AUSTRALIAN ECONOMIC INDICATORS...AUSTRALIAN ECONOMIC INDICATORS AUGUST 2009 1350.0 For further information about these and related statistics, contact the National Information and

164

Appendix: Index of Feature Articles published in Australian Economic

Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

160Explanatory Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .A D D I T I O N A L I N F O R M A T I O N

145International Comparisons10 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .127State Comparisons9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .115Financial Markets8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .107Incomes and Labour Costs7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

93Labour Force and Demography6 . . . . . . . . . . . . . . . . . . . . . . . . . . . .79Prices5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .65Production4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .51Consumption and Investment3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .27International Accounts2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .13National Accounts1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

C H A P T E R S

3When it's not "business-as-usual": Implications for ABS time series . . . . . . . . . .F E A T U R E A R T I C L E

2Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .page

C O N T E N T S

E M B A R G O : 1 1 . 3 0 A M ( C A N B E R R A T I M E ) F R I 3 1 J U L 2 0 0 9

AUSTRALIAN ECONOMICINDICATORS

1350.0A U G U S T 2 0 0 9

For further informationabout these and relatedstatistics, contact theNational Information andReferral Service on1300 135 070, [email protected] Ms Jo Jackson onCanberra (02) 6252 6114,email<[email protected]>.

I N Q U I R I E S

w w w . a b s . g o v . a u

29 January 2010February 2010

23 December 2009January 2010

30 November 2009December 2009

28 October 2009November 2009

30 September 2009October 2009

31 August 2009September 2009

RELEASE DATEISSUEFO R T H C O M I N G I S S U E S

B r i a n P i n k

Au s t r a l i a n S t a t i s t i c i a n

See the Abbreviations section following the Explanatory Notes.SY M B O L S AN D OT H E R

US A G E S

Long time series datacubes for this publication are now provided on the ABS website.EX T E N D E D T I M E SE R I E S

From March quarter 2009 industry statistics reported in Table 6.9 are on the basis of

Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006

edition. This edition replaces the 1993 edition which has been in use since 1994. The

new edition of ANZSIC was developed to provide a more contemporary industrial

classification system taking into account issues such as changes in the structure and

composition of the economy, changing user demands and compatibility with major

international classification standards.

Industry data up to December quarter 2007 are only available on an ANZSIC 1993 basis

and data on an ANZSIC 2006 basis are shown from March quarter 2008, although for all

quarters of 2008 data is available on the basis of both editions of ANZSIC.

CH A N G E S IN TH I S I S S U E

Where available, the statistics in this issue are presented as time series for the last three

years of annual data, the last nine quarters or 15 months of data. To assist analysis most

tables include percentage movements, as well as levels, of series.

Quarterly and monthly data for most series, and annual data for a limited number of

series, are available from the Australian Bureau of Statistics for earlier periods than that

shown in this publication. Many series can be obtained on electronic media. Inquiries

should be directed to the National Information Service on 1300 135 070 or

<[email protected]>.

I N TH I S I S S U E

2 A B S • A U S T R A L I A N EC O N O M I C I N D I C A T O R S • 1 3 5 0 . 0 • A U G 2 0 0 9

N O T E S

WH E N I T ' S NO T "B U S I N E S S - A S - U S U A L " :IM P L I C A T I O N S FO R AB S T I M E SE R I E S

FEAT U R E ART I C L E

Typically, the ABS decomposes an observed, original time series into three components:

the trend (general direction of the series), the seasonal component (systematic, calendar

related movements) and the irregular component (unsystematic, short term

fluctuations). Seasonal influences tend to occur regularly once or more each year, and

include the effect of periodic factors such as weather, holidays, social conventions,

administrative practices, and the composition of the months or quarters into trading

days. Seasonally adjusted estimates are produced by estimating the seasonal component

and removing this from the original series. Seasonally adjusted estimates therefore

reflect the combined effect of the trend and irregular components. The ABS then

calculates trend estimates by applying a smoothing procedure to the seasonally adjusted

estimates. Therefore, the seasonally adjusted and trend estimates are analytical

products rather than raw data.

T I M E SE R I E S DA T A AN D

TH E D I F F E R E N C E S

BE T W E E N TH E OR I G I N A L ,

SE A S O N A L L Y AD J U S T E D

AN D TR E N D ES T I M A T E S

Sound economic statistics are vital for decision-making. The ABS has a key role in

producing high quality statistical information to assist with policy- and decision-making

at all levels of government and in the community more broadly. One of the most useful

types of economic statistics produced by the ABS is its time series information: a

collection of observations of well-defined data items obtained through repeated

measurements over time. The examination of time series can allow a data user to

monitor phenomena over time and identify changes to series which may be associated

with external events of interest. In particular, the ABS removes systematic calendar

related effects from original estimates (or raw date) to produce seasonally adjusted and

trend estimates. These are published as additional analytical products to help users to

understand time series signals.

In recent months, a range of government interventions, designed to mitigate or offset

the consequences of the global financial crisis, have been implemented in Australia.

These interventions have been detected in a range of ABS time series, including Labour

Force and Retail Trade. To appropriately reflect the global economic crisis in ABS time

series data, and hence, to ensure the accuracy of time series analytical products

produced by the ABS, a number of methodological decisions are required. These

decisions (discussed later) will allow users to appropriately interpret affected time series

data.

This article reviews the implications of unusual external events on ABS time series (i.e.

when it's not 'business-as-usual' in the economy). It also discusses the principles and

issues involved in making methodological decisions regarding the appropriate treatment

of time series in these circumstances. A case study of the ABS Retail Trade time series,

which has exhibited changed characteristics in the presence of the current unusual

economic environment, will be used to illustrate the issues involved in maintaining a

high quality seasonal adjustment.

I N T R O D U C T I O N

A B S • A U S T R A L I A N EC O N O M I C I N D I C A T O R S • 1 3 5 0 . 0 • A U G 2 0 0 9 3

As with any analytical products, the ABS seasonally adjusted and trend estimation

methods make certain normality assumptions. The methods used to produce seasonally

adjusted and trend estimates are reasonably reliable under 'normal', 'business-as-usual'

circumstances. However, unusual real world events, such as the global financial crisis or

significant government economic interventions, will affect seasonally adjusted and trend

estimates. If an appropriate methodological intervention is not applied to the seasonally

adjusted and trend estimation methods on time, or is applied inappropriately, then users

may be misled when interpreting the seasonally adjusted and trend estimates.

Unusual events can be grouped into two categories according to their causes:

methodological changes (such as changes to classification, scope, coverage etc.); and

real world effects (unusual events with significant impact on ABS statistics, such as the

global economic crisis). Examples of real world effects include the introduction of Goods

and Services Tax in July 2000, which impacted on the Retail Turnover; the 2000 Sydney

Olympics Games, which affected Overseas Arrivals and Departures, and the gold sell-off

by the Reserve Bank of Australia in 1997, which affected the Exports of Other Goods etc.

In this article, we are focusing specifically on the impact of real world effects on ABS time

series, with particular emphasis on the recent and still ongoing global economic crisis

and consequent government interventions. In brief, the global economic crisis was

marked by a series of international and domestic events, commencing around the

September 2007 quarter and continuing to the present time. These events included:

! The US credit crunch and discovery of sub-prime mortgage securities;

! The drying up of liquidity;

! Announcements of bankruptcy of overseas credit providers, with some government

intervention to nationalise or acquire large stakes in some companies;

! Falls in domestic and international stock markets;

! Several bank mergers or acquisitions;

! The insolvency announcements in Australia by a range of commercial and financial

entities;

! Provision of liquidity facilities by Central banks;

! Government guarantees of bank deposits; and

DE F I N I N G UN U S U A L

EV E N T S : TH E CA S E OF

TH E GL O B A L EC O N O M I C

CR I S I S

The ultimate objective of ABS time series techniques is to provide users with two high

quality analytical time series indicators that present different but complementary

information derived from an original time series, for the purpose of informing decision

making. The seasonally adjusted estimates have had seasonal patterns removed, allowing

useful information to be portrayed regarding direction and the amount of volatility in the

data. Trend estimates, produced by smoothing the seasonally adjusted estimates,

provide important information regarding the longer term behaviour of the data. It is

important to note that neither the trend nor seasonally adjusted series are inherently of

more value or importance than the other.

It is also important to distinguish between the trend concept, defined as the mid- and

long-term signal in a series, and a trend estimate, which is the estimated mid- and

long-term signal. It may be analytically difficult to produce a good trend estimate which

reflects the trend concept due to a large distortion or outlier in the series, but the trend

concept is still appropriate with respect to the mid- and long-term signals in a time

series.

T I M E SE R I E S DA T A AN D

TH E D I F F E R E N C E S

BE T W E E N TH E OR I G I N A L ,


AN D TR E N D ES T I M A T E S

continued


FE A T U R E A R T I C L E • W H E N I T " S N O T " B U S I N E S S - A S - U S U A L : I M P L I C A T I O N S F O R A B S T I M E S E R I E S

Real world impacts on time series analytical products, such as seasonally adjusted and

trend estimates, can be minimised if the ABS has reliable information for estimating the

statistical impact of the event. However, this information is often unavailable and the ABS

therefore has to estimate the extent of the effect using the original series.

The seasonal adjustment procedure used by the ABS is based on the X-11 method

developed by the US Bureau of the Census (Shiskin, et al. 1967). With this method, large

changes in the original time series (whether temporary or permanent) impact

significantly on the seasonal and trend estimation procedures. Consequently, these large

changes will affect the seasonally adjusted and trend estimates.

For the estimation of seasonal factors, the current seasonal adjustment process is

relatively robust as it will discount 'extreme' irregular values so that the seasonal factors

are not distorted in the short-term. For example, for series with low volatility, any

extreme irregular value larger than 1.5 times the standard deviation (a quantity to

measure the spread of the series' volatility over time) will be ignored, and the seasonal

adjustment process will treat the occurrence of the extreme irregular as an outlier,

replacing it with a more representative value for the purpose of estimating seasonal

factors.

Seasonally adjusted estimates are derived by removing the appropriate seasonal factor

from the original series. Due to the robustness of the seasonal factor estimation, the

accuracy of the seasonally adjusted estimates will generally not be compromised by the

occurrence of an extreme irregular. It is important to note, however, this does not mean

that they accurately reflect the underlying long-term movement of the series, especially

when the unusual events have a lasting impact.

Trend estimates are obtained by smoothing the seasonally adjusted estimates, with an

assumption that the irregular component is random and normally distributed. Distortion

of the trend estimate will occur in the presence of an unusual event, and if no correction

for the impact is introduced, then the trend estimate can be misleading.

Unusual events may affect one or more of the three components of a time series.

Unusual events may cause a short-term, one-off impact (irregular), a change to the

pattern of seasonal variations (seasonality) or a change in the underlying movement of

the series (trend). These are briefly discussed here using recent real world examples.

IM P A C T OF UN U S U A L

EV E N T S ON T I M E SE R I E S

AN A L Y T I C A L PR O D U C T S

! Australian Government implementation of a series of varied stimulus packages

(December 2008; February 2009 etc.).

These events, and other related events not listed above, have provided a challenge to

those producing social/economic indicators including a number of ABS economic time

series. The challenge for the ABS is to evaluate and monitor the likely impact of these

events on economic time series to determine the most appropriate methodological

treatment, if any, in order to produce high quality seasonally adjusted and trend

estimates and maintain the ABS' goal of promoting informed interpretation of signals in

time series data.

DE F I N I N G UN U S U A L

EV E N T S : TH E CA S E OF

TH E GL O B A L EC O N O M I C

CR I S I S continued



A large, extreme irregular is an uncharacteristic movement in the original estimates. For

example, the Sydney Olympics (September 2000) demonstrated a one-off effect on both

overseas passengers arrivals and retail trade turnover. In turn, this impact led to a one-off

impact on the seasonally adjusted series. If a one-off extreme impact is not corrected, it

can distort the trend estimation procedure resulting in misleading information, as the

estimated trend may be either deflated or inflated for one or more time points. If

information on the magnitude of the impact is available, a correction can be applied to

ensure the trend is not distorted. However, this information is often not available at the

time, and at least one or more additional observations are normally required to help

assess the impact.

A permanent change to the seasonal pattern is referred to as a seasonal break. To

reliably assess whether a change in seasonal pattern is permanent, the ABS uses three or

more years of data, from the point of the seasonal break. If a change in seasonal pattern

is found to be permanent, an appropriate correction is applied, as abrupt changes to the

seasonal pattern can adversely affect the reliability of seasonally adjusted and trend

estimates. An example of a proposed seasonal break correction could be the

introduction of new legislation that affects the timing of tax collections. The consequent

breaks in the seasonal factors would be recognised and corrected, but usually only after

three years have elapsed.

An abrupt and sustained change in the level of the series is referred to as a trend break.

When a trend break occurs, the ABS corrects for the permanent shift in trend estimates

by either estimating the size of the break or using prior information to determine the

size of the break. More commonly, there is insufficient information relating to the size of

the trend break at the time of the impact. The ABS therefore has to use the series to

estimate, post-hoc, the magnitude of the trend break. At least three observations after

the occurrence of the trend break are needed to reliably estimate the magnitude of the

break. For example, the introduction of the GST in July 2000 forced the ABS to suspend

the publication of trend estimates until November 2000 when more data were available

to estimate the impact.

A sequence of unusual events with an unknown quantifiable nature can also occur in

reality. Under these circumstances, the ABS has to make a judgment either not to apply

any methodological intervention and to provide a warning to our data users indicating

the potential impact to our time series analytical products, or to apply appropriate

methodological interventions with the best information at the time and avoid

misinterpretation of the analytical products. For the latter case, one approach could be

to use the projected seasonal factors from the past observations rather than estimating

seasonal factors using data up to the most current time point, and suspend the

publication of trend estimates. The ABS has to make a sound judgment and balance

factors such as timeliness, accuracy and interpretability of it's analytical products taking

into account the ABS' seven-dimension data quality framework (ABS 2009).

The ABS will provide a revised version of the trend and seasonally adjusted time series

when either more information relating to the impact comes to hand or when more

observations become available, allowing an appropriate methodological intervention to

be applied.

IM P A C T OF UN U S U A L

EV E N T S ON T I M E SE R I E S

AN A L Y T I C A L PR O D U C T S

continued



As mentioned earlier, the impact of the US credit crunch induced by the sub-prime

mortgage crisis and the drying up of liquidity started in 2007 and then proceeded to

spread around the world. The Australian financial markets and economy were not

immune from this crisis, and a notable slowing down of Australian retail turnover has

been observed since 2007. To prevent a potential spiral and slowing down of the

economy, the Australian Government implemented a $10.4 billion Economic Security

CA S E ST U D Y 1 : RE T A I L

TR A D E FO L L O W I N G TH E

DE C E M B E R 20 0 8

GO V E R N M E N T ST I M U L U S

PA C K A G E

Given the range of possible impacts of real world events on time series data outlined

above, rigorous qualitative and quantitative assessments and judgment are needed when

making decisions about the appropriate methodological treatment of affected time series

for seasonally adjusted and trend estimates. In the event of there being impacts on series

which are due to unusual real world events, there are four major approaches which can

be taken. These are outlined here briefly.

One option for time series analysts is to make no correction to the seasonal adjustment

estimation procedure, and to allow trend estimates and seasonal factors to continue

their natural course. This approach may be most appropriate when there is very little or

no information available to indicate how long an unusual event may persist.

A second option is to make a correction for the extreme estimate after one additional

original estimate becomes available. In other words, no correction to the estimation

procedure is made at the time of the occurrence of the unusual event, but a correction is

inserted in the next publication of the series.

Third, a trend break correction may be introduced after three or more periods following

the occurrence of the unusual event. The trend estimates may not be published in the

period prior to introducing such a correction. This approach is currently being used to

manage the ABS Retail Trade series which heavily reflects the impacts of the global

financial crisis and the government stimulus interventions. As will be discussed in more

detail in the following case study, the trend series is currently suspended from this

publication pending the collection of additional retail trade data over time to enable the

identification of appropriate treatments for trend estimates. If the ABS had continued to

publish the trend for these series, the trend series could have provided a misleading

signal to users due to the unusual influences on the trend estimation method.

Finally, a seasonal break correction may be introduced after three or more years of

additional original estimates become available. Until then, the trend and seasonally

adjusted estimates continue to be calculated without methodological intervention.

The choice of approach to be taken when dealing with time series affected by unusual

real world events also depends on a number of other factors. These include the

measurability of an impact (the estimated size of a known impact in the context of the

usual volatility of the indicator series); data frequency (higher frequency time series are

generally more greatly impacted by a particular distortion or outlier); different impacts

on different parts of the economy (an impact on some ABS indicators may not be

observed, or may be observed differently, for other ABS economic indicators); and

consistency (the need to consider related indicator time series which have similar

underlying concepts when applying treatments or interventions to seasonally adjusted

and trend estimates).

MA K I N G DE C I S I O N S

AB O U T AP P R O P R I A T E

TR E A T M E N T OF UN U S U A L

EV E N T S IN T I M E SE R I E S



Strategy as a short term cash injection stimulus package to strengthen the Australian

economy in the face of the worst global financial crisis since the Great Depression.

For December 2008, the original and seasonally adjusted Retail Trade estimates included

consumer spending resulting from payments received by families and pensioners as part

of the this package. The full amount of these payments is unlikely to have been spent

entirely in December and may have been spent in later months in either the retail or

non-retail sectors, or alternatively used to reduce debt or to contribute to savings (which

may in turn impact on future spending patterns).

In February, the Australian Government announced a further $42 billion Nation Building

and Jobs Plan to support jobs and invest in future long term economic growth. This

included both a short term stimulus package and a series of long term infrastructure

projects (Rudd 2009).

As noted previously, ABS trend estimates attempt to measure the underlying behaviour

in retail activity. In the short term, the trend measurement may be significantly affected

by an unusual influence in the original and seasonally adjusted estimates like that

observed since December 2008. If the trend estimates were to be calculated without fully

accounting for this unusual irregular event, they would be likely to provide a misleading

view of the underlying trend in retail activity.

Additionally, spending behaviour in subsequent months may also be influenced by the

December 2009 and February 2009 stimulus packages and it may be some time before

the true underlying behaviour of the data can be accurately estimated. In response, the

ABS decided: (1) to use seasonal factors projected from previous data for seasonal

adjustment rather than using the original observations up to the current time point to

estimate seasonal factors; and (2) to suspend publication of the trend estimate from

December 2008 (ABS, 2008) pending the collection of additional Retail Trade original

observations to enable the identification of appropriate treatments for trend estimation.

The total Australian Retail Trade and the total Domestic Appliances and Recorded Music

sub-group are used to demonstrate the impact of the stimulus packages if no

intervention were applied to trend estimates.

