Paying attention to the sustainability of the housing sector as the most important urban element in sustainable urban development is considered one of the most essential aspects; therefore, knowing the indicators of suitable housing and trying to achieve the desired housing is important for sustainable urban development. Considering the importance of housing in the structure of today's cities and the lives of citizens, it is important to pay attention to the principles of sustainable development for achieving the spatial and social justice, and quantitative and qualitative desirability of uses especially residential use. Therefore, the aim of the research was to investigate and spatially analyze sustainable housing indicators in Tehran metropolis. For the descriptive-analytical research, quantitative entropy models, Gray Relation Analysis (GRA), Moran's spatial autocorrelation statistics and Arc GIS software were used to investigate and spatially analyze sustainable housing indicators in 22 districts of Tehran metropolis. The results showed that the spatial distribution pattern of sustainable housing indicators at 22 districts of Tehran is clustered. Districts 1, 22 and 21, respectively, have a gray rank of 0.638. 0.554, and 0.550 in terms of having the studied indicators and are in a favorable condition. Statistically, about 0.4% of the districts are in favorable condition, 0.41% in semi-favorable condition, and 0.45% in unfavorable condition. Geographically, the southeastern districts of Tehran are in an unfavorable condition, and sustainable housing indicators get worse going from north to south and west to east of Tehran.