Emhouse, TX
Emhouse, TX's wildfire risk, in USFS's own numbers
USFS scores Emhouse at the 83rd national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 122 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Emhouse at the 83rd percentile, close to its 83rd-percentile risk score.
What "at risk" means for the buildings here
USFS classifies 73.8% of Emhouse's buildings as Direct exposure, higher than its 26.2% Indirect share and far above its 0% Minimal share — a profile where 90 structures sit close enough to vegetation that lot clearing matters most.
How Emhouse compares
There's little gap between Emhouse's 83rd national percentile and its 70th percentile inside Texas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Emhouse ranks 5,309 for wildfire risk (1 is highest) and 28,086 by building count (1 is largest). Within Texas alone, it ranks 547 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Emhouse
Emhouse's 83rd-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
What would actually reduce this score
Because Direct exposure dominates in Emhouse (73.8%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Emhouse's figures come from
The methodology guide shows exactly how USFS turned 122 counted buildings into the percentiles shown above for Emhouse. The exposure-zones guide covers what Emhouse's dominant direct exposure actually means, with real examples from across the dataset.