Jackson, TN
Jackson wildfire risk explained
Jackson's 28,480 buildings earn a 41st-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 Jackson at the 43rd national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Jackson's building exposure, zone by zone
28,480 buildings are counted in Jackson, and 43.2% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 37.3% rated Minimal. At 28,480 buildings, this is a substantial built environment, so the shares below describe a real population of structures, not a handful of edge cases.
How Jackson compares
There's little gap between Jackson's 41st national percentile and its 30th percentile inside Tennessee, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Jackson ranks 18,609 for wildfire risk (1 is highest) and 422 by building count (1 is largest). Within Tennessee alone, it ranks 351 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
Shopping for coverage in Jackson
Jackson's elevated rating (41st 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
Jackson's 43.2% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Jackson's figures come from
The methodology guide shows exactly how USFS turned 28,480 counted buildings into the percentiles shown above for Jackson. The exposure-zones guide covers what Jackson's dominant direct exposure actually means, with real examples from across the dataset.