Australian Longevity Calculator

Life Expectancy at Age: 60

Sex ⓘ

Area socio-economic measure (IRSAD) from:

If you know the IRSAD decile for your own local area, choose IRSAD Decile, which is more accurate.

IRSAD Decile Postcode

Postcode ⓘ

Total Personal Weekly Income ⓘ

Marital Status ⓘ

Home Ownership ⓘ

Yes includes homes owned outright and homes owned with a mortgage.

Type of Life Expectancy:

With future mortality improvements (cohort)

Using 2016–2017 mortality rates only (period)

Life Expectancy Summary

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Mortality Curve

About This Tool

This app helps Australians understand projected life expectancy based on socio-economic and demographic factors.

It uses data from the Person Level Integrated Data Asset (PLIDA), accessed via the Australian Bureau of Statistics' DataLab. The life expectancies are computed based on the 2016-2017 census population with improvement factors of ALT2015-17 (125 year).

Related Publications

Fei Huang, Francis Hui and Andrés Villegas (2025). Towards Fairer Retirement Outcomes: Socio-Economic Mortality Differentials in Australia. SSRN Working Paper.
Fei Huang, Francis Hui and Andrés Villegas (2025). Australian Socio-economic Retiree Mortality 2016-17. Harvard Dataverse. https://doi.org/10.7910/DVN/C0HRDE.
Pramo Samarasinghe, Fei Huang, Francis Hui and Andrés Villegas (2026). Towards Fairer Retirement Outcomes: Health-Related Mortality Modelling. Actuaries Institute.

Authors of the publications

Fei Huang, Francis Hui, Pramo Samarasinghe, and Andrés Villegas

Fei and Andrés are Associate Professors at the School of Risk and Actuarial Studies, UNSW Sydney. Francis is an Associate Professor at the Research School of Finance, Actuarial Studies, and Statistics, Australian National University. Pramo was an Honours student at the Australian National University and is now a research assistant at UNSW Sydney.

Acknowledgement

We thank the Australian Government Actuary Guy Thorburn and his team for their invaluable support in this project.

Disclaimer

This tool provides general statistical information about life expectancy for groups of people with the characteristics you select. It is not a prediction for any individual and does not take account of personal circumstances such as health or lifestyle. It is not financial, retirement, insurance, medical or legal advice and should not be the only basis for any decision. Estimates are based on 2016–2017 data and modelling assumptions, and carry statistical uncertainty. Before making decisions that depend on this information, consider speaking to a suitably qualified professional.

Project Lead Contact

Fei Huang (feihuang@unsw.edu.au | www.feihuang.org)

Download Data

You can download the modelled period-based probability of death (qx) for ages 60–100, covering all socioeconomic profiles below from the Harvard Dataverse, in the Australian Socio-economic Mortality Dataverse.

Download Dataset

How Did This Help You?

We’re interested in understanding how this tool supports real-world decisions, insights, or research. Whether you're a retiree, policymaker, educator, student, advisor, or researcher, your experience helps us improve this tool and demonstrate its impact.

If this tool helped you explore a scenario, inform a conversation, support a policy submission, or improve your understanding of retirement outcomes, we’d love to hear your story.

You can share as much or as little detail as you like. The form is optional and anonymous unless you choose to include your name or email. With your consent, we may include anonymised stories in research reporting or impact assessments.

Open the feedback form

The form opens in a new tab. You can also contact us directly at feihuang@unsw.edu.au.