WildfireRiskFinder

Pascola, MO

Pascola wildfire risk explained

Low
1stpercentile nationally

USFS's Wildfire Risk to Communities model puts Pascola at the 1st national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 89 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Pascola at the 1st percentile, close to its 1st-percentile risk score.

Where Pascola's buildings actually sit

89Total buildings
36%Direct exposure
0%Indirect exposure
64%Minimal exposure

64% of Pascola's 89 buildings sit in USFS's Minimal exposure zone, with only 36% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Where Pascola ranks

Pascola scores 1st nationally and 1st 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, Pascola ranks 31,342 for wildfire risk (1 is highest) and 29,537 by building count (1 is largest). Within Missouri alone, it ranks 1,056 of 1,062 places by risk. See the full county-by-county picture for Missouri on its state page.

Shopping for coverage in Pascola

Pascola's low rating (1st percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

What would actually reduce this score

Even with 64% of Pascola 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 Pascola's figures come from

Every one of the two percentiles behind Pascola's 31,342-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Pascola's dominant minimal exposure actually means, with real examples from across the dataset.