Valuation mortality tables might sound like an arcane concept, but in Australia’s fast-evolving insurance and superannuation industries, they’re a critical pillar. As 2025 ushers in new regulatory standards and a data-driven approach to risk management, understanding how mortality tables work—and why they matter—is essential for anyone navigating life insurance, annuities, or long-term financial planning.
At its core, a valuation mortality table is a statistical chart that estimates the probability of death at each age for a given population. These tables are not just academic—they’re foundational tools used by actuaries and insurance providers to price life insurance premiums, set reserves, and ensure long-term financial stability. In Australia, valuation mortality tables are developed using large-scale demographic and health data, and are periodically updated to reflect shifts in longevity, public health, and medical advances.
With Australians living longer than ever and the financial services sector under increasing scrutiny, valuation mortality tables have taken on renewed significance. Recent APRA updates in 2025 require insurers and super funds to use the latest mortality assumptions for their statutory reporting and capital adequacy calculations. This shift ensures that product pricing and reserve setting remain robust amid demographic changes.
For example, a 45-year-old non-smoking woman may now be assessed with a lower mortality risk than a decade ago, resulting in lower insurance premiums and different reserve requirements for her policy.
Valuation mortality tables aren’t just an internal actuarial tool—they shape the experience and costs for everyday Australians. Here’s how:
For instance, the introduction of the 2025 Australian Life Tables (ALT) has prompted some super funds to recalibrate their pension product pricing, offering higher income streams to older retirees whose mortality risk has decreased compared to previous generations.
Looking ahead, advances in health analytics, wearable tech, and real-time data are expected to further refine mortality projections. Insurers are piloting dynamic pricing models that integrate personal health data (with consent), potentially making the traditional static mortality table more responsive and individualised. Meanwhile, APRA continues to consult with industry experts to ensure that the next generation of tables reflects the reality of Australia’s changing health landscape.