Software implementation of demographic data analysis based on the unified population register

A unified population register is a key component of the e-demographic system. The register is based on the integrated databases exchanging both aggregated data and individual data between separate registers. The paper examines the analysis of demographic data on the basis of a unified population register. Population registers play an important role in obtaining information about the population. It should be noted that the COVID-19 pandemic has once again emphasized the importance of using administrative data as e-registers for demographic research. The paper provides an experimental analysis of demographic characteristics in the context of the COVID-19 pandemic based on the data of indi-viduals integrated into a unified register. The data on individuals in the study are hypothetical data taken from two separate registers: the population and health registers. A database was taken for 1000 people integrated into the unified register. The paper presents the program implementation of demographic data analysis. Demographic analysis was implemented in Jupyter Notebook 6.1.4., Python 3.8.5. The results show that the establishment of an e-demographic system requires the integration of various state registers for more detailed analy-sis. This will allow processing and analyzing larger and more multidimensional structured data at different time intervals. At the same time, the reliability of the information included in the register, the elimination of inconsistencies, and ensuring continuous updating of registration information for each individual are very important issues. Elimination of errors in registration data makes unified popula-tion registers a reliable source of information.