The COVID-19 pandemic caused significant changes in day-to-day mobility patterns. Much research has revealed the socioeconomic disparities in travel behavior during the pandemic, focusing on the differences between different socioeconomic groups. By contrast, relatively little research has been done to explore the potentially different responses to the pandemic even within the same socioeconomic group. Based on data collected from a map-based online survey conducted in Sweden from 2020 to 2021, we applied multivariate clustering to identify distinct types of travel behavior for people with different income levels and from different geographic areas in the City of Stockholm. Our results show that seven distinct clusters can be identified by simultaneously taking into account income, accessibility, and travel distance. These distinct clusters may speak of distinct modes of living during the pandemic. By acknowledging and recognizing the heterogeneity within the high-income or low-income population group, this study provides more angles and adds more depth to discussions of equal and resilient cities.