Figure 1 shows the seasonally adjusted estimate of total Australian Retail Trade up to

March 2009, with scenario trend estimates (calculated using November 2008, December

2008, January 2009, February 2009 and March 2009 as their respective end-points)

superimposed. It is evident that retail trade started to slow down from the end of 2007.

The trend estimates at the November 2008 time point show a reasonably flat increase in

the trend at the time. The first Australian Government stimulus package was

implemented in December 2008. As a result, retail spending for December 2008 had its

largest increase in seasonally adjusted terms since 2000. If no methodological

intervention had been applied, the trend estimates of the December 2008 time point

would have been distorted, artificially lifting the trend estimates from August 2008

onwards. Obviously, this does not truly reflect the economic reality at that time. It

appears that the first Australian Government stimulus package had a profound impact on

retail trade in December 2008, and again in January 2009. A lower retail trade observation

in February 2009 can be potentially attributed to the short term cash injection running

out of strength.



DE C E M B E R 20 0 8


PA C K A G E continued



We now turn to examining the most affected retail sub-group, which is Domestic

Appliances and Recorded Music. Consumers appeared to take advantage of the cash

injection stimulus package to purchase popular domestic appliances like large

plasma/LCD TV, air conditioners and computers.

Figure 2 shows the seasonally adjusted estimates of the Domestic Appliances and

Recorded Music Retailing sub-group, with the scenario trend estimates superimposed (as

in Figure 1). A large peak at December 2008 reflects the consumer response to the

Government's first stimulus package following a decrease in sales since July 2008. The

November 2008 trend scenario illustrates clearly the decreasing trend over the five

previous months. However, without appropriate methodological intervention, the

December 2008 trend scenario shows the increasing trend since September 2008 and

potential large increase after December 2008. These estimates obviously provide a

misleading picture of reality in later 2008 and give a potentially wrong signal for the

future. The consequent trend estimate revisions after December 2008 also show that the

December 2008 time point trend estimates are misleading.

Mar2006

Jun Sep Dec Mar2007

Jun Sep Dec Mar2008

Jun Sep Dec Mar2009

$m

15000

16000

17000

18000

19000

20000Seasonally AdjustedNov-08Dec-08Jan-09Feb-09Mar-09

F I G U R E 1 : AU S T R A L I A N RE T A I L TR A D E

As a consequence of the second government stimulus package announced in February

2009, the retail trade observations again started to grow. From this example, we can see

that the retail trade seasonally adjusted estimates appeared to reflect consumer reactions

to the government stimulus packages. Since trend estimates are designed to reveal the

longer term underlying movement of a series, there is not enough information from the

last few months' observations to estimate the potential profound long term impact to the

retail trade trend direction, although short-term variations induced by the stimulus

packages were observed.



DE C E M B E R 20 0 8





Australian Bureau of Statistics 2008, Retail Trade, Australia, December 2008, cat. no.

8501.0, ABS, Canberra.

Australian Bureau of Statistics 2009, ABS Data Quality Framework, cat. no. 1520.0, ABS,

Canberra.

Rudd, Kevin 2008, Press release - Joint Press Release with, the Treasurer, Wayne Swan,

Economic Security Strategy <http://www.pm.gov.au/node/5521>

Rudd, Kevin 2009, Press release - $42 billion nation building and jobs plan,

<http://www.pm.gov.au/node/5331>

Shiskin, J., Young, A. H., and Musgrave, J. C. 1967. The X11 variant of the Census Method

II Seasonal Adjustment Program. Technical Paper 15, Bureau of the Census, US

Department of Commerce, Washington DC.

L I S T OF RE F E R E N C E S

This article has sought to review the impact on ABS time series when 'business-as-usual'

economic conditions do not prevail.

Readers seeking to obtain more information about methodological issues associated with

ABS time series are welcome to contact the ABS' Methodology and Data Management

Division at [email protected] or by telephone via the National Information and

Referral Service on 1300 135 070.

Interested readers are also referred to the ABS publication, Time Series Analysis

Frequently Asked Questions (cat. no. 1346.0.55.002) which can be found on the ABS

website <www.abs.gov.au>.

FU R T H E R IN F O R M A T I O N

To avoid giving policy decision makers, economic analysts and the general public

misleading long term signals in the original estimates at the time, ABS decided to

suspend publication of the Retail Trade trend estimates until more data become available

to support appropriate methodological intervention and to produce accurate trend

estimates.

Mar2006

Jun Sep Dec Mar2007

Jun Sep Dec Mar2008

Jun Sep Dec Mar2009

$m

1200

1300

1400

1500

1600

1700Seasonally AdjustedNov-08Dec-08Jan-09Feb-09Mar-09

FIGURE 2: DOMESTIC APPLIANCES AND RECORDED MUSIC RETAILINGCA S E ST U D Y 1 : RE T A I L


DE C E M B E R 20 0 8





CHAP T E R 1 NA T I O N A L AC C O U N T S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

25All Australian governments, Government Finance Statsistics balance sheet1.8 . . . .25All Australian governments, Government Finance Statistics1.7 . . . . . . . . . . . . .24National accounts ratios and indexes1.6 . . . . . . . . . . . . . . . . . . . . . . . . . . .23National income account1.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .22Income component of GDP1.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .20Gross value added by industry at basic prices, Chain volume measures1.3 . . . . . .18Expenditure on gross domestic product, Chain volume measures1.2 . . . . . . . . .17GDP and other selected aggregates, Chain volume measures1.1 . . . . . . . . . . . .

TA B L E S


Source: Australian National Accounts: National Income, Expenditure and Product, (cat. no. 5206.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%

–10

–5

0

5

10

TrendSeasonally adjusted

TOTAL GROSS FIXED CAPITAL FORMATION (GFCF) , (f rom Tab le 1.2)Cha in vo lume measure—Quar te r l y % change


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%point

–1.5

–1.0

–0.5

0

0.5

1.0

1.5Final consumption expenditureGross fixed capital formation

CONTRIBUT IONS TO GROWTH IN GDP, (f rom Tab le 1.2) Cha in vo lumemeasure , Trend

Source: Australian National Income, Expenditure and Product, (cat. no. 5206.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%

–1

0

1

2

3GDPReal net national disposable income

GDP AND REAL NET NATIONAL DISPOSABLE INCOME, (f rom Tab le 1.1)Cha in vo lume measures , Trend —Quarte r l y % change

GR A P H S


CH A P T E R 1 • N A T I O N A L A C C O U N T S


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%

–2

–1

0

1

2

GDP per hour worked market sectorHours worked market sector

LABOUR PRODUCTIV ITY (PROXY) TREND, (f rom Tab le 1.6) GDP Marketsec to r , Cha in vo lume measure—Quar te r l y % change

Source: Australian National Accounts: National Income, Expenditure and Product (cat. no. 5206.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%

–15

–10

–5

0

5

10

15DwellingsNon-dwelling construction

PRIVATE GFCF: SELECTED COMPONENTS, (f rom Tab le 1.2) Cha invo lume measure , Trend—Quar te r l y % change


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%

–10

–5

0

5

10

15

TrendSeasonally adjusted

PRIVATE GFCF, (f rom Tab le 1.2) Cha in vo lume measure, Trend —Quar te r l y % change

GR A P H S continued



Accruals-based Government Finance Statistics, (GFS) are presented in the form of

Operating Statements, Cash Flow Statements, Balance Sheets and Statements of Stocks

and Flows and the main analytical measures are described in the AEI Glossary.

Notes: A negative percentage of GDP represents a net borrowing position.A positive percentage of GDP represents a net lending position.

Source: Government Finance Statistics, (cat. no. 5512.0)

2003–04 2004–05 2005–06 2006–07 2007–08

%

–1.0

–0.8

–0.6

–0.4

–0.2

0

0.2

TOTAL PUBL IC SECTOR, (f rom Tab le 1.7) Net lend ing /bor row ing as apercen tage of GDP

Notes: PNFC = Public Non–Financial Corporations.PFC = Public Financial Corporations.

Source: Government Finance Statistics, Australia, (cat. no. 5512.0)

General Govt.

PNFC's

PFC's

Total public sector

0 10 20 30 40$billion

2007-082006-07

GFS NET OPERAT ING BALANCE, (f rom Tab le 1.7) Tota l pub l i csecto r —2006–07 and 2007–08




(a) Reference year for chain volume measure is 2006–07.Source: Australian National Accounts: National Income, Expenditure and Product, (cat. no. 5206.0)

–0.9–0.2–0.3–1.0–0.9–0.1March–0.7–0.2–0.1–0.1–0.3–0.1December–0.2–0.10.41.30.90.0September

2008–20090.80.31.12.52.00.4June1.40.71.32.01.80.7March1.40.81.30.91.00.8December

2007–2008

TR E N D — P E R C E N T A G E CH A N G E FR O M PR E V I O U S QU A R T E R

278 423266 353281 774225 228278 789273 468March281 306265 136284 709229 137282 848272 429December285 063267 360284 685233 104286 510273 970September

2008–2009283 458267 570282 931226 910281 931273 368June282 243266 286280 388219 862274 218272 425March278 206264 148276 410217 340271 276270 339December273 329262 163272 301215 631268 226268 014September

2007–2008270 564260 446270 097213 576265 988265 393June268 607257 838266 417212 567264 183263 419March

2006–2007

SE A S O N A L L Y AD J U S T E D ($ M I L L I O N )

5.53.65.34.64.83.72007–084.33.94.23.84.53.32006–073.83.04.24.54.93.02005–06

PE R C E N T A G E CH A N G E FR O M PR E V I O U S YE A R

1 116 7231 060 1671 112 056879 7431 095 7011 084 1462007–081 058 4711 023 2931 055 819840 8001 045 6741 045 6742006–071 014 966984 8011 012 989810 1331 000 4641 012 2692005–06

AN N U A L ($ M I L L I O N )

Gross

national

expenditure

Non–farm

GDP

Domestic

final

demand

Real net

national

disposable

income

Real

gross

domestic

incomeGDPPer i od

GDP AND OTHER SELECTED AGGREGATES, Cha in volume measures (a )1.1 . . . . . . . . . .



Source: Australian National Accounts: National Income, Expenditure and

Product, (cat. no. 5206.0)na not available(a) Reference year for chain volume measure is 2006–07.

0.4na–7.02.7na–0.6–4.8–5.30.30.6March–0.6na–7.6–0.8na–4.2–1.3–0.20.20.3December0.2na0.6–0.9na–1.212.91.10.60.1September

2008–20090.3na3.72.5na2.5–1.43.01.3–0.1June0.8na5.12.1na6.14.83.40.40.6March0.9na3.0–0.4na9.13.11.31.51.2December

2007–2008

PE R C E N T A G E CH A N G E FR O M PR E V I O U S QU A R T E R

273 468–4 04759 14758 239–3 3517 2425 39265 82549 475153 840March272 429–2 00663 59656 724–3 4037 2885 66669 49549 305152 955December273 97049568 79357 2043787 6045 73869 65649 186152 500September

2008–2009273 36856468 36157 7075277 6975 08168 86548 904152 384June272 425–19065 91456 2851 8557 5085 15466 86248 282152 583March270 339–29562 70555 1331 7967 0784 91764 65948 067151 689December268 01421560 88155 3511 0286 4884 76763 84447 358149 843September

2007–2008265 393–35459 47854 6235847 2694 94662 73546 698148 312June263 419–58258 78054 1792 1836 3284 40661 63046 545147 389March

2006–2007


3.70.1na0.80.20.20.12.40.62.12007–083.3nana0.80.00.30.01.10.52.22006–073.0nana0.5–0.40.10.31.90.41.42005–06

CO N T R I B U T I O N TO AN N U A L GR O W T H

3.7na12.94.1na6.46.310.63.43.72007–083.3na9.23.8na13.51.04.93.04.02006–073.0na7.22.2na3.218.68.72.52.62005–06


1 084 146783257 834224 4734 66828 73119 935264 230192 611606 5482007–081 045 674na228 452215 6952 65227 00318 756238 948186 205584 9092006–071 012 269na209 246207 8862 29823 78218 579227 867180 839562 2292005–06


General

govern-

ment

Public

corpor-

ationsPrivate

Govern-

ment

House-

holds GDP

Statis-

tical

discrep-

ancy

Imports

of

goods

and

services

Exports

of

goods

and

services

Change

in

inven-

tories

GROSS FIXED CAPITAL FORMATIONFINAL CONSUMPTIONEXPENDITURE

Per i od

EXPENDITURE ON GDP, Cha in volume measures(a)1.2 . . . . . . . . . . . . . . . . . . . . . . . . . . .




Product, (cat. no. 5206.0)na not available(a) Reference year for chain volume measure is 2006–07.

0.4–0.71.60.60.00.0–0.1–1.30.10.3March–0.6–0.91.9–0.2–1.4–0.10.0–0.10.00.2December0.20.0–0.2–0.2–0.10.00.20.30.10.0September

2008–20090.30.3–0.90.5–0.50.10.00.70.2–0.1June0.80.0–1.20.40.00.20.10.80.10.3March0.9–0.2–0.7–0.10.30.20.10.30.30.7December

2007–2008

CO N T R I B U T I O N TO QU A R T E R L Y GR O W T H

0.4na–10.33.5na–3.54.6–1.62.50.8March0.8na1.42.9na3.015.27.52.60.8December2.2na13.03.3na17.220.49.13.91.8September

2008–20093.0na14.95.6na5.92.79.84.72.7June3.4na12.13.9na18.617.08.53.73.5March4.1na10.72.6na0.92.812.34.04.1December

2007–2008

PE R C E N T A G E CH A N G E FR O M SA M E QU A R T E R OF PR E V I O U S YE A R

General

govern-

ment

Public

corpor-

ationsPrivate

Govern-

ment

House-

holds GDP

Statis-

tical

discrep-

ancy

Imports

of

goods

and

services

Exports

of

goods

and

services

Change

in

inven-

tories

GROSS FIXED CAPITAL FORMATIONFINAL CONSUMPTIONEXPENDITURE

Per i od

EXPENDITURE ON GDP, Cha in volume measures(a) co n t i n u e d1.2 . . . . . . . . . . . . . . . . . . .



(b) Reference year for chain volume measure is 2006–07.Source: Australian National Accounts: National Income, Expenditure and

Product, (cat. no. 5206.0)

(a) Basic prices are the amounts received by producers, including thevalue of any subsidies on products, but before any taxes on products.

–0.50.2–2.4–0.10.8–2.1–2.41.7–3.3–1.5–2.4March1.0–1.30.1–0.10.6–3.2–0.5–1.4–4.61.810.0December

–0.10.5–2.90.20.40.22.05.1–1.2–1.213.3September2008–2009

–0.6–0.83.5–1.6–0.51.60.8–1.10.02.5–5.3June–0.30.91.6–0.50.20.02.60.82.80.6–0.7March0.42.10.8–0.91.01.90.4–0.91.61.95.6December

2007–2008


20 4016 57712 5465 04614 99411 83919 4725 71524 71621 2077 293March20 5026 56612 8565 05214 87312 09519 9515 62025 56721 5417 471December20 3006 64912 8435 05514 78712 49120 0505 69926 80821 1596 793September

2008–200920 3126 61513 2285 04514 72312 46719 6565 42327 14521 4125 993June20 4286 66912 7845 12714 79712 26519 4945 48527 15020 8916 331March20 4826 61212 5775 15414 76812 26619 0065 44126 41920 7576 379December20 3936 47812 4725 19914 61612 03318 9235 49326 00920 3616 041September

2007–200819 9986 36112 3805 20114 28312 02118 4215 35926 01820 5565 115June19 4836 25912 2795 10714 25612 02018 6655 40726 10120 4865 765March

2006–2007


6.67.15.50.34.53.06.5–0.13.32.56.92007–088.79.15.92.13.82.05.3–1.21.97.7–17.72006–075.27.32.72.91.02.98.31.3–0.51.12.92005–06


81 61626 37351 06120 52558 90549 03277 07921 842106 72483 42024 7442007–0876 57624 61648 40920 46156 34247 62672 40821 854103 29281 41523 1522006–0770 42622 55545 72520 05054 28146 69368 74622 117101 32075 61328 1452005–06


Finance

and in-

surance

Comm-

unic-

ation

serv-

ices

Trans-

port

and

storage

Accom-

modation,

cafes

and rest-

aurants

Retail

trade

Whole-

sale

trade

Constr-

uction

Electric-

ity, gas

and

water

supply

Manuf-

acturingMining

Agricult-

ure,

forestry

and

fishingPe r i od

GROSS VALUE ADDED, By indust r y at bas ic pr i ces (a ) —Chain volume measures(b)1.3



(b) Reference year for chain volume measure is 2006–07.(c) GDP at purchaser's prices.Source: Australian National Accounts: National Income, Expenditure and


na not available(a) Basic prices are the amounts received by producers, including the

value of any subsidies on products, but before any taxes on products.

