Kingston Springs, TN
Kingston Springs wildfire risk explained
USFS scores Kingston Springs at the 42nd national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 1,403 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Kingston Springs at the 45th percentile, close to its 42nd-percentile risk score.
Kingston Springs's building exposure, zone by zone
1,403 buildings are counted in Kingston Springs, and 87.5% 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% rated Minimal.
How Kingston Springs compares
There's little gap between Kingston Springs's 42nd national percentile and its 32nd percentile inside Tennessee, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Kingston Springs ranks 18,168 for wildfire risk (1 is highest) and 9,616 by building count (1 is largest). Within Tennessee alone, it ranks 343 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
Kingston Springs and the insurance market
At the 42nd national percentile, Kingston Springs 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
Because Direct exposure dominates in Kingston Springs (87.5%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Kingston Springs's figures come from
The methodology guide shows exactly how USFS turned 1,403 counted buildings into the percentiles shown above for Kingston Springs. The exposure-zones guide covers what Kingston Springs's dominant direct exposure actually means, with real examples from across the dataset.