Insured Losses: Global Trends, the Protection Gap, and Climate Impact

Global insured losses from natural catastrophes reached $154 billion in 2024, marking the fifth consecutive year above $100 billion. Total economic losses hit $417 billion, leaving $263 billion uninsured. The gap between what disasters cost and what insurance covers continues to widen, driven by climate change, urbanization in hazard-prone areas, and the rising frequency of secondary perils like severe convective storms and wildfires.

For insurers, reinsurers, and financial institutions quantifying climate exposure, understanding insured loss trends is no longer optional. This article covers the definition, recent data, the protection gap by region, loss drivers, and how the industry estimates potential losses before disasters strike.

What Are Insured Losses?

Insured losses are the portion of economic damage from a catastrophe event covered by insurance policies. When a hurricane destroys $50 billion in property and infrastructure, the insured loss is whatever fraction of that damage policyholders can claim against active coverage.

The components of insured losses include:

  • Property damage to buildings, contents, and equipment covered under commercial or residential policies
  • Business interruption losses from suspended operations during and after the event
  • Additional living expenses for displaced homeowners with coverage
  • Liability claims from third-party injuries or damages

Economic losses include everything insured losses cover, plus all uninsured damage: government infrastructure, uninsured private property, agricultural losses, environmental cleanup, and displacement costs. Catastrophe modeling helps insurers estimate both figures before events occur, using simulations of thousands of potential scenarios.

Global Insured Loss Trends

The insurance industry has entered a new loss regime. Five years ago, a $100 billion insured loss year was exceptional. Now it is the baseline.

Global Insured vs Economic Losses from Natural Catastrophes
Year Insured Losses Economic Losses Gap Costliest Event
2019 $60B $150B 60% Typhoon Hagibis
2020 $97B $210B 54% US SCS / Iowa Derecho
2021 $121B $280B 57% Hurricane Ida
2022 $132B $275B 52% Hurricane Ian
2023 $108B $250B 57% Turkey-Syria earthquake
2024 $154B $417B 63% Hurricanes Helene / Milton

The 2024 figures represent a 27% increase over the 10-year average for insured losses, according to Gallagher Re’s annual Natural Catastrophe Report. Twenty-one separate events produced multi-billion-dollar insurance claims, surpassing the previous record of 17 set in 2023. Swiss Re projects the trend continues, with insured losses on pace to reach $145 billion again in 2025, and a 1-in-10 probability of hitting $300 billion in a single year.

Source: Swiss Re sigma research, Gallagher Re Natural Catastrophe Report 2024.

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The Protection Gap Explained

The protection gap is the difference between total economic losses and insured losses. Globally, about 60% of catastrophe losses go uninsured. That gap reached $263 billion in 2024 alone.

Where the gap falls hardest depends on geography and income level.

Insurance Protection Gap by Region
Region Insurance Penetration Protection Gap Key Driver
North America 55-65% 35-45% High property values, mature market
Europe 40-55% 45-60% Flood coverage gaps in many countries
Asia-Pacific 10-25% 75-90% Low adoption, high exposure growth
Latin America 10-20% 80-90% Low income, informal construction
Africa 3-5% 95-97% Very low insurance penetration
Global Average ~40% ~60% Wide variance by income and peril

Uninsured losses are not free. They fall on individuals who lose savings and homes, businesses that close permanently, and governments that fund disaster relief from public budgets. According to WTW’s 2024 Natural Catastrophe Review, the global protection gap has remained stubbornly close to 60% for over a decade despite growing awareness of climate risk.

Insured losses vs economic losses: the protection gap showing 263 billion dollars in uninsured catastrophe damage in 2024
The protection gap in 2024: $263 billion in natural catastrophe losses went uninsured. Source: Continuuiti, data from Gallagher Re.

What Drives Insured Losses Higher?

Climate Change

Warmer temperatures intensify the water cycle. The atmosphere holds roughly 7% more moisture per degree Celsius of warming, producing heavier rainfall and stronger storms. Hurricane rapid intensification events (jumping two or more categories in 24 hours) have become more frequent. Wildfire seasons extend longer and burn hotter as droughts deepen. These are not projections for 2050. They are patterns already visible in the claims data.

Urbanization and Exposure Growth

More assets sit in harm’s way every year. Coastal development continues despite known flood and storm surge risk. Property values rise, pushing up replacement costs. A hurricane that would have caused $5 billion in damage in 1990 causes $20 billion today, even at identical wind speeds, simply because more expensive buildings occupy the same land.

Secondary Perils

The insurance industry historically priced around “peak perils” like major hurricanes and earthquakes. Severe convective storms (SCS), floods, and wildfires were treated as background noise. That changed. In 2024, secondary perils accounted for 57% of total insured losses and SCS alone produced $64 billion in claims. These events are harder to model, more geographically dispersed, and their frequency is increasing. Assessing physical climate risk across a portfolio now requires accounting for these frequent, mid-severity events alongside low-frequency catastrophes.

Insured loss exposure driven by physical risk: composite risk score projections for 2030, 2040, and 2050
Composite risk scores project how physical risk exposure compounds over time under different climate scenarios. Source: Continuuiti.

Insured Losses by Peril Type

The composition of global insured losses has shifted. Tropical cyclones still generate the largest individual event losses, but severe convective storms now produce more aggregate annual damage across hundreds of smaller events.

