  We investigate the dynamical behavior in the large scale region of
non-equilibrium systems, by employing data on the assessed value of land in
1983 -- 2006 Japan. In the system we find the detailed quasi-balance, which has
the symmetry: x_1 -> a {x_2}^{\theta} (x_1 and x_2 are two successive land
prices). By using the detailed quasi-balance and Gibrat's law, we derive
Pareto's law with varying Pareto index annually. The parameter \theta
corresponds with the ratio of Pareto indices (\mu_1 + 1)/(\mu_2 + 1), and the
relation is confirmed in the empirical data nicely.
