WildfireRiskFinder

Middleport, NY

Middleport wildfire risk explained

Low
2ndpercentile nationally

Middleport's 862 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.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Middleport at the 2nd percentile, close to its 2nd-percentile risk score.

Where Middleport's buildings actually sit

862Total buildings
30.4%Direct exposure
0%Indirect exposure
69.6%Minimal exposure

69.6% of Middleport's 862 buildings sit in USFS's Minimal exposure zone, with only 30.4% rated Direct — risk here comes from regional burn probability more than proximity to burnable vegetation at the structure itself.

Middleport against the rest of the country

Middleport's risk sits at a similar level relative to New York (0th 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, Middleport ranks 30,928 for wildfire risk (1 is highest) and 13,062 by building count (1 is largest). Within New York alone, it ranks 1,286 of 1,289 places by risk. See the full county-by-county picture for New York on its state page.

Middleport and the insurance market

Middleport'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.

What would actually reduce this score

Middleport's 69.6% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Middleport's figures come from

Middleport'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 Middleport's dominant minimal exposure actually means, with real examples from across the dataset.