0.4na–0.1–1.00.70.0–2.71.10.44.1–2.7March–0.6na0.0–0.60.70.8–1.61.00.4–1.3–3.5December0.2na–0.80.40.7–0.63.20.60.41.5–0.8September

2008–20090.3na–0.50.70.71.41.1–0.10.4–1.03.3June0.8na–0.11.10.71.8–0.72.10.4–1.72.5March0.9na0.61.00.6–0.42.6–0.20.43.70.1December

2007–2008


273 4682 40620 983250 07921 5075 0654 02616 31811 10110 53631 720March272 429–1 13021 004252 55521 3615 0644 13516 13411 06010 12232 587December273 970–1 13521 014254 09021 2165 0254 20415 97211 02010 25633 762September

2008–2009273 368–1 00721 176253 19821 0645 0584 07315 87310 98010 10934 020June272 425–17321 283251 31520 9194 9904 02815 89010 94010 20732 920March270 33949321 295248 55120 7834 9014 05515 56010 90010 38332 109December268 01476021 166246 08820 6574 9193 95215 58310 86110 00832 090September

2007–2008265 3931 24121 022243 15720 5594 7913 99515 60910 82110 10931 644June263 419–27120 942242 76520 4334 8664 02115 45310 78110 07731 322March

2006–2007


3.7na2.13.82.53.63.52.01.50.15.12007–083.3na2.83.43.34.46.32.41.55.12.42006–073.0na2.03.03.84.02.85.01.22.13.02005–06


1 084 1467484 920999 15383 42319 86716 10962 90743 68140 708131 1392007–081 045 674na83 173962 50081 41019 18315 57161 65043 03640 667124 8302006–071 012 269na80 905931 04078 81318 37114 65160 21842 40038 683121 9112005–06


GDP(c)

Statis-

tical

discre-

pancy

Taxes

less

sub-

sidies

on pro-

ducts

Gross

value

added

at

basic

prices

Owner-

ship of

dwell-

ings

Personal

and

other

services

Cultural

and re-

creation-

al

services

Health

and

com-

munity

services

Edu-

cation

Govern-

ment

admin-

istration

and

defence

Property

and

business

servicesPe r i od

GROSS VALUE ADDED, By indust r y at bas ic pr i ces (a ) —Chain volume measures(b)

co n t i n u e d1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




Product, (cat. no. 5206.0)na not available

–0.6na2.7–0.43.71.84.3–0.3–1.1March–0.2na–2.1–1.03.91.7–6.2–7.51.2December2.9na2.32.9–1.71.7–15.75.62.6September

2008–20093.5na–3.64.32.31.817.412.51.8June2.0na1.01.9–2.11.8–8.82.82.1March2.2na2.71.70.21.87.02.81.1December

2007–2008


300 3301 25630 923268 1518 6545 2033 51959 845141 980March302 2892 93130 117269 2408 3495 1133 37460 016143 627December302 97615430 775272 0478 0335 0263 59964 876141 991September

2008–2009294 472–6130 094264 4398 1724 9414 26761 460138 343June284 581–16431 221253 5247 9854 8543 63454 627135 944March279 039–78330 926248 8978 1584 7703 98753 124133 128December273 108–1 62930 113244 6248 1424 6883 72751 678131 645September

2007–2008268 017–1 59529 187240 4257 9014 6033 32151 795129 752June264 60317628 176236 2517 6374 5213 08152 011126 516March

2006–2007


8.2na8.48.46.77.3–6.010.57.62007–088.1na5.18.57.67.0–19.912.07.92006–077.8na5.68.16.37.2–1.413.97.72005–06


1 131 918–1 430122 3241 011 02432 45419 25215 563220 374539 0202007–081 045 674na112 886932 78830 40817 93816 551199 494501 0112006–07

967 454na107 458859 99628 26616 77020 655178 180464 5162005–06


Financial

corpora-

tions

General

govern-

ment

Public

non–financial

corporations

Private

non–financial

corporations GDP

Statistical

discre-

pancy

Taxes less

subsidies

on

production

and

imports

Total

factor

income

GROSS OPERATING SURPLUS AND MIXED INCOME

Compensation

of employeesPe r i od

INCOME COMPONENT OF GDP1.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




Product, (cat. no. 5206.0)(a) Saving derived as a balancing item.

22 46747 216219 703289 386–190–9 49830 923126 171141 980March25 94946 256216 620288 825–172–10 36030 117125 614143 627December32 26645 336214 525292 128–89–10 60530 775130 056141 991September

2008–200925 98944 409211 458281 856–94–12 58330 094126 096138 343June20 13943 489208 832272 460–80–12 20531 221117 580135 944March18 83642 617205 825267 278–122–12 42330 926115 769133 128December19 95941 791201 290263 040–46–11 65130 113112 979131 645September

2007–200819 14941 006197 467257 622–97–11 89329 187110 672129 752June18 25040 181194 294252 725–69–11 63328 176109 735126 516March

2006–2007


84 337172 306827 5811 084 224–344–48 780122 324472 004539 0202007–0869 685159 102771 114999 902–339–45 433112 886431 777501 0112006–0762 623146 126720 597929 347–649–37 458107 458395 480464 5162005–06


Net

saving(a)

Consump-

tion of

fixed

capital

Final

consump-

tion

expend-

iture

Gross

dispos-

able

income

Net secon-

dary

income

receivable

from

non–resi-

dents

Net

primary

income

receiv-

able from

non–resi-

dents

Taxes less

subsidies

on

production

and

imports

Gross

operating

surplus

and

mixed

income

Compen-

sation of

employ-

eesPe r i od

NATIONAL INCOME ACCOUNT1.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(d) By convention, zero productivity growth is assumed for industries inthe non–market sector, mainly government and some serviceindustries. Therefore, a better indicator of productivity change isprovided by the series showing market sector constant price grossproduct per hour worked.



(a) Sales is defined as gross non-farm product plus imports of goodsand services less changes in private non–farm inventories.

(b) Corporate gross operating surplus include private corporate tradingenterprises plus financial enterprises less imputed bank servicecharge. TFI = Total factor income.

(c) Interest paid component contains original data.

99.8101.7102.311.452.926.91.80.65777.7March99.9102.3100.713.453.326.66.90.63477.9December

101.0101.5101.116.252.228.12.20.64377.9September2008–2009

101.3101.7101.216.252.327.90.80.65178.0June101.4101.8100.815.253.626.10.80.66878.2March101.1101.1100.714.353.526.20.30.67878.1December100.6100.8100.913.453.826.01.90.67678.4September

2007–2008100.0100.2100.312.754.026.23.20.67278.2June

99.7100.8100.712.453.626.62.40.67978.4March2006–2007

SE A S O N A L L Y AD J U S T E D (U N L E S S FO O T N O T E D )

101.9101.3100.914.853.326.50.90.66478.22007–08100.0100.0100.012.253.726.42.00.67678.02006–07

98.499.399.310.654.026.40.00.70378.32005–06

AN N U A L

GDP

per

capita

Market

sector

gross

product

per hour

worked(d)

GDP

per

hour

worked

Interest

payable to

household

disposable

income(c)

Compen-

sation of

employees

to TFI(b)

Corporate

gross

operating

surplus

to TFI(b)

Household

saving

ratio

Private

non–farm

inventories

to sales(a)

Private

final

demand

to total

domestic

demand

INDEXES OF GROSSPRODUCT PER HOURWORKED AND GDP DATA PERCAPITA (2006–07=100.0)RATIOS (PER CENT)

Per i od

NATIONAL ACCOUNTS RAT IOS AND INDEXES1.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Government Finance Statistics, Australia, (cat. no. 5512.0) and Public Finance Section.

3 2921 589–12 99814 50533 3551 7032 16929 5122007–089 625721–8 54617 24334 2308832 93430 2772006–07

10 555734–9 48518 99028 447765–56028 1632005–06


Total

public

sector

Public

financial

corporations

Public

non–financial

corporations

General

Government

Total

public

sector

Public

financial

corporations

Public

non–financial

corporations

General

Government

GFS NET LENDING(+)/BORROWING(-)GFS NET OPERATING BALANCE

Per i od

ALL AUSTRAL IAN GOVERNMENTS, Government Finance Stat i s t i cs1.7 . . . . . . . . . . . . . . .

Source: Government Finance Statistics, Australia, (cat. no. 5512.0) and Public Finance Section.

–68 522–67 426–38 674–41 41152 09845 743–81 946–71 757Net debt862 558714 2570000862 558714 257GFS Net worth

0018 92921 686206 015183 30800Shares and other

contributed capital

620 538582 962261 283273 826101 32596 421377 765366 844Total liabilities1 483 0961 297 219280 213295 511307 339279 7291 240 3231 081 101Total assets


2007-082006-072007-082006-072007-082006-072007-082006-07

TOTAL PUBLIC SECTORPUBLIC FINANCIALCORPORATIONS

PUBLICNON–FINANCIALCORPORATIONSGENERAL GOVERNMENT

ALL AUSTRAL IAN GOVERNMENTS, Government Finance Stat i s t i cs balance

sheet—as at 30 June 20071.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 2 IN T E R N A T I O N A L AC C O U N T S . . . . . . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

50

Merchandise trade shares, By selected member countries of the

European Union

2.17. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

49

Merchandise trade, By selected member countries of the European

Union

2.16. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

48

Merchandise trade shares, By selected countries of the Association of

South-East Asian Nations

2.15. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

47

Merchandise trade, By selected countries of the Association of

South-East Asian Nations

2.14. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

46Merchandise trade shares, By selected countries and country groups2.13 . . . . . .45Merchandise trade, By selected countries and country groups2.12 . . . . . . . . . .44Balance of payments and international investment position ratios2.11 . . . . . . . .43International investment position, By type of investment2.10 . . . . . . . . . . . . .42International investment position2.9 . . . . . . . . . . . . . . . . . . . . . . . . . . . .42Investment income2.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .41Services2.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38Goods debits, By commodity group2.6 . . . . . . . . . . . . . . . . . . . . . . . . . . .36Goods credits, By commodity group2.5 . . . . . . . . . . . . . . . . . . . . . . . . . .35International trade in goods and services2.4 . . . . . . . . . . . . . . . . . . . . . . .34International trade in goods and services, Chain volume measures2.3 . . . . . . .33Balance of payments, Capital and financial account2.2 . . . . . . . . . . . . . . . . .32Balance of payments, Current account2.1 . . . . . . . . . . . . . . . . . . . . . . . . .

TA B L E S


Source: Balance of Payments and International Investment Position, Australia, (cat. no. 5302.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

–40

–20

0

20

40

60Direct investmentPortfolio investment

FINANCIAL ACCOUNT, (f rom Tab le 2.2) Selec ted types of inves tment


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

10

20

30

40

50

60

70

CreditDebits

GOODS, (f rom Tab le 2.1) Trend


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

–25

–20

–15

–10

–5

0

TrendSeasonally Adjusted

BALANCE ON CURRENT ACCOUNT, (f rom Tab le 2.1)GR A P H S


CH A P T E R 2 • I N T E R N A T I O N A L A C C O U N T S

Source: International Trade in Goods and Services, Australia, (cat. no. 5368.0)

May1997

May2000

May2003

May2006

May2009

$m

2000

3000

4000

5000CreditsDebits

SERVICES, (f rom Tab le 2.7) Trend

(a) Reference year 2006–07


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

–30

–25

–20

–15

–10

–5

0

Consumption goodsCapital goodsIntermediate and other goods

COMPONENTS OF GOODS DEBITS, (f rom Tab le 2.3) Cha in vo lumemeasures —Seasona l l y adjus ted



Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

0

10

20

30

40Rural goodsNon–rural and other

COMPONENTS OF GOODS CREDITS, (f rom Tab le 2.3) Cha in vo lumemeasures —Seasona l l y adjus ted





May1997

May2000

May2003

May2006

May2009

%

0

5

10

15

20

25

30JapanUSAASEAN

EXPORT SHARES WITH SELECTED COUNTRIES AND COUNTRY GROUPS,(f rom Tab le 2.13)


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%

35

40

45

50

55

60

NET FOREIGN DEBT TO GDP, (f rom Tab le 2.11)


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%

–7

–6

–5

–4

–3

–2

Balance on current accountNet Income

CURRENT ACCOUNT TO GDP, (f rom Tab le 2.11)GR A P H S continued




May1997

May2000

May2003

May2006

May2009

%

0

20

40

60

80GermanyItalyUnited Kingdom

EXPORT SHARES WITH SELECTED EUROPEAN UNION COUNTRIES,(f rom Tab le 2.17)


May1997

May2000

May2003

May2006

May2009

%

10

20

30

40

50IndonesiaMalaysiaSingaporeThailand

EXPORT SHARES WITH SELECTED ASEAN COUNTRIES, (f rom Tab le2.15)




(a) The estimates for goods and services are not necessarily consistent with the corresponding monthly estimates, shown intables 2.4 to 2.7 obtained from International Trade in Good and Services, Australia, (cat. no. 5368.0) issued monthly, dueto data revisions to the original monthly data not feeding into the quarterly original series until the next quarterly release ofBalance of Payments and International Investment Position, Australia, (cat. no. 5302.0).

(b) In addition to the differences outlined in footnote (a), the quarterly seasonally adjusted estimates for goods and services arenot necessarily consistent with corresponding monthly seasonally adjusted estimates, shown in table 2.4 due to theindependent seasonal adjustment of the Quarterly and Monthly data.


–190–9 498448–54 61559 2414 6265 075–4 614March–172–10 360–191–61 17265 5384 3664 175–6 357December

–89–10 605–397–58 52659 9221 396999–9 695September2008–2009

–94–12 583–16–55 28453 197–2 088–2 103–14 780June–80–12 20588–53 08445 162–7 922–7 834–20 118March

–122–12 423247–49 04142 319–6 722–6 475–19 020December–46–11 651390–47 73942 146–5 592–5 202–16 900September

2007–2008–97–11 893399–47 29342 668–4 625–4 226–16 215June–69–11 633440–46 89742 617–4 280–3 840–15 541March

2006–2007

SE A S O N A L L Y AD J U S T E D ($ M I L L I O N ) (b)

–344–48 780765–205 089182 816–22 273–21 508–70 6322007–08–339–45 4331 753–184 024169 514–14 510–12 757–58 5292006–07–649–37 458771–169 716154 425–15 291–14 520–52 6272005–06

AN N U A L ($ M I L L I O N ) (a)

Current

transfersIncomeServices

Goods

debits

Goods

creditsGoods

Balance

on goods

and

services

Balanceon

currentaccountPer i od

BALANCE OF PAYMENTS, Cur ren t account2.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




–549–1 836–22 7191 44536 2474 909–14 257–9 3483 7899274 716March–489–2 188406980–7 88923 407–7 30616 1017 4103607 770December2965 08219 107–4 706–11 46012 108–9 6442 46410 48778311 270September

2008–2009559–1 9874 4764 28015 2654 708–14 797–10 08911 94553712 482June206–5 397–19 6361 60337 36015 540–11 0984 44218 37260218 974March47523 59527 994–14 646–25 754–2937 8707 57718 76646219 228December

–228 081–1 905–394–32 05739 830–15 41124 41918 14456618 710September2007–2008

–395–10 1119 90368416 5481 073–3 650–2 57714 44738114 828June56–1 577–2 99017515 45912 368–8 8933 47514 54253915 081March

2006–2007

QU A R T E R L Y OR I G I N A L ($ M I L L I O N )

1 23844 29210 929–9 157–5 18659 785–33 43626 34967 2272 16769 3942007–08–915–20 1272553 46963 33840 745–30 61610 12957 0642 38059 4442006–07

–1 064–5 6055 230–3 76862 56423 239–29 695–6 45651 9651 72653 6912005–06


Net

errors

and

omis-

sions

Reserve

assets

Other

invest-

ment

Finan-

cial

deriva-

tives

Portfolio

invest-

ment

Direct

invest-

ment in

Australia

Direct

invest-

ment

abroad

Direct

invest-

ment

net

Finan-

cial

account

Capital

account

Capitaland

finan-cial

accountPer i od

BALANCE OF PAYMENTS, Cap i ta l and f inanc ia l account2.2 . . . . . . . . . . . . . . . . . . . . . . .



Source: Balance of Payments and International Investment Position,

Australia, (cat. no. 5302.0)(a) Reference year 2006–07

0.1–8.4–7.1–10.3–8.6–7.02.40.418.32.82.786.8March–14.5–2.8–9.1–7.9–5.8–7.60.1–1.73.0–1.1–0.840.7December

–2.92.06.6–3.21.60.6–2.50.6–6.7–0.4–0.9–8.8September2008–2009

6.74.31.42.23.03.73.01.67.82.42.5–10.7June4.33.610.04.35.35.13.71.52.51.62.1–27.2March4.2–0.34.36.12.73.00.9–0.5–2.2–0.7–0.4–36.9December

2007–2008


–11 666–22 691–11 768–13 022–47 482–59 14712 87538 3946 96945 36458 239–908March–11 658–24 764–12 664–14 510–51 938–63 59612 57938 2535 89244 14656 724–6 872December–13 638–25 471–13 930–15 754–55 156–68 79312 56238 9245 71844 64257 204–11 589September

2008–2009–14 051–24 965–13 062–16 282–54 310–68 36112 87938 7016 12744 82857 707–10 655June–13 167–23 931–12 884–15 932–52 746–65 91412 50738 0925 68643 77856 285–9 628March–12 623–23 089–11 715–15 278–50 082–62 70512 05737 5315 54543 07655 133–7 571December–12 109–23 147–11 227–14 397–48 772–60 88111 95037 7325 66843 40055 351–5 530September

2007–2008–11 658–22 814–11 022–13 979–47 818–59 47811 76737 0805 80042 86154 623–4 855June–11 284–22 520–10 939–14 024–47 491–58 78011 68736 6365 87742 49454 179–4 601March

2006–2007


16.98.917.112.711.912.96.95.3–8.23.34.1–161.52007–087.77.99.711.99.59.26.64.4–3.43.23.8–838.02006–072.94.716.47.78.57.21.83.5–1.62.52.2–116.42005–06


–51 923–95 132–48 888–61 890–205 912–257 83449 391152 05623 026175 083224 473–33 3612007–08–44 427–87 346–41 766–54 913–184 024–228 45246 182144 43925 074169 515215 695–12 7572006–07–41 250–80 924–38 074–49 069–168 016–209 24643 326138 28925 950164 308207 887–1 3602005–06


Services

Inter-

mediate

and other

goods

Capital

goods

Consump-

tion goods

Total

goods

Total

goods

and

servicesServices

Non–

rural and

other

goods

Rural

goods

Total

goods

Total

goods

and

services

Ongoods

andservices

DEBITSCREDITSBALANCE

Per i od

INTERNAT IONAL TRADE IN GOODS AND SERVICES, Cha in volume measures (a )2.3 . . .



(c) In addition to the differences outlined in footnote (b), the monthlyseasonally adjusted estimates for goods and services are notnecessarily consistent with the corresponding quarterly seasonallyadjusted estimates, shown in table 2.1 obtained from Balance of

Payments and International Investment Position, Australia, (cat. no.5302.0), because of the independent seasonal adjustment of themonthly and quarterly data.

Source: International Trade in Goods and Services, Australia, (cat. no.5368.0)

na not available(a) For all time periods, estimates for sugar, sugar preparations and honey

are included in Other non–rural.(b) The estimates for goods and services are not necessarily consistent

with the corresponding quarterly estimates, shown in tables 2.1obtained from Balance of Payments and International Investment

Position, Australia, (cat. no. 5302.0) due to data revisions to theoriginal monthly data not feeding into the quarterly original series untilthe next quarterly release of Balance of Payments and International

Investment Position, Australia, (cat. no. 5302.0).

