Finnish experts have developed a productive life index that takes into account not only the loss of work capacity in paid employment, but also in informal labor such as caring for loved ones and performing household duties. The study revealed a significant gap between average life expectancy and the period of full work capacity, reflecting the real economic burden of an aging population.

Assessing Productive Life

Previously, demographic and economic indicators were based on overall life expectancy and considered only paid employment when analyzing the impact of diseases. This approach overlooked a significant portion of human activity, including unpaid work—such as cleaning, childcare, and volunteering—which are important for society but are not reflected in gross domestic product. There arose a need for a new metric that combines life expectancy with the actual decline in the body's functional abilities.

Research Methodology

The study involved 3,644 adult residents of Finland who completed digital questionnaires assessing their health, work absences, and reduced productivity due to illness. Based on this data, a mathematical scale was created where a score of one represented ideal work capacity and zero indicated complete inability to perform tasks. The resulting indices were compared with national mortality statistics.

Main Findings

The analysis showed a sharp decline in productivity with age. Loss of efficiency at work was more often due to working while ill than to official sick leave. In household labor, limitations caused by poor health were even more pronounced.

The average life expectancy for men in Finland is 80 years, and for women, 85 years. However, calculations showed that the period of full work capacity averages 43 years for men and 46 years for women. The remaining decades of life are accompanied by significant limitations due to illness.

Conclusions and Implications for Social Policy

Traditional methods significantly overestimate the actual level of social activity among the elderly. It is noted that the study model is based on self-assessments over the past seven days, which were extrapolated to the entire remaining life of a hypothetical generation.

Despite its limitations, the proposed index offers a convenient tool for assessing the burden of disease. The new methodology clearly distinguishes between mere physical survival and full participation in society, which can help governments more accurately evaluate the effectiveness of social programs.