This paper summarizes the arguments and counterarguments within the scientific discussion on the issue of climate change and its affect on agricultural productivity in Ethiopia. The main purpose of the research is to analyze the impact of climate change on the productivity of agricultural crops. Systematization literary sources and approaches for solving the problem associate were analyzed that indicates there is a significant adverse effect of climate change on agricultural productivity as well as allied fields. The relevance of the decision of this scientific problem is that the community participation and state interventions are required at grass-roots level. Investigation of the topic of climate change and agriculture in Ethiopia in the paper is carried out broadly in the following logical sequence at an appropriate empirical standard level. Methodological tools of the research methods were descriptive statistics and the year of research was 2018-19. The object of research is the chosen for Ethiopia as a whole and case study was carried out in Mettu Woreda to verify the significance. The paper presents the results of an empirical analysis of quantitative data, which showed that there is an adverse effect of climate change on agricultural productivity in the region. The climate change affects agricultural productivity and production through shortening of maturity period and to decreasing crop yields, changing livestock feed availability, affecting animal health growth and reproduction depressing the quality and quantity of the crops, changing distribution rate, contracting pastoral zones, expansion of tropical dry forests and expansion of desertification etc.The research empirically confirms and theoretically proves that highlights the coordination between state and local communities are required to combat the adverse effect of climate change. The results of the research can be useful for policy maker, researchers, academicians and other international organizations like UNEP and UNDP etc. Keywords: climate change, random sampling, descriptive statistics, crop productivity, food security and livestock.