Abstract: The value of the real estate investment trust is predicted. A REIT price prediction device 1 includes: a storage unit 10 that stores a prediction model for predicting a future REIT price, the prediction model being generated by learning based on training data comprising sets of input data, which comprises population distribution data regarding the population distribution around each of a plurality of real estate properties in which a REIT (Real Estate Investment Trust) invests, and a REIT price indicating the value of the REIT; an acquisition unit 11 that acquires the input data; and an output unit 13 that outputs the future REIT price obtained by applying the input data acquired by the acquisition unit 11 to the prediction model stored in the storage unit 10.

Abstract: A population involved in actions in the movement destination area is predicted. A purchase predicting device 1 includes: a storage unit 10 that stores a prediction coefficient, which is a probability that a person in a predetermined area will be involved in actions, and an average moving population ratio, which is a probability that a person in a predetermined area will move to a movement destination area that is an area of a movement destination; an acquisition unit 11 that acquires population distribution data regarding a population for each area; and a prediction unit 13 that predicts a population involved in purchasing for each movement destination area based on the population distribution data acquired by the acquisition unit 11 and the prediction coefficient and the average moving population ratio stored in the storage unit 10.