WildfireRiskFinder

Bogata, TX

How exposed is Bogata to wildfire?

High
78thpercentile nationally

Out of every US place USFS scores, Bogata lands at the 78th percentile for wildfire risk to structures — well above the national norm for wildfire risk — a figure built from its 800 buildings, not the land around them. (Source: USFS's Wildfire Risk to Communities methodology.)

Separately from the risk score above, Bogata's burn probability — fire likelihood with no building count factored in — sits at the 80th percentile nationally.

Where Bogata's buildings actually sit

800Total buildings
23.8%Direct exposure
76.3%Indirect exposure
0%Minimal exposure

Indirect exposure is dominant in Bogata (76.3% of 800 buildings): far enough from burnable vegetation to avoid flame contact, close enough for wind-blown embers. Only 23.8% sit in the Direct zone.

Where Bogata ranks

Bogata's 78th national percentile looks worse in isolation than its 55th ranking inside Texas does — this place is on the milder end for its own state, by 22 points. Among the 31,521 US communities USFS scores, Bogata ranks 7,007 for wildfire risk (1 is highest) and 13,638 by building count (1 is largest). Within Texas alone, it ranks 801 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.

Bogata and the insurance market

Bogata's high rating (78th percentile) puts it among the places where the national carrier-pullback trend is most relevant — not a guarantee of a coverage problem, but a reason to shop rather than assume.

What would actually reduce this score

Because 76.3% of Bogata's buildings sit in the Indirect zone, sealing the ember pathway (vents, roofing, gutters) is the intervention this page's data actually supports — see the home-hardening guide.

Where Bogata's figures come from

Bogata's 78th-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 Bogata's dominant indirect exposure actually means, with real examples from across the dataset.