The paper focused on analysis of heterogeneous panel data characterizing recourses, conditions, levels, habits, and effects of online communication between people, enterprises and public organizations. The data were obtained from open access sources of federal and regional government bodies, social media, and service providers, and included statistics on key word searches, communities in social networks, demography of organizations, online purchasing, public online services, indicators of socioeconomics development, and ICT recourses. Multidimensional classification of regions and statistical analysis of dependencies between time-series data items let determine main factors of online socioeconomics activities and provided a technique of their forecasting.