Centralia, WA
Centralia wildfire risk explained
Centralia's 8,207 buildings earn a 24th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks Centralia at the 27th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Centralia's buildings actually sit
8,207 buildings are counted in Centralia, and 93% of them are Indirect exposure — ember-driven risk rather than the 7% in Direct exposure or the 0% rated Minimal. At 8,207 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
Centralia against the rest of the country
Centralia's risk sits at a similar level relative to Washington (38th percentile statewide) as it does nationally (24th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Centralia ranks 24,034 for wildfire risk (1 is highest) and 2,043 by building count (1 is largest). Within Washington alone, it ranks 388 of 628 places by risk. See the full county-by-county picture for Washington on its state page.
Shopping for coverage in Centralia
Centralia's moderate rating (24th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.
Hardening a home in Centralia
With ember exposure the dominant pattern in Centralia (93% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Centralia's figures come from
Centralia's 24th-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 Centralia's dominant indirect exposure actually means, with real examples from across the dataset.