New Hope, TX
New Hope, TX's wildfire risk, in USFS's own numbers
New Hope's 444 buildings earn a 70th-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.)
Fire likelihood alone (USFS's burn-probability figure) ranks New Hope at the 69th national percentile — 0 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
98.2% of New Hope's 444 buildings sit in USFS's Direct exposure zone, roughly 436 structures close enough to burnable vegetation for flame contact, not just embers — 1.8% fall in the Indirect, ember-only zone and 0% are Minimal.
Where New Hope ranks
New Hope ranks lower within Texas (30th percentile statewide) than its 70th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, New Hope ranks 9,625 for wildfire risk (1 is highest) and 18,392 by building count (1 is largest). Within Texas alone, it ranks 1,261 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
New Hope and the insurance market
New Hope's 70th-percentile, 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.
Hardening a home in New Hope
New Hope's 98.2% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where New Hope's figures come from
Every one of the two percentiles behind New Hope's 9,625-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what New Hope's dominant direct exposure actually means, with real examples from across the dataset.