The Global Risks Alliance (GRA)
A protection gap is the part of economic loss that no insurance covers. It falls on households, firms, lenders and public budgets, and it is widest where incomes are low, hazards are rising or cover has been withdrawn. This page sets out why gaps open and persist, how uninsured loss is transmitted through the economy, how the gap is measured, and which institutions decide how it is closed or carried.
GRA · Established · service level R0
The insurance protection gap is the part of economic loss that insurance does not cover. It falls on households, firms, lenders and public budgets, and it is widest where incomes are low, hazards are rising or insurers have withdrawn. It is measured as uninsured loss after events and modelled for future ones; public schemes, pools and parametric cover address parts of it.
How a storm crossing a trigger zone would set a payment. Real geography; synthetic storm and design terms.
Underinsurance and loss transmission. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Some risks are not insured at all; others are insured for less than their value, or with exclusions and deductibles that leave most of the loss with the owner. Both widen the gap.
Rising risk raises premiums beyond what households can pay, and insurers may withdraw where risk is judged uninsurable. Low income, informal tenure and missing distribution keep cover out of reach.
Uninsured loss depletes savings, forces asset sales and leads to loan defaults. It reaches banks through mortgage and business credit, and governments through emergency spending and contingent liabilities.
Governments, regional risk pools, development banks and microinsurance schemes take parts of the gap through parametric cover, reinsurance backstops and social protection. Each design carries basis risk and incentive effects.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Natural catastrophe protection gap | Economic losses from natural hazards minus insured losses, estimated per event or as a modelled annual average. |
| Parametric insurance | Cover that pays a pre-agreed amount when a measured index, such as wind speed or rainfall, crosses a set threshold, rather than on assessed loss. |
| Basis risk | The mismatch between a parametric or index payout and the loss the policyholder actually suffers. |
| Disaster risk finance | Arranging in advance the funds governments, firms and households need after a disaster, combining reserves, contingent credit, insurance and other instruments. |
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Natural catastrophe protection gap | uninsured share of economic loss, percent | annual | Catastrophe loss records | ESTIMATED |
| Insured share of economic loss by event | percent | per event | Catastrophe loss records | ESTIMATED |
| Household insurance take-up | percent of households with cover, by peril | survey cycle | Household surveys | OBSERVED |
| Premium affordability | premium as a percent of household income | annual | Premium and income statistics | ESTIMATED |
| Pre-arranged sovereign disaster risk finance | currency, by instrument | annual | Finance ministry and pool disclosures | OFFICIAL |
| Basis risk in parametric payouts | payout against assessed loss, ratio | per event | Pool and programme evaluations | ESTIMATED |
| Supervisory protection gap score | index | annual | Supervisory dashboard | OFFICIAL |
The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.
Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| EIOPA dashboard on insurance protection gap for natural catastrophes | Protection gap scores by country and peril in Europe | Public, EU reuse terms |
| Swiss Re Institute sigma resilience and protection gap reports | Estimates of uninsured loss by region and peril | Proprietary research, reports free to read |
| Munich Re NatCatSERVICE | Event records with economic and insured losses | Proprietary; summary statistics published |
| EM-DAT, CRED (UCLouvain) | Disaster events with reported economic losses and people affected | Free for non-commercial use, registration |
| World Bank Global Findex | Adult use of financial services, including insurance | Creative Commons attribution |
| Microinsurance Network Landscape of Microinsurance | Microinsurance coverage, products and premiums in emerging markets | Public report, terms per publisher |
| CCRIF SPC, African Risk Capacity and Pacific Catastrophe Risk Insurance Company reports | Policies, triggers and payouts of sovereign risk pools | Public reports |
Insurance Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Finance ministries | How much disaster loss to retain in the budget and how much to finance in advance or transfer | Loss exceedance curves for public assets and contingent liabilities, with the cost and basis risk of each instrument |
| Regional and national catastrophe pools | Which perils, triggers and limits to offer members, and at what price | Hazard and loss models, payout history, member exposure and basis risk analysis |
| Insurance supervisors | Whether a gap reflects market failure, conduct issues or rising risk, and what response fits | Gap scores by peril and region, with take-up and affordability evidence |
| Development banks and donors | Where premium support or capital for risk pools closes the gap with fair value | Coverage and affordability evidence read against the InsuResilience pro-poor principles |
Protection gaps arise from both demand and supply. On the demand side, cover may be unaffordable, risks underestimated, products poorly understood or trust low. On the supply side, insurers may lack data, distribution channels or capital, or may judge risks uninsurable at an acceptable price. Gaps are typically widest in lower-income countries and for natural catastrophes, but significant gaps exist everywhere, including for flood, earthquake, cyber and pandemic risks.
Uninsured losses transmit stress. Households draw down savings or fall into debt, firms close, lenders face defaults and governments fund relief and reconstruction, adding to fiscal pressure. Approaches to narrowing gaps include public-private pools, mandatory cover, microinsurance, parametric products and sovereign risk transfer, each with trade-offs.
Comparing modelled or observed economic losses with insured losses, drawing on extreme value theory and tail risk.
Surveys and behavioural studies of why people do or do not buy cover.
Comparative studies of public-private and parametric approaches.
Economic loss estimates are uncertain, insured loss data is incomplete in many markets, and gap measures depend on definitions.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.