Telford, TN
Telford, TN's wildfire risk, in USFS's own numbers
Telford's 608 buildings earn a 71st-percentile wildfire-risk score nationally under USFS's model — well above the national norm for wildfire risk. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Telford at the 77th national percentile — 6 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Telford's buildings actually sit
USFS classifies 96.6% of Telford's buildings as Direct exposure, higher than its 3.5% Indirect share and far above its 0% Minimal share — a profile where 587 structures sit close enough to vegetation that lot clearing matters most.
How Telford compares
There's little gap between Telford's 71st national percentile and its 69th percentile inside Tennessee, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Telford ranks 9,057 for wildfire risk (1 is highest) and 15,720 by building count (1 is largest). Within Tennessee alone, it ranks 156 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
Shopping for coverage in Telford
Telford's 71st-percentile, high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Telford's 96.6% 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 Telford's figures come from
Telford's 71st-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 Telford's dominant direct exposure actually means, with real examples from across the dataset.