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Moving Up: Migration between Levels of the Settlement Hierarchy in Russia in the 2010s

Author

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  • N. V. Mkrtchyan

    (Vishnevsky Institute of Demography, HSE University
    Institute for Social Analysis and Forecasting, Russian Presidential Academy of National Economy and Public Administration)

  • R. I. Gilmanov

    (Department of Population and Health Statistics, Federal State Statistics Service)

Abstract

Based on Russian data for 2011–2020, the population flow between seven levels of the settlement hierarchy has been estimated for the first time. Levels of the settlement hierarchy are represented by cities with different population sizes and their suburbs, as well as other urban and rural settlements. Indicators of migration increase (decrease) and demographic efficiency indicators in matrix form are calculated for the hierarchy levels. It is shown that the scale of this flow is affected by changes in the system of migration registration in Russia in the 2010s, namely, the auto return of migrants to their place of permanent residence after the end of the registration period at their temporary place of residence. The beneficiaries of “vertical migration” of population are cities with over 250 000 inhabitants; the biggest winners are the urban agglomerations of Moscow and St. Petersburg. Each next settlement hierarchy level gives the population “up” and receives replenishment from the lower “layers.” In contrast to countries where similar studies were conducted (United States, Canada, the Netherlands, etc.), there are no population flows from top to bottom in Russia, and upward flows have a very high efficiency; it is particularly high for Moscow, St. Petersburg, and their suburbs. Despite population movement between neighboring settlement hierarchy levels, its demographic effect is not as great as in jumpwise migrations. The calculations of the study are based on individual depersonalized migrant data, which made it possible to categorize migration flows to individual settlements in Russia. Spatial data referencing was carried out based on Rosstat codes unique for each settlement. This made it possible to analyze migration not between administrative units, but between settlements grouped by population size. It was also possible to identify how the peculiarities of accounting for migration influence population flow between the selected groups of settlements in the 2010s.

Suggested Citation

  • N. V. Mkrtchyan & R. I. Gilmanov, 2023. "Moving Up: Migration between Levels of the Settlement Hierarchy in Russia in the 2010s," Regional Research of Russia, Springer, vol. 13(2), pages 305-315, June.
    • Handle: RePEc:spr:rrorus:v:13:y:2023:i:2:d:10.1134_s2079970523700727
    DOI: 10.1134/S2079970523700727
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    References listed on IDEAS

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    1. L. B. Karachurina & N. V. Mkrtchyan, 2016. "The role of migration in enhancing settlement pattern contrasts at the municipal level in Russia," Regional Research of Russia, Springer, vol. 6(4), pages 332-343, October.
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    5. Petra A. Jong & Aleid E. Brouwer & Philip McCann, 2016. "Moving up and down the urban hierarchy: age-articulated interregional migration flows in the Netherlands," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 145-164, July.
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    8. Eveline S. van Leeuwen & Viktor A. Venhorst, 2021. "Do households prefer to move up or down the urban hierarchy during an economic crisis?," Journal of Geographical Systems, Springer, vol. 23(2), pages 263-289, April.
    9. N. K. Kurichev & E. K. Kuricheva, 2018. "Regional Differentiation of Buyers’ Activity in the Primary Housing Market of the Moscow Agglomeration," Regional Research of Russia, Springer, vol. 8(4), pages 322-333, October.
    10. E. A. Denisov, 2018. "Migration Processes in Cities of the Russian North in the 1990s–2010s," Regional Research of Russia, Springer, vol. 8(2), pages 158-168, April.
    11. T. G. Nefedova & I. L. Slepukhina & I. Brade, 2016. "Migration attractiveness of cities in the post-Soviet space: A case study of Russia, Ukraine, and Belarus," Regional Research of Russia, Springer, vol. 6(2), pages 131-143, April.
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    Cited by:

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