–0.8–2.1–13.8–1.1–4.7–3.80.6–7.3–3.5–6.8–5.2naMay3.9–4.1–1.0–1.3–2.6–1.32.5–14.0–11.8–13.7–10.7naApril

–3.7–9.1–10.915.0–3.7–3.7–0.3–2.99.2–1.3–1.1naMarch0.13.27.8–13.5–0.4–0.30.25.03.64.83.9naFebruary

–4.6–4.7–15.6–4.9–7.6–7.00.3–7.2–1.9–6.6–5.3naJanuary–2.0–15.218.71.6–3.6–3.31.4–8.30.9–7.2–5.8naDecember

2008–2009

PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

–4 550–7 762–3 615–5 021–16 398–20 9484 66813 3502 37515 72420 392–556May–4 587–7 932–4 192–5 075–17 199–21 7864 64114 4022 46116 86321 504–282April–4 416–8 274–4 236–5 143–17 653–22 0684 52916 7502 78919 53924 0682 000March–4 587–9 099–4 755–4 472–18 325–22 9124 54217 2422 55419 79624 3381 426February–4 581–8 818–4 410–5 167–18 395–22 9754 53316 4172 46618 88323 416440January–4 801–9 256–5 225–5 431–19 912–24 7124 51817 6932 51520 20824 72613December–4 899–10 917–4 400–5 343–20 660–25 5604 45619 2922 49321 78526 241681November–4 834–10 566–4 438–5 235–20 238–25 0724 43720 4572 57223 02827 4652 393October–4 864–10 707–4 433–5 101–20 241–25 1054 38419 4022 24221 64426 027922September–4 869–9 551–4 253–5 057–18 861–23 7304 39017 7602 31120 07124 462732August–4 787–10 330–4 035–5 147–19 512–24 2994 46916 4962 21918 71523 184–1 115July

2008–2009–4 822–9 256–4 179–5 173–18 608–23 4304 56516 2122 27218 48423 049–381June–4 767–9 931–3 944–5 298–19 172–23 9394 49315 5152 44117 95622 449–1 490May–4 672–8 966–3 826–4 925–17 718–22 3894 36115 0192 42517 44421 805–584April–4 525–8 547–4 180–5 156–17 882–22 4084 37413 0142 20615 22019 594–2 813March

2007–2008

SE A S O N A L L Y AD J U S T E D ($ M I L L I O N ) (c)

17.615.08.68.111.512.710.58.91.67.88.4na2007–088.210.04.29.38.48.410.411.8–0.89.89.9na2006–074.517.211.16.812.510.85.426.3–1.520.817.1na2005–06


–52 250–100 442–45 351–59 371–205 164–257 41451 035157 33625 480182 816233 851–23 5632007–08–44 428–87 346–41 765–54 913–184 024–228 45246 181144 43925 075169 514215 695–12 7572006–07–41 078–79 418–40 077–50 221–169 716–210 79441 849129 15925 266154 425196 274–14 5202005–06

AN N U A L ($ M I L L I O N ) (b)

Services

Inter-

mediate

and other

goods

Capital

goods

Consum-

ption

goods

Total

goods

Total

goods

and

servicesServices

Non–

rural and

other

goods

Rural

goods

(a)Total

goods

Total

goods

and

services

Ongoods

andservices

DEBITSCREDITSBALANCE

Per i od

INTERNAT IONAL TRADE IN GOODS AND SERVICES2.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) The estimates for goods are not necessarily consistent with the corresponding quarterly estimates, shown in tables 2.4 obtained from Balance of

Payments and International Investment Position, Australia, (cat. no. 5302.0) due to data revisions to the original monthly data not feeding into thequarterly original series until the next quarterly release of Balance of Payments and International Investment Position, Australia, (cat. no. 5302.0).


1 4652316802 3761 0781896076322 50615 863May1 3212526602 2331 0521876875592 48516 296April1 5423657852 6921 1402279226812 97019 970March1 3783287232 4291 0022056896272 52318 571February1 1242375131 8741 0541306203912 19517 435January1 5575558312 9431 1372016036702 61121 109December1 6364918803 0071 1482283617712 50821 858November1 6307488623 2401 1712724358002 67824 290October1 6135417822 9361 0132053626372 21721 786September1 5375628192 9181 0681345115752 28820 662August1 4795377382 7548891964895752 14918 858July

2008–20091 4044716852 5609401795015522 17218 428June1 4926407602 8929962457346512 62618 104May1 5344667472 7471 0212325945852 43216 711April1 4044507222 5769592935445742 37015 537March

2007–2008

MO N T H L Y ($ M I L L I O N )

17 0005 7198 79231 51111 1682 7964 9766 54025 480182 8162007–0816 2684 6488 42229 33810 7613 0654 1717 07825 075169 5142006–0714 9965 3148 06628 37611 1612 5444 8526 70925 266154 4252005–06


Manufact-

ures n.e.s.

Trans-

port

equip-

ment

Machin-

ery

Total

Manu-

factu-

ring

Other

rural(a)

Wool

and

sheep-

skins

Cereals

grains

and

cereal

prepar-

ations

Meat

and

meat

prepar-

ations

Total

rural

goods

MANUFACTURINGRURAL GOODS

Total

goodsPe r i od

GOODS CREDITS, By commod i t y group2.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) For all time period, estimates for sugar, sugar preparations and honey are included in Other non–rural.(b) Includes Goods and processing; Repairs on goods; Goods procured in ports by carriers; and Non–monetary

gold.Source: International Trade in Goods and Services, Australia, (cat. no. 5368.0)

1 1719968841 1263 0723 7328 814May1 5338248281 1683 5053 7209 221April2 3311 0208341 3594 1644 60010 957March2 4587697931 4953 9694 13510 392February1 6487668271 6424 5343 94910 952January1 5421 0461 0012 0325 5864 34812 967December1 6249741 2052 2146 1904 13613 745November1 8099961 2702 2726 5275 49815 567October1 5299851 2842 0335 4135 38914 119September1 5059701 3342 0304 8624 75512 981August1 6178061 1931 9913 9164 43211 532July

2008–20091 0589331 2981 9224 0094 47611 705June1 0731 0991 2991 7982 9874 33010 414May1 4421 1081 1011 6732 3033 9058 982April1 1441 0741 3141 6271 8663 5668 373March

2007–2008


14 19812 76414 03818 88924 59941 33798 8632007–0812 62614 77014 82015 64221 92835 31587 7052006–0710 94912 05911 27113 21824 35228 93477 7752005–06


Other

metals

(excl.

gold)

Other

mineral

fuels

Coal,

coke and

briquettes

Metal

ores and

minerals

Total

Minerals

and

Metals

Total

other

goods-

(b)

Other

non-

rural

(a)

MINERALS AND METALS

Per i od

GOODS CREDITS, By commod i t y group co n t i n u e d2.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) The estimates for goods and services are not necessarily consistent with the corresponding quarterly estimates, shown in tables 2.1 obtainedfrom Balance of Payments and International Investment Position, Australia, (cat. no. 5302.0) due to data revisions to the original monthlydata not feeding into the quarterly original series until the next quarterly release of Balance of Payments and International Investment Position,

Australia, (cat. no. 5302.0).(b) Includes Consumption goods n.e.s. and Household electrical items.Source: International Trade in Goods and Services, Australia, (cat. no. 5368.0)

–2 096–452–528–832–639–4 547–15 508May–2 114–384–667–871–695–4 731–16 625April–2 167–403–754–865–755–4 944–17 688March–1 763–295–703–663–616–4 040–16 851February–1 948–364–864–915–755–4 846–17 595January–2 185–429–719–1 309–887–5 529–20 386December–2 490–532–729–1 203–839–5 793–21 399November–2 587–605–774–1 295–874–6 135–22 206October–2 212–555–695–1 316–800–5 578–21 153September–1 967–402–659–1 389–656–5 073–18 752August–2 135–426–641–1 416–666–5 284–19 764July

2008–2009–1 900–371–501–1 395–602–4 769–17 912June–1 847–423–514–1 583–649–5 016–18 608May–1 897–337–586–1 495–643–4 958–17 878April–1 702–294–483–1 500–615–4 594–17 036March

2007–2008


–23 047–4 561–7 051–16 872–7 840–59 371–205 1642007–08–21 704–4 328–6 805–14 894–7 182–54 913–184 0242006–07–20 035–4 057–6 364–13 596–6 169–50 221–169 7162005–06


Other

consumption

goods(b)

Toys,

books

and

leisure

goods

Textiles,

clothing

and

footwear

Non–industrial

transport

equipment

Food and

beverages for

consumption

Total

consumption

goods

CONSUMPTION GOODS

Total

goodsPe r i od

GOODS DEBITS (a) , By commod i t y group2.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) The estimates for goods and services are not necessarily consistent with the corresponding quarterly estimates, shown in tables 2.1 obtained fromBalance of Payments and International Investment Position, Australia, (cat. no. 5302.0) due to data revisions to the original monthly data notfeeding into the quarterly original series until the next quarterly release of Balance of Payments and International Investment Position, Australia,

(cat. no. 5302.0).(b) ADP, Automated Data Processing.(c) Includes Capital goods n.e.s.; Telecommunications equipment and Civil aircraft.Source: International Trade in Goods and Services, Australia, (cat. no. 5368.0)

–566–1 777–6 343–1 492–316–530–1 144–3 482May–637–1 794–7 046–1 750–299–613–1 344–4 006April–676–1 704–7 065–1 507–409–623–1 806–4 345March–560–1 870–6 713–2 001–395–473–1 284–4 153February–627–1 823–7 386–1 494–470–514–1 568–4 046January–691–2 055–8 358–2 363–602–715–1 836–5 516December–856–2 407–9 070–1 673–665–667–1 748–4 753November–910–3 295–10 246–1 583–680–769–1 777–4 809October–853–3 145–9 794–1 635–774–585–1 561–4 555September–834–2 672–8 420–1 288–767–554–1 599–4 208August–805–3 663–9 261–1 151–815–575–1 507–4 048July

2008–2009–733–2 863–8 005–1 480–757–610–1 377–4 224June–789–3 210–8 775–1 166–663–592–1 400–3 821May–763–2 868–8 242–1 103–661–623–1 361–3 748April–715–2 738–7 564–1 410–658–581–1 471–4 120March

2007–2008


–8 833–29 772–90 693–14 243–7 554–7 074–16 480–45 3512007–08–8 355–21 470–79 923–12 973–6 454–7 008–15 330–41 7652006–07–7 315–21 014–72 737–14 081–5 491–6 158–14 347–40 0772005–06


Parts for

transport

equipment

Fuels and

lubricants

Total

I & OMG

Other

capital

goods(c)

Industrial

transport

equipment

n.e.s.

ADP

equipment

(b)

Machinery

and

industrial

equipment

Total

capital

goods

INTERMEDIATE AND OTHERMERCHANDISE GOODSCAPITAL GOODS

Per i od

GOODS DEBITS (a) , By commod i t y group co n t i n u e d2.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(b) Includes Goods for processing; Repairs on goods; Goodsprocured in ports by carriers; and Non-monetary old.

(c) ADP, Automated Data Processing.(d) Includes Other merchandise goods; Food and beverages, mainly

for industry; Primary industrial supplies n.e.s.; Paper andpaperboard; and Iron and steel.

Source: International Trade in Goods and Services, Australia, (cat. no.5368.0)

(a) The estimates for goods and services are not necessarilyconsistent with the corresponding quarterly estimates, shown intables 2.1 obtained from Balance of Payments and International

Investment Position, Australia, (cat. no. 5302.0) due to datarevisions to the original monthly data not feeding into thequarterly original series until the next quarterly release ofBalance of Payments and International Investment Position,

Australia, (cat. no. 5302.0).

–1 136–639–1 485–192–93–363–1 145–83May–842–906–1 632–215–100–406–1 274–82April

–1 334–839–1 781–243–114–357–1 249–102March–1 945–848–1 590–207–94–437–1 034–73February–1 317–1 109–1 732–232–111–475–1 195–82January

–983–1 208–2 057–270–117–532–1 332–96December–1 783–1 246–2 199–309–132–504–1 303–114November–1 016–1 424–2 226–333–140–556–1 274–88October–1 226–1 483–2 090–300–127–474–1 233–89September–1 051–1 119–1 823–262–112–480–1 035–83August–1 171–1 044–1 792–267–111–429–1 062–88July

2008–2009–914–863–1 702–249–104–418–978–95June–996–886–1 896–266–109–413–1 111–95May–930–802–1 879–257–112–409–1 064–88April–758–781–1 646–238–98–349–912–87March

2007–2008


–9 749–9 899–20 013–3 064–1 334–4 673–11 990–1 1152007–08–7 423–10 175–17 794–2 957–1 366–4 406–11 780–1 6202006–07–6 681–8 511–15 863–2 517–1 361–4 133–10 166–1 8572005–06


Other(d)

Processed

industrial

supplies

n.e.s.Plastics

Textile

yarn

and

fabrics

Organic

and

inorganic

chemicals

Other

parts

for

capital

goods

Parts for ADP

equipment(c)Other

goods(b)

INTERMEDIATE AND OTHER MERCHANDISE GOODS continued

Per i od

GOODS DEBITS (a) , By commod i t y group co n t i n u e d2.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) The estimates for goods and services are not necessarily consistent with the corresponding quarterly estimates, shown in table 2.1 obtained from Balance

of Payments and International Investment Position, Australia, (cat. no. 5302.0) due to data revisions to the original monthly data not feeding into thequarterly original series until the next quarterly release of Balance of Payments and International Investment Position, Australia, (cat. no. 5302.0).


–1 538–1 774–531–504–4 3471 2932 658554504 555208May–1 539–1 865–488–563–4 4551 2932 810592504 745290April–1 486–1 519–530–652–4 1871 1602 834620504 664477March–1 481–1 405–484–605–3 9751 1602 743640504 593618February–1 475–2 100–521–728–4 8241 1602 540705504 455–369January–1 579–1 949–606–932–5 0661 2962 440683544 473–593December–1 558–1 642–554–962–4 7161 2932 543639564 531–185November–1 558–1 989–629–999–5 1751 2932 627618564 594–581October–1 527–2 127–722–902–5 2781 2162 279652674 214–1 064September–1 516–1 896–642–783–4 8371 2172 525692674 501–336August–1 508–2 021–649–782–4 9601 2162 548716674 547–413July

2008–2009–1 475–1 927–795–679–4 8761 2222 264681534 220–656June–1 432–1 692–695–729–4 5481 2242 401695514 371–177May–1 433–1 743–601–746–4 5231 2242 432739514 446–77April–1 288–1 580–670–701–4 2391 0752 604796484 523284March

2007–2008

MO N T H L Y ($ M I L L I O N ) (a)

–15 717–20 153–7 780–8 600–52 25013 53628 2528 61063751 035–1 2152007–08–13 134–15 934–7 324–8 036–44 42812 40325 1618 00860946 1811 7532006–07–11 480–15 090–6 732–7 776–41 07811 01722 6247 60060841 8497712005–06

AN N U A L ($ M I L L I O N ) (a)

Other

servicesTravel

Other

trans-

portationFreight

Total

services

Other

servicesTravel

Other

trans-

portationFreight

Total

services

DEBITSCREDITS

NetservicesPer i od

SERVICES2.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




–1 048–10 559–6 804–18 4116063 0035 7969 405–9 006March–1 244–10 307–8 329–19 8808343 2835 8419 958–9 922December–1 204–10 417–10 616–22 2376014 1755 58810 364–11 873September

2008–2009–1 124–10 494–11 041–22 6595814 6626 07911 322–11 337June–1 239–10 848–9 787–21 8746674 0145 49010 171–11 703March–1 366–9 868–9 950–21 1847513 5524 8529 155–12 029December–1 225–11 224–10 345–22 7941 1163 6434 9839 742–13 052September

2007–2008–1 296–9 898–10 004–21 1981 2553 4765 65510 386–10 812June–1 177–9 862–9 244–20 2831 0832 6895 2869 058–11 225March

2006–2007

QU A R T E R L Y ($ M I L L I O N )

–4 954–42 434–41 123–88 5113 11515 87121 40440 390–48 1212007–08–4 996–37 781–37 262–80 0394 19011 52419 24534 959–45 0802006–07–3 969–28 641–29 991–62 6013 1218 66913 69225 482–37 1192005–06


OtherPortfolioDirectTotalOtherPortfolioDirectTotal

DEBITSCREDITSNet

InvestmentincomePer i od

INVESTMENT INCOME2.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .


1 227 415531 3981 758 813553 235470 9401 024 175674 18060 459734 638March1 260 472515 9911 776 463565 226497 4361 062 662695 24718 555713 802December1 194 306578 1641 772 470528 210544 2751 072 485666 09633 889699 985September

2008–20091 100 013627 9291 727 942479 903568 7091 048 612620 11059 220679 330June1 083 714618 3901 702 104465 330572 8321 038 162618 38445 558663 943March1 034 626669 9701 704 596428 880620 6291 049 509605 74649 341655 087December1 033 299673 7981 707 097438 981634 2941 073 274594 31839 504633 822September

2007–2008994 650650 0451 644 695441 485575 0811 016 566553 16574 964628 129June954 945615 1541 570 099411 351550 022961 373543 59465 131608 726March

2006–20071 100 013627 9291 727 942479 903568 7091 048 612620 11059 220679 3302007–08

994 650650 0451 644 695441 485575 0811 016 566553 16574 964628 1292006–07856 291516 4881 372 779349 936480 970830 906506 35535 518541 8732005–06

DebtEquityTotalDebtEquityTotalDebtEquityTotal

FOREIGN LIABILITIESFOREIGN ASSETSNET INTERNATIONALINVESTMENT POSITION

Per i od

INTERNAT IONAL INVESTMENT POSIT ION2.9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




–47 333–203 358–96 043–345 056–285 183–976 974286 30293 222927 844404 2451 711 612March–47 527–196 119–112 881–373 050–281 064–1 010 642302 627107 742921 213392 8621 724 444December–36 038–179 168–100 911–415 956–291 413–1 023 485271 415101 782964 711385 5621 723 470September

2008–2009–35 856–149 660–90 179–408 829–318 218–1 002 741215 00097 051978 424391 5961 682 071June–36 342–138 936–87 918–423 837–304 385–991 417203 69984 951976 326390 3841 655 360March–30 521–121 509–73 694–448 300–328 398–1 002 422207 54570 492991 931387 5411 657 509December–52 668–122 368–66 771–428 792–356 759–1 027 358179 24379 9551 011 774390 2071 661 180September

2007–2008–79 682–123 165–51 132–397 863–316 844–968 687183 07662 2341 000 261351 2461 596 816June–71 256–116 699–44 992–377 769–307 933–918 649167 83050 080964 176345 2881 527 375March

2006–2007

QU A R T E R L Y ($ M I L L I O N )

–35 856–149 660–90 179–408 829–318 218–1 002 741215 00097 051978 424391 5961 682 0712007–08–79 682–123 165–51 132–397 863–316 844–968 687183 07662 2341 000 261351 2461 596 8162006–07–63 815–103 206–42 326–310 169–272 102–791 618169 29637 133825 903301 1581 333 4912005–06


Reserve

assets

Other

invest–

ment

Financial

deriva–

tives

Portfolio

invest–

ment

Direct

invest–

mentTotal

Other

invest–

ment

Financial

deriva–

tives

Portfolio

invest–

ment

Direct

invest–

mentTotal

AUSTRALIAN INVESTMENT ABROADFOREIGN INVESTMENT IN AUSTRALIA

Per i od

INTERNAT IONAL INVESTMENT POSIT ION, By type of inves tment2.10 . . . . . . . . . . . . . . .



