Abstract

SummaryBackgroundProjections of future mortality and life expectancy are needed to plan for health and social services and pensions. Our aim was to forecast national age-specific mortality and life expectancy using an approach that takes into account the uncertainty related to the choice of forecasting model.MethodsWe developed an ensemble of 21 forecasting models, all of which probabilistically contributed towards the final projections. We applied this approach to project age-specific mortality to 2030 in 35 industrialised countries with high-quality vital statistics data. We used age-specific death rates to calculate life expectancy at birth and at age 65 years, and probability of dying before age 70 years, with life table methods.FindingsLife expectancy is projected to increase in all 35 countries with a probability of at least 65% for women and 85% for men. There is a 90% probability that life expectancy at birth among South Korean women in 2030 will be higher than 86·7 years, the same as the highest worldwide life expectancy in 2012, and a 57% probability that it will be higher than 90 years. Projected female life expectancy in South Korea is followed by those in France, Spain, and Japan. There is a greater than 95% probability that life expectancy at birth among men in South Korea, Australia, and Switzerland will surpass 80 years in 2030, and a greater than 27% probability that it will surpass 85 years. Of the countries studied, the USA, Japan, Sweden, Greece, Macedonia, and Serbia have some of the lowest projected life expectancy gains for both men and women. The female life expectancy advantage over men is likely to shrink by 2030 in every country except Mexico, where female life expectancy is predicted to increase more than male life expectancy, and in Chile, France, and Greece where the two sexes will see similar gains. More than half of the projected gains in life expectancy at birth in women will be due to enhanced longevity above age 65 years.InterpretationThere is more than a 50% probability that by 2030, national female life expectancy will break the 90 year barrier, a level that was deemed unattainable by some at the turn of the 21st century. Our projections show continued increases in longevity, and the need for careful planning for health and social services and pensions.FundingUK Medical Research Council and US Environmental Protection Agency.

Highlights

  • In high-income countries, except in periods of war, famine, and infection outbreaks, national life expectancy has increased steadily for decades, there has been stagnation or decline in poor and marginalised groups.[1,2,3] At the same time, due to variations in the pace of increase, the country with the highest life expectancy has changed several times.[3]Projections of future mortality and life expectancy are needed to plan for health and social services and pensions

  • Interpretation There is more than a 50% probability that by 2030, national female life expectancy will break the 90 year barrier, a level that was deemed unattainable by some at the turn of the 21st century

  • Taking model uncertainty into account, we project that life expectancy will increase in all of these 35 countries with a probability of at least 65% for women and 85% for men, the increase will vary across countries

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Summary

Introduction

In high-income countries, except in periods of war, famine, and infection outbreaks, national life expectancy has increased steadily for decades, there has been stagnation or decline in poor and marginalised groups.[1,2,3] At the same time, due to variations in the pace of increase, the country with the highest (frontier) life expectancy has changed several times.[3]. Projections of future mortality and life expectancy are needed to plan for health and social services and pensions. Most current mortality and life expectancy projections rely on a single model, selected based on either theoretical considerations or a comparison of a few models.[4] Due to differences in methodology, such projections vary across studies. This discrepancy indicates that there is uncertainty about model choice, which is not taken into account when a single model is used

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