Nixon, TX
Nixon wildfire risk explained
Out of every US place USFS scores, Nixon lands at the 75th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 1,278 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Nixon at the 76th national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
Nixon's building exposure, zone by zone
Most of Nixon's buildings (58.7%) sit in the Indirect zone, where wind-blown embers rather than flame front are the mechanism USFS is scoring — ember-resistant vents and non-combustible roofing are the interventions this pattern favors, more than defensible space alone.
Where Nixon ranks
Inside Texas, Nixon sits at just the 46th percentile even though it scores 75th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Nixon ranks 7,863 for wildfire risk (1 is highest) and 10,209 by building count (1 is largest). Within Texas alone, it ranks 962 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Nixon and the insurance market
At the 75th 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.
Hardening a home in Nixon
With ember exposure the dominant pattern in Nixon (58.7% Indirect), vent screens and roofing material tend to matter more than lot clearing alone. The home-hardening guide covers both.
Where Nixon's figures come from
Every one of the two percentiles behind Nixon's 7,863-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 indirect exposure actually means, with real examples from across the dataset.