The global COVID-19 pandemic fostered the relocation of remote workers and freelancers from metropolitan to non-urban areas. During the first waves of the pandemic, regional migration flows affected the local demand for flexible working spaces in non-urban regions and attracted the interest of the local stakeholders. As a result, a growing number of coworking spaces (CSs) were established in non-urban areas. Yet the scientific discussion on what determines the location of non-urban CSs remains fragmented and has not been analyzed systematically. This chapter presents a systematic literature review (PRISMA) of recent evidence (2010–2022 publication period) on the topic of location factors of CSs in non-urban (rural) areas, and it outlines the main characteristics of CSs’ locations. Analysis is performed on the macro, meso, and micro spatial scales and, in addition, the COVID-19 factor is taken into account. The results of our study indicate that since 2010, the most frequently and continuously analyzed location factors have been those at the regional (meso) level. Secondly, the micro and macro levels of analysis have increasingly gained scientific interest since 2020 but have remained under-researched. Finally, our results show a gradually increasing frequency of occurrences of the COVID-19 factor, which since 2021 has been the most discussed location factor.

Based on extensive research with distinguished scholars within the book project ‘Socioeconomic Segregation in European Capital Cities’, this chapter summarizes the key trends in income inequality and socioeconomic segregation in Europe. We draw our data from the two last census rounds, and we focus on the most common indicators of income inequality (Gini Index) and residential segregation (Dissimilarity Index). We find that levels of residential segregation grew between the two last censuses in most of the cities included in our study. Changes in residential segregation follow changes in income inequality with a time lag, and it tends to happen in both directions. Low levels of income inequality relate to low levels of segregation after 10 years, and high levels of inequality relate to high levels of segregation after 10 years.