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A Spatial Analysis of the Population Age Structure of Asian Russia and Neighboring Territories

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Abstract

We examine the age structure of the population as one of the main indicators that characterize the dynamics of demographic potential development. The age structure of the population of Asian Russia and neighboring territories of Kazakhstan, Mongolia, and China has been assessed based on statistical analysis (2010–2019). The triple coding method was employed for cartographic representation of the spatial and demographic dynamics. This method is based on the triangular Pere diagram, where demographic parameters are synthesized and have their own color code. The color scale of age structures of the population is represented as follows: yellow indicates the population older than the employable age, blue is the employable population, and purple is the population younger than the employable age. Based on the results we obtained, we suggest a classification of the regional age structure of the population in the Asian part of Russia and border regions of Kazakhstan, Mongolia, and China and generate schematic maps to visualize spatio-temporal changes in the demographic structure of the population in these regions. This research indicates that the triple coding method is complete and informative and has applied significance.

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Funding

This work was carried out within the framework of the budget project of the Baikal Institute of Nature Management of the Siberian Branch of the Russian Academy of Sciences (AAAA-A19-119060390027-8) and with partial financial support from the Russian Foundation for Basic Research (18-55-91047/20 Mong_omi, 19-55-44020 Mong_t, and 20-55-53030 GFEN_a).

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Correspondence to V. G. Ayusheeva, V. S. Batomunkuev, N. R. Zangeeva or N. V. Emelianova.

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Translated by K. Lazarev

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Ayusheeva, V.G., Batomunkuev, V.S., Zangeeva, N.R. et al. A Spatial Analysis of the Population Age Structure of Asian Russia and Neighboring Territories. Geogr. Nat. Resour. 42, 17–23 (2021). https://doi.org/10.1134/S1875372821010042

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  • DOI: https://doi.org/10.1134/S1875372821010042

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