• Small Area Estimation
• Big Data
• poverty measures
• auxiliary information

The presented thesis is an interdisciplinary study in the field of official statistics and big data. The main purpose of the thesis is to investigate the problem of poverty in small areas by analyzing population data obtained from official surveys and big data sources. To achieve this goal, the following tasks were completed. Analysis of methods of poverty estimation indicators in small areas has been conducted. The big data analysis methods for extracting poverty-related metrics from small area data was studied. The software tools for analyzing big data, small territories and calculating poverty metrics were developed. A case study on small area territories in Chile was designed and conducted.