The article presents the results of a sociological study of the problems of regional spatial development of the regions of the Siberian Federal district (SFD). There are the materials of the survey of residents of four regions of the SFD are analyzed, the socio-demographic and socio-economic situation in Western and Eastern Siberia is compared, and the opinions and assessments of the population of the main socio-economic indicators of regional development are considered; General and special in the social self-feeling, demographic and migration situation, lifestyle of the population of Western and Eastern Siberia. The research was carried out under the project “Modeling scenarios of spatial development of Siberia and the Russian Far East until 2030: features of the settlement system”, which won the RFBR competition. The main goal is to assess the current state of the resettlement system, develop strategic prospects and model alternative scenarios for the spatial development of the regions of the Siberian and Far Eastern Federal Districts. Based on the author's development of an empirical research model, a survey of respondents living in four Siberian regions was conducted in August 2019. The results of the survey allowed us to identify differences in migration preferences, a number of features of the economic potential and quality of infrastructure and social sphere.

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The article presents the results of a comparative analysis of two regions of Southern Siberia: the Altai and Tyva republics. The purpose of the study was to identify general patterns and individual features of the spatial development of these republics both at the regional and municipal level. The information base for the study was the results of sociological surveys of the population conducted in cities and villages of these two republics, as well as data from regional and municipal statistics of Rosstat. In the sociological research, the methods of questioning, generalization, statistical analysis, graphic analysis were used; to analyze demographic and economic processes, the following methods were used: cartographic, statistical, comparative analysis, forecasting, and specialization identification. Analysis of the demographic trends has shown the possibility of depopulation in the coming years in the Altai Republic and in the long term — in the Tyva Republic. Analysis of the data of sociological surveys demonstrates that for the cities of the Tyva Republic, the problems of communal services are key, and for the settlements of the Altai Republic- economic problems. A subjective assessment of the state and dynamics of the development of industrial enterprises is given, the level of development of small and medium-sized enterprises, promising economic specializations of the regions is estimated. Transport accessibility of cities and villages in the republics is estimated. Economic measures aimed at solving the existing problems and correcting the negative demographic trends are proposed. The results of the work can be used to develop priority measures of regional policy in order to develop the advantages of each of the regions and specific settlements.

The article considers the spatial distribution of migrants from the Asian countries from which the main influxof labor migration occurs in the regions of Russia. The purpose of the work is to identify the spatial patterns of the distribution of the migration flow. Hypothetically, it was assumed that the largest agglomerations in the country (Moscow, St. Petersburg), as well as resource regions (Khanty-Mansi Autonomous Okrug) were highly attractive for migrants. The information base for the study was the data of Rosstat, presented in the Unified Interdepartmental Information and Statistical System. The methods of description, comparative analysis, graphic, typological, zoning, statistical were used in the work. The spatial distribution and dynamics of migration from the countries of Central Asia are revealed: the Republic of Tajikistan, the Kyrgyz Republic, the Republic of Uzbekistan, the Republic of Turkmenistan. The Far-abroad countries characterized by the highest rates of immigration to Russia are identified: namely, the People’s Republic of China, the Republic of India, the Socialist Republic of Vietnam, the Republic of Afghanistan, the Syrian Arab Republic, the Republic of Turkey. For each of the countries, the specifics of the territorial distribution of migrants in Russia are indicated, the patterns of their spatial distribution are revealed. The dynamics of the migration process across the territory is reflected, new points of migration growth and regions with decaying growth are identified. The process of immigration to Russia has decreased, but has not stopped during the period of maximum restrictions in 2020, in incomplete 2021, there is a recovery growth of migration inflow. The main areas of the greatest attraction of migrants are identified: the vast Ural-Siberian region, the Moscow metropolitan agglomeration with adjacent regions, the regions of Southern Russia. The results of the work can be used by state authorities and business to predict social processes in the regions, indirectly assessthe economic situation in them, the situation on the regional labor markets. Prospective studies can be aimed at identifying patterns of intraregional, municipal distribution of the migration flow, and further tracking the dynamics and spatial distribution of migration, taking into account current statistical data.