In this study, the risk levels of 18 manufacturing sectors operating in the field of manufacturing in our country were tried to be evaluated by using the occupational accident data published annually in the Social Security Institution (SGK), the values calculated with the help of these data, and multi-criteria decision making (MCDM) methods. Moreover, in terms of risk level, the position of forest products sectors according to manufacturing sectors was determined. The forest products sectors were compared within themselves. In this context, nine criteria related to work accident were discussed. The weights (importance levels) of the criteria were made using the Entropy method and the ranking of the sectors according to the risk levels was made using the ARAS (Additive Ratio Assessment) method. With the entropy method, the most important criterion was the number of deaths that occurred as a result of work accidents. With the ARAS method, the most risky sector was the manufacture of fabricated metal products, except machinery and equipment. The risk levels of the forest products sectors (manufacture of wood and of products of wood and cork, manufacture of paper and paper products, manufacture of furniture) were moderate. When forest products are compared within themselves, the manufacture of furniture had the highest risk. The proposed Entropy based ARAS can be used to rank the risk levels of manufacturing sectors with reasonable accuracy.