The Covid-19 pandemic, which first emerged in the Yuhan province of China in December 2019 and affected the world in a very short time, deeply affected/affects various sectors, especially the health sector. While some sectors are being affected negatively by the epidemic, other sectors are being affected positively. One of those sectors that are affected positively is the e-commerce sector. This is the result of the consumers' opinions that e-commerce is less risky and more practical. The aim of the study is to determine the socio-economic factors that affect the online shopping decision and online shopping frequency of the households in the NUTS 1 regions of Turkey during the Covid-19 pandemic. In the analysis using the Sequential Panel Probit model, "Household Information Technologies B Micro Data Set" for the years 2019-2021 published by the Turkish Statistical Institute is used. As a result of the analysis, it is concluded that household income, access to internet, having child/ren, age/gender/education level and employment status of household head have significant effects on online shopping.