(a) Derived from current price original data. The net international investment position ratios are derived from the net foreign liabilities at the end of the periodand Gross Domestic Product for the year ended with that period. Other ratios use only data for the year ended with the period shown.

(b) For the latest reference period, GDP for the year ended with the previous quarter is used.Source: International Trade in Goods and Services, Australia, (cat. no. 5368.0)

–9.8–4.657.15.1–3.7–24.124.7–3.1March–10.2–5.958.81.6–3.9–23.923.5–4.3December–11.1–7.557.42.9–4.1–23.221.8–5.5September

2008–2009–12.1–8.554.85.2–4.3–22.620.7–6.2June–12.4–9.155.94.1–4.4–22.220.1–6.5March–12.1–9.555.74.5–4.4–21.920.0–6.3December–11.8–9.655.83.7–4.4–21.920.3–5.9September

2007–2008–11.3–9.652.97.2–4.3–21.820.6–5.6June–10.7–9.453.16.4–4.2–22.120.9–5.4March

2006–2007

QU A R T E R L Y ( P E R CE N T )

–12.1–8.554.85.2–4.3–22.620.7–6.22007–08–11.3–9.652.97.2–4.3–21.820.6–5.62006–07

–9.2–9.752.33.7–3.9–21.820.3–5.42005–06

AN N U A L (P E R CE N T )

Net

investment

income —

Net foreign

debt

Net

investment

income —

Net foreign

equity

Net

international

investment

position —

Net foreign

debt

Net

international

investment

position —

Net foreign

equityIncome

Goods

and

Services

—Debits

Goods

and

Services

—Credits

RATIOS TO GOODS ANDSERVICES CREDITSRATIOS TO GDP(b)

CurrentaccountPer i od

BALANCE OF PAYMENTS AND INTERNAT IONAL INVESTMENT POSIT ION RAT IOS (a)2.11



(a) The exports data presented in this table differ from those in Tables 2.1 to 2.5 because they are recorded on an international trade basisrather than a balance of payments basis and are compiled from a different edition of the data.

(b) The ten member nations of ASEAN are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Phillippines, Singapore, Thailand and VietNam.

(c) The twenty seven member states of the EU are Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany,Greece, Hungary, Republic of Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Slovak Republic, Slovenia,Spain, Sweden, and the United Kingdom. Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovak Republic andSlovenia are included from July 2004. Bulgaria and Romania are included from August 2007.


4 641–3 4268282 9693938 316561–2 7542 421–5 941March4 038–3 7091 2694 71129612 834397–5 845–2 944–6 392December1 747–3 3251 0303 0674829 177333–6 42669–6 789September

2008–2009–1 662–3 3081 0122 5345805 715410–6 348533–5 897June–7 725–4 2295341 6503832 797443–5 318–569–5 738March–7 165–3 0063881 9726252 895324–4 693–2 002–5 524December–4 898–3 1814171 9208963 881281–6 405–1 922–4 588September

2007–2008–3 224–3 7434621 6019013 541376–5 889–338–3 831June–4 201–3 6863612 0378073 569437–4 957–961–4 907March

2006–2007

EX C E S S OF EX P O R T S ( + ) OR IM P O R T S ( - ) ( $ M I L L I O N )

–21 451–13 7232 3528 0762 48515 2881 458–22 764–3 960–21 7472007–08–12 703–15 1051 7827 0713 82115 2241 619–19 874–4 335–15 9182006–07–15 011–12 9772 0985 2693 26613 7491 246–17 448–5 062–16 3742005–06


202 30724 3254 1276 1637 04419 6791 38043 22630 99442 2192007–08180 80124 9084 4096 0145 61517 4001 41939 01827 14034 9692006–07167 50322 7623 8116 4845 48117 3341 65136 31223 20233 2422005–06

IM P O R T S ($ M I L L I O N )

180 85710 6026 47914 2409 52934 9672 83820 46227 03420 4712007–08168 0999 8036 19113 0869 43532 6233 03819 14422 80519 0512006–07152 4929 7855 90911 7538 74731 0822 89718 86418 14016 8692005–06

EX P O R T S ($ M I L L I O N )

Total

United

States

of

AmericaTaiwan

Republic

of Korea

New

ZealandJapan

Hong

Kong

European

Union(c)China

Association

of South

East Asian

Nations(b)Per i od

MERCHANDISE TRADE, By se lec ted count r ies and count ry groups(a)2.12 . . . . . . . . . .



(a) The merchandise trade shares relates to data in table 2.12.(b) The ten member nations of ASEAN are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore,

Thailand and Viet Nam.(c) The twenty seven member states of the EU are Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France,

Germany, Greece, Hungary, Republic of Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal,Slovak Republic, Slovenia, Spain, Sweden, and the United Kingdom. Cyprus, Czech Republic, Estonia, Hungary, Latvia,Lithuania, Malta, Poland, Slovak Republic and Slovenia are included from July 2004. Bulgaria and Romania are included fromAugust 2007.


11.81.92.82.97.70.620.116.720.6March11.72.12.83.28.00.720.517.919.3December11.01.92.73.48.30.621.515.521.6September

2008–200911.61.82.93.59.60.621.714.322.0June13.22.03.03.410.20.620.314.221.9March11.52.03.23.610.30.720.217.020.3December11.92.33.13.48.70.823.315.819.1September

2007–200813.62.63.23.29.60.722.514.318.8June13.52.33.23.09.70.721.714.420.7March

2006–2007

QU A R T E R L Y IM P O R T S (P E R CE N T )

12.02.03.03.59.70.721.415.320.92007–0813.82.43.33.19.60.821.615.019.32006–0713.62.33.93.310.31.021.713.919.82005–06

AN N U A L IM P O R T S (P E R CE N T )



2007–20085.93.87.25.618.71.610.414.611.2June5.73.58.65.319.71.911.513.510.5March

2006–2007

QU A R T E R L Y EX P O R T S (P E R CE N T )

5.93.67.95.319.31.611.314.911.32007–085.83.77.85.619.41.811.413.611.32006–076.43.97.75.720.41.912.411.911.12005–06

AN N U A L EX P O R T S (P E R CE N T )

United

States

of

AmericaTaiwan

Republic

of Korea

New

ZealandJapan

Hong

Kong

European

Union(c)China

Association

of South

East Asian

Nations(b)Per i od

MERCHANDISE TRADE SHARES, By selec ted count r ies and count ry groups(a)2.13 . .



(c) The ten member nations of ASEAN are Brunei,Cambodia, Indonesia, Laos, Malaysia, Myanmar,Philippines, Singapore, Thailand and Viet Nam.

Source: International Trade in Goods and Services, Australia,

(cat. no. 5368.0)

(a) ASEAN = Association of South East Asian Nations.(b) The exports and imports data presented in this table

differ from those in tables 2.1 to 2.5 because they arerecorded by a foreign trade basis rather than a balanceof payments basis and are compiled from a differentedition of the data.

–5 941–457–2 295–2 173228–1 069–91March–6 392–802–1 455–2 512290–1 361–283December–6 789–1 371–1 131–2 408158–1 259–293September

2008–2009–5 897–857–845–2 983135–1 035–161June–5 738–557–1 381–2 153182–1 307–249March–5 524–1 117–1 193–1 84666–1 1216December–4 588–787–783–1 476134–1 193–224September

2007–2008–3 831–471–509–1 46271–1 094–200June–4 907–744–987–1 61735–775–522March

2006–2007

EX C E S S OF EX P O R T S (+ ) OR IM P O R T S ( - ) ( $ M I L L I O N )

–21 747–3 319–4 201–8 459517–4 656–6292007–08–15 918–2 875–2 966–5 489303–3 501–4052006–07–16 374–3 220–1 158–6 33572–4 216–5722005–06

EX C E S S OF EX P O R T S (+ ) OR IM P O R T S ( - ) ( $ M I L L I O N )

42 2195 1338 84613 6857638 0814 5852007–0834 9694 5047 22210 1267536 6034 6472006–0733 2424 1345 38810 5388066 7514 5532005–06


20 4711 8144 6455 2261 2803 4263 9572007–0819 0511 6294 2564 6371 0563 1034 2412006–0716 8699154 2304 2038782 5353 9822005–06


Total ASEANViet NamThailandSingaporePhilippinesMalaysiaIndonesiaPe r i od

MERCHANDISE TRADE, By se lec ted count r ies of the ASEAN(a) (b ) (c )2.14 . . . . . . . . . .



(a) ASEAN = Association of South East Asian Nations.(b) The merchandise trade share relate to data in Table 2.14.(c) The ten member nations of ASEAN are Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar,

Philippines, Singapore, Thailand and Viet Nam.Source: International Trade in Goods and Services, Australia, (cat. no. 5368.0)

7.430.633.01.017.39.6March9.222.632.81.319.811.8December

12.721.230.41.618.511.5September2008–2009

10.819.939.11.616.810.4June10.621.333.61.420.110.3March15.921.628.42.218.59.9December11.621.126.82.121.813.3September

2007–20089.320.129.52.222.314.1June

11.522.228.42.116.815.5March2006–2007


12.221.032.41.819.110.92007–0812.920.729.02.218.913.32006–0712.416.231.72.420.313.72005–06


7.120.028.37.216.420.2March5.522.525.57.918.019.9December4.226.424.66.118.519.6September

2008–20097.125.427.75.416.017.9June

11.618.429.36.417.116.7March10.821.722.66.216.421.6December

5.925.221.37.217.621.9September2007–2008

7.025.622.65.517.321.2June7.324.623.05.318.021.2March

2006–2007


8.922.725.56.316.719.32007–088.622.324.35.516.322.32006–075.425.124.95.215.023.62005–06


Viet NamThailandSingaporePhilippinesMalaysiaIndonesiaPe r i od

MERCHANDISE TRADE SHARES, By selec ted count r ies of the ASEAN(a) (b ) (c )2.15 . .



(a) The exports and imports data presented in this table differ from those in tables 2.1 to 2.5 because they are recorded by a foreign trade basisrather than a balance of payments basis and are compiled from a different edition of the data.

(b) The twenty seven member states of the EU are Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany,Greece, Hungary, Republic of Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Slovak Republic, Slovenia,Spain, Sweden, and the United Kingdom. Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Slovak Republic andSlovenia are included from July 2004. Bulgaria and Romania are included from August 2007.


–2 7543 229–503345–909–2 234–728–188March–5 845–215–530683–906–2 090–645–96December–6 426–197–414391–954–2 538–98416September

2008–2009–6 348–662–481424–867–2 406–890–101June–5 318450–545314–921–2 245–741–236March–4 6931 184–547290–782–2 290–1 093–73December–6 405–1 161–441281–869–2 184–765–11September

2007–2008–5 889–959–508397–783–1 928–744–45June–4 957–153–498355–838–1 913–654–42March

2006–2007


–22 764–189–2 0151 309–3 439–9 126–3 488–4212007–08–19 874–1 261–1 9361 482–3 127–7 830–2 546–3062006–07–17 4481 824–1 9731 265–2 627–7 259–4 163–4412005–06


43 2268 4982 4611 5554 89510 5764 9891 7502007–0839 0187 4072 2871 4944 8699 2743 9101 6252006–0736 3125 9682 3951 3144 1868 6775 3471 4832005–06


20 4628 3094452 8641 4561 4501 5001 3292007–0819 1446 1463512 9761 7421 4441 3641 3192006–0718 8647 7924222 5791 5591 4181 1841 0422005–06


TotalEuropean

UnionUnited

KingdomSwedenNetherlandsItalyGermanyFrance

Belgium–

LuxembourgPe r i od

MERCHANDISE TRADE, By se lec ted member count r ies of the European

Union(a) (b )2.16 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) The merchandise trade share relate to data in table 2.16.(b) The twenty seven member states of the EU are Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland,

France, Germany, Greece, Hungary, Republic of Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands,Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, and the United Kingdom. Cyprus, Czech Republic, Estonia,Hungary, Latvia, Lithuania, Malta, Poland, Slovak Republic and Slovenia are included from July 2004. Bulgaria andRomania are included from August 2007.


15.45.84.112.326.211.14.1March24.34.93.911.322.78.53.8December20.35.53.811.324.011.94.0September

2008–200920.65.63.810.524.311.64.0June18.06.13.912.024.910.24.6March14.56.23.711.925.813.34.1December24.95.03.011.123.011.23.5September

2007–200821.15.83.611.122.111.24.0June17.55.84.013.123.99.84.4March

2006–2007


19.75.73.611.324.511.54.02007–0819.05.93.812.523.810.04.22006–0716.46.63.611.523.914.74.12005–06




2007–200827.61.917.38.27.99.28.3June33.11.316.09.08.06.28.2March

2006–2007


40.62.214.07.17.17.36.52007–0832.11.815.59.17.57.16.92006–0741.32.213.78.37.56.35.52005–06


United

KingdomSwedenNetherlandsItalyGermanyFrance

Belgium-

LuxembourgPe r i od

MERCHANDISE TRADE SHARES, By selec ted member count r ies of the European

Union(a) (b )2.17 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 3 CO N S U M P T I O N AN D IN V E S T M E N T . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

64New motor vehicle sales, By type of vehicle3.8 . . . . . . . . . . . . . . . . . . . . . . .62Book value of inventories owned by private business3.7 . . . . . . . . . . . . . . . . .61

Expected and actual private new capital expenditure, By selected industry

and type of asset

3.6. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

59

Actual private new capital expenditure, By type of asset and selected

industry

3.5. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

58

Private gross fixed capital formation and inventories, Chain volume

measures

3.4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

57Retail turnover, By industry group3.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .56Retail turnover, By industry group�Chain volume measures3.2 . . . . . . . . . . . .54Household final consumption expenditure, Chain volume measures3.1 . . . . . . .

TA B L E S


Reference yerar 2006-07

Source: Retail Trade Quarterly Indicators, Australia (cat. no. 8502.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

% change

–4

–2

0

2

4TrendSeasonally Adjusted

RETAIL TRADE, (f rom Tab le 3.2) Cha in Volume Measures —Percentagechange from prev ious quar te r


Operation of vehicles

Transport services

Communications

Recreation and culture

Education services

Hotels, cafes and restaurants

Insurance and other financial services

Other goods and services

–2 –1 0 1 2%

Dec Qtr 2008Mar Qtr 2009

HOUSEHOLD FINAL CONSUMPTION EXPENDITURE, (f rom Tab le 3.1)Seasona l l y adjus ted —Chain vo lume measures : Quar te r l y % change


Food

Cigarettes and tobacco

Alcoholic beverages

Clothing and footwear

Rent and other dwelling services

Electricity, gas and other fuel

Furnishings and household equipment

Health

Purchase of vehicles

–2 –1 0 1 2%

Dec Qtr 2008Mar Qtr 2009

HOUSEHOLD FINAL CONSUMPTION EXPENDITURE, (f rom Tab le 3.1)Seasona l l y adjus ted —Chain vo lume measures : Quar te r l y % change

GR A P H S


CH A P T E R 3 • C O N S U M P T I O N A N D I N V E S T M E N T

Source: Sales of New Motor Vehicles, (Electronic Publication), (cat. no. 9314.0.55.001)

Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

'000

40

50

60

70

80

90


NEW MOTOR VEHICLE SALES, (f rom Tab le 3.8) Tota l veh ic les —Longterm



Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

5

10

15

20

25DwellingsOther buildings and structuresMachinery and equipment

PRIVATE GROSS FIXED CAPITAL FORMATION, (f rom Tab le 3.4)Seasona l l y adjus ted —Chain vo lume measures

Source: Retail Trade Trend, Australia, (cat. no. 8501.0)

May1997

May2000

May2003

May2006

May2009

% change

–15

–10

–5

0

5


RETAIL TURNOVER, (f rom Tab le 3.3) Percen tage change fromprev ious month




Source: Australian National Accounts: National Income,

Expenditure and Product, (cat. no. 5206.0)(a) Reference year 2006–07.

–1.4–0.3–0.81.10.61.80.70.41.1March–1.21.10.21.60.6–0.6–2.0–0.20.6December–7.92.20.10.10.61.3–0.7–1.00.3September

2008–2009–0.70.8–0.50.30.6–0.70.9–0.2–0.5June–1.00.61.21.70.61.6–0.50.90.3March4.02.71.92.00.6–0.3–0.8–0.23.4December

2007–2008


5 1658 6458 4393 30526 9195 7263 0132 59517 139March5 2408 6718 5113 27026 7585 6222 9912 58616 958December5 3068 5808 4963 21926 5995 6533 0532 59216 859September

2008–20095 7608 3988 4863 21626 4405 5803 0742 61816 801June5 8038 3328 5313 20626 2825 6173 0462 62416 889March5 8598 2818 4253 15126 1265 5293 0612 60016 834December5 6328 0658 2723 09025 9705 5473 0862 60616 283September

2007–20085 6298 0068 0813 04325 8135 4173 0512 57516 337June5 5237 9558 0003 00725 6675 3093 0382 62016 416March

2006–2007


6.95.76.55.42.65.22.30.92.92007–085.35.77.73.43.36.13.9–3.83.02006–072.12.42.22.53.63.93.3–3.21.52005–06


23 05433 07633 71312 663104 86722 27312 26810 44866 8072007–0821 56031 28431 65112 019102 20521 17111 98710 35864 9332006–0720 47829 58929 39211 62598 97719 96311 53310 76863 0502005–06


Purchase

of

vehiclesHealth

Furnishings

and

household

equipment

Electricity,

gas and

other fuel

Rent and

other

dwelling

services

Clothing

and

footwear

Alcoholic

beverages

Cigarettes

and

tobaccoFoodPe r i od

HOUSEHOLD FINAL CONSUMPTION EXPENDITURE, Cha in volume measures (a )3.1 . . . .



Source: Australian National Accounts: National Income, Expenditure

and Product, (cat. no. 5206.0)(a) Reference year 2006–07.

0.60.30.51.50.31.11.3–0.10.3March0.30.10.4–0.70.51.10.3–1.60.5December0.10.81.0–0.50.8–0.70.72.0–0.2September

2008–2009–0.10.30.7–0.50.3–0.40.2–1.7–2.1June0.60.10.7–0.31.20.82.60.00.7March1.20.40.61.00.60.43.03.2–0.3December

2007–2008




2007–2008148 31210 00610 55411 2515 07117 5534 0363 6848 127June147 3899 97110 50411 2775 04417 3344 0103 5768 221March

2006–2007


3.73.12.42.43.16.14.75.7–0.12007–084.07.14.23.53.24.50.66.31.52006–072.61.84.43.32.85.06.10.7–5.12005–06


606 54840 49342 76245 68820 68373 25416 72515 14732 6262007–08584 90939 27241 77144 63920 06869 04215 97114 33132 6452006–07562 22936 67940 07543 13019 45466 05715 88113 47732 1732005–06


Total

Other

goods

and

services

Insurance

and other

financial

services

Hotels,

cafes and

restaurants

Education

services

Recreation

and culture

Commun-

ications

Transport

services

Operation

of

vehiclesPe r i od

HOUSEHOLD FINAL CONSUMPTION EXPENDITURE, Cha in volume measures (a )

co n t i n u e d3.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Retail Trade Quarterly Indicators, Australia,

(cat. no. 8502.0)(a) Reference year 2006-07.

