El Cenizo (Starr), TX
How exposed is El Cenizo (Starr) to wildfire?
El Cenizo (Starr)'s 83 buildings earn a 91st-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks El Cenizo (Starr) at the 92nd national percentile — 1 points above its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
100% of El Cenizo (Starr)'s 83 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 0% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
How El Cenizo (Starr) compares
El Cenizo (Starr) scores 91st nationally and 88th within Texas — close enough that its state context doesn't change the picture the national number already gives. Among the 31,521 US communities USFS scores, El Cenizo (Starr) ranks 2,722 for wildfire risk (1 is highest) and 29,785 by building count (1 is largest). Within Texas alone, it ranks 221 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in El Cenizo (Starr)
El Cenizo (Starr)'s very high rating (91st percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
What would actually reduce this score
Because 100% of El Cenizo (Starr)'s buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.
Where El Cenizo (Starr)'s figures come from
The methodology guide shows exactly how USFS turned 83 counted buildings into the percentiles shown above for El Cenizo (Starr). The exposure-zones guide covers what El Cenizo (Starr)'s dominant indirect exposure actually means, with real examples from across the dataset.