Projection of Japan's Population 2022-2052

Thesis title: Projection of Japan's Population 2022-2052
Author: Novytskyi, Volodymyr
Thesis type: Diploma thesis
Supervisor: Miskolczi, Martina
Opponents: Hon, Filip
Thesis language: English
Abstract:
This thesis presents a comprehensive projection of Japan’s population from 2020 to 2050, focusing on the country’s well-documented demographic transformation: rapid population aging, persistent low fertility, and sustained population decline. Employing the cohort-component method, the analysis integrates dynamic assumptions for fertility and mortality alongside a fixed migration scenario, drawing on the most recent data from Japan’s national statistical sources and international demographic databases. Future total fertility rate (TFR) projections are developed using ARIMA time series and Bayesian hierarchical models. The study finds that Japan’s population is set to decline sharply—from approximately 126 million in 2020 to just above 102 million by 2050—while the proportion of elderly (65+) will surpass 35%. The analysis confirms the robustness of the applied methodology, as results closely track official projections from the National Institute of Population and Social Security Research (IPSS). Shifts in the age structure will intensify demographic pressures on the workforce and welfare systems, highlighting Japan’s position as a leading example of challenges that other developed societies will soon face. Beyond population numbers, the thesis discusses the broader implications of demographic change for policy and society. It concludes that mitigating the effects of population decline and aging will require integrated responses across family policy, labor markets, migration, and social support for the elderly. The findings offer evidence-based insights relevant to policymakers and researchers and contribute to ongoing debates on demographic sustainability in aging societies.
Keywords: Japan; Population projection; Cohort-component method; Fertility
Thesis title: Projection of Japan’s population, 2020–2050
Author: Novytskyi, Volodymyr
Thesis type: Diplomová práce
Supervisor: Miskolczi, Martina
Opponents: Hon, Filip
Thesis language: English
Abstract:
This thesis presents a comprehensive projection of Japan’s population from 2020 to 2050, focusing on the country’s well-documented demographic transformation: rapid population aging, persistent low fertility, and sustained population decline. Employing the cohort-component method, the analysis integrates dynamic assumptions for fertility and mortality alongside a fixed migration scenario, drawing on the most recent data from Japan’s national statistical sources and international demographic databases. Future total fertility rate (TFR) projections are developed using ARIMA time series and Bayesian hierarchical models. The study finds that Japan’s population is set to decline sharply—from approximately 126 million in 2020 to just above 102 million by 2050—while the proportion of elderly (65+) will surpass 35%. The analysis confirms the robustness of the applied methodology, as results closely track official projections from the National Institute of Population and Social Security Research (IPSS). Shifts in the age structure will intensify demographic pressures on the workforce and welfare systems, highlighting Japan’s position as a leading example of challenges that other developed societies will soon face. Beyond population numbers, the thesis discusses the broader implications of demographic change for policy and society. It concludes that mitigating the effects of population decline and aging will require integrated responses across family policy, labor markets, migration, and social support for the elderly. The findings offer evidence-based insights relevant to policymakers and researchers and contribute to ongoing debates on demographic sustainability in aging societies.
Keywords: Japan; Population projection; Fertility; Cohort-component method

Information about study

Study programme: Economic Data Analysis/Data Analysis and Modeling
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Informatics and Statistics
Department: Department of Demography

Information on submission and defense

Date of assignment: 29. 10. 2024
Date of submission: 26. 6. 2025
Date of defense: 2025

Files for download

The files will be available after the defense of the thesis.

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