WildfireRiskFinder

Nemaha, IA

Nemaha wildfire risk explained

Low
9thpercentile nationally

USFS's Wildfire Risk to Communities model puts Nemaha at the 9th national percentile for risk to structures, among the lower wildfire-risk places nationally — a score built from 69 actual buildings. (Source: USFS's Wildfire Risk to Communities methodology.)

USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Nemaha at the 8th percentile, close to its 9th-percentile risk score.

Nemaha's building exposure, zone by zone

69Total buildings
8.7%Direct exposure
0%Indirect exposure
91.3%Minimal exposure

Nemaha rates 91.3% Minimal exposure against just 8.7% Direct and 0% Indirect — of 69 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.

Nemaha against the rest of the country

There's little gap between Nemaha's 9th national percentile and its 19th percentile inside Iowa, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Nemaha ranks 28,611 for wildfire risk (1 is highest) and 30,303 by building count (1 is largest). Within Iowa alone, it ranks 828 of 1,017 places by risk. See the full county-by-county picture for Iowa on its state page.

Shopping for coverage in Nemaha

At the 9th national percentile, Nemaha rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

Hardening a home in Nemaha

With 91.3% of buildings rated Minimal exposure, Nemaha gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.

Where Nemaha's figures come from

Nemaha's 9th-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 Nemaha's dominant minimal exposure actually means, with real examples from across the dataset.