The analysisandreanalysis precipitation data could compensate the shortage of surface observational data. This is especially important for the relevant meteorology and hydrology researches. In this research, 7 kinds of analysisandreanalysis grid-precipitation data were compared and analyzed to the real precipitation data collected from 621 surface observation stations in the mainland China. The results showed that the applicability was distinctive in different regions. In western part of mainland China, the bias between grid-precipitation data and surface observation was above 50% and accumulated sampling error ratio was beyond 30%. In eastern part of mainland China, the bias between grid-precipitation data and observations was about 10% and accumulated sampling error ratio was below 30%. In general, the products retrieved from satellites remote sensing data performed better than that calculated by using numerical models because of the types of local raining system and the shortage of observation data. It was proved that both numerical models and inversion methods would cause system errors and deviated the normal distribution in reanalysis grid-precipitation data. In the future, the surface observation data, satellite remote sensing technology and numerical models should be synthesized to improve the applicability and potential of the grid-precipitation data.