This paper investigates the factors affecting rural poverty using Logit regression modeling based on primary source of data in the project area of Asian Development Bank. According to the results, rural poverty can be alleviated by lowering the household size, persons per room and dependency ratio, improving education, more female labor force participation, higher household participation rate, improving assets and household’s access to market especially in remote areas. The government should pay special attention to basic infrastructure and market access facilities beside some other socio-economic and demographic variables to alleviate rural poverty in remote areas of Pakistan.