The rapid statistic of the efficiency of meteorological data transferring has become a pressing need for information center of Beijing Meteorological Bureau.In order to improve the transferring efficiency of meteorological data, an algorithm was designed based on MapReduce model for statistics of the arriving ratio and timely rate of meteorological data.The algorithm was then realized on Hadoop platform and comparative experiments were done using text file and Sequence File as input source data.Results show that the MapReduce-based algorithm performs better with Sequence File data.Compared with traditional statistic processes, the proposed algorithm is high in effectiveness and simple in process flow, thus is feasible and applicable for statistic of meteorological data transferring efficiency.