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Typhoon Fung-wong weakens in the Philippines; four dead
Typhoon Fung-wong caused severe flooding, landslides, and power outages, displacing over 1.4 million people and damaging at least 1,000 houses, officials said.
- On Sunday, November 9, 2025, Typhoon Fung-wong, locally Uwan, made landfall in Aurora province as a super typhoon with winds of 185 km/h, then weakened over the West Philippine Sea by Monday, November 10.
- Following back-to-back storms, Typhoon Fung-wong struck days after Typhoon Kalmaegi killed at least 224 people, while scientists warn warmer oceans and atmosphere intensify storms.
- More than 1 million people were evacuated, with nearly 320,000 remaining in evacuation centres, and Roberto Monterola said, `Our personnel rescued 14 people who were trapped on the roof of a house engulfed in flood in a low-lying neighbourhood`.
- Rescuers reported at least two deaths from flash floods in Catanduanes and building collapses in Catbalogan City, while the Philippine military deployed around 2,000 troops to assist and clear roads.
- PAGASA expects Uwan to move northwest on Monday and leave the PAR by early Tuesday, with heavy rain and storm surges likely to persist until it weakens by Friday, November 14.
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66 Articles
66 Articles
At least four people have died in the weakened Typhoon Fung-wong, which was one of the most powerful storms in the Philippines this year and made landfall as a so-called super typhoon. Authorities say...
·Aarhus, Denmark
Read Full ArticleThe death toll in the Philippines from Super Typhoon Fung-wong has risen to four. The storm made landfall on Sunday, days after the deadly Typhoon Kalmaegi.
·Amsterdam, Netherlands
Read Full ArticleMANILA, Philippines (AP) — Typhoon Fung-wong moved out of the northwestern Philippines on Monday after triggering floods and landslides, leaving entire provinces without power, at least four dead, and more than 1.4 million displaced…
·Calhoun, United States
Read Full ArticleCoverage Details
Total News Sources66
Leaning Left17Leaning Right10Center14Last UpdatedBias Distribution42% Left
Bias Distribution
- 42% of the sources lean Left
42% Left
L 42%
C 34%
R 24%
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