WildfireRiskFinder

Why, AZ

Why wildfire risk explained

Elevated
60thpercentile nationally

USFS's Wildfire Risk to Communities model puts Why at the 60th national percentile for risk to structures, modestly above the national average for wildfire risk — a score built from 235 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Why at the 54th national percentile — 5 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

235Total buildings
53.2%Direct exposure
46.8%Indirect exposure
0%Minimal exposure

Direct exposure dominates in Why: 53.2% of its 235 buildings, versus 46.8% Indirect and 0% Minimal. Clearing space around a structure changes the outcome here more than any single building-material swap.

Where Why ranks

Why ranks lower within Arizona (26th percentile statewide) than its 60th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Why ranks 12,720 for wildfire risk (1 is highest) and 23,620 by building count (1 is largest). Within Arizona alone, it ranks 327 of 441 places by risk. See the full county-by-county picture for Arizona on its state page.

Why and the insurance market

Why's elevated rating (60th 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

With 53.2% of Why in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.

Where Why's figures come from

Why's 60th-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 Why's dominant direct exposure actually means, with real examples from across the dataset.