1.03.01.2–2.13.70.71.3March0.60.21.70.8–1.0–1.30.9December0.5–1.5–0.8–0.42.92.61.1September

2008–2009–0.5–1.7–0.50.6–2.0–2.70.0June–0.2–2.32.30.10.50.7–1.0March1.0–1.74.40.80.2–1.01.3December

2007–2008


53 959.16 264.28 337.89 223.44 007.34 472.421 654.1March53 414.56 083.88 236.09 417.23 862.94 441.321 373.4December53 099.76 072.48 102.09 346.43 900.14 499.221 179.7September

2008–200952 845.66 165.08 164.29 387.73 791.14 384.620 953.0June53 130.06 269.08 207.99 331.43 868.04 506.620 947.1March53 255.56 417.88 022.29 324.93 848.34 475.421 167.1December52 711.56 529.37 687.49 248.53 841.34 519.420 885.6September

2007–200851 578.86 493.47 408.48 990.93 712.14 345.320 613.8June51 371.96 403.37 487.58 938.73 660.24 375.220 540.9March

2006–2007


4.50.47.67.05.53.73.52007–084.65.43.29.46.73.12.82006–072.11.7–3.46.35.90.12.52005–06


211 942.625 380.932 081.937 292.415 348.717 886.183 952.72007–08202 891.925 279.529 806.134 855.014 549.417 254.481 147.52006–07193 934.123 989.328 870.431 853.613 635.816 734.178 925.42005–06


Total

Cafes,

restaurants

and

takeaway

food services

Other

retailing

Household

good

retailing

Clothing

and soft

good

retailing

Department

stores

Food

retailingPe r i od

RETA IL TRADE, By indus t r y group —Chain volume measures (a )3.2 . . . . . . . . . . . . . . . . .



(b) From July 2008, Food retailing excludes Takeawayfood retailing for all preiods.

(c) From July 2008, Other retailing includes Recreationalgoods retailing for all preiods.

Source: Retail Trade Trends, Australia, (cat. no. 8501.0)

na not available(a) The trend series has been suspended as at

November 2008. Refer to the December 2008 issueof Retail Trade, Australia, (cat. no. 8501.0) fordetails.

nananananananaMaynananananananaAprilnananananananaMarchnananananananaFebruarynananananananaJanuarynananananananaDecember

0.10.10.1–0.7–0.3–0.30.7November0.20.10.2–0.8–0.3–0.40.7October0.20.10.1–0.7–0.2–0.20.7September

2008–2009


nananananananaMaynananananananaAprilnananananananaMarchnananananananaFebruarynananananananaJanuarynananananananaDecember

18 423.12 197.52 785.52 975.51 271.71 501.87 691.5November18 398.32 194.32 782.42 997.81 275.21 507.17 641.8October18 367.52 191.82 776.93 020.61 279.61 512.67 586.1September18 333.12 189.62 773.13 042.71 282.21 515.57 530.0August18 292.42 187.52 771.13 061.61 283.11 515.77 473.3July

2008–200918 245.92 186.12 772.43 071.51 282.81 514.27 419.0June18 200.42 185.82 775.43 072.71 281.51 513.17 371.9May18 165.72 188.52 776.63 070.21 280.51 513.97 336.0April18 145.12 193.42 773.43 068.11 281.51 517.07 310.6March

2007–2008

TR E N D ($ M I L L I O N )

6.94.99.25.95.85.07.82007–20087.19.24.58.56.33.67.72006–20073.85.4–2.24.74.40.06.32005–2006


216 952.326 526.232 552.336 911.215 393.518 115.987 453.42007–2008202 891.425 279.429 806.034 854.614 549.417 254.381 147.52006–2007189 493.023 139.828 535.432 126.313 687.016 650.575 353.92005–2006


Total

Cafes,

restaurants

and

takeaway

food services

Other

retailing(c)

Household

good

retailing

Clothing

and soft

good

retailing

Department

stores

Food

retailing(b)Per i od

RETA IL TURNOVER (a) , By indus t r y group3.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




Product, (cat. no. 5206.0)na not available(a) Reference year 2006–07.

nana–5.37.03.90.0–9.6–4.3–5.6Marchnana–0.2–2.72.80.0–0.41.7–2.6Decembernana1.1–12.70.016.10.35.21.1September

2008–2009nana3.0–5.53.70.08.20.21.5Junenana3.4–5.15.20.02.77.91.5Marchnana1.3–2.12.60.05.6–2.40.6December

2007–2008


–1 146–2 20965 8253 7964 67752721 76819 63115 427March–1 373–2 03569 4953 5474 50052724 07320 50616 343December

–6791 05569 6563 6454 37552724 17620 15616 777September2008–2009

–27880568 8654 1774 37645424 09519 16616 597June–671 92166 8624 4234 22145422 27819 12816 358March4611 33564 6594 6594 01245421 68217 73216 121December

–2091 23763 8444 7583 91245420 53818 16116 021September2007–2008

–16278862 7354 9073 78046720 33217 40616 012June–1192 34261 6304 4773 48946719 25517 73316 301March

2006–2007


nana10.60.219.8–2.717.312.81.62007–08nana4.9–0.918.1–29.82.811.51.92006–07nana8.72.36.91.614.620.9–4.32005–06


–1654 833264 23018 01716 5201 81588 59274 18765 0972007–08–1602 923238 94817 97313 7881 86775 51865 75564 0462006–078751 429227 86718 13411 6712 65873 46058 99362 8602005–06


Farm and

public

authority

Private

non–farmTotal

Ownership

transfer

costs

Intangible

fixed

assetsLivestock

Machinery

and

equipment

Non–dwelling

constructionDwellings

CHANGES ININVENTORIESPRIVATE GROSS FIXED CAPITAL FORMATION

Per i od

PRIVATE GROSS FIXED CAPITAL FORMAT ION AND INVENTORIES, Cha in volume

measures (a )3.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Private New Capital Expenditure and Expected Expenditure, Australia,

(cat. no. 5625.0)(a) Excludes public sector and all businesses classified to agriculture,

forestry, fishing, hunting and community services.(b) Reference year 2006–07.

–8.9–13.1–12.2–1.2–10.8–4.7–6.9–9.8–10.2–1.5–7.3–6.6March7.36.96.18.3–1.115.99.39.69.19.03.715.2December1.7–1.4–0.67.9–0.98.34.91.62.011.3–0.210.8September

2008–20097.58.8–1.79.88.71.35.64.8–2.110.67.93.1June1.9–0.7–0.17.73.82.43.81.51.09.33.14.5March4.64.65.04.42.26.23.72.94.25.00.77.4December

2007–2008

PE R C E N T A G E CH A N G E FR O M PR E V I O U S QU A R T E R — SE A S O N A L L Y AD J U S T E D



2007–200821 06211 8673 1266 05011 2699 77521 08611 8853 1036 09811 1199 968June20 16711 2033 2205 73511 1649 02320 17811 2103 2285 74011 0989 080March

2006–2007


10.810.2–0.518.710.910.611.58.8–0.223.76.817.52007–085.49.6–14.813.31.511.26.89.2–14.018.9–1.118.62006–07

25.613.320.673.217.541.626.211.521.781.513.850.92005–06


85 92446 47813 19526 25147 79438 12986 47845 88913 23727 35346 00040 4782007–0877 55242 16913 26422 11843 09034 46177 55242 16913 26422 11843 09034 4612006–0773 57438 46315 56019 51842 44830 97772 64138 60515 42818 60943 58429 0572005–06


Total

Industry

– Other

selected

indus-

tries

Industry –

Manufac-

turing

Industry

–

Mining

Asset–

Equip-

ment,

plant and

mach-

inery

Asset–

Buildings

and

struc-

turesTotal

Industry

– Other

selected

indus-

tries

Industry –

Manufac-

turing

Industry

–

Mining

Asset–

Equip-

ment,

plant and

mach-

inery

Asset–

Buil -

dings

and

struc-

tures

CHAIN VOLUME MEASURES(b)CURRENT PRICES

Per i od

ACTUAL PRIVATE NEW CAPITAL EXPENDITURE, By type of asset and selec ted

indust r y (a )3.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Private New Capital Expenditure and Expected Expenditure, Australia,

(cat. no. 5625.0)(a) Excludes public sector and all businesses classified to agriculture,

forestry, fishing, hunting and community services.(b) Reference year 2006–07.

–0.7–3.2–2.43.7–5.34.41.3–0.2–0.23.9–1.83.9March1.3–0.7–1.25.6–3.17.13.41.81.16.6–0.17.0December3.72.3–0.28.00.77.75.33.51.79.82.48.8September

2008–20095.74.90.49.75.06.06.24.41.211.64.88.3June3.52.30.87.04.81.63.51.51.08.43.53.6March1.3–0.32.73.72.30.11.7–0.32.94.71.11.8December

2007–2008

PE R C E N T A G E CH A N G E FR O M PR E V I O U S QU A R T E R — TR E N D



2007–200820 48811 3893 1665 92211 2089 28720 51011 3663 1625 98211 0529 473June19 87310 9913 2255 65310 9688 90920 01911 1293 2295 66110 9339 071March

2006–2007


Total

Industry

– Other

selected

indus-

tries

Industry –

Manufac-

turing

Industry

–

Mining

Asset–

Equip-

ment,

plant and

mach-

inery

Asset–

Buildings

and

struc-

turesTotal

Industry

– Other

selected

indus-

tries

Industry –

Manufac-

turing

Industry

–

Mining

Asset–

Equip-

ment,

plant and

mach-

inery

Asset–

Buil -

dings

and

struc-

tures

CHAIN VOLUME MEASURES(b)CURRENT PRICES

Per i od

ACTUAL PRIVATE NEW CAPITAL EXPENDITURE, By type of asset and selec ted

indust r y (a ) co n t i n u e d3.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



nya not yet available(a) Excludes public sector and all businesses classified to agriculture, forestry, fishing, hunting and community services.Source: Private New Capital Expenditure and Expected Expenditure, Australia, (cat. no. 5625.0)

nyanyanyanyanya34 96635 7962009–10nya48 39145 72847 10445 97440 31037 4882008–09

46 00045 23742 65340 63437 48932 86629 7202007–08

EQ U I P M E N T , P L A N T AN D MA C H I N E R Y ($ M I L L I O N )


40 47842 43443 19743 57041 57438 11233 8482007–08

NE W CA P I T A L EX P E N D I T U R E BY AS S E T – B U I L D I N G S AN D ST R U C T U R E S ($ M I L L I O N )


45 88945 03942 72742 45738 99533 79127 5342007–08

OT H E R SE L E C T E D IN D U S T R I E S ($ M I L L I O N )


13 23713 45513 12312 51711 61810 2189 3432007–08

MA N U F A C T U R I N G ($ M I L L I O N )


27 35329 17730 00129 23028 45026 97026 6912007–08

NE W CA P I T A L EX P E N D I T U R E BY IN D U S T R Y – M I N I N G ($ M I L L I O N )


86 47887 67185 85184 20579 06270 97863 5682007–08

NE W CA P I T A L EX P E N D I T U R E – T O T A L ($ M I L L I O N )

12 months

actual

expenditure

Expected

expenditure

reported 9–10

months into

period (includes

9 months actual

expenditure)

Expected

expenditure

reported 6–7

months into

period (includes

6 months actual

expenditure)

Expected

expenditure

reported 3–4

months into

period (includes

3 months actual

expenditure)

Expected

expenditure

reported at

beginning

of period

Expected

expenditure

reported

2–3 months

before

period

began

Expected

expenditure

reported

5–6 months

before

period

began

ESTIMATE 7ESTIMATE 6ESTIMATE 5ESTIMATE 4ESTIMATE 3ESTIMATE 2ESTIMATE 1

Per i od

EXPECTED AND ACTUAL PRIVATE NEW CAPITAL EXPENDITURE, By selec ted

indust r y and type of asset (a )3.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(b) Reference year 2006–07.Source: Business Indicators, Australia, (cat. no. 5676.0)

(a) Excludes public sector and all businesses classified to agriculture,forestry, fishing, hunting, community services and construction. Data isas at the end of period.

–1.2–6.4–2.7–0.7–1.75.3–1.4–3.4–1.6–1.3–1.81.6March–1.5–0.2–2.31.9–4.7–0.31.22.4–2.63.30.29.3December0.91.10.94.1–0.9–8.03.53.31.24.04.25.3September

2008–20090.7–2.51.93.9–1.6–6.82.9–3.82.74.22.31.8June1.7–0.42.51.52.5–4.13.11.12.92.74.21.1March1.0–0.91.81.50.8–3.12.01.81.82.12.50.2December

2007–2008

PE R C E N T A G E CH A N G E FR O M PR E V I O U S QU A R T E R — SE A S O N A L L Y AD J U S T E D



2007–2008116 3301 10626 90338 97241 4227 926115 0021 12727 27037 02341 7807 803June116 0861 12527 27539 03241 2007 409113 7781 13727 32436 61341 2577 448March

2006–2007


4.2–3.77.17.31.8–7.99.70.49.010.610.07.22007–080.7–7.20.0–1.40.718.74.1–3.52.74.33.017.12006–071.23.74.15.5–4.1–4.06.38.16.46.13.923.42005–06


120 0711 05528 08941 48842 2307 208124 8701 12128 98440 40146 0208 3442007–08115 2861 09626 23638 65541 4687 830113 8541 11726 59436 53341 8307 7802006–07114 4701 18126 22439 18541 1936 594109 3681 15725 90335 04140 6236 6432005–06


Total

Other

selected

indus-

tries

Retail

trade

Whole-

sale

trade

Manufac-

turingMiningTotal

Other

selected

indus-

tries

Retail

trade

Whole-

sale

trade

Manufac-

turingMining

CHAIN VOLUME MEASURES(b)CURRENT PRICE

Per i od

BOOK VALUE OF INVENTORIES OWNED BY PRIVATE BUSINESS (a)3.7 . . . . . . . . . . . . . . .



(b) Reference year 2006–07.Source: Business Indicators, Australia, (cat. no. 5676.0)

(a) Excludes public sector and all businesses classified to agriculture,forestry, fishing, hunting, community services and construction. Data isas at the end of period.

–0.9–2.2–1.91.1–2.70.60.50.3–1.61.40.05.3March–0.7–1.6–1.32.0–2.8–1.71.20.7–1.02.30.85.7December0.0–0.80.03.1–2.2–4.82.40.60.33.52.25.5September

2008–20091.0–0.51.93.4–0.4–7.13.40.02.24.13.62.9June1.4–1.02.42.41.0–4.92.90.02.83.03.30.7March1.1–0.81.61.31.1–0.52.10.92.02.02.41.3December

2007–2008

PE R C E N T A G E CH A N G E FR O M PR E V I O U S QU A R T E R — TR E N D



2007–2008116 5221 11027 04539 05741 3507 959114 9451 13427 38636 99841 6277 800June115 5281 11027 03138 76841 1117 474113 5671 12127 18936 57941 2357 443March

2006–2007


Total

Other

selected

indus-

tries

Retail

trade

Whole-

sale

trade

Manufac-

turingMiningTotal

Other

selected

indus-

tries

Retail

trade

Whole-

sale

trade

Manufac-

turingMining

CHAIN VOLUME MEASURES(b)CURRENT PRICE

Per i od

BOOK VALUE OF INVENTORIES OWNED BY PRIVATE BUSINESS (a) co n t i n u e d3.7 . . . . . . .



(b) Includes cars, station wagons and people movers but excludesall–terrain vehicles.

(c) Includes all–terrain vehicles but excludes motor cycles, plant andequipment and unpowered vehicles.

Source: Sales of New Motor Vehicle, (Electronic Publication),

(cat. no. 9314.0.55.001)

na not availablenp not available for publication but included in totals where applicable,

unless otherwise indicated(a) Original sales data are provided by the Federal Chamber of Automotive

Industries and sourced from VFACTS.

npnpnpnp5.718.33.21.636.350.631.532.2Junenpnpnpnp5.412.16.62.617.924.418.915.1May0.2–0.12.1–0.42.5–3.04.73.9–15.4–17.3–12.8–15.6April

–0.4–1.11.7–0.9–3.53.1–2.6–6.07.721.89.72.4March–1.1–2.30.8–1.3–3.6–4.4–0.8–4.14.714.12.02.8February–1.7–3.2–0.1–1.6–1.3–6.6–0.40.5–12.3–24.7–6.8–9.6January–2.0–3.3–1.1–1.81.71.34.71.06.83.313.26.2December–1.9–2.5–1.7–1.8–5.6–11.3–5.7–3.3–9.5–15.5–11.3–6.4November–1.9–1.5–2.3–1.9–0.36.6–2.8–2.2–2.35.01.1–5.9October

2008–2009


npnpnpnp80 33020 03415 88444 411102 84726 55120 45955 837Junenpnpnpnp76 02816 94015 39543 69375 44117 63415 56242 245May

73 19015 50614 68642 99872 14915 11114 44442 59563 96514 17613 09236 697April73 07415 52814 38643 16070 36515 57113 79441 00075 65017 14415 02243 484March73 38815 69914 15243 53872 90115 11014 16543 62670 24114 07913 69942 463February74 21916 06814 03644 11575 59915 81114 28245 50667 07912 33513 43541 309January75 47616 59614 04944 83176 56916 93514 33445 30076 51016 39214 42245 696December77 00917 16914 20145 63975 26116 71313 68944 85971 61715 86212 73643 019November78 53817 61614 44346 47979 72518 83814 51746 37179 10518 77014 35745 978October80 07117 89314 77847 40079 99617 66414 93847 39480 93817 87314 20048 865September81 81018 09315 23048 48780 84917 82815 12347 89977 32416 97714 23346 114August83 75218 29215 78449 67583 69218 25815 44549 99083 97618 06614 84251 068July

2008–200985 71818 56716 39750 75486 53418 22216 96551 347106 54123 62921 38861 524June87 48818 87617 00151 61186 58818 43516 51851 63688 64019 94517 27951 416May88 98219 17217 52052 29089 77520 04817 61052 11884 06119 76816 65447 639April

2007–2008

MO N T H L Y

nananananananana–13.4–8.7–16.5–14.12008–09nananananananana6.413.117.01.22007–08nananananananana3.30.44.14.12006–07


nananananananana924 693205 859176 059542 7752008–09nananananananana1 068 301225 545210 943631 8132007–08nananananananana1 003 882199 404180 354624 1242006–07

AN N U A L

TotalOther(c)Sports

utility

Passen-

ger(b)TotalOther(c)Sports

utility

Passen-

ger(b)TotalOther(c)Sports

utility

Passen-

ger(b)

TREND — VEHICLESSEASONALLY ADJUSTED — VEHICLESORIGINAL — VEHICLES

Per i od

NEW MOTOR VEHICLE SALES (a) , By type of veh ic le3.8 . . . . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 4 PR O D U C T I O N . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

78Tourist accommodation4.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .77

Engineering construction activity, Value of work done�Chain volumemeasures

4.11. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

76Construction activity, Value of work done�Chain volume measures4.10 . . . . . .75Value of building work done, Chain volume measures4.9 . . . . . . . . . . . . . . .74Building commencements, Number and value�Chain volume measures4.8 . . . .73Building approvals, Number and value4.7 . . . . . . . . . . . . . . . . . . . . . . . . .72Production of selected minerals4.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .71Private mineral and petroleum exploration, Actual and expected4.5 . . . . . . . . .70Manufacturers’ sales and inventories4.4 . . . . . . . . . . . . . . . . . . . . . . . . . .69Manufacturing production, Selected indicators4.3 . . . . . . . . . . . . . . . . . . . .68Livestock products, Selected indicators4.2 . . . . . . . . . . . . . . . . . . . . . . . .67Indexes of industrial production, By industry4.1 . . . . . . . . . . . . . . . . . . . . .

