Mortality Rate

Mortality rate is the probability that a person of a given age, gender, and risk profile will die within the next year, and it is the single most important input into life insurance pricing. Actuaries publish mortality rates as 'mortality tables' — schedules of death probabilities by age that underpin premium calculations for every term, endowment, and annuity product. In India, the IRDAI-notified Indian Assured Lives Mortality (IALM) table is the benchmark; the most recent update, IALM 2012-14, replaced the older IALM 2006-08 and reflected improvements in life expectancy over the intervening years.

Insurers layer their own experience on top — a proprietary underwriting mortality that may price smokers or higher-BMI lives at a multiple of standard-life mortality. Worked example: IALM 2012-14 shows roughly 0. 00094 (94 deaths per 100,000) annual death probability at age 30 for standard lives, 0.

00188 at age 40, 0. 00478 at age 50, and 0. 01356 at age 60.

This non-linear escalation — roughly doubling every decade after 30, more sharply after 50 — is the reason term insurance premiums rise so steeply with age. For a ₹1 crore term plan, the pure mortality charge at age 30 is roughly ₹9,400 a year (₹1 crore × 0. 00094), before any expense loading, profit margin, or GST; at age 50 the same exposure carries a pure mortality charge of ₹47,800, and at 60, ₹1,35,600.

The difference is the actuarial engine behind the advice to buy term cover young. A common misconception is that mortality rates reflect a fixed biological truth. They do not — they are empirical observations of past deaths, updated every few years as medical advances, lifestyle changes, and pandemics shift the probabilities.

The COVID-19 period caused a meaningful temporary uptick in certain age-gender cells, and reinsurers adjusted pricing in response for several quarters after 2021. Another common misconception is that women should pay the same mortality-driven premium as men at the same age. In reality, women in India (as elsewhere) have lower age-specific mortality than men, and regulators allow gender-differentiated pricing for life insurance; most Indian life policies price women roughly 15-30% cheaper at the same age, term, and sum assured.

Understanding the mortality rate lets you see why pricing differences by age, gender, and lifestyle (smoking, BMI) are actuarial rather than arbitrary. Related: underwriting, term insurance, persistency ratio.