With the increase of data volume, advanced query operators are necessary in order to help users to handle the huge amount of available data by selecting a set of promising data objects. In this paper, we present a method for selecting spatial objects, such as houses, based on surrounding facilities such as restaurants, supermarkets, and stations. In the proposed method, a user specifies a list of favourable surrounding facilities within a specified distance in his preferred location. We evaluate each real estate based on how many favourable surrounding facilities are there within the specified distance. We, then, calculate a set of spatial objects that are in favourable locations by utilizing the idea of skyline queries. We performed different experiments to show the effectiveness of proposed approach. Experimental evaluation show that our proposed approach is well applicable for efficient decision making.