  We analyze the data on personal income distribution from the Australian
Bureau of Statistics. We compare fits of the data to the exponential,
log-normal, and gamma distributions. The exponential function gives a good
(albeit not perfect) description of 98% of the population in the lower part of
the distribution. The log-normal and gamma functions do not improve the fit
significantly, despite having more parameters, and mimic the exponential
function. We find that the probability density at zero income is not zero,
which contradicts the log-normal and gamma distributions, but is consistent
with the exponential one. The high-resolution histogram of the probability
density shows a very sharp and narrow peak at low incomes, which we interpret
as the result of a government policy on income redistribution.