Average Annual Insured Losses by Peril (2020-2024)
Peril Avg Annual Insured Loss Share Trend
Severe Convective Storms $40-55B 30-35% Steady increase, record in 2024
Tropical Cyclones $35-50B 28-35% Volatile, intensity increasing
Floods $15-25B 12-18% Growing, esp. Europe and Asia
Wildfires $8-15B 6-12% Highly variable, growing
Earthquakes $5-15B 5-12% Lumpy (single large events)
Winter Storms $5-10B 4-8% Stable

Flood-related insured losses are the fastest-growing category outside of SCS. Europe experienced record flood risk events in 2024, and Asia-Pacific flood exposure continues expanding as urbanization pushes into floodplains. For portfolio managers, flood risk now demands the same modeling rigor previously reserved for hurricane and earthquake.

How Insurers Estimate Potential Losses

Catastrophe Models

Insurers estimate insured losses before events occur using catastrophe models. These models simulate thousands of potential disaster scenarios through four modules: hazard (what could happen), exposure (what assets are at risk), vulnerability (how those assets respond to different hazard intensities), and financial (what the insured loss would be after policy terms apply).

The output includes metrics like probable maximum loss (PML) for underwriting individual properties, and average annual loss (AAL) for pricing portfolios. Full catastrophe models from vendors like RMS, AIR, and CoreLogic require significant licensing investment and specialized expertise to operate.

Screening-Level Damage Estimation

Not every organization needs a full catastrophe model. FEMA’s HAZUS model provides 196 depth-damage curves across 33 building occupancy types, separating structural and contents damage. These curves estimate damage ratios at a given flood depth, which can be multiplied by replacement values to produce loss figures.

HAZUS applies standard content-to-structure value ratios when contents coverage is unknown: 50% for residential buildings, 100% for commercial, and 150% for industrial. These defaults reflect typical relationships between building replacement cost and the value of contents inside. Research by Tate et al. found that flood loss estimates can vary by a factor of three depending on methodology choices, underscoring the importance of documenting assumptions and using multiple data sources.

For portfolio-level exposure screening, tools like Continuuiti’s Climate Value at Risk platform apply HAZUS and JRC depth-damage curves across building portfolios, providing TCFD/ISSB-aligned damage estimates without requiring full catastrophe model licensing.

Source: Munich Re NatCatSERVICE for historical loss benchmarks.

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Insured loss estimation: HAZUS structural damage ratio compared to JRC total damage ratio for flood damage
HAZUS vs JRC damage ratio comparison. HAZUS measures structural damage only; JRC combines structural and contents into a single ratio. Source: Continuuiti.

Climate Change and Future Insured Losses

Swiss Re estimates that climate change could increase global insured losses by 30-63% by mid-century under moderate warming scenarios. At the current trajectory, the $100 billion annual baseline will become $150-200 billion within a decade.

The core challenge is non-stationarity. Historical loss data, which underpins most catastrophe models and actuarial pricing, assumes the past predicts the future. Climate change breaks that assumption. A portfolio priced using 30 years of claims history may systematically underestimate forward-looking exposure if the underlying hazard frequency and intensity have shifted.

Only 9% of companies reporting physical risk to CDP in 2024 had invested in adaptation measures. The gap between knowing the risk and acting on it remains wide. For financial institutions required to disclose climate risk under TCFD or ISSB frameworks, quantifying climate value at risk across asset portfolios has shifted from optional to mandatory. The NOAA billion-dollar disaster database provides U.S.-specific historical context for calibrating these forward-looking models.

Frequently Asked Questions

What is the difference between insured losses and economic losses?
Economic losses represent all financial damage from a catastrophe, including damage to uninsured property, public infrastructure, and agriculture. Insured losses are the subset covered by active insurance policies. In 2024, global economic losses reached $417 billion while insured losses were $154 billion, leaving a 63% protection gap.

Why are insured losses increasing every year?
Three factors compound: climate change increases the frequency and intensity of severe weather events, urbanization places more valuable assets in hazard-prone areas, and inflation raises repair and replacement costs. Secondary perils like severe convective storms and wildfires now contribute as much annual insured loss as major hurricanes.

What is the protection gap in insurance?
The protection gap is the difference between total economic losses from natural catastrophes and the portion covered by insurance. Globally, about 60% of losses go uninsured. In developed markets, 40-60% of losses are covered. In emerging markets like Africa and parts of Asia, as little as 3-5% may be insured.

Which natural disaster causes the most insured losses?
Tropical cyclones cause the largest individual-event insured losses (Hurricane Ian caused roughly $50 billion in 2022). However, severe convective storms collectively produce more total annual insured loss because they occur far more frequently. In 2024, SCS accounted for 41% of global insured losses at $64 billion.

How do insurers estimate catastrophe losses before an event?
Insurers use catastrophe models that simulate thousands of potential disaster scenarios across four modules: hazard, exposure, vulnerability, and financial. These models produce metrics like probable maximum loss (PML) and average annual loss (AAL) to price policies and manage portfolio risk.

Insured losses from natural catastrophes are accelerating, driven by climate change, growing asset exposure, and the rising share of secondary perils. The protection gap leaves the majority of global losses uninsured, concentrating fiscal risk on governments and individuals. For insurers and financial institutions, the combination of non-stationary climate risk and regulatory disclosure requirements makes forward-looking loss estimation a baseline capability rather than a competitive advantage.

Govind Balachandran
Govind Balachandran

Govind Balachandran is the founder of Continuuiti. He writes extensively on climate risk and operational risk intelligence for enterprises. Previously, he has worked for 7+ years in enterprise risk management, building and deploying third-party risk management and due diligence solutions across 100+ enterprises.