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Research purpose. The study is focused on Covid-19 pandemic on the European Union. This study inves-tigates the current trends and trade-offs of Covid-19 pandemic and social inclusion trends in European countries. Design / Methodology / Approach. Methodology is based on conventional statistical index theory and statistics. The study investigates cases, deaths and key Covid-19 statistics. The research design combines key social inclusion statistics of the Eurostat to official Covid-19 statistics of the European Centre for Dis-ease Prevention and Control. Findings. The study reports basic trends of Covid-19 cases, deaths, deaths/cases and calculates these Covid-19 trends in relation to population in 28/30 European countries. This study reports trade-off -anal-yses of key social inclusion trends of European Union countries. Key indicators are linked to economic in-come, income distribution, poverty, gender issues and housing statistics. The 10 key indicators of social inclusion are analysed and reported with Covid-19 data. Statistical correlation analysis table is calculated with key European country indicators. The study reveals some relevant aspects of social inclusion policy of the European Union in relation to on-going Covid-19 crisis. Originality / Value / Practical implications. This paper demonstrates novel and exciting possibilities of transparent index calculation tools. Novel original results are provided by the authors. Value added and interesting results are delivered for European governments and business community. Results and findings of the study can be used in the planning of economic recovery policies in the European Union.

Research purpose. The study is focused on Covid-19 pandemic on the European Union. This study inves-tigates the current trends and trade-offs of Covid-19 pandemic and social inclusion trends in European countries. Design / Methodology / Approach. Methodology is based on conventional statistical index theory and statistics. The study investigates cases, deaths and key Covid-19 statistics. The research design combines key social inclusion statistics of the Eurostat to official Covid-19 statistics of the European Centre for Dis-ease Prevention and Control. Findings. The study reports basic trends of Covid-19 cases, deaths, deaths/cases and calculates these Covid-19 trends in relation to population in 28/30 European countries. This study reports trade-off -anal-yses of key social inclusion trends of European Union countries. Key indicators are linked to economic in-come, income distribution, poverty, gender issues and housing statistics. The 10 key indicators of social inclusion are analysed and reported with Covid-19 data. Statistical correlation analysis table is calculated with key European country indicators. The study reveals some relevant aspects of social inclusion policy of the European Union in relation to on-going Covid-19 crisis. Originality / Value / Practical implications. This paper demonstrates novel and exciting possibilities of transparent index calculation tools. Novel original results are provided by the authors. Value added and interesting results are delivered for European governments and business community. Results and findings of the study can be used in the planning of economic recovery policies in the European Union.