Abstract: In order to better understand farmer demand for agricultural meteorological services, and effectively prevent and reduce the damage and loss caused by meteorological disasters and secondary disasters, play a role in agriculture meteorological services. Combined the characteristics of local agricultural meteorological services, the author built customer satisfaction index of agrometeorological service (CSIAS), then calculated the satisfaction index which from the agriculture meteorological service user to agrometeorological services by mathematical method, which aimed to analyze the structure of user demand for agricultural meteorological services. The author used the satisfaction measurement model and analyzed the satisfaction degree of agrometeorological service in Wuwei in 2015. The results showed that: users of the satisfaction of local agrometeorological service was relatively high. They would maintain a high degree of concern to meteorological service products in the future. But the satisfaction of accuracy of weather forecasts, especially in severe weather forecast accuracy was lower, which needed to strive to improve the accuracy of weather forecasting meteorological department in this regard. The evaluation of agrometeorological service satisfaction help the meteorological department determine the service product focus. On the other hand, it was found that the deficiencies in agricultural products and improve services, to lay a solid foundation for future improvement of agricultural meteorological service work.