Finding information about regions in a city (e.g., neighborhoods) is important for several applications, particularly where users' interests are broad, thus making recommendation of larger areas instead of specific Points of Interest (POIs) more suitable, or where users would like to learn more about the urban context of specific POIs. In this paper, we present LocXplore, a system for profiling regions of a city to support people planning to move to the city. The system integrates and analyzes data from diverse sources, including location-based social networks, OpenStreetMap and Open Data from government authorities and news agencies, and allows users to search, explore, and compare regions of interest. Our approach is based on iterative user-centered design through user research within our target group and draws from relevant research in the fields of urban computing and urban sociology. The system includes a web-based user interface that provides a comprehensive way to visualize and explore the different regions in a city, and its functionality is demonstrated for the localities in the city of Berlin.