Slater, MO
Slater, MO's wildfire risk, in USFS's own numbers
Slater sits at the 34th percentile nationally for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — per USFS's Wildfire Risk to Communities model, built from its 1,290 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Slater at the 34th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.
Slater's building exposure, zone by zone
Most of Slater's buildings (80.8% of 1,290) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.
How Slater compares
Slater's 34th national percentile looks worse in isolation than its 11th ranking inside Missouri does — this place is on the milder end for its own state, by 24 points. Among the 31,521 US communities USFS scores, Slater ranks 20,677 for wildfire risk (1 is highest) and 10,121 by building count (1 is largest). Within Missouri alone, it ranks 948 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.
What this risk score means for insurance
Slater's moderate wildfire rating (34th percentile) isn't the kind of score driving the carrier pullback making news in the highest-risk Western markets — but a standard homeowners quote is still worth comparing on its own terms.
Hardening a home in Slater
Even with 80.8% of Slater outside USFS's Direct and Indirect zones, basic hardening — gutter maintenance, ember-resistant vents — is inexpensive relative to the regional burn-probability risk noted above. Details in the home-hardening guide.
Where Slater's figures come from
Slater's 34th-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 Slater's dominant minimal exposure actually means, with real examples from across the dataset.