A method for acquiring hair characteristic data, including: an image acquiring step of acquiring a cross-sectional image of a human hair, in which a plurality of types of fibrous tissues constituting cortex cells contained in the human hair are visualized in such a manner that the ortho cells and the para cells can be distinguished from each other on the basis of the size of the macrofibril and the orientation of the intermediate filaments; a data acquiring step of acquiring, from the cross-sectional image, numerical information indicating a distribution state of the visualized plurality of types of fibrous tissues, wherein the acquired numerical information comprises the following (i) and (ii): (i) a distance between centroids of the ortho cell and the para cell, and (ii) an abundance ratio of the ortho cell or the para cell relative to the sum of the ortho cell and the para cell; a reference acquiring step of acquiring calibration data indicating a relationship between the numerical information (i) and (ii) and the respective hair characteristics of curl radius and bending elastic modulus using human hair samples as reference hairs; and an evaluation step of evaluating the hair characteristics of the human hair on the basis of the numerical information of the human hair acquired in the data acquiring step and the calibration data indicating the relationship between the numerical information and the hair characteristics using the human hair samples as the reference hairs, wherein the image acquiring step is carried out using an image acquiring unit, and the data acquiring step, the reference acquiring step and the evaluation step are carried out using a data acquiring unit. an image acquiring step of acquiring a cross-sectional image of a human hair, in which a plurality of types of fibrous tissues constituting cortex cells contained in the human hair are visualized in such a manner that the ortho cells and the para cells can be distinguished from each other on the basis of the size of the macrofibril and the orientation of the intermediate filaments; a data acquiring step of acquiring, from the cross-sectional image, numerical information indicating a distribution state of the visualized plurality of types of fibrous tissues, wherein the acquired numerical information comprises the following (i) and (ii): (i) a distance between centroids of the ortho cell and the para cell, and (ii) an abundance ratio of the ortho cell or the para cell relative to the sum of the ortho cell and the para cell; (i) a distance between centroids of the ortho cell and the para cell, and (ii) an abundance ratio of the ortho cell or the para cell relative to the sum of the ortho cell and the para cell; a reference acquiring step of acquiring calibration data indicating a relationship between the numerical information (i) and (ii) and the respective hair characteristics of curl radius and bending elastic modulus using human hair samples as reference hairs; and an evaluation step of evaluating the hair characteristics of the human hair on the basis of the numerical information of the human hair acquired in the data acquiring step and the calibration data indicating the relationship between the numerical information and the hair characteristics using the human hair samples as the reference hairs, wherein the image acquiring step is carried out using an image acquiring unit, and the data acquiring step, the reference acquiring step and the evaluation step are carried out using a data acquiring unit.