Insurance & risk transfer KPIs by sector (with ranges)

Global insured losses from natural catastrophes reached $140 billion in 2024, up from a ten-year average of $97 billion, yet the protection gap (uninsured losses as a share of total economic losses) remains above 55% worldwide. Insurance and risk transfer mechanisms are the financial backbone of climate adaptation, determining which communities rebuild after disasters, which infrastructure projects attract capital, and which corporate balance sheets survive extreme weather events. The KPIs that insurers, reinsurers, and risk transfer buyers track determine whether portfolios are priced for a 1.5°C world or a 3°C one.

Why It Matters

Climate change is repricing risk faster than most actuarial models can adjust. Between 2020 and 2025, US homeowner insurance premiums rose by an average of 33%, with states like Florida, Louisiana, and California experiencing rate increases exceeding 50%. Reinsurers including Swiss Re and Munich Re have raised catastrophe attachment points by 20-40% since 2022, pushing more retained risk onto primary insurers and ultimately onto policyholders and governments.

For investors, insurance KPIs serve as leading indicators of climate-related financial exposure. Loss ratios in property catastrophe lines signal physical risk accumulation. Combined ratios reveal whether underwriting discipline is holding under increased climate volatility. Protection gap metrics expose sovereign and municipal fiscal risk where uninsured populations face disaster costs absorbed by public balance sheets.

The regulatory landscape is accelerating measurement requirements. The EU's Solvency II review now mandates climate scenario analysis for insurers. The UK Prudential Regulation Authority requires climate stress testing across a range of warming pathways. The National Association of Insurance Commissioners (NAIC) in the US has expanded climate risk disclosure requirements for insurers writing over $100 million in annual premiums. Without consistent KPIs, these frameworks produce incomparable results across jurisdictions and firms.

Key Concepts

Loss ratio measures incurred losses (claims paid plus reserves) as a percentage of earned premiums. For property catastrophe lines, loss ratios above 60% signal elevated claims frequency or severity. Climate-driven loss ratios increasingly show non-stationarity, meaning historical averages are unreliable predictors of future performance.

Combined ratio adds the expense ratio to the loss ratio, capturing total underwriting profitability. A combined ratio below 100% indicates underwriting profit; above 100% means the insurer pays out more in claims and expenses than it collects in premiums. Climate-exposed lines have seen combined ratios exceed 110% in peak catastrophe years.

Protection gap quantifies the difference between total economic losses from disasters and insured losses, expressed as a percentage of total losses. The global protection gap averages 55-60%, but in emerging markets it exceeds 90%. Closing the gap requires new risk transfer products, public-private partnerships, and parametric insurance structures.

Parametric insurance pays out based on a predefined trigger (wind speed, rainfall level, earthquake magnitude) rather than assessed losses. This structure eliminates claims adjustment delays and reduces moral hazard. Parametric products are growing at 15-20% annually, driven by sovereigns, agriculture, and infrastructure sectors.

Catastrophe bonds (cat bonds) transfer peak catastrophe risk from insurers and reinsurers to capital market investors. Outstanding cat bond volume reached $47 billion in 2025, with average annual issuance of $16 billion. Cat bonds provide fully collateralized coverage, eliminating counterparty credit risk inherent in traditional reinsurance.

KPI Benchmarks by Sector

KPI	Sector	Low Range	Median	High Range	Unit
Property catastrophe loss ratio	US homeowner	45%	65%	120%	% of earned premium
Property catastrophe loss ratio	Commercial property	35%	55%	95%	% of earned premium
Combined ratio	Specialty catastrophe lines	85%	98%	130%	%
Combined ratio	General liability	90%	100%	115%	%
Protection gap	Advanced economies	30%	45%	60%	% of total losses
Protection gap	Emerging markets	80%	92%	98%	% of total losses
Cat bond spread over expected loss	All perils	3.0%	5.5%	9.0%	percentage points
Cat bond attachment probability	Industry loss triggers	1.0%	2.5%	5.0%	annual probability
Parametric payout speed	Sovereign pools	7	14	30	days after event
Parametric payout speed	Microinsurance	3	7	14	days after event
Climate VaR (1-in-100 year)	Property portfolio	3%	8%	18%	% of portfolio value
Insured-to-economic loss ratio	US hurricane	45%	55%	70%	%
Insured-to-economic loss ratio	Global flood	5%	15%	35%	%
Reserve adequacy ratio	Catastrophe reserves	100%	120%	160%	% of expected losses
Rate adequacy	Wind-exposed coastal	-10%	+5%	+25%	% vs. actuarial indication

What's Working

Catastrophe bond market expansion and diversification. The cat bond market hit record issuance in 2024 at $17.7 billion, with outstanding volume surpassing $47 billion. Investor appetite has broadened beyond dedicated insurance-linked securities (ILS) funds to include pension funds and sovereign wealth funds attracted by low correlation with financial markets. USAA, the California Earthquake Authority, and the World Bank have all used cat bonds to transfer tail risk efficiently. Spreads over expected loss have compressed from 7-8 percentage points in 2023 to 4-6 percentage points in 2025, reflecting improved investor confidence and increased competition for risk.

