Use of output from global Circulation Models (GCMs) by regional or small scale rainfall-runoff models necessitates the disaggregation of the hydrological information available from GCMs to smaller scales. The hydrological processes of interest commonly occur at much smaller scales than those being modelled by GCMs. The present work examines the disaggregation of areally averaged monthly rainfall values of a basin or a region into point rainfall values. It uses some statistical methods based on a frequency analysis approach, a correlation approach and a disaggregation approach. A total of ten different methods have been tried and their relative performances compared based on some error criteria evaluated from observed and disaggregated point rainfall and mean areal rainfall values and their statistics. The results show the superiority of methods based on disaggregation techniques over other methods. The methods presented and discussed in the paper may very well be applied to disaggregate mean areal rainfall values into point rainfall values and also for infilling missing rainfall records.