Goshen, AR
Goshen wildfire risk explained
USFS's Wildfire Risk to Communities model puts Goshen at the 82nd national percentile for risk to structures, in USFS's highest wildfire-risk band nationally — a score built from 1,138 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Goshen at the 85th national percentile — 3 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
USFS classifies 95.2% of Goshen's buildings as Direct exposure, higher than its 4.8% Indirect share and far above its 0% Minimal share — a profile where 1,083 structures sit close enough to vegetation that lot clearing matters most.
How Goshen compares
There's little gap between Goshen's 82nd national percentile and its 88th percentile inside Arkansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Goshen ranks 5,569 for wildfire risk (1 is highest) and 11,024 by building count (1 is largest). Within Arkansas alone, it ranks 73 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Shopping for coverage in Goshen
At the 82nd percentile nationally, Goshen 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.
Hardening a home in Goshen
With 95.2% of Goshen in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Goshen's figures come from
Goshen's 82nd-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 Goshen's dominant direct exposure actually means, with real examples from across the dataset.