The Global Risks Alliance (GRA)
The catastrophe protection gap is the share of economic loss from disasters that is not insured. It is largest in low- and middle-income countries and for floods and earthquakes everywhere. Uninsured losses fall on households, firms and public budgets and slow recovery. This page sets out why catastrophe protection gaps persist, how they are measured, and which public and private institutions decide how they are closed.
Protection gaps · Cedent C-07 · Peril: tropical cyclone
| Retention | 0 | 42 | n/a | |
| Layer 1 | 75 | 117 | 14 | 1-in-13 |
| Layer 2 | 183 | 164 | 2 | 1-in-35 |
| Layer 3 | 352 | 207 | 1.3 | 1-in-200 |
Fig.Catastrophe model results. Design wireframe with placeholder names and illustrative values, not a record or a live system.
The catastrophe protection gap is the share of economic loss from natural and man-made catastrophes that is not insured. It persists through low demand, hard-to-insure perils and affordability, and shifts losses to households, lenders and budgets. Finance ministries, supervisors, insurers and pool boards hold the decisions.
How a storm crossing a trigger zone would set a payment. Real geography; synthetic storm and design terms.
Coverage, affordability and systemic consequences. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
People underestimate rare risks, expect public aid and find premiums unaffordable. Take-up stays low until after an event, when it is too late.
Highly correlated perils such as flood and earthquake need large capital. Without risk reduction or public backstops, private cover may be unaffordable or unavailable.
National pools, regional risk pools and government reinsurers spread risk and lower costs. Their design decides who is covered and what incentives they create.
Uninsured losses fall on public budgets through aid and reconstruction, on lenders through defaults and on households through lost assets and debt.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Insurance protection gap | The difference between economic losses and insured losses, for an event, a year or an expected annual figure. |
| Regional risk pool | A scheme through which several countries buy catastrophe cover jointly, such as CCRIF SPC. |
| Insurability | The conditions under which a risk can be covered at a price buyers can pay and insurers can sustain. |
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 |
|---|---|---|---|---|
| Insured share of economic catastrophe losses | percent | annual | Industry catastrophe loss records | ESTIMATED |
| Protection gap by peril | currency per year | annual | Modelled gap studies | MODELLED |
| Household catastrophe insurance take-up | share of households | periodic | Household surveys | OBSERVED |
| Regional risk pool coverage | currency of cover bought | annual | Pool annual reports | OFFICIAL |
| Public post-disaster spending | currency per event | per event | Budget records | OFFICIAL |
| EIOPA protection gap score for natural catastrophe | score by country and peril | periodic | EIOPA dashboard | ESTIMATED |
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 | Gap scores by country and peril in Europe | Free, EU reuse terms |
| Swiss Re Institute sigma natural catastrophe reports | Insured and economic losses by region | Proprietary research, reports free to read |
| Munich Re NatCatSERVICE | Event records with insured and economic losses | Proprietary; summary statistics published |
| CCRIF SPC, African Risk Capacity and PCRIC annual reports | Regional sovereign risk pool cover and payouts | Free to read, terms per pool |
| Global Shield against Climate Risks records | Pre-arranged finance packages for vulnerable countries | Free to read, terms to check |
Reinsurance and Catastrophe 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 | Whether to establish or join public pools and how to fund residual risk | Gap estimates, pool designs and fiscal exposure |
| Insurance supervisors | Whether market conduct and products support take-up | Take-up data and product reviews |
| Insurers and reinsurers | Whether to offer cover in high-gap markets | Exposure, model and distribution evidence |
| Pool boards | What cover to offer and at what price | Model results and member needs |
Gaps arise on both supply and demand sides. On the supply side, some risks are hard to insure because they are highly correlated, poorly understood or too large; flood in some regions has historically been one example. On the demand side, people may not buy insurance because of cost, limited awareness, distrust or the expectation of public assistance.
Gaps are widest in lower-income countries, where insurance penetration is low, but they also exist in high-income countries for particular perils. As hazards intensify in some areas, premiums may rise and insurers may withdraw, which can open gaps where cover was previously available.
Research links protection to recovery: insured households and businesses tend to recover faster, and economies with higher insurance coverage tend to experience smaller long-term output losses after disasters.
Estimating gaps from loss databases. Economic loss estimates are uncertain. See catastrophe loss data.
Comparing risk-based premiums with incomes, using actuarial methods.
Examining how insurance affects recovery. Causal evidence is limited.
Testing how gaps change under hazard and exposure scenarios.
Estimates of protection gaps depend on how economic losses are measured, which differs between sources.
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.