EDN: https://elibrary.ru/hrguze
DOI: 10.21064/WinRS.2025.4.7
The article aims to develop and test new digital approaches to monitoring internal migration in Russia, focusing on Siberia and the Russian Far East. The study implements
the concept of a digital demographic observatory that integrates traditional statistical sources with big data. Based on aggregated official data for 2023, indicators of migration balance and efficiency are calculated for all federal districts, with a special emphasis on eastern regions. The results reveal persistent spatial imbalances in migration flows: centripetal migration leads to sustained population outflow from Siberia and the Far East and increased concentration in central and southern Russia. The use of GIS technologies, digital traces, and big data processing methods significantly enhances the spatial resolution and timeliness of migration monitoring. The study concludes that implementing digital demographic platforms is essential for the continuous analysis of migration dynamics and strategic regional development planning.
Acknowledgments: this work was supported by the Russian Science Foundation under grant № 25-78-30004 “Digital demographic observatory: development of a system for monitoring demographic processes in Russian regions using GIS technologies and big data”, https://rscf.ru/project/25-78-30004/.