Salineño North, TX
How exposed is Salineño North to wildfire?
USFS's Wildfire Risk to Communities model puts Salineño North at the 94th national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 96 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Salineño North at the 94th national percentile — 1 points below its risk-to-structures score, a gap driven by how much is actually built there.
Where Salineño North's buildings actually sit
Direct exposure dominates in Salineño North: 99% of its 96 buildings, versus 1% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Salineño North ranks
There's little gap between Salineño North's 94th national percentile and its 94th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Salineño North ranks 1,807 for wildfire risk (1 is highest) and 29,248 by building count (1 is largest). Within Texas alone, it ranks 113 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Salineño North
At the 94th percentile nationally, Salineño North carries the very 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.
What would actually reduce this score
Because Direct exposure dominates in Salineño North (99%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Salineño North's figures come from
The methodology guide shows exactly how USFS turned 96 counted buildings into the percentiles shown above for Salineño North. The exposure-zones guide covers what Salineño North's dominant direct exposure actually means, with real examples from across the dataset.