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Weak Monsoon, Looming El Niño Cloud India's Second-Half Disaster Outlook

Weak Monsoon, Looming El Niño Cloud India's Second-Half Disaster Outlook

Global Insured Catastrophe Losses Fall to $44bn as El Niño Risk Builds

As a strengthening El Niño threatens to disrupt Asian weather patterns just as India's monsoon underperforms, Munich Re's mid-year catastrophe tally offers a deceptively calm baseline for the volatility insurers expect through year-end.

Global insurers absorbed $44 billion of a $112 billion natural catastrophe bill in the first half of 2026, according to Munich Re's benchmark half-year report released July 30. That leaves a 60% protection gap, a figure that matters more heading into a forecast "Super El Niño" than the modest year-on-year decline suggests.

H1 Losses Undershoot the Decade Average, But Not by Much

The $112 billion total and $44 billion insured figure sit close to, though slightly below, the ten-year inflation-adjusted average of $113 billion total and $50 billion insured. Against the five-year average of $136 billion total and $66 billion insured, the gap widens. Munich Re board member Thomas Blunck described the period as a reprieve rather than a trend reversal, noting that growing exposure keeps pushing future loss potential higher even when a given half-year comes in soft.

A Venezuela Earthquake and US Storms Set the Pattern

The costliest single event was a double earthquake in Venezuela on June 24, with magnitudes of 7.2 and 7.5, causing an estimated $30 billion in total losses but less than $1 billion insured, a protection gap of more than 96%. For insurers, the larger driver was US severe thunderstorm activity, which caused $30 billion in total losses and $22 billion insured, still below the region's ten-year average despite an April outbreak that produced roughly 100 tornadoes, including an EF4 twister with winds up to 290 km/h.

Asia-Pacific's Unusually Quiet Half

Asia-Pacific losses came in at just $8.7 billion, against a ten-year average of $32 billion, with only about $1 billion insured versus a $5 billion average. Munich Re's release specifically flags India within this section: monsoon rains arrived later than usual and remained significantly weaker than normal, while strengthening El Niño conditions raised the risk of drought-related impacts heading into the second half.

So What: Renewal Pricing Meets a Weak Monsoon

A soft global H1 typically eases pressure on reinsurance treaty pricing ahead of January renewals, the window when Indian insurers and GIC Re negotiate catastrophe cover for the year ahead. But Munich Re's own framing works against that read: low current losses coexist with rising exposure and a forecast Super El Niño that historically peaks toward year-end.

For India specifically, a delayed and weak monsoon is not a footnote. It is the input variable behind crop yields, rural income, and the claims profile of the government's PMFBY crop insurance scheme, which absorbs weather risk that global reinsurers ultimately help underwrite. Africa's experience this half, where a South African storm caused over $500 million in losses with only a fraction insured, is the sharper illustration of what a high protection gap does to recovery speed when capital has to come from governments and households instead of insurers.

"It's a dangerous mix," said Tobias Grimm, Munich Re's chief climate scientist, describing the combination of continued warming and a strengthening El Niño moving into the second half of the year.

What to Watch

Watch the January 1, 2026 reinsurance renewal cycle for whether soft H1 pricing holds or reverses on Super El Niño forecasts. Watch India's second-half monsoon and drought data, particularly any updates from the India Meteorological Department, given Munich Re's explicit flag on delayed and below-normal rainfall. And watch whether Asia-Pacific's unusually low H1 loss figure proves an anomaly or the start of a wider deviation from the region's ten-year average, since a reversion in H2 would fall squarely inside the El Niño window Munich Re describes as high-risk.


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