We document some evidence about effects of the Covid-19 pandemic on the cost of living in developing countries. We use data from the National Statistical Office of the Democratic Republic of Congo (DRC). Data are in weekly frequency. We propose a simple two-step strategy to evaluate the Covid-19 effect on the cost of living in the DRC. We consider two types of households: a typical household for the DRC and a typical household for Kinshasa –Kinshasa is the national capital and the largest city of the DRC. Then we compute the quasi-causal effect and the volatility differential for each household type. We show: First, in absolute terms, the consumption basket for a typical household in Kinshasa exhibits both a higher quasi-causal effect and a higher volatility differential than those observed from the consumption basket of a typical household for the whole country (i.e. the DRC). Second, in relative terms, the consumption basket for a typical household in Kinshasa exhibits higher quasi-causal effects than that for a typical household only in prices of food and non-alcoholic beverages and in prices of transport. Finally and more importantly, unlike developed countries where consumers spent more on food and other groceries during the pandemic, our results suggest that in response to the Covid-19 crisis, both the typical household in DRC and the typical household in Kinshasa spent more on health and communication. These findings highlight deep structural differences between developed countries, where health insurance is functional, and developing countries where patients generally face a deficit or lack of viable health insurance. Moreover, we argue expenditures on communication increased in response mainly to the lockdown measures, mobility restrictions or closing of national borders.