Vaishno Devi Landslide Injures 4 Pilgrims After Heavy Rains; IMD Issues ORANGE ALERT for Uttarakhand, 3 More States
REASI DISTRICT, JAMMU AND KASHMIR, JUL 21 – Heavy rainfall caused a landslide on the old pilgrimage track to Shri Mata Vaishno Devi shrine, injuring nine pilgrims and killing one, officials said.
- On Monday, July 21, 2025, heavy rains triggered a major landslide along the traditional pilgrimage route near Katra in Jammu and Kashmir’s Reasi area, injuring at least ten people, including five devotees traveling to the Vaishno Devi temple.
- The landslide occurred as a result of intense rainfall in Katra town and the surrounding area during the peak monsoon season, compounded by environmental strain caused by human activities.
- Rescue and debris removal efforts are actively being carried out by local volunteers alongside members of the shrine administration, SDRF, police, and CRPF, while the yatra has been temporarily halted until 1 p.m. as a safety precaution.
- Over the 24-hour period ending Monday morning, Katra experienced rainfall measuring 184.2 mm, prompting the India Meteorological Department to issue orange alerts for Jammu and Kashmir, Uttarakhand, Telangana, and Himachal Pradesh due to heavy rain and potential flooding.
- The incident highlights increasing climate-related disasters in the region, with experts warning that unnecessary human activity on fragile ecological zones exacerbates these hazards and urging strategic environmental action.
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Horrible accident! On the way to Vaishno Devi, a stone fell from above, people ran away in fear, almost crushed their feet
·India
Read Full ArticleVaishno Devi landslide injures 4 pilgrims after heavy rains; IMD issues ORANGE ALERT for Uttarakhand, 3 more states
Vaishno Devi landslide: Fresh landslide triggered by heavy rains struck the old track to the Vaishno Devi shrine located Reasi district \of Jammu and Kashmir on July 21. IMD issued orange alert for Uttarakhand and 3 other states.
·New Delhi, India
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Leaning Left2Leaning Right3Center1Last UpdatedBias Distribution50% Right
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L 33%
C 17%
R 50%
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