The study evaluates the effect of the socioeconomic variables and income on farmers risk attitude in Sokoto State. Data were elicited with the use of a structured questionnaire. The primary data used were obtained from structured questionnaire administered to 120 randomly selected farmers. Binary Logistic regression model was used in the analysis of data. The results showed that farmers’ age, farm size and access to extension service significantly influenced the farmers’ risk attitude. These were found to be statistically significant at (P < 0.05) level. The study therefore suggests that there is an apparent need for serious extension work to raise the awareness level of the farmers and to identify solutions to their problems as well as suggest ways on how such solutions can be achieved.