ANALYSIS OF DEMOGRAPHIC CHARACTERISTICS BASED ON E-DEMOGRAPHY DATA

Abstract

The introduction of digital technologies, the Internet and social media into human life provides new information and data sources for the study of demographic behavior. The article studies the analysis of demographic characteristics based on e-demographic data. The creation of an e-demographic system is one of the urgent issues for demographic research, the management of demographic processes and for the study of demographic behavior. The article is devoted to the analysis of demographic indicators. The article examines the existing international experience in the field of e-demography, analyzes the current state of research in the field of creating a single population register. In order to build an e-demographic system, it is proposed to integrate public registers in various fields into a single platform through a personal identification number. Demographic analyzes can be conducted information on social networks, mobile phones, banking systems, insurance companies, via traces in various search browsers. The article analyzes demographic characteristics based on e-demographic data. The experiment examined the analysis of demographic characteristics of graduates who studied abroad. Demographic analysis was conducted according to the age, sex, marital status, education level, specialty, country of study and other indicators of the graduates. K-Means model was used to divide the graduates into different clusters. According to the experience, it is possible to divide graduates who studied abroad into clusters according to their age. Thus, graduates of each cluster can be surveyed according to other demographic indicators. E-demography creates new opportunities for social research and population data monitoring. The establishment of an e-demographic system will allow for population statistics, online census monitoring, in-depth analysis of demographic processes and the study of demographic behavior. Citizens of each cluster will be able to conduct different analyzes according to income, field of work, education and other indicators. The research proposes to build an e-demographic system on the basis of a single state register. In future research, the data in the various registers will be analyzed in depth.

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