System Dynamics Modeling for Population Aging Projection in Indonesia

Abstract

Population aging has become a common situation in developed countries. Population aging is also considered a megatrend in demography. At present, some developing countries will soon experience the population aging, and Indonesia is one of them. Therefore, a population projection needs to be done, especially for the elderly population. System dynamics modeling is used to carry out the population aging projections in Indonesia. Population projections with system dynamics are carried out by dividing the population into categories: young age (0-14 years), adults (15-39 years), middle-aged (40-64 years), and elderly (65+ years). The results of the population projection using system dynamics modeling show that the number of the elderly population continues to increase each year. In 2025, the elderly population will be 20,570,260 residents. In 2035, the elderly population will be increased up to 29,357,190 residents. The comparison of the number of the elderly population with the total population in percentage will be 9.71% in 2035. Dependency ratio will reach 48.19. Meanwhile, the aging index will be 44.4 in 2035. By looking at the results of this population projection, it can be said that Indonesia continues to experience the population aging process.

Presenters

Muhammad Dhiya Ulhaq Muhammad Dhiya Ulhaq
Governance Manager, Next Policy, Indonesia

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

Economic and Demographic Perspectives on Aging

KEYWORDS

SYSTEM DYNAMICS MODELLING; POPULATION PROJECTION; POPULATION AGING

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