This study focused on individuals reactive to the Hepatitis C virus (HCV), analyzing their viral load and genotype, and categorizing them into low (800,000 IU/mL) viral load groups. The research aimed to identify correlations between viral load and various factors such as age, gender, risk behaviors, and genotype through binomial regression analysis. Key findings include a higher viral load association with genotype 4, male gender, and high-risk groups like People Who Inject Drugs (PWIDs), individuals with blood transfusions before routine testing or frequent transfusions, those receiving intravenous drug therapy, and those undergoing medical termination of pregnancy (MTP) by unregistered practitioners (P ≤ 0.5). These insights underscore the need for targeted prevention and treatment strategies for HCV, particularly focusing on the identified high-risk groups and factors. This study contributes to the literature by pinpointing specific areas for intervention to manage and prevent HCV more effectively.