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Employing data on the assessed value of land in 1974–2007 Japan, we exhibit a quasistatically varying log-normal distribution in the middle scale region. In the derivation, a Non-Gibrat’s law under the detailed quasi-balance is adopted together with two approximations. The resultant distribution is power-law with the varying exponent in the large scale region and the quasistatic log-normal distribution with the varying standard deviation in the middle scale region. In the distribution, not only the change of the exponent but also the change of the standard deviation depends on the parameter of the detailed quasi-balance. These results are consistently confirmed by the empirical data.

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