WildfireRiskFinder

Rockland, WI

Rockland wildfire risk explained

Moderate
23rdpercentile nationally

Rockland's 385 buildings earn a 23rd-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Rockland's burn probability — fire likelihood with no building count factored in — sits at the 24th percentile nationally.

What "at risk" means for the buildings here

385Total buildings
14.6%Direct exposure
85.5%Indirect exposure
0%Minimal exposure

385 buildings are counted in Rockland, and 85.5% of them are Indirect exposure — ember-driven risk rather than the 14.6% in Direct exposure or the 0% rated Minimal.

Rockland against the rest of the country

Rockland's 41st-percentile standing inside Wisconsin outpaces its 23rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Rockland ranks 24,349 for wildfire risk (1 is highest) and 19,537 by building count (1 is largest). Within Wisconsin alone, it ranks 479 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.

Shopping for coverage in Rockland

At the 23rd national percentile, Rockland rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

With ember exposure the dominant pattern in Rockland (85.5% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.

Where Rockland's figures come from

Rockland's 23rd-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 Rockland's dominant indirect exposure actually means, with real examples from across the dataset.