WildfireRiskFinder

Nixon, TN

Nixon wildfire risk explained

High
64thpercentile nationally

Nixon's 348 buildings earn a 64th-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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Nixon at the 66th percentile, close to its 64th-percentile risk score.

What "at risk" means for the buildings here

348Total buildings
96.8%Direct exposure
3.2%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Nixon: 96.8% of its 348 buildings, versus 3.2% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

How Nixon compares

Nixon scores 64th nationally and 56th 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, Nixon ranks 11,484 for wildfire risk (1 is highest) and 20,379 by building count (1 is largest). Within Tennessee alone, it ranks 223 of 502 places by risk. See the full county-by-county picture for Tennessee on its state page.

Shopping for coverage in Nixon

At the 64th percentile nationally, Nixon 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

Because Direct exposure dominates in Nixon (96.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Nixon's figures come from

Every one of the two percentiles behind Nixon's 11,484-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Nixon's dominant direct exposure actually means, with real examples from across the dataset.