Rennert, NC
Rennert, NC's wildfire risk, in USFS's own numbers
Out of every US place USFS scores, Rennert lands at the 83rd percentile for wildfire risk to structures — in USFS's highest wildfire-risk band nationally — a figure built from its 217 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)
USFS's separate burn-probability score — fire likelihood alone, before counting what's built there — puts Rennert at the 83rd percentile, close to its 83rd-percentile risk score.
Where Rennert's buildings actually sit
217 buildings are counted in Rennert, and 58.1% of them sit in USFS's Direct exposure zone — flame contact, not just ember cast, is the live possibility for most of them, against 0% rated Minimal.
Where Rennert ranks
There's little gap between Rennert's 83rd national percentile and its 91st percentile inside North Carolina, which means the state comparison mostly confirms what the national score already shows. Among the 31,521 US communities USFS scores, Rennert ranks 5,239 for wildfire risk (1 is highest) and 24,240 by building count (1 is largest). Within North Carolina alone, it ranks 67 of 772 places by risk. See the full county-by-county picture for North Carolina on its state page.
Shopping for coverage in Rennert
At the 83rd percentile nationally, Rennert carries the very 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.
What would actually reduce this score
Rennert's 58.1% Direct-exposure share means lot clearing around the structure typically outweighs any single material upgrade here. The home-hardening guide ranks the options for a place shaped like this.
Where Rennert's figures come from
The methodology guide shows exactly how USFS turned 217 counted buildings into the percentiles shown above for Rennert. The exposure-zones guide covers what Rennert's dominant direct exposure actually means, with real examples from across the dataset.