Port Deposit, MD
Port Deposit, MD's wildfire risk, in USFS's own numbers
Port Deposit's 234 buildings earn a 21st-percentile wildfire-risk score nationally under USFS's model — close to the middle of USFS's national wildfire-risk range. (Source: USFS's Wildfire Risk to Communities methodology.)
Fire likelihood alone (USFS's burn-probability figure) ranks Port Deposit at the 19th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.
What "at risk" means for the buildings here
Direct exposure dominates in Port Deposit: 61.1% of its 234 buildings, versus 37.2% Indirect and 1.7% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
Where Port Deposit ranks
There's little gap between Port Deposit's 21st national percentile and its 28th percentile inside Maryland, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Port Deposit ranks 24,931 for wildfire risk (1 is highest) and 23,667 by building count (1 is largest). Within Maryland alone, it ranks 382 of 527 places by risk. See the full county-by-county picture for Maryland on its state page.
What this risk score means for insurance
At the 21st national percentile, Port Deposit rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
What would actually reduce this score
Port Deposit's 61.1% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Port Deposit's figures come from
Port Deposit's 21st-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 Port Deposit's dominant direct exposure actually means, with real examples from across the dataset.