The prime aim of this research dissertation is to analyze the macroeconomic factors of housing price in Pakistan. At the outset phase, the study undertakes a detailed descriptive analysis of the housing sector of Pakistan and identifies that rapid population growth, unplanned urbanization, non-availability of mortgage financing, escalating cost of land and construction, prevailing plot culture and absence of viable housing policy are the key factors that causes a high volume of housing deficit in Pakistan. In the second phase, study empirically examines the impact of macroeconomic factors such as gross domestic product (GDP), inflation rate (CPI), population growth rate (POP), interest rate (DR), exchange rate (ER) ,and remittances (REM) on housing price (HPI). This study uses Quarterly data from Q1 2011 to Q4 2020, and an estimation technique of the Autoregressive Distributed Lag Model (ARDL). The findings of the study show that there is long run relationship between housing price (HPI) and gross domestic product (GDP), inflation rate (CPI), population growth rate (POP), interest rate (DR), exchange rate (ER) ,and remittances (REM). Furthermore, gross domestic product (GDP), inflation rate (CPI), and population growth rate (POP) has positive and statistically significant effect on housing price while interest rate (DR) has inversely connection with housing price in the long run. The general finding of this paper suggests that housing price (HPI) in Pakistan is affected by macroeconomic factors. The research study is useful for land developers, builders, real estate agents, speculators and potential buyers to know which factors to account while making housing investment decisions. In addition, the finding of this study is also useful for the government to formulate polices to stabilize the housing price, and make sure the provision of affordable housing to lower and middle income people. Supervisor:- Dr. Attiya Yasmin Javid Co Supervisor:- Dr. Ahmad Fraz