Beebe, AR
Beebe wildfire risk explained
USFS's Wildfire Risk to Communities model puts Beebe at the 70th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 3,781 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Beebe at the 73rd national percentile — 4 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Beebe's buildings actually sit
61.3% of Beebe's 3,781 buildings fall in USFS's Indirect exposure zone — ember cast rather than direct flame — against 38.7% Direct and 0% Minimal. Vent screens and roofing material matter more here than lot clearing alone.
Beebe against the rest of the country
Beebe's risk sits at a similar level relative to Arkansas (55th percentile statewide) as it does nationally (70th) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Beebe ranks 9,537 for wildfire risk (1 is highest) and 4,442 by building count (1 is largest). Within Arkansas alone, it ranks 278 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Beebe and the insurance market
Beebe'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 Beebe
Beebe's 61.3% Indirect-exposure share points at embers, not flame contact, as the main pathway — ember-resistant vents and non-combustible roofing rank ahead of defensible space here. Detail in the home-hardening guide.
Where Beebe's figures come from
Beebe's 70th-percentile score and its burn-probability figure both come from the same USFS workbook, documented in the methodology guide. The exposure-zones guide covers what Beebe's dominant indirect exposure actually means, with real examples from across the dataset.