WildfireRiskFinder

Conner, MT

How exposed is Conner to wildfire?

Very High
99thpercentile nationally

Out of every US place USFS scores, Conner lands at the 99th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 240 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Conner at the 99th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

Conner's building exposure, zone by zone

240Total buildings
100%Direct exposure
0%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Conner: 100% of its 240 buildings, versus 0% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Where Conner ranks

Conner scores 99th nationally and 99th within Montana — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, Conner ranks 418 for wildfire risk (1 is highest) and 23,468 by building count (1 is largest). Within Montana alone, it ranks 3 of 475 places by risk. See the full county-by-county picture for Montana on its state page.

Conner and the insurance market

Conner's very high rating (99th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

Because Direct exposure dominates in Conner (100%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Conner's figures come from

Conner's 99th-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 Conner's dominant direct exposure actually means, with real examples from across the dataset.