TA B L E S



Source: Manufacturing and Construction Section.

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

10

15

20

25

30

35

40Total constructionTotal building

CONSTRUCT ION ACTIV ITY , (f rom Tab le 4.10) Chain vo lumemeasure —Trend


Source: Business Indicators, Australia, (cat. no. 5676.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$billion

34

36

38

40

42

44

46

MANUFACTURERS ' INVENTORIES, (f rom Tab le 4.4) Seasona l l yadjus ted —Chain vo lume measure


Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

index

70

80

90

100

110

Total all industrialMining (excl. services to mining)ManufacturingElectricity

INDEXES OF INDUSTRIAL PRODUCTION, (f rom Tab le 4.1) Seasona l l yadjus ted —2006–07 = 100.0

GR A P H S


CH A P T E R 4 • P R O D U C T I O N

(a) Total industrial production describes the sum of the three groups: Mining excluding services to mining, manufacturing and electricity, gas and water.Source: Australian National Accounts: National Income, Expenditure and Product, (cat. no. 5206.0)

–3.1–4.8–5.2–8.3–4.1–1.0–6.3–6.22.2–2.11.7–3.3–1.1March–8.4–5.0–6.30.5–6.7–4.3–7.3–2.1–1.0–1.7–1.4–4.62.0December–2.2–0.12.7–2.4–3.7–7.62.8–8.4–0.7–0.65.1–1.2–1.1September

2008–20098.33.1–5.84.3–2.34.2–2.90.70.20.9–1.10.02.6June0.03.47.41.92.30.06.13.3–1.01.70.82.80.7March0.24.05.90.70.45.7–4.1–6.9–2.41.5–0.91.61.9December

2007–2008


102.697.3101.898.887.894.085.380.599.0100.0104.695.7104.1March105.9102.2107.3107.891.595.091.185.896.9102.1102.999.0105.3December115.7107.6114.5107.298.199.398.287.697.9103.9104.3103.8103.3September

2008–2009118.3107.6111.5109.8101.9107.495.595.798.6104.599.3105.1104.5June109.2104.4118.4105.3104.3103.198.495.198.4103.7100.4105.1101.9March109.2100.9110.2103.3102.0103.292.892.099.4101.999.6102.3101.2December109.097.0104.1102.5101.597.696.898.9101.9100.4100.5100.799.4September

2007–200898.6100.0104.699.7103.1102.096.794.198.4100.698.1100.8100.9June

106.0102.4100.6101.1101.9102.499.596.799.1100.799.0101.1100.8March2006–2007

SE A S O N A L L Y AD J U S T E D (2 0 0 6 – 0 7 = 10 0 . 0 )

11.42.511.15.22.42.8–4.1–4.6–0.42.6–0.13.31.72007–08–0.1–0.210.52.1–1.32.4–2.4–1.60.93.5–1.21.97.52006–07–9.74.5–1.011.5–4.1–1.9–3.9–6.8–0.70.31.3–0.51.22005–06


111.4102.5111.1105.2102.4102.895.995.499.6102.699.9103.3101.72007–08100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.02006–07100.1100.290.597.9101.397.7102.5101.699.196.6101.298.193.02005–06

AN N U A L (2 0 0 6 – 0 7 = 10 0 . 0 )

Other

manu-

factur-

ing

Mach-

inery

and

equip-

ment

Metal

prod-

ucts

Non–

metallic

mineral

products

Petro-

leum, coal,

chemical

and ass-

ociated

products

Printing,

publish-

ing and

recorded

media

Wood

and

paper

prod-

ucts

Textile,

cloth-

ing,

footwear

and

leather

Food,

beve-

rages

and

toba-

cco

SELECTED MANUFACTURING INDUSTRIES

Totalindus-

trial(a)

Elect-

ricity,

gas

and

water

Total

manu-

fact-

uring

Mining

(excl-

uding

servi-

ces to

mining)Pe r i od

INDEXES OF INDUSTRIAL PRODUCT ION, By indus t r y4.1 . . . . . . . . . . . . . . . . . . . . . . . . . . .



(c) Excludes the Northern Territory, the Australian CapitalTerritory and Tasmania (after 1986–1987).

Source: Livestock Products, Australia, (cat. no. 7215.0)

nya not yet available(a) Brokers' and dealers' receivals of taxable wool.(b) Seasonally adjusted data not available. Original data

provided.

–12.3–14.3–25.0–30.8nya2.3–0.81.2March–2.015.8–0.112.3–0.80.40.1–2.9December–3.2–11.127.423.9–1.53.0–3.1–5.5September

2008–20091.325.7–2.9–10.74.72.84.2–0.7June

16.8–22.835.3–22.41.4–4.3–4.6–4.4March8.415.7–37.240.5–3.21.61.33.3December

2007–2008


3 054320 560170854nya212 653784 07992 580March3 482374 1862271 2342 339207 944790 22591 510December3 553323 1862271 0992 357207 123789 47194 281September

2008–20093 672363 7301788872 394201 136814 36399 819June3 625289 4471839932 285195 601781 341100 514March3 104375 1361361 2792 253204 433818 944105 106December2 864324 1942169102 328201 220808 690101 768September

2007–20082 766331 7441955612 306203 054786 671113 334June3 264326 6481221 0212 301205 981842 754111 983March

2006–2007

SE A S O N A L L Y AD J U S T E D UN L E S S FO O T N O T E D

–20.1–3.311.8–1.7–3.9–1.1–2.0–9.52007–08–21.58.416.2–2.6–5.05.06.5–4.72006–07

–9.2–2.9–4.431.4–0.43.0–1.61.52005–06


13 2651 352 5077134 0699 213802 3843 226 129407 8812007–0816 6011 398 9896384 1389 582811 5913 291 728450 5292006–0721 1491 290 2855494 24810 089772 6133 091 562472 5272005–06

AN N U A L

tonnestonnes'000'000M litrestonnestonnestonnes

Bacon,

ham and

canned

meat

Fresh

or

frozen

meat

Live

cattle

Live

sheep

Chicken

meat(c)Red

meat

EXPORTS OF(b)

Milk

intake by

factories

MEAT —CARCASS WEIGHT

Wool

receivals(a)

Per i od

LIVESTOCK PRODUCTS, Selec ted ind ica to rs4.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Manufacturing Production, Australia, (cat. no. 8301.0.55.001)

–14.9–3.8–3.8–19.8–17.3–13.6March18.9–18.6–6.6–7.3–9.14.9December

5.38.312.4–1.52.1–1.1September2008–2009

–7.317.8–4.220.417.114.8June–11.0–5.04.8–14.6–14.8–14.5March19.8–16.5–5.7–0.71.0–2.4December

2007–2008


41519457 2335 1461 963332March48820259 5046 4192 373385December41024863 6926 9242 612367September

2008–200939022956 6607 0322 558371June42019459 1185 8412 183323March47320556 4116 8362 562378December39424559 8066 8842 536387September

2007–200838323455 0366 1192 362393June42718756 2445 7502 140359March

2006–2007

OR I G I N A L

–1.73.12.76.74.9–7.12007–08–0.56.20.34.35.3–2.22006–071.70.52.94.4–0.2–5.82005–06


1 677872231 99526 5939 8391 4592007–081 706846225 93024 9319 3811 5702006–071 714797225 30323 9138 9101 6052005–06

AN N U A L

Beer

(megalitres)

Gas

(petajoules)

Electricity

(million kWh)

Ready mixed

concrete

('000 cubic metres)

Portland

cement

('000 tonnes)

Clay

bricks

(million)Pe r i od

MANUFACTURING PRODUCT ION, Selec ted ind ica to rs4.3 . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) As at the end of period.(b) Current price series. Annual inventories are as at the end of period, annual sales are an

average of the quarters in the period.Source: Business Indicators, Australia, (cat. no. 5676.0)

0.4939 18847 08789 38395 485March0.4739 86347 96591 989102 357December0.4541 83347 85694 344105 583September

2008–20090.4442 19445 92595 866104 406June0.4542 90244 89795 955100 333March0.4541 86843 09193 69695 669December0.4641 55242 05691 52492 422September

2007–20080.4541 42241 78091 18892 189June0.4541 20041 25792 41391 546March

2006–2007


0.4442 23046 020377 042392 5202007–080.4541 46841 830363 150363 1502006–070.4641 19340 623355 431340 0292005–06


Chain

Volume

Measures

(reference

year

2006–07)

Current

Price

Chain

Volume

Measures

(reference

year

2006–07)

Current

Price

Inventories

to sales

ratio(b)

INVENTORIES(a)SALES

Per i od

MANUFACTURERS ' SALES AND INVENTORIES4.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Mineral and Petroleum Exploration, Australia, (cat. no. 8412.0)np not available for publication but included in totals where applicable,unless otherwise indicated

1 584.51 336.2248.3918.9npnpnpnpnpnpJun half1 576.01 327.2248.81 625.6npnpnpnpnpnpDec half

2008–20091 763.11 558.7204.41 260.6npnpnpnpnpnpJun half1 524.81 267.3257.51 187.6npnpnpnpnpnpDec half

2007–20081 104.6917.7186.9937.3npnpnpnpnpnpJun half

874.5624.6249.9793.6npnpnpnpnpnpDec half2006–2007

EX P E C T E D EX P E N D I T U R E RE P O R T E D 6 MO N T H S BE F O R E ($ M I L L I O N )

998.6912.486.2403.5134.42.069.227.785.684.5March1 013.4877.6135.8648.5235.23.582.951.9120.4154.4December

781.3660.9120.4687.7218.02.468.556.7133.2209.0September2008–2009

857.2731.2126.0728.1196.55.370.862.7173.9219.0June709.4614.894.6544.0124.36.154.149.2142.4167.8March770.0610.2159.8625.9136.85.359.869.6146.7207.6December698.3584.9113.4563.4139.65.050.150.0129.6189.0September

2007–2008732.1596.5135.6502.5112.64.843.937.5123.0180.5June460.3350.0110.3369.374.13.338.824.3103.6125.3March

2006–2007

QU A R T E R L Y — AC T U A L OR I G I N A L ($ M I L L I O N )

3 034.92 541.1493.82 461.4597.321.7234.8231.6592.7783.42007–082 225.51 727.3498.21 714.6369.626.9193.3114.1455.8555.02006–071 262.0906.1355.81 240.7239.422.6166.456.1399.7356.62005–06

AN N U A L — AC T U A L OR I G I N A L ($ M I L L I O N )

TotalOffshoreOnshoreTotalOtherDiamondsCoalUraniumGold

Copper,

lead,

zinc,

silver,

nickel

and

cobalt

PETROLEUMMINERALS (OTHER THAN PETROLEUM)

Per i od

PRIVATE MINERAL AND PETROLEUM EXPLORAT ION, Actua l and expected4.5 . . . . . . . .



Source: Quarterly Mineral Statistics – Australian Bureau of Agricultural and

Resource Economics, ABARE.(a) Includes naturally occuring LPG.(b) Stabilised (includes condensate).(c) Total metallic content of minerals produced.

2981 43944121541982 2976 8519 65673780.43 17580.916 179March39388749165542272 6597 49110 05488379.45 42890.516 677December37019252157552352 6246 9689 6311 23393.54 83983.115 982September

2008–200939122150154542192 2226 5989 5821 46888.83 12686.816 069June36548349169512052 4855 9238 9891 25479.92 27773.615 905March42353647160632382 9216 48910 0311 36081.76 14580.016 063December39239144158612002 4736 77910 6811 35574.24 98086.415 426September

2007–200837555847157622132 6707 15110 1841 34575.84 52482.015 621June32458647166612202 0816 5589 0591 22967.33 58277.315 288March

2006–2007

QU A R T E R L Y

1 5711 63119064122886310 10125 53739 2835 436324.716 528326.863 4632007–081 3752 0611916422518599 59428 55539 3315 071287.724 632325.262 6842006–071 3801 8051867622489369 97424 31538 0164 088263.825 354307.260 8742005–06

AN N U A L

'000tonnestonnes

'000tonnes

'000tonnestonnes

'000tonnes

oxidetonnes

MegalitresMm3

'000tonnesMt

'000caratsMt

'000tonnes

ZincTinNickelLeadGoldCopper

METALLIC CONTENT(c)

Uran-

ium

Crude

oil(b)Natural

gas(a)

Mang-

anese

ore

Iron

ore

Diam-

onds

Black

coalBauxite

Pe r i od

PRODUCT ION OF SELECTED MINERALS4.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Building Approvals, Australia, (cat. no. 8731.0)

–0.42.00.22.31.31.02.62.4May–0.60.70.40.81.20.92.42.3April–0.70.40.50.41.41.12.42.3March–1.3–0.90.6–1.10.90.71.81.7February–3.3–2.90.1–3.5–0.6–0.70.40.4January–5.9–4.8–1.4–5.5–2.9–2.9–1.4–1.4December

2008–2009

TR E N D — P E R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

–12.3–6.9–13.4–5.6–12.5–13.3–1.9–2.0May–2.02.412.10.74.13.76.66.8April–5.43.00.13.57.56.74.23.5March14.911.4–1.814.38.38.42.32.1February

2.3–4.32.3–5.6–4.1–3.80.80.9January–13.3–9.4–3.2–10.6–4.8–4.8–0.3–0.3December

2008–2009

SE A S O N A L L Y AD J U S T E D — P E R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

4 3512 8384392 3999 9539 5088 0107 831May4 9623 0495072 54111 37410 9638 1627 987April5 0612 9764532 52310 92710 5767 6577 480March5 3472 8904522 43810 1679 9117 3457 229February4 6542 5944612 1339 3879 1427 1817 083January4 5502 7114502 2609 7879 5047 1257 018December5 2492 9934652 52810 2859 9797 1477 042November5 6963 7144613 25311 52511 2517 9397 803October6 3633 3514892 86211 57011 2357 8747 702September6 7283 5784973 08212 15011 9008 1618 082August6 9393 6725583 11512 80912 5068 3338 194July

2008–20096 8893 6775043 17313 01612 5218 6238 567June7 2963 7834883 29612 83312 5088 6908 562May6 6463 8205223 29813 44513 1428 8088 750April6 5353 5475013 04712 78112 5698 8508 760March

2007–2008


21.214.37.815.46.15.73.03.22007–089.99.02.010.30.80.70.80.82006–079.60.05.6–0.9–7.0–6.6–2.8–2.72005–06


82 29245 3576 12839 229162 727158 428109 495107 6732007–0867 90739 6705 68333 987153 415149 828106 317104 3542006–0761 81836 3855 57130 814152 214148 788105 431103 5762005–06

AN N U A L

Total

buildings

Total

residential

buildings

Alterations

and

additions to

residential

buildings

New

residential

buildingsTotal

Total

Private

sector

Houses

Total

Houses

Private

sector

VALUE ($ MILLION)NUMBER OF DWELLING UNITS

Per i od

BUILDING APPROVALS, Number and value4.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Dwelling Unit Commencements, Australia, (cat. no.8750.0) and Building Activity, Australia, (cat. no.8752.0)

(a) Includes conversions and dwelling units created aspart of alterations and additions or the construction ofnon–residential buildings.

(b) Reference year 2006–07.

13 9215 4071 3777 13731 00730 08921 83121 503March16 3287 2951 4187 61532 29631 53222 72922 345December18 2987 9621 5088 82736 43335 52124 19623 935September

2008–200919 8478 7361 5409 57139 84438 91827 18826 872June19 9978 5771 6139 80739 94138 82026 22225 581March19 4808 2821 7139 48540 40239 44427 53427 088December17 8067 3521 5498 90538 52937 51226 26625 694September

2007–200817 3137 0931 5688 65037 25336 30425 82125 268June17 7747 5311 4878 76237 78836 80226 48226 025March

2006–2007


77 12932 9476 41437 768158 536154 538107 269105 2982007–0870 39729 1286 27034 999152 177148 665106 538104 6412006–0765 76625 6616 08933 981152 315148 760104 264102 4322005–06

AN N U A L

Total

buildings

Non–

residential

buildings

Altera-

tions and

additions

to

residential

buildings

New

resident-

ial

buildingsTotal

Private

sector

total

Total

houses

Private

sector

houses

VALUE ($ MILLION)NUMBER OF DWELLING UNITS

Per i od

BUILDING COMMENCEMENTS, Number and value(a) —Chain volume measures (b )4.8 .



Source: Building Activity, Australia, (cat. no. 8752.0)(a) Reference year 2006–07.



2007–200816 82515 1836 7195 2951 5798 5262 4966 0295 929June17 54615 7677 1155 5651 5908 8412 6316 2106 124March

2006–2007


71 12864 14430 03623 9616 47834 61310 27524 33823 8582007–0868 28061 26327 45221 3026 34534 48210 53423 94823 5822006–0765 55259 26225 01219 6886 13934 38411 59422 80822 4332005–06


TotalPrivate

sectorTotal

Private

sectorTotal

Other

residential

buildings

Total

houses

Private

sector

houses

TOTAL BUILDINGSNON–RESIDENTIALBUILDINGS

Alterations/

additions to

residential

building

NEW RESIDENTIAL BUILDING

Per i od

VALUE OF BUILD ING WORK DONE, Cha in volume measures (a )4.9 . . . . . . . . . . . . . . . . . .



