Solid waste generation rate and composition and people's understanding of it are the basic things to plan and implement solid waste management systems. The objective of the study is to determine the current situation of household solid waste generation rate, physical composition, and management system. Data were collected from 191 households, which were selected through a simple random sampling method from woreda-1 and woreda-2 ketenas in Assosa town, and four sampling stages were conducted during the study duration, which started on March 01, 2022, and ended on June 30, 2022. Using survey, daily waste from the separated sources were measured. This was conducted for wet and dry seasons to have better average monthly solid waste generation rate and physical composition. The researcher was used the Statistical Package for the Social Sciences (Version.20) computer statistical package for data analysis. The total per capita solid waste generation rate of households in Assosa town was 0.285 kg/capita/day and annually it reached about 5801994.38 kg/capita/year and the average physical decomposable waste and non-decomposable household waste was 96.12% and 3.88% respectively. As shown from the result of the total solid waste in town, 60% was organic solid waste and 40% was an inorganic solid waste. The reuse and recyclable materials were found that 11.98% overall in the study area. In terms of solid waste physical composition ash and food, the waste account was 38.21% and 32.59% respectively. The results from the multiple linear regression models shown that the age of the household head, sex of the household head educational level, and house ownership condition affected the household solid waste generation rate in Assosa town significantly (p<0.05). However, there was strongly affected the household solid waste generation rate between family size and average monthly income, (p > 0.05).This finding is important for the responsible bodies to take measures on solid waste management and necessary to practice the required solid waste composting technology. Keywords: Assosa town, household, solid waste management, generation rate, physical composition, multiple liner regression.