WildfireRiskFinder

Iliff, CO

Iliff, CO's wildfire risk, in USFS's own numbers

Moderate
38thpercentile nationally

USFS's Wildfire Risk to Communities model puts Iliff at the 38th national percentile for risk to structures, close to the middle of USFS's national wildfire-risk range — a score built from 194 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Iliff at the 36th national percentile — 2 points below its risk-to-structures score, a gap driven by how much is actually built there.

Where Iliff's buildings actually sit

194Total buildings
16.5%Direct exposure
0%Indirect exposure
83.5%Minimal exposure

Iliff rates 83.5% Minimal exposure against just 16.5% Direct and 0% Indirect — of 194 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Where Iliff ranks

Iliff ranks lower within Colorado (7th percentile statewide) than its 38th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Iliff ranks 19,435 for wildfire risk (1 is highest) and 25,058 by building count (1 is largest). Within Colorado alone, it ranks 437 of 472 places by risk. See the full county-by-county picture for Colorado on its state page.

Shopping for coverage in Iliff

Iliff's moderate rating (38th percentile nationally) sits outside the range where wildfire risk alone reshapes an insurance market — still, a homeowner here loses nothing by comparing rates.

Hardening a home in Iliff

With 83.5% of buildings rated Minimal exposure, Iliff gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Iliff's figures come from

The methodology guide shows exactly how USFS turned 194 counted buildings into the percentiles shown above for Iliff. The exposure-zones guide covers what Iliff's dominant minimal exposure actually means, with real examples from across the dataset.