Experienced mortality is the actual death experience observed in an insured group and compared with the mortality that had been expected. In plain language, it shows what really happened, not what the pricing or reserve model assumed would happen.
Why insurers track it
Life insurers compare experienced mortality with expected mortality to test whether pricing and reserve assumptions are still valid. The comparison can reveal:
- better or worse underwriting selection than expected
- changes in health trends
- differences by product type, issue age, or policy duration
- whether mortality tables need updating for that block
This is one of the core feedback loops in life insurance management.
Why the comparison matters
If actual deaths run higher than expected, life claim cost can be worse than priced for. If actual deaths run lower than expected, ordinary life insurance can perform better, while annuity products can become more expensive because people live longer.
That means experienced mortality affects premium adequacy, reserves, product design, and long-term profitability.
Practical example
A life insurer studies a block of preferred nonsmoker policies issued five years earlier. The actual number of deaths is lower than the pricing model expected. That favorable experienced mortality may confirm strong underwriting selection or support changes to future pricing assumptions.