Norwood, OK
Norwood wildfire risk explained
Out of every US place USFS scores, Norwood lands at the 96th percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 1,383 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Norwood at the 97th national percentile — 2 points above its risk-to-structures score, a gap driven by how much is actually built there.
Where Norwood's buildings actually sit
99.9% of Norwood's 1,383 buildings sit in USFS's Direct exposure zone, roughly 1,381 structures close enough to burnable vegetation for flame contact, not just embers — 0.1% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Norwood ranks
There's little gap between Norwood's 96th national percentile and its 84th percentile inside Oklahoma, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Norwood ranks 1,361 for wildfire risk (1 is highest) and 9,700 by building count (1 is largest). Within Oklahoma alone, it ranks 136 of 834 places by risk. See the full county-by-county picture for Oklahoma on its state page.
Shopping for coverage in Norwood
Norwood's very high rating (96th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.
Hardening a home in Norwood
With 99.9% of Norwood 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 Norwood's figures come from
Norwood's 96th-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 Norwood's dominant direct exposure actually means, with real examples from across the dataset.