Decomposition of life expectancy gaps by age between the Republic of Tuva and Moscow using the Arriaga method

Authors

DOI:

https://doi.org/10.25178/nit.2026.2.7

Keywords:

Arriaga decomposition, life expectancy, mortality, Russian region, Moscow, Republic of Tuva, Russia, age-specific mortality, demographic analysis

Abstract

This study investigates the differences in life expectancy between Moscow and the Republic of Tuva in Russia by applying the Arriaga decomposition method. Using official mortality data from 2023, we have constructed life tables for both regions, revealing a life expectancy at birth of 76.9 years in Moscow and 66.7 years in Tuva, resulting in a gap of approximately 10.3 years. The decomposition analysis has shown that the majority of the life expectancy difference is attributed to higher mortality rates in young and middle adulthood (20–49 years) in Tuva. Mortality differences in infancy and old age also contribute to the gap, but to a lesser extent.

The findings reveal that age groups corresponding to young and middle adulthood make the largest contributions to the overall life expectancy disparity between the two regions. The study highlights that while differences exist at all stages of life, addressing mortality among working-age adults would have the greatest impact on narrowing the gap.

The aim of the study is to quantify the age-specific contributions to the life expectancy gap between Moscow and Tuva and to identify the critical age groups most responsible for the observed differences. By analyzing the decomposition of mortality differences across age groups, the study provides a detailed understanding of the demographic mechanisms driving regional disparities in life expectancy within Russia.

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Published

01.06.2026

Issue

No. 2 (2026)

Section

Tuva yesterday, today, tomorrow

How to Cite

For citation:
Ryazantsev S. V., RakhmonovA. Kh. and Ryazantsev N. S. Decomposition of life expectancy gaps by age between the Republic of Tuva and Moscow using the Arriaga method. New Research of Tuva, 2026, no. 2, pp. 95-107. DOI: https://doi.org/10.25178/nit.2026.2.7

Для цитирования:
Ryazantsev S. V., RakhmonovA. Kh. and Ryazantsev N. S. Decomposition of life expectancy gaps by age between the Republic of Tuva and Moscow using the Arriaga method // Новые исследования Тувы. 2026. № 2. С. 95-107. DOI: https://doi.org/10.25178/nit.2026.2.7

Author Biographies

  • Sergey V. Ryazantsev Institute of Social Demography of the FCTAS RAS; RUDN University; Mahidol University

    Doctor of Economics, Professor, Corresponding Member of the RAS; 

    Chief Researcher, Center for Comparative (International) Demographic Studies, Institute of Social Demography of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences;

    Professor, Department of International Economic Relations, RUDN University; 

    Professor, Institute for Population and Social Research, Mahidol University.

    Postal addresses: 6/1 Fotievoy St., Moscow, 119333; 6 Miklukho-Maklaya St., 117198 Moscow, Russian Federation; 999 Phuthamonthon 4 Road, Phuthamonthon, Salaya, 73170 Nakhon Pathom, Thailand. 

    E-mail: riazan@mail.ru

  • Abubakr Kh. Rakhmonov Institute of Social Demography of the FCTAS RAS

    Candidate of Economics, Senior Researcher, Institute of Social Demography of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences.

    Postal address: Bldg 1, 6 Fotieva St., 119333 Moscow, Russian Federation. 

    E-mail: abubak.93@mail.ru

  • Nikita S. Ryazantsev Institute of Social Demography of the FCTAS RA

    Junior Researcher, Institute of Social Demography of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences. 

    Postal address: Bldg 1, 6 Fotieva St., 119333 Moscow, Russian Federation. 

    E-mail: ryazantsev080700@ya.ru

Supporting Agencies

This article was prepared within the framework of the Research Program devoted to the study of the ethnocultural diversity of Russian society and aimed at strengthening all-Russian identity for 2026–2028, headed by Academician of the Russian Academy of Sciences V. A. Tishkov. Project No. “Ethnodemographic Atlas of Russia” (FMUS-2026-0002), headed by Corresponding Member of the Russian Academy of Sciences S. V. Ryazantsev.

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