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Australia Yearbook - 2001

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252 Year Book <strong>Australia</strong> <strong>2001</strong><br />

The most recent information on current income<br />

distribution on an income unit basis is available<br />

from the 1997–98 Survey of Income and Housing<br />

Costs. Income refers to gross receipts of<br />

recurring and usually regular cash flows at the<br />

time of interview. It comprises cash receipts from<br />

wages and salaries, profit or loss from own<br />

business, property income in the form of interest,<br />

rent and dividends, private transfers such as<br />

superannuation and child support, and cash<br />

transfers from government in the form of benefits<br />

and allowances.<br />

Income distribution<br />

As table 7.1 shows, in 1997–98 the average gross<br />

weekly income for all income units was $658. The<br />

median gross weekly income (i.e. the midpoint<br />

when all units are ranked in order of income) was<br />

considerably lower at $499. This difference<br />

reflects the typically asymmetric distribution of<br />

income where a large number of units have nil or<br />

very low incomes and a smaller number have very<br />

high incomes.<br />

Income units cover a wide variety of individuals<br />

and family types, and include varying numbers of<br />

people. These range from young single people just<br />

out of school, to couples with dependent children,<br />

through to elderly retired couples or single<br />

people, i.e. units at various stages of the life cycle<br />

and working career. It is therefore not surprising<br />

that income is distributed unevenly across all<br />

income units. This was the case in 1997–98 when<br />

income units in the lowest quintile (i.e. the lowest<br />

20% of units when ranked according to income)<br />

received an average gross weekly income of $124,<br />

compared to $1,590 received by those in the<br />

highest quintile (i.e. the highest 20% of units when<br />

ranked according to income).<br />

Income units in the lowest quintile were mainly<br />

single people. One-third of these were living with<br />

parents or with relatives. Few people were<br />

employed and most relied on government pensions<br />

and allowances as their principal source of income.<br />

In comparison, income units in the highest<br />

quintile were usually couples with or without<br />

dependent children, and most had two earners.<br />

Their principal source of income was mainly<br />

wages and salaries, with very few relying on<br />

government pensions and allowances.<br />

See also the Centenary Article Household income<br />

and its distribution following this chapter, which<br />

explores the measurement issues in detail and<br />

over longer time frames.<br />

Changes in income, 1994–95 to 1997–98<br />

From 1994–95 to 1997–98, the mean (average)<br />

gross weekly income for all income units in<br />

private dwellings increased by 10% from $596 to<br />

$658 (table 7.2). The mean weekly income of the<br />

largest group of income units, those who were<br />

mainly dependent on wage and salary income,<br />

increased by 11% from $801 to $888. The mean<br />

income of those relying on government cash<br />

benefits also increased by 11% over this period.<br />

Movements in income from other sources over<br />

the period were more volatile. Mean incomes for<br />

units dependent on their own businesses were<br />

particularly volatile. From 1994–95 to 1997–98,<br />

their income increased by 12%. Mean income of<br />

those dependent on other income increased by<br />

30% between 1994–95 and 1997–98.<br />

The degree of inequality in the income<br />

distribution of all income units remained almost<br />

unchanged between 1994–95 and 1997–98<br />

(table 7.3). Income inequality can be measured by<br />

comparing the share of total income received by<br />

each quintile group. While the shares of total<br />

income received by the income quintile groups<br />

changed slightly over the three years, the changes<br />

are not statistically significant.

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