Parsons, TN
Parsons, TN's wildfire risk, in USFS's own numbers
USFS scores Parsons at the 54th national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,400 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Parsons at the 57th national percentile — 3 points above its risk-to-structures score, a gap driven by how much is actually built there.
Parsons's building exposure, zone by zone
Of Parsons's 1,400 counted buildings, 62.5% carry Direct exposure and only 0% carry Minimal — a lopsided split that puts defensible-space clearing ahead of vents or roofing as the intervention worth doing first.
Parsons against the rest of the country
There's little gap between Parsons's 54th national percentile and its 49th percentile inside Tennessee, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Parsons ranks 14,387 for wildfire risk (1 is highest) and 9,630 by building count (1 is largest). Within Tennessee alone, it ranks 259 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
Shopping for coverage in Parsons
At the 54th national percentile, Parsons rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Parsons's 62.5% 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 Parsons's figures come from
Every one of the two percentiles behind Parsons's 14,387-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Parsons's dominant direct exposure actually means, with real examples from across the dataset.