Аннотация:The article is devoted to methods of simulating population and social environment in agent-based computational economy models: the agent model of the spatial development of the Russian Federation and the model of anemia dynamics among Russian population. We present structure of the models and their databases. Information support of the model is based on statistical yearbooks, SPARK-Interfax database, RLMS survey results and websites of the ministries, including demographic structure of the population, production, import, export, employment, financial characteristics of organizations and households and other parameters. Since this information is presented in different sources, it is necessary to convert it to the structure that matches the input tables. For this task we use iterative proportional fitting algorithm; as an example we show sequence of iterations for aggregating information about the regional labor market. The model database is filled with the objects, which are generated using initial modeling data; all required interrelations are set among them. Simulation results show objects that have been created in the Russian Federation and in a separate region.