Nolensville, TN
Nolensville, TN's wildfire risk, in USFS's own numbers
USFS scores Nolensville at the 25th national percentile for wildfire risk to structures (close to the middle of USFS's national wildfire-risk range), a figure built from 4,761 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nolensville at the 27th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Nolensville's buildings actually sit
USFS classifies 54% of Nolensville's buildings as Direct exposure, higher than its 46% Indirect share and far above its 0% Minimal share — a profile where 2,569 structures sit close enough to vegetation that lot clearing matters most.
Where Nolensville ranks
Nolensville ranks lower within Tennessee (10th percentile statewide) than its 25th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Nolensville ranks 23,649 for wildfire risk (1 is highest) and 3,584 by building count (1 is largest). Within Tennessee alone, it ranks 453 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
Nolensville and the insurance market
At the 25th national percentile, Nolensville rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Nolensville's 54% 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 Nolensville's figures come from
The methodology guide shows exactly how USFS turned 4,761 counted buildings into the percentiles shown above for Nolensville. The exposure-zones guide covers what Nolensville's dominant direct exposure actually means, with real examples from across the dataset.