Parametric insurance scaling in vulnerable regions. The African Risk Capacity (ARC) has paid out over $130 million to member states since inception, with claims settled within two to four weeks of qualifying drought events. The Caribbean Catastrophe Risk Insurance Facility (CCRIF) made payments totaling $265 million across 63 payouts since 2007, with most payments reaching government treasuries within 14 days. In 2024, CCRIF expanded to include a fisheries parametric product covering climate-related ocean temperature events. These sovereign pools demonstrate that parametric structures can deliver measurable improvements in payout speed compared to traditional indemnity products, which often take months or years to settle.

Forward-looking risk models incorporating climate scenarios. Moody's RMS, Verisk, and CoreLogic have all integrated climate change scenarios into their catastrophe models. RMS Version 23 hurricane models incorporate sea surface temperature trends and atmospheric moisture projections, producing expected annual losses 20-30% higher than models based purely on historical experience. Swiss Re's Climate Economics Index now covers 36 economies and quantifies GDP-at-risk under different warming pathways. These model improvements give underwriters the tools to price for future climate conditions rather than past ones, though adoption remains uneven across the industry.

What's Not Working

Basis risk in parametric products undermines trust. Parametric insurance pays based on trigger measurements, not actual losses. When Hurricane Otis struck Acapulco in 2023, some parametric products failed to trigger because wind speed readings from available weather stations did not match modeled thresholds, even as the city sustained catastrophic damage. Basis risk, the gap between parametric payouts and actual losses, averages 10-25% for well-designed products but can exceed 50% in events where local conditions diverge from index measurements. Until trigger design and measurement infrastructure improve, adoption will face credibility challenges.

Retreat from high-risk markets creates protection gaps. State Farm, Allstate, and Farmers Insurance have reduced or ceased writing new homeowner policies in California, while multiple insurers have exited or curtailed operations in Florida and Louisiana. Citizens Property Insurance, Florida's insurer of last resort, grew to over 1.4 million policies by 2023 before legislative reforms began reducing its book. When private insurers withdraw, residual market mechanisms and state-backed plans absorb risk that is often underpriced, creating contingent liabilities for taxpayers. The US protection gap for flood risk alone exceeds $1 trillion in exposure, with only 4% of US homes carrying flood insurance outside FEMA's National Flood Insurance Program.

Inconsistent climate risk disclosure across insurers. Despite NAIC, PRA, and EIOPA requirements, climate risk disclosures vary dramatically in scope and quality. A 2024 Insure Our Future analysis found that only 28% of the world's 30 largest insurers published quantified climate scenario analyses aligned with TCFD recommendations. Many disclosures rely on qualitative narratives rather than portfolio-level Climate VaR metrics. Without standardized KPIs and mandatory disclosure frameworks, investors cannot compare climate risk exposures across insurers or assess underwriting adequacy for climate-impacted lines.

Key Players

Established Leaders

• Swiss Re: World's second-largest reinsurer with $42 billion in annual premiums. Operates the Swiss Re Institute, publishing the sigma series on global insured losses and protection gaps. Pioneer in climate risk quantification and nat-cat modeling.
• Munich Re: Largest reinsurer globally with $67 billion in gross premiums. Maintains the NatCatSERVICE database tracking natural catastrophe losses since 1980. Published climate change position statements since 1973.
• Lloyd's of London: Specialty insurance market processing $52 billion in gross written premiums. Mandates climate scenario analysis for all managing agents and publishes aggregate market climate risk reports.
• Berkshire Hathaway Reinsurance: Warren Buffett-led reinsurer providing large-scale catastrophe coverage. Known for disciplined underwriting through National Indemnity and General Re subsidiaries.

