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Multistage Stratified Random Sampling was used for selecting two villages ineach of the three Agro-Climatic Zones of Bihar. From each selected village, 100farmers were interviewed. Based on the data collected on age, education andcategory, multiple regression equation was fitted. Age, education and category contributed significantly on adoption of crop insurance. Age being the mostimportant factor of adoption contributed about 50% towards adoption. It wasobserved that younger farmers with larger land holding adopt more crop insurance.It was also observed that with the increase in bank branches, adoption rateincreased (r = 0.982). Further it was found that the factors age, education andcategory were not independent.