El Niño’s Hurricane Suppression Is No Safety Net for Insurers

Why a Quieter Storm Count Leaves Insurers More Nervous Than Ever

The periodic El Niño climate pattern has long been a welcome signal for property insurers, historically bringing fewer Atlantic hurricanes and a lower chance of massive payouts. But that old equation is breaking down. As warmer waters in the Pacific suppress cyclone formation this season, industry leaders are warning that a benign storm count no longer translates into a benign year for balance sheets.

The reason is straightforward: decades of explosive population growth along U.S. coastlines—40 million more residents in coastal counties since 1970—combined with steep rises in property values and construction costs. According to catastrophe modelers and reinsurance executives, what matters today is not how many storms form, but whether even one makes landfall in a dense, high-value urban corridor.

“All it takes is one landfalling hurricane to create an insured loss of a magnitude we’ve never seen before … And that could absolutely happen in an El Niño year,” says Kimberly Roberts, advisory leader of North American peril at Guy Carpenter. The 1992 season, coming at the tail of an El Niño, produced fewer storms than average but included Hurricane Andrew—which, if it hit today, would cost insurers close to $100 billion. By contrast, the hyperactive 2020 season, with 30 named storms, generated only $30 billion in insured losses because most stayed over water or sparsely populated areas.

Catastrophe modelers now estimate that a major hurricane striking Miami, Tampa, or Houston could easily surpass $100 billion in insured damage. Meanwhile, El Niño also brings above-average rainfall across the South, raising the odds of flood-related claims that further complicate the picture. “We’re seeing higher insured values, more concentration in coastal areas, and more complex supply chains,” says Monica Ningen, CEO of P&C Reinsurance US at Swiss Re. “That means the severity of a single event today can be materially higher than what we saw even a decade ago.”

The $100 Billion Landfall That Could Crush an Otherwise Quiet Season

Why Storm Counts Don’t Protect Balance Sheets Anymore

El Niño reduces the average number of named storms in the Atlantic—by about two, according to Verisk’s Jeffrey Strong—but that figure masks a brutal reality: the economic cost of hurricanes is decoupled from storm frequency. The explosion of insured value along the Gulf and Atlantic coasts, where property prices have climbed more than 70% and rebuilding costs more than 60% in a decade, means any landfalling hurricane now triggers larger claims regardless of the season’s total activity.

Insurers are shifting from a focus on seasonal storm tallies to the far more meaningful metrics of landfall location and the concentration of capital at risk. A major storm hitting a single wealthy ZIP code can produce losses that dwarf those of an entire active season that spins harmlessly offshore.

The Andrew Lesson: One Storm, $100 Billion

Hurricane Andrew is the industry’s recurring warning. Occurring on the heels of an El Niño cycle, it was one of the strongest storms to hit the U.S. despite a quiet year. The Swiss Re Institute estimates that if Andrew made landfall today, the insured bill would approach $100 billion—roughly three times the annual average for the 2016–2024 period. That single-event scenario is now the central stress test for underwriters and reinsurers, not the average seasonal forecast.

El Niño’s Overlooked Flood Risk

Beyond the wind, El Niño tends to increase heavy precipitation across the southern United States, driving a surge in flood, landslide, and water-related property damage. For insurers still treating flood as a separate line, this confluence of perils exposes coverage gaps and accumulation risk in coastal and inland zones alike. Carriers that rely solely on hurricane wind models risk being blindsided by the wet side of the phenomenon.

Models Are Racing to Keep Up

The challenge is compounded by the fact that history may be losing its predictive power. Steve Bowen, chief science officer at Gallagher Re, notes that shifting climate patterns mean “history has a limit in terms of how much it can teach us.” In response, insurers are pouring resources into next-generation catastrophe models that combine seasonal climate signals with granular property-level exposure, and they are experimenting with AI to process larger datasets. However, Myra Thomas of eMarketer cautions that AI can “only go so far,” underscoring the need for human judgment in a risk environment that is rewriting its own rules.

What the New Risk Reality Means for Insurance Executives and Policyholders

• Stress test portfolios against a single $100 billion event. The Karen Clark & Company finding that a Miami, Tampa, or Houston strike could cause insured losses above $100 billion should be a baseline scenario, even in an El Niño year.
• Incorporate flood and rainfall exposure. The added flood risk from El Niño requires integrated modeling that captures both wind and water damage, especially for properties in the South and along Atlantic river basins.
• Refresh property-level valuation data. With property values up over 70% and reconstruction costs up over 60% in a decade, outdated asset data leads to underinsurance and mispricing. Granular, current exposure data is essential for accurate underwriting and reinsurance placement.
• Don’t let a favorable seasonal outlook breed complacency. Policyholders—and insurers communicating with them—should treat seasonal hurricane forecasts as narrow scientific information, not as a signal to reduce coverage. A single landfall can erase a decade of calm.