USING OPEN DATA ONLINE VACANCIES IN COMPARISON WITH OFFICIAL STATISTICS TO MONITOR AND FORECAST LABOR MARKET DYNAMICS

Structuring the properties of the population is an integral part of analyzing the standard of living. It allows for a shift from abstract indicators to specific measures that take into account the diverse needs of different groups. Without this, neither effective social policy nor the achievement of sustainable development goals is possible. The quality of the population, as an integral category, encompasses numerous characteristics such as age structure, education level, professional qualifications, health, and cultural traits, which determine economic activity and sustainable development of a region. However, there is still no universally accepted classification of population properties, which complicates planning and forecasting. The aim of the article is to develop a classification of population properties in a region that can be used for managing demographic development. The author sets the task of structuring qualitative characteristics of the population to move from abstract indicators to specific measures that consider the diverse needs of various groups. The information sources used in the article include the Russian National Corpus, scientific publications from the eLIBRARY.RU electronic library, and the Google Scholar search engine. The study analyzes scientific approaches to defining the quality of the population, identifying key components such as health, education, cultural values, and demographic behavior. The research methodology involved a two-stage analysis. In the first stage, a linguistic corpus analysis and content analysis of scientific texts were conducted to identify adjectives collocating with the term "population composition" and associated with demographic processes. In the second stage, key facets were extracted using intent analysis, and a classification of population property elements was developed based on a structural-functional approach. The results of the study are presented as a classification that includes physiological, gender, socio-economic, ethnic, cultural, and migration characteristics of the population. The proposed classification enables a more accurate analysis of the demographic situation in a region, forecasting economic activity, and developing targeted social programs. The conclusions of the work emphasize the importance of considering the diversity of population properties for the sustainable development of regions. The developed classification can be used for planning socio-economic policies, improving the quality of life of the population, and ensuring the long-term development of territories.