Midland, AR
Midland wildfire risk explained
USFS scores Midland at the 84th national percentile for wildfire risk to structures (in USFS's highest wildfire-risk band nationally), a figure built from 201 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 Midland at the 87th percentile, close to its 84th-percentile risk score.
Where Midland's buildings actually sit
57.7% of Midland's 201 buildings sit in USFS's Direct exposure zone, roughly 116 structures close enough to burnable vegetation for flame contact, not just embers — 42.3% fall in the Indirect, ember-only zone and 0% are Minimal.
How Midland compares
There's little gap between Midland's 84th national percentile and its 91st percentile inside Arkansas, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Midland ranks 5,002 for wildfire risk (1 is highest) and 24,791 by building count (1 is largest). Within Arkansas alone, it ranks 56 of 614 places by risk. See the full county-by-county picture for Arkansas on its state page.
Shopping for coverage in Midland
Midland's 84th-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 Midland (57.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.
Where Midland's figures come from
Every one of the two percentiles behind Midland's 5,002-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Midland's dominant direct exposure actually means, with real examples from across the dataset.