The paucity of knowledge by the majority of the rural farmers has made information on soil erosion difficult to perceive. The problem, however, can be overcome by using predictive models for planning, assessment and extension purposes. The objective of this paper was to predict soil loss by
the methods of USLE and interview the farming families. The study showed that the factors that determined the rate of soil loss in the study area were the Topographical Factor and the Soil Erodibility of the different textural classes. There was agreement between the conclusions of the USLE and the responses of the farming families and the community leaders. This Sahel Savannah Agro-ecological zone has the highest rate of soil loss with the three observation sites recording 68.5 t/ha/year, 69.9 t/ha/year and 69.6 t/ha/year, respectively. Thus the total average of 69.3t/ha/year. The Northern Guinea Savannah followed at the rates of 53.5t/ha/year, 59.2t/ha/year and 56.1t/ha/year respectively for the three observation sites with a total average of 56.3t/ha/year. The Sudan Savannah sites revealed a soil loss rate of 46.7t/ha/year, 59.2t/ha/year and 53.5t/ha/year respectively at a
total average of 53.1t/ha/year. The study concluded that there was a significant soil loss in the desertification prone State of Katsina, hence bringing knowledge on the extent of the soil loss
in the area. This data is instrumental in informing future interventions

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