WildfireRiskFinder

Warba, MN

Warba, MN's wildfire risk, in USFS's own numbers

Elevated
43rdpercentile nationally

Warba's 177 buildings earn a 43rd-percentile wildfire-risk score nationally under USFS's model — modestly above the national average for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Warba at the 43rd national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.

Warba's building exposure, zone by zone

177Total buildings
68.4%Direct exposure
31.6%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Warba: 68.4% of its 177 buildings, versus 31.6% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Warba against the rest of the country

Warba's 61st-percentile standing inside Minnesota outpaces its 43rd 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, Warba ranks 17,868 for wildfire risk (1 is highest) and 25,753 by building count (1 is largest). Within Minnesota alone, it ranks 358 of 914 places by risk. See the full county-by-county picture for Minnesota on its state page.

Shopping for coverage in Warba

Warba's elevated rating (43rd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Because Direct exposure dominates in Warba (68.4%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Warba's figures come from

Warba's 43rd-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 Warba's dominant direct exposure actually means, with real examples from across the dataset.