Midway North, TX
Midway North wildfire risk explained
USFS's Wildfire Risk to Communities model puts Midway North at the 68th national percentile for risk to structures, well above the national norm for wildfire risk — a score built from 1,422 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 Midway North at the 70th percentile, close to its 68th-percentile risk score.
Midway North's building exposure, zone by zone
Midway North rates 61.1% Minimal exposure against just 38.9% Direct and 0% Indirect — of 1,422 buildings counted, few sit close enough to burnable vegetation for USFS to flag them individually.
Where Midway North ranks
Midway North ranks lower within Texas (27th percentile statewide) than its 68th national percentile suggests alone — a calmer spot in a state where wildfire risk generally runs high. Among the 31,521 US communities USFS scores, Midway North ranks 10,036 for wildfire risk (1 is highest) and 9,529 by building count (1 is largest). Within Texas alone, it ranks 1,315 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Midway North and the insurance market
At the 68th percentile nationally, Midway North carries the high rating that has pushed some carriers to limit new business in similarly-scored places elsewhere in the country. Worth comparing quotes rather than assuming last year's renewal terms still apply.
Lowering exposure, not just insuring around it
With 61.1% of buildings rated Minimal exposure, Midway North gets less benefit from structure hardening than a Direct- or Indirect-dominant place would — the home-hardening guide explains why the zone matters.
Where Midway North's figures come from
Midway North's 68th-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 Midway North's dominant minimal exposure actually means, with real examples from across the dataset.