Mount Hope, WI
How exposed is Mount Hope to wildfire?
Mount Hope sits at the 23rd 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 155 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Mount Hope at the 23rd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Mount Hope's buildings actually sit
Indirect exposure is dominant in Mount Hope (80% of 155 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 20% sit in the Direct zone.
Where Mount Hope ranks
Mount Hope's 40th-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, Mount Hope ranks 24,412 for wildfire risk (1 is highest) and 26,684 by building count (1 is largest). Within Wisconsin alone, it ranks 486 of 808 places by risk. See the full county-by-county picture for Wisconsin on its state page.
What this risk score means for insurance
Mount Hope's moderate rating (23rd 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
Mount Hope's 80% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Mount Hope's figures come from
Mount Hope'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 Mount Hope's dominant indirect exposure actually means, with real examples from across the dataset.