Food price instability over the last few years has hurt millions of people worldwide in the context of food security. This study focuses on examining the impact of food prices on food security, specifically in households in Pakistan. To analyze this relationship, the study utilizes data from the Pakistan Social Living Standard Measurement (PSLM) survey spanning the years 2005-2006, 2007-2008, 2011-2012, and 2015-2016. By employing a logistic regression model, the study aims to identify the factors contributing to these households' food security. The results obtained from the logistic regression model indicate a negative correlation between food security and the prices of key food items such as flour, meat, milk, and vegetables. In other words, when the prices of these essential food items increase, it reduces the likelihood of a household being food secure. This suggests that fluctuations and increases in the prices of these particular food items can have a detrimental effect on the ability of households to meet their food needs adequately. By identifying these specific food items and their impact on food security, the study provides valuable insights into the factors that influence the vulnerability of households in Pakistan to food insecurity. This knowledge can inform policymakers and stakeholders in developing strategies and interventions to address the challenges posed by fluctuating food prices and improve food security outcomes for households in the country.