Emerging Startups

• Descartes Underwriting: Paris-based parametric insurance company using satellite data and climate models to design and trigger parametric products. Raised $120 million in Series B funding and covers risks across 40 countries.
• FloodFlash: UK-based parametric flood insurer using IoT water sensors as payout triggers. Delivers claims payment within 48 hours of sensor activation, reducing basis risk through on-site measurement.
• Arbol (dClimate): Decentralized climate data and parametric insurance platform. Uses blockchain-verified weather data for transparent trigger execution. Covers agricultural and energy sector climate risks.
• Kettle: US-based insurtech using machine learning to improve wildfire risk modeling. Provides reinsurance capacity for wildfire-exposed portfolios that traditional reinsurers have withdrawn from.

Key Investors and Funders

• ILS Capital Management (Fermat, Nephila, Elementum): Dedicated insurance-linked securities funds managing $30+ billion in catastrophe risk investments.
• World Bank Global Shield Financing Facility: Multilateral initiative to expand climate risk insurance in vulnerable developing countries, targeting $3 billion in protection by 2027.
• InsuResilience Global Partnership: G7-backed initiative aiming to provide 500 million people in vulnerable countries with climate risk insurance by 2025.

Action Checklist

1. Benchmark property catastrophe loss ratios against 10-year averages and forward-looking climate-adjusted projections to identify lines where historical pricing is inadequate.
2. Quantify portfolio-level Climate VaR under at least three warming scenarios (1.5°C, 2°C, 3°C) using vendor models from RMS, Verisk, or equivalent.
3. Track protection gap metrics for each market of operation and identify commercial opportunities in underserved segments (flood, parametric agriculture, emerging markets).
4. Evaluate parametric insurance products for tail-risk layers, assessing basis risk, trigger transparency, and payout speed against indemnity alternatives.
5. Monitor cat bond market pricing and consider ILS allocations as portfolio diversifiers with low financial-market correlation.
6. Implement climate risk disclosure aligned with TCFD and ISSB standards, including quantified scenario analysis and portfolio emission intensity metrics.
7. Assess reserve adequacy under climate-adjusted loss assumptions, targeting reserve ratios of 120%+ for catastrophe-exposed lines.

FAQ

What is a good combined ratio for catastrophe-exposed insurance lines? A combined ratio below 98% indicates underwriting profit after expenses and is considered strong performance for catastrophe-exposed lines. However, nat-cat lines are inherently volatile: a portfolio may run at 80% combined ratio for several years and then spike to 130%+ in a major event year. Multi-year combined ratios of 95-100% are generally considered sustainable for catastrophe reinsurers when investment income is factored in.

How do parametric insurance products compare to traditional indemnity coverage? Parametric products trade precision for speed. Payouts are triggered by measured indices (wind speed, rainfall, earthquake magnitude) and typically settle within 7-14 days, compared to months or years for complex indemnity claims. The tradeoff is basis risk: payouts may not match actual losses. Best practice pairs parametric coverage for immediate liquidity needs with indemnity coverage for comprehensive loss recovery.

What is the protection gap and why does it matter for investors? The protection gap represents uninsured economic losses from natural disasters. Globally, over $1.8 trillion in disaster losses went uninsured in the decade through 2024. For investors, the gap signals both opportunity (underserved markets for insurance products) and systemic risk (governments absorbing uninsured losses through fiscal deficits or reduced public services). Closing the protection gap is a stated priority of the G7, the Insurance Development Forum, and multilateral development banks.

How are climate scenarios used in insurance risk assessment? Insurers use climate scenarios to stress-test portfolios against plausible future states. Typical scenarios cover warming pathways of 1.5°C to 4°C by 2100, incorporating changes in hurricane frequency and intensity, sea-level rise, wildfire weather, and precipitation patterns. Outputs include projected changes in expected annual losses, probable maximum losses, and required capital reserves. The PRA and EIOPA now require regulated insurers to conduct and disclose results from such analyses.

Sources

1. Swiss Re Institute. "sigma: Natural Catastrophes in 2024." Swiss Re, 2025.
2. Artemis. "Catastrophe Bond and ILS Market Report: Full Year 2024." Artemis, 2025.
3. Caribbean Catastrophe Risk Insurance Facility. "Annual Report 2024." CCRIF SPC, 2024.
4. National Association of Insurance Commissioners. "Climate Risk Disclosure Survey Results 2024." NAIC, 2024.
5. Insure Our Future. "Scorecard on Insurance, Fossil Fuels and the Climate Emergency." Insure Our Future, 2024.
6. Prudential Regulation Authority. "Climate-Related Financial Risk: Thematic Feedback." Bank of England, 2024.
7. Insurance Development Forum. "Global Protection Gap Report." IDF, 2025.