Abstract: Methods for predicting an economic state and establishing an economic state prediction model and corresponding apparatuses, and relates to the technical field of big data are disclosed. A specific implementation solution is: acquiring, from map application data, geographic location point active data in N historical time frames before a to-be-predicted future time frame respectively for a to-be-predicted region, the N being a positive integer; and inputting feature vectors of the geographic location point active data in the N historical time frames before the to-be-predicted time frame into a pre-trained economic state prediction model, to obtain economic indicator data of the to-be-predicted region in the to-be-predicted time frame. An economic state of the to-be-predicted region in the to-be-predicted time frame can be predicted, thus providing a reference for policy making in advance.