A conductive sheet, comprising: a transparent base; and a conductive portion (14a, 14b) that is formed on at least one of the two main surfaces of the transparent base and is formed from a plurality of metal wires, a line width of each of the plurality of metal wires being 30 μm or less, wherein a mesh pattern (20, 232) in which a plurality of openings having different shapes are arrayed in plan view is formed by the conductive portion (14a 14b), and characterized in that, in a two-dimensional distribution of centroid positions of the plurality of openings, a standard deviation for a root mean square deviation of a predetermined number of the centroid positions which are disposed along a predetermined direction, with respect to a direction perpendicular to the predetermined direction is equal to or greater than 15.0 μm and equal to or less than 625 μm, the predetermined direction is a direction of a regression line of the predetermined number of the centroid positions, the standard deviation for the root mean square deviation is a standard deviation that is calculated by an Expression as EV3,, and the standard deviation corresponding to a direction of each of the plurality of regression lines is a standard deviation that is calculated by an Expression as STD(m); EV 3 = ∑ m = 1 M STD m − ST D ave 2 M − 1 STD m = ∑ k = 1 N Y mk ′ − Y ave ′ 2 N − 1 wherein, STD(m) is a standard deviation for a predetermined number of centroid positions which are disposed along a direction of an m-th (m = 1, 2,..., M) regression line, with respect to a direction perpendicular to the direction of the m-th regression line, Ymk' corresponds to a Y' coordinate of a k-th centroid position Pck in an X'Y' coordinate system in the m-th regression line, Yave' is an average value of the Y' coordinates of the centroid positions Pck in the m-th regression line, N is a sampling number of the predetermined number of the centroid positions, EV3 is a standard deviation for values of M STD(m) corresponding to directions of M regression lines, STDave is an average value of values of the M STD (m), and M is a sampling number of the plurality of regression lines. a transparent base; and a conductive portion (14a, 14b) that is formed on at least one of the two main surfaces of the transparent base and is formed from a plurality of metal wires, a line width of each of the plurality of metal wires being 30 μm or less, wherein a mesh pattern (20, 232) in which a plurality of openings having different shapes are arrayed in plan view is formed by the conductive portion (14a 14b), and characterized in that, in a two-dimensional distribution of centroid positions of the plurality of openings, a standard deviation for a root mean square deviation of a predetermined number of the centroid positions which are disposed along a predetermined direction, with respect to a direction perpendicular to the predetermined direction is equal to or greater than 15.0 μm and equal to or less than 625 μm, the predetermined direction is a direction of a regression line of the predetermined number of the centroid positions, the standard deviation for the root mean square deviation is a standard deviation that is calculated by an Expression as EV3,, and the standard deviation corresponding to a direction of each of the plurality of regression lines is a standard deviation that is calculated by an Expression as STD(m); EV 3 = ∑ m = 1 M STD m − ST D ave 2 M − 1 STD m = ∑ k = 1 N Y mk ′ − Y ave ′ 2 N − 1 wherein, STD(m) is a standard deviation for a predetermined number of centroid positions which are disposed along a direction of an m-th (m = 1, 2,..., M) regression line, with respect to a direction perpendicular to the direction of the m-th regression line, Ymk' corresponds to a Y' coordinate of a k-th centroid position Pck in an X'Y' coordinate system in the m-th regression line, Yave' is an average value of the Y' coordinates of the centroid positions Pck in the m-th regression line, N is a sampling number of the predetermined number of the centroid positions, EV3 is a standard deviation for values of M STD(m) corresponding to directions of M regression lines, STDave is an average value of values of the M STD (m), and M is a sampling number of the plurality of regression lines.