This paper analyses industrial accidents data-series in the perspective of statistical physics and dynamical systems.Global data is collected from the Emergency Events Database(EM-DAT)during the time period from year 1900 up to 2012.The statistical distributions of the number of fatalities reveal double Power Law(PL)behavior for early years and a single PL for more recent time periods.PL behavior allows prediction by extrapolation over a wide range of scales.This study contributes to better understand the complexity of modern industrial accidents and their ruling principles,not only helpingto delineate policies towards accident prevention but also to elaborate plans for post-disaster actions.