WildfireRiskFinder

Cordova, MD

Cordova, MD's wildfire risk, in USFS's own numbers

Elevated
41stpercentile nationally

USFS scores Cordova at the 41st national percentile for wildfire risk to structures (modestly above the national average for wildfire risk), a figure built from 446 real buildings rather than raw vegetation cover. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Cordova's burn probability — fire likelihood with no building count factored in — sits at the 41st percentile nationally.

Where Cordova's buildings actually sit

446Total buildings
67.7%Direct exposure
8.3%Indirect exposure
24%Minimal exposure

67.7% of Cordova's 446 buildings sit in USFS's Direct exposure zone, roughly 302 structures close enough to burnable vegetation for flame contact, not just embers — 8.3% fall in the Indirect, ember-only zone and 24% are Minimal.

Cordova against the rest of the country

Compare Cordova's two percentiles: 59th within Maryland, only 41st nationally — a gap of 18 points that marks it as unusually exposed for its own state. Among the 31,521 US communities USFS scores, Cordova ranks 18,746 for wildfire risk (1 is highest) and 18,349 by building count (1 is largest). Within Maryland alone, it ranks 217 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.

Shopping for coverage in Cordova

At the 41st national percentile, Cordova rates elevated for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Cordova

Because Direct exposure dominates in Cordova (67.7%), the highest-leverage fix is defensible space, not roofing or vents alone — covered in the home-hardening guide.

Where Cordova's figures come from

Cordova's 41st-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 Cordova's dominant direct exposure actually means, with real examples from across the dataset.