A presence and absence prediction method includes: acquiring electric power data of a predetermined building at a first point in time; acquiring learning data obtained by learning, for each predetermined time period, a correspondence relationship between electric power data of the building at a point in time preceding the first point in time and information indicating whether the person was actually present in the building; predicting, on the basis of the electric power data of the building at the first point in time and the learning data, whether the person is present in the building; and generating presence and absence information that indicates a result of the prediction and outputting the presence and absence information to a predetermined terminal.