WildfireRiskFinder

Ransomville, NY

How exposed is Ransomville to wildfire?

Low
2ndpercentile nationally

Ransomville's 839 buildings earn a 2nd-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Ransomville's burn probability — fire likelihood with no building count factored in — sits at the 2nd percentile nationally.

What "at risk" means for the buildings here

839Total buildings
82.2%Direct exposure
0%Indirect exposure
17.8%Minimal exposure

Direct exposure dominates in Ransomville: 82.2% of its 839 buildings, versus 0% Indirect and 17.8% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

How Ransomville compares

Ransomville's risk sits at a similar level relative to New York (1st percentile statewide) as it does nationally (2nd) — this place isn't unusual for its own state either way. Among the 31,521 US communities USFS scores, Ransomville ranks 30,804 for wildfire risk (1 is highest) and 13,260 by building count (1 is largest). Within New York alone, it ranks 1,283 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Shopping for coverage in Ransomville

Ransomville's low rating (2nd percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Lowering exposure, not just insuring around it

Ransomville's 82.2% 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 Ransomville's figures come from

Ransomville's 2nd-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 Ransomville's dominant direct exposure actually means, with real examples from across the dataset.