Tashua, CT
Tashua wildfire risk explained
Out of every US place USFS scores, Tashua lands at the 34th percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,468 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Tashua at the 32nd percentile, close to its 34th-percentile risk score.
What "at risk" means for the buildings here
1,468 buildings are counted in Tashua, and 79.8% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0.1% rated Minimal.
Where Tashua ranks
Tashua's 57th-percentile standing inside Connecticut outpaces its 34th 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, Tashua ranks 20,949 for wildfire risk (1 is highest) and 9,317 by building count (1 is largest). Within Connecticut alone, it ranks 93 of 214 places by risk. See the full county-by-county picture for Connecticut on its state page.
What this risk score means for insurance
Tashua's moderate rating (34th 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
With 79.8% of Tashua in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Tashua's figures come from
Tashua's 34th-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 Tashua's dominant direct exposure actually means, with real examples from across the dataset.