This study tried to assess agro-pastoral households’ poverty status in the Godey district, Shabelle Zone, Somali Regional State of Ethiopia, to improve the efficacy of poverty alleviation programs for development actors. Specifically, it sought to analyze the poverty status of agro-pastoral households in the Godey district and its determinants. To choose sample households, a two-stage random sampling approach was used. All the villages in the Godey district are enumerated in the first step, after which only agro-pastoral villages are specifically chosen. In the second phase, 144 sample houses were chosen at random using a proportionate to size. Descriptive statistics and the binary Logit model were used to analyze the data. The cost of basic needs method was used to estimate the poverty line, and accordingly, the total poverty line of the district was found to be 3,112.40 Birr. The headcount ratio of the sampled households, which implies the population of the district that lives below the poverty line, was found to be 37%. Similarly, the poverty gap of 9% and severity index were found 4% respectively. Results of logistic regression analysis reveal that nine explanatory variables are important in explaining poverty status of agro-pastoral households in the district. These are household size, dependency ratio, livestock owned, total income, farm size, sex of the household head, and the education level of the mother. Based on the results of the study, we recommend interventions such as the promotion of households’ access to assets and women’s education, improving livestock productivity, farm management, and developing a pro-poor marketing strategy and infrastructure.