Crittenden, KY
Crittenden wildfire risk explained
Out of every US place USFS scores, Crittenden lands at the 23rd percentile for wildfire risk to structures — close to the middle of USFS's national wildfire-risk range — a figure built from its 1,268 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Crittenden's burn probability — fire likelihood with no building count factored in — sits at the 25th percentile nationally.
Crittenden's building exposure, zone by zone
Direct exposure dominates in Crittenden: 67.5% of its 1,268 buildings, versus 32.5% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.
How Crittenden compares
Crittenden's 42nd-percentile standing inside Kentucky outpaces its 23rd national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Crittenden ranks 24,328 for wildfire risk (1 is highest) and 10,256 by building count (1 is largest). Within Kentucky alone, it ranks 321 of 552 places by risk. See the full county-by-county picture for Kentucky on its state page.
Crittenden and the insurance market
At the 23rd national percentile, Crittenden rates moderate for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.
Lowering exposure, not just insuring around it
Crittenden's 67.5% 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 Crittenden's figures come from
Every one of the two percentiles behind Crittenden's 24,328-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Crittenden's dominant direct exposure actually means, with real examples from across the dataset.