The Global Risks Alliance (GRA)
Health and life insurance carry the risks of illness, disability, death and living longer than savings last. They sit beside social insurance and public health systems, and the boundary between private and public cover differs in every country. This page sets out how mortality, morbidity, longevity and pandemic risk develop, how they are measured, and which institutions decide what is covered, reserved and protected.
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Health and life insurance risk is the uncertainty in illness, disability and death and in how long people live after their savings start paying out. It covers longevity trends, medical cost growth, morbidity and pandemic shocks, and it sits beside social insurance and public health systems whose boundary with private cover differs in every country.
The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.
Health and life insurance · Insurer Alpha · Quarter 2
| Property, commercial | 202 | 65 | ▲ 3 | Above |
| Property, household | 218 | 66 | ▲ 1 | Within |
| Motor | 161 | 62 | ▲ 5 | Within |
| Health | 59 | 76 | ▲ 7 | Watch |
Social, health and longevity risk. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Improvements in mortality accumulate over decades. A small misjudgement of the trend compounds across annuity and pension liabilities, and the error is recognised only slowly as experience emerges.
Claims for illness and disability depend on incidence, recovery, treatment practice and the price of care. New therapies, ageing and changing diagnosis shift costs faster than tariffs and reserves adjust.
A pandemic raises mortality and morbidity at once, disrupts care, and hits asset values and operations at the same time, so life, health, business interruption and investment risks become correlated.
Voluntary cover attracts those who expect to claim; underwriting, waiting periods and pooling rules respond. Where public schemes withdraw or exclude, private cover meets demand it was not priced for.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Longevity risk | The risk that people live longer than assumed, so annuities and pensions pay out for longer than they were priced and reserved for. |
| Mortality improvement | The rate at which death rates at each age fall over time, projected with improvement scales in pricing and reserving. |
| Excess mortality | Deaths above the number expected from a baseline for the same period and population, used to measure the toll of pandemics and heatwaves. |
| Morbidity | The incidence and duration of illness and disability in a population, which drive health, disability and critical illness claims. |
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 |
|---|---|---|---|---|
| Age-specific mortality rate | deaths per thousand lives exposed | annual | Civil registration and insured experience | OBSERVED |
| Actual-to-expected mortality ratio | ratio | annual | Insurer experience studies | ESTIMATED |
| Period life expectancy at stated age | years | annual | National life tables | OFFICIAL |
| Excess mortality | deaths above expected baseline, P-score in percent | weekly to annual | Civil registration against a baseline | ESTIMATED |
| Disability incidence and recovery rates | claims per thousand lives per year | annual | Insurer experience studies | ESTIMATED |
| Out-of-pocket health expenditure | percent of current health expenditure | annual | National health accounts | OFFICIAL |
| Medical cost trend | annual change in claim cost per member, percent | annual | Health insurer claims data | REPORTED |
| Policy lapse rate | percent of policies per year | annual | Insurer persistency studies | REPORTED |
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 |
|---|---|---|
| Human Mortality Database | Detailed national mortality and population data for life tables | Free with registration, Creative Commons attribution |
| UN World Population Prospects | Population estimates and projections, mortality and fertility by country | Creative Commons attribution, IGO |
| WHO Global Health Expenditure Database | Health spending by source, including out-of-pocket and voluntary insurance | Creative Commons non-commercial, IGO |
| WHO Global Health Observatory | Mortality, morbidity and health system indicators by country | Free, WHO terms |
| Society of Actuaries experience studies and mortality tables | Insured mortality, morbidity and lapse experience, and improvement scales | Public reports, SOA terms |
| OECD Health Statistics | Health status, care resources and financing across member countries | Free, OECD terms |
| National statistics offices | Death registrations, causes of death and national life tables | Public, terms per office |
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 |
|---|---|---|
| Life insurers and pension fund trustees | What mortality improvement and longevity assumptions to adopt, and whether to transfer longevity risk | Experience studies, national trends and the spread between improvement scales |
| Health ministries and social insurance agencies | What the public scheme covers and how private cover may complement it | Out-of-pocket spending, coverage gaps and the distributional effect of each design |
| Insurance supervisors | Whether biometric assumptions and pandemic scenarios are adequately reflected in reserves and capital | Assumption benchmarks, stress scenarios and experience against expectation |
| Health insurers | How to set tariffs and benefit design under medical cost trend and community rating rules | Claims cost trends and pooling rules, labelled by source |
Life insurers and pension providers face longevity risk: if people live longer than assumed, annuity payments last longer than priced. Mortality improvements over many decades have made this a central concern. Pandemics produce the opposite shock, raising mortality and morbidity sharply over short periods. Health insurers face rising costs from medical technology, chronic disease and ageing populations.
The boundary between private insurance and public provision varies widely between countries. Where public systems are strong, private cover supplements them; where they are weak, private cover may be the main protection for those who can afford it. Gaps in health and life cover leave households exposed to catastrophic expenses. Public health science is studied at Health Nexus at The Global Centre for Risk and Innovation (GCRI).
Experience studies and projection models from actuarial mathematics.
Stochastic models of mortality improvement, with uncertainty through probability and statistics.
Scenario analysis of mortality, morbidity and asset effects together.
Future mortality trends are uncertain, pandemic effects vary by population, and health data raises privacy and fairness questions.
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.