymondville's 354 buildings sit in USFS's Direct exposure zone, roughly 304 structures close enough to burnable vegetation for flame contact, not just embers — 14.1% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Raymondville ranks
Compare Raymondville's two percentiles: 92nd within Missouri, only 76th nationally — a gap of 16 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Raymondville ranks 7,598 for wildfire risk (1 is highest) and 20,215 by building count (1 is largest). Within Missouri alone, it ranks 84 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
Raymondville and the insurance market
At the 76th percentile nationally, Raymondville carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Hardening a home in Raymondville
With 85.9% of Raymondville 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 Raymondville's figures come from
Every one of the two percentiles behind Raymondville's 7,598-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Raymondville's dominant direct exposure actually means, with real examples from across the dataset.