In 1989 Soviet authorities released unprecedented new data on the size
distribution of income in the U.S.S.R. in the 1980s, including the di
stributions by republics. With the goal of providing a benchmark for e
valuating the effect of current and future economic reforms on income
distribution in the former Soviet Union, this paper estimates inequali
ty measures for the new data. The estimation uses a simple nonparametr
ic technique based on the Kolmogorov-Smirnov test to fit the Soviet da
ta to a lognormal distribution. The results suggest that, for income f
rom official sources, (1) inequality in the Soviet Union as a whole de
clined throughout the 1980s-both before and after Gorbachev's accessio
n in 1985, and (2) income inequality was greater in the poorer, southe
rn republics of the U.S.S.R. than in the north. While the inclusion of
unofficial (unreported) private income would probably reinforce the s
econd of these two trends, its effect on the first cannot be determine
d on the basis of available information.