(a) Reference year 2006–07.Source: Building Activity, Australia, (cat. no. 8752.0); Engineering Construction Activity, Australia, (cat. no. 8762.0) and unpublished data.



2007–200831 00524 70220 79814 72413 7099 17117 30815 5527 0955 56310 2139 990June30 72724 52720 45714 48613 4729 06217 26015 4896 9875 43610 27310 054March

2006–2007




2007–200830 54624 57620 44814 70613 7429 43216 82515 1836 7195 29510 1069 888June31 38824 80720 96514 61513 8549 05617 54615 7677 1155 56510 43110 203March

2006–2007


128 962100 75487 87060 57157 83436 61071 12864 14430 03623 96141 09240 1832007–08120 92895 17480 10155 21352 64933 91168 28061 26327 45221 30240 82739 9612006–07114 26489 03073 64849 36248 64829 63765 55259 26225 01219 68840 52139 5612005–06


Total

Private

sectorTotal

Private

sectorTotal

Private

sectorTotal

Private

sectorTotal

Private

sectorTotal

Private

sector

TOTALCONSTRUCTION

NON–RESIDENTIALCONSTRUCTION

ENGINEERINGCONSTRUCTIONTOTAL BUILDING

NON–RESIDENTIALBUILDING

RESIDENTIALBUILDING

Per i od

CONSTRUCT ION ACT IV ITY , Value of work done —Chain volume measures (a )4.10 . . . .



Source: Engineering Construction Activity, Australia, (cat. no.8762.0)

(a) Reference year 2006–07.(b) Includes work done by the private sector for the public sector

and work done by the public sector.



2007–20084 32413 7422 38311 3731 9419 432June4 80013 8542 72111 1352 0799 056March

2006–2007




2007–20084 90014 5702 86211 7082 0389 670June4 56613 0002 55910 4352 0078 428March

2006–2007

OR I G I N A L ($ M I L L I O N )

21 22457 83410 78447 05010 44036 6102007–0818 73852 64911 37341 2757 36433 9112006–0719 00548 64812 00436 6387 00129 6372005–06


Total

For the

public sector

For the

private sector

Total for the

public sector(b)TotalBy the

public sector

BY THE PRIVATE SECTOR

Per i od

ENGINEERING CONSTRUCTION ACT IV ITY , Value of work done —Chain volume

measures (a )4.11 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Tourist Accommodation, Australia, (cat. no. 8635.0)(a) Includes establishments with 15 or more rooms.(b) Annual data is at end of June.

510 608505 881912 29565.556.467.853 79387 60284 338March537 440542 303964 35268.358.769.853 11887 71882 483December533 572547 739933 44168.759.068.952 35887 90282 006September

2008–09456 490501 748880 06463.057.067.051 87887 88081 809June512 836517 464969 47368.758.070.751 12287 56281 619March500 613530 408969 61371.159.272.249 26287 68381 372December488 134527 771926 67771.260.172.248 42087 09181 334September

2007–08409 024462 327795 78464.056.366.848 15786 94480 906June447 733482 021902 56770.458.672.947 80586 91081 048March

2006–07

OR I G I N A L

1 958 0722 077 3923 745 82668.558.670.651 87887 88081 8092007–081 738 6271 905 7183 462 21768.758.070.948 15786 94480 9062006–071 547 9731 776 4013 120 46867.256.768.846 38086 84779 8082005–06

AN N U A L

Serviced

apartments

Motels

and guest

housesHotels

Serviced

apartments

Motels

and guest

housesHotels

Serviced

apartments

Motels

and guest

housesHotels

TAKINGS ($'000)OCCUPANCY RATES (%)GUEST ROOMS (NO.)(b)

Per i od

TOURIST ACCOMMODAT ION (a)4.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 5 PR I C E S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

92Service industries producer price indexes5.16 . . . . . . . . . . . . . . . . . . . . . . .92Stage of production producer price indexes5.15 . . . . . . . . . . . . . . . . . . . . . .91Consumer price index, Analytical series5.14 . . . . . . . . . . . . . . . . . . . . . . . .90Import price indexes, By SITC sections5.13 . . . . . . . . . . . . . . . . . . . . . . . . .89Export price indexes, By selected AHECC section5.12 . . . . . . . . . . . . . . . . . .89

Price indexes of articles produced, By manufacturing industries selected

ANZSIC subdivision

5.11. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

88

Price indexes of materials used in manufacturing industries, Selected

industries

5.10. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

88Price indexes of materials used in house building by materials group5.9 . . . . . .87Selected producer price indexes5.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .86Selected housing price and related indexes, Original5.7 . . . . . . . . . . . . . . . .85Indexes of prices received and paid by farmers5.6 . . . . . . . . . . . . . . . . . . . .85RBA index of commodity prices5.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .84

Implicit price deflators, Components of international trade in goods and

services

5.4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

83Chain price indexes, Expenditure on GDP5.3 . . . . . . . . . . . . . . . . . . . . . . .82Consumer price index, Special series and All groups5.2 . . . . . . . . . . . . . . . .81Consumer price index, By group5.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

TA B L E S


Source: House Price Indexes: Eight Capital Cities, (cat. no. 6416.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

%change

–2

0

2

4

6

8

10

PROJECT HOUSE PRICE INDEXES, (f rom Tab le 5.7)

Source: Consumer Price Index, Australia, (cat. no. 6401.0)

Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

%change

–2

0

2

4

6All groupsAll groups, goods componentAll groups, services componentAll groups excluding 'volatile items'

CONSUMER PRICE INDEX, (f rom Tab le 5.1 and 5.14) Change fromprev ious quar te r


Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

%change

–2

0

2

4

6

8All groupsGoodsServicesAll groups excluding 'volatile items'

CONSUMER PRICE INDEX, (f rom Tab le 5.1 and 5.14) Change fromcor respond ing quar te r of prev ious year

GR A P H S


CH A P T E R 5 • P R I C E S

Source: Consumer Price Index, Australia, (cat. no. 6401.0)(a) Base: June quarter 2005 = 100.0.(b) Weighted average of eight capital cities.

1.5–6.65.10.71.2–5.95.22.45.21.34.74.8June2.5–1.45.00.51.0–4.65.31.95.52.15.75.7March3.77.04.81.30.5–1.24.90.46.50.25.85.6December5.09.54.71.60.28.75.10.96.80.05.83.4September

2008–20094.59.94.21.70.06.94.8–0.66.01.14.83.9June4.26.84.31.40.16.84.6–0.75.7–0.53.85.7March

2007–2008


0.5–1.70.1–0.10.31.62.32.20.82.10.9–0.9June0.1–6.35.4–1.10.4–1.54.40.80.9–0.51.02.2March

–0.3–0.30.00.50.4–6.9–1.20.30.70.41.42.0December1.21.7–0.51.30.21.0–0.2–0.92.6–0.71.41.4September

2008–20091.53.80.0–0.20.13.12.41.61.13.01.9–0.1June1.31.75.2–0.3–0.11.94.0–0.61.9–2.41.02.1March

2007–2008


167.0106.5296.9136.4112.5161.4254.1127.7150.9111.8267.4188.1June166.2108.3296.7136.5112.2158.8248.5125.0149.7109.5265.1189.9March166.0115.6281.4138.0111.8161.3238.1124.0148.3110.0262.6185.8December166.5115.9281.3137.3111.4173.3241.0123.6147.2109.6259.1182.1September

2008–2009164.6114.0282.6135.5111.2171.6241.6124.7143.4110.4255.4179.5June162.2109.8282.5135.8111.1166.4236.0122.7141.9107.2250.7179.6March160.1108.0268.6136.2111.2163.3226.9123.5139.3109.8248.2175.9December158.6105.8268.6135.1111.2159.4229.3122.5137.8109.6245.0176.1September

2007–2008157.5103.7271.3133.3111.2160.5230.5125.5135.3109.2243.6172.8June

2006–2007

OR I G I N A L (1 9 8 9 – 9 0 = 10 0 . 0 ) (b)

166.4111.6289.1137.1112.0163.7245.4125.1149.0110.2263.6186.52008–09161.4109.4275.6135.7111.2165.2233.5123.4140.6109.3249.8177.82007–08156.1103.0264.6133.8110.8158.0223.5124.6133.7108.4240.6172.42006–07

AN N U A L (1 9 8 9 – 9 0 = 10 0 . 0 ) (b)

All

groups

Finan-

cial and

insur-

ance

services

(a)Edu-

cation

Recr-

eation

Comm-

unic-

ation

Trans-

port-

ationHealth

House-

hold

contents

and

servicesHousing

Cloth-

ing

and

foot-

wear

Alcohol

and

tobaccoFoodPe r i od

CONSUMER PRICE INDEX, By group5.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .





2008–20094.58.33.95.44.54.14.54.14.6June4.27.94.14.44.23.94.33.94.0March

2007–2008


0.5–0.20.70.20.40.40.40.40.8June0.12.70.7–0.70.10.4–0.1–0.1–0.3March

–0.30.5–1.00.6–0.40.7–0.3–0.7–0.8December1.26.61.01.41.21.21.20.81.1September

2008–20091.5–0.21.31.71.41.21.41.51.8June1.33.71.31.41.31.31.21.21.2March

2007–2008




2007–2008157.5169.1155.8161.3154.9157.1154.1160.5154.6June

2006–2007

OR I G I N A L (1 9 8 9 – 9 0 = 10 0 . 0 )

166.4198.3163.0172.7163.5166.9162.7167.8162.62008–09161.4179.9159.0166.3158.7160.9158.0163.9158.22007–08156.1168.6154.6159.5153.6155.9152.9159.2152.92006–07

AN N U A L (1 9 8 9 – 9 0 = 10 0 . 0 )

Hospital

and

medical

servicesTransportationHealthHousingFood

All

groupsUtilities

All groups–

goods

component

All groups–

services

component

ALL GROUPS EXCLUDING —

Per i od

CONSUMER PRICE INDEX, Spec ia l ser ies and Al l groups5.2 . . . . . . . . . . . . . . . . . . . . . . .




–1.3–2.8–9.0–0.60.00.91.0March0.411.38.92.11.11.20.3December2.75.110.81.91.30.51.2September

2008–20093.61.011.41.50.91.31.0June1.62.43.91.21.01.31.3March0.90.11.40.70.40.60.6December

2007–2008




2007–2008101.598.6100.0100.2100.5101.9101.4June100.698.6100.3100.3100.1100.4100.1March

2006–2007

OR I G I N A L (2 0 0 6 – 0 7 = 10 0 . 0 )

4.4–0.74.52.62.14.03.52007–084.5–0.46.44.42.44.42.72006–074.83.614.82.82.04.02.52005–06


104.499.3104.5102.6102.1104.0103.52007–08100.0100.0100.0100.0100.0100.0100.02006–07

95.7100.493.995.897.695.897.32005–06

AN N U A L (2 0 0 6 – 0 7 = 10 0 . 0 )

PublicPrivateGovernmentHouseholds GDP

Imports

of goods

and

services

Exports

of goods

and

services

GROSS FIXED CAPITALFORMATION

FINAL CONSUMPTIONEXPENDITURE

Per i od

CHAIN PRICE INDEX, Expend i tu re on GDP5.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




–2.2–7.12.32.6–2.3–2.30.2–11.8–11.7–12.0–9.9March16.83.622.415.711.012.11.310.710.810.68.8December

5.06.91.21.74.24.41.514.80.913.110.9September2008–2009

–1.64.5–2.4–2.21.10.61.117.50.815.011.9June1.05.7–0.51.02.82.40.34.67.15.03.9March

–1.32.7–2.5–2.00.0–0.20.70.74.31.21.1December2007–2008


114.8115.8114.5114.1115.0115.0107.5133.6114.3130.6125.5March117.4124.7111.9111.1117.8117.7107.3151.4129.4148.5139.3December100.5120.391.596.1106.1105.0105.9136.8116.7134.2128.0September

2008–200995.7112.590.394.5101.8100.5104.3119.1115.7118.7115.5June97.3107.792.696.6100.6100.0103.2101.4114.7103.2103.2March96.3101.993.095.797.997.6102.996.9107.198.299.3December97.699.295.497.797.997.8102.296.3102.797.198.2September

2007–200898.499.597.898.798.998.8100.999.599.899.699.8June99.997.699.3100.298.799.0100.299.7103.5100.3100.3March

2006–2007

SE A S O N A L L Y AD J U S T E D (2 0 0 6 – 0 7 = 10 0 . 0 )

–3.35.5–7.2–4.1–0.4–1.03.33.510.74.44.22007–080.41.9–5.0–2.3–1.0–0.73.57.12.76.45.92006–071.611.9–4.5–0.93.73.43.522.10.217.914.62005–06


96.7105.592.895.999.699.0103.3103.5110.7104.4104.22007–08100.0100.0100.0100.0100.0100.0100.0100.0100.0100.0100.02006–07

99.698.1105.3102.3101.0100.796.693.497.494.094.42005–06

AN N U A L (2 0 0 6 – 0 7 = 10 0 . 0 )

Services

Inter-

mediate

and

other

goods

Capital

goods

Con-

sump-

tion

goods

Total

goods

Total

goods

and

servicesServices

Non–rural

and other

goods

Rural

goods

Total

goods

Total

goods

and

services

DEBITSCREDITS

Per i od

IMPL IC IT PRICE DEFLATORS, Components of inte rnat iona l trade in goods and

serv i ces5.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Reserve Bank of Australia Bulletin, RBA.p preliminary figure or series subject to revisionr revised

p195.2p160.0p127.4p239.3p196.2p156.1p168.0p137.8p109.6p218.6p179.2p142.6Junep176.6p147.3p121.3p239.7p199.9p164.5p166.8p139.1p114.4p218.5p182.3p149.9Mayp168.2p142.8p123.6p252.5p214.4p185.4p153.9p130.6p113.0p223.9p190.0p164.4April148.7127.1117.3r295.2r252.3r232.5149.0127.4117.4r252.7r216.0r199.1March142.8121.6115.2r317.8r270.7r256.3148.4126.4119.7r268.6r228.7r216.6February149.8125.2115.7r330.8r276.5r255.4153.9128.7118.8r279.4r233.5r215.7January143.1119.3111.9r345.0r287.6r269.7147.5122.9115.3r287.6r239.7r224.8December170.6145.7136.3365.0311.8291.4146.6125.2117.0301.5257.5240.7November201.7168.4152.5r385.9r322.1r291.5161.1134.4121.6r320.5r267.6r242.1October266.0216.4169.8403.9328.7257.6191.0155.4121.8342.0278.3218.1September286.9228.9170.0396.2316.2234.7206.1164.5122.1340.9272.1202.0August311.9242.1169.7396.8308.0215.7210.6163.4114.5342.6265.9186.3July

2008–2009313.3245.4172.4370.4290.3203.8208.7163.5114.8323.4253.4177.9June327.4255.4180.7348.2271.6192.0200.2156.1110.3305.2238.0168.3May349.7270.4196.8325.2251.5182.9209.6162.1117.8291.6225.5164.0April

2007–2008

OR I G I N A L (2 0 0 1 – 0 2 = 10 0 . 0 )

196.8162.1135.9330.7273.7234.2166.9138.0117.1283.1234.2200.22008–09331.4265.3193.8278.5222.3161.9199.9159.8116.6255.7204.2148.72007–08350.5296.4233.2241.5204.3160.8149.9126.899.8214.9181.8143.12006–07

AN N U A L (2 0 0 1 – 0 2 = 10 0 . 0 )

United

States

dollar

Special

drawing

rights

Australian

dollar

United

States

dollar

Special

drawing

rights

Australian

dollar

United

States

dollar

Special

drawing

rights

Australian

dollar

United

States

dollar

Special

drawing

rights

Australian

dollar

OF WHICH — BASE METALSNON–RURAL COMPONENTRURAL COMPONENTALL ITEMS

Per i od

RBA INDEX OF COMMODITY PRICES5.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Source: Indexes of Prices Received and Paid by Farmers — Australian Bureau

of Agricultural and Resource Economics, ABARE.(a) Ratios of prices received by farmers and indexes or prices paid by

farmers.(b) ABARE Estimates.

94.0146.5139.6134.6122.0140.4163.2137.8127.1129.1176.2172.1169.3125.82008–09(b)91.6154.3136.8143.2141.8138.0174.1141.4148.7153.5166.6152.9190.5135.12007–0894.1135.8132.3129.1130.8133.5146.7127.8115.5111.5174.3152.6122.4123.22006–07

AN N U A L (1 9 9 7 – 9 8 = 10 0 . 0 )

TotalCapital

Mark-

eting

exp-

enses

Over-

headsLabour

Mater-

ials and

serv-

icesTotal

Wool

prod-

ucts

All live-

stock

prod-

ucts

Cattle

slaught-

ering

All live-

stock

slaught-

erings

Wheat

crops

All

crops

Farme-

rs'

terms of

trade(a)

PRICES PAID BY FARMERSPRICES RECEIVED BY FARMERS

Per i od

INDEXES OF PRICES RECEIVED AND PAID BY FARMERS5.6 . . . . . . . . . . . . . . . . . . . . . . . .



nya not yet availablep preliminary figure or series subject to revisionr revised(a) Base of each index — 2003–04 = 100.0.(b) Weighted average of six capital cities.Source: House Price Indexes: Eight Capital Cities, (cat. no. 6416.0) and Producer Price

Indexes, (cat. no. 6427.0)

nyanya1.3–0.5p–2.2March0.30.81.30.2p–1.2December

r1.51.32.71.4–2.6September2008–2009

r1.11.51.51.0r–0.8Juner1.70.71.21.80.7Marchr1.61.00.91.44.2December

2007–2008


nyanya121.7122.5p122.2March124.8125.5120.1123.1p125.0December

r124.4124.5118.6122.8126.5September2008–2009

r122.6122.9115.5121.1r129.9Juner121.3121.1113.8119.9131.0Marchr119.3120.2112.4117.8130.1December117.4119.0111.4116.2124.8September

2007–2008r116.0117.4110.5114.9120.3June114.7116.2109.8113.7115.4March

2006–2007

QU A R T E R L Y

5.14.63.44.8r11.72007–083.44.73.52.79.92006–074.54.92.34.03.82005–06


r120.2120.8113.3118.8r129.02007–08114.3115.5109.5113.3115.52006–07110.6110.3105.8110.3105.12005–06

AN N U A L

National

accounts

private

housing

investment

Total hourly

rates of pay

excluding

bonuses,

construction

industry

Materials

used in

house

building(b)Project

Homes

Established

HomesPe r i od

SELECTED HOUSING PRICE AND RELATED INDEXES (a) , Or ig ina l5.7 . . . . . . . . . . . . . . . .



Source: Producer Price Indexes, Australia, (cat. no. 6427.0) andInternational Trade Price Indexes, (cat. no. