The city of Ahmedabad in India contains 137,815 slums characterized by a compact area with poorly built tenements, usually with inadequate sanitary and unhygienic drinking water facilities. The government of India has introduced various rehabilitation policies to ameliorate living conditions in low-income neighborhoods. However, the presumption of positive impacts on families of such policies warrants careful investigation. Millions of dollars are spent and large number of people uprooted. Yet little evaluation of the benefits of housing improvements has been conducted.Previous studies have shown that people in poor housing are more likely to suffer from health consequences and psychological distress (Wilner et. al, 1962; Evans et. al, 2000). But there is a dearth of research in developing countries like India, where the issue of sub-standard housing is even more critical. Also, most research on effects of housing quality has looked at either physical or mental health to evaluate well-being. But well-being is affected by various domains like physical health, psychological state, social relationships, and personal beliefs (Diener, 1994).This study examines the relation between housing quality and overall well-being of people in low-income neighborhoods. It answers two key questions: does housing quality improve from slum housing to public housing provided under rehabilitation policies?; does housing quality influence aspects of well-being such as health-mental and physical, perceived stress, self-mastery, hope and social ties?There are two groups with 75 women residents of identified housing in each group. One group currently lives in slum housing but will be slated to move into public housing in the future. A second group has already moved to public housing from slum housing. The move of slum-dwelling families into public housing provides a set of circumstances where similar populations may be subjected to a differential change in housing environment alone and can be tested for subsequent change in quality of life. These groups are compared on aforementioned variables using standardized validated scales. For the first wave of the study data is collected while one group is still living in the slums. Second wave will start post rehabilitation of this group into public housing providing longitudinal data on the same sample. This data will be analyzed using statistical analyses such as t-tests and regression.I hope to find indications of improved housing quality in public housing from slum housing and people in public housing reporting better well-being. The results from this study may provide preliminary evidence that housing quality is important to slum dwellers and suggest that improvement in housing quality from slum-neighborhoods to public housing matters. Cross-sectional data will also lay the groundwork for a longitudinal study. This study can help to evaluate and thus inform future housing policy in India from a psycho-social perspective.