New Market, TN
New Market, TN's wildfire risk, in USFS's own numbers
New Market sits at the 70th percentile nationally for wildfire risk to structures — well above the national norm for wildfire risk — per USFS's Wildfire Risk to Communities model, built from its 942 counted buildings, not vegetation cover alone. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, New Market's burn probability — fire likelihood with no building count factored in — sits at the 75th percentile nationally.
What "at risk" means for the buildings here
942 buildings are counted in New Market, and 75.3% 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 New Market compares
New Market scores 70th nationally and 66th within Tennessee — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, New Market ranks 9,469 for wildfire risk (1 is highest) and 12,376 by building count (1 is largest). Within Tennessee alone, it ranks 171 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.
What this risk score means for insurance
At the 70th percentile nationally, New Market carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
New Market's 75.3% 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 New Market's figures come from
The methodology guide shows exactly how USFS turned 942 counted buildings into the percentiles shown above for New Market. The exposure-zones guide covers what New Market's dominant direct exposure actually means, with real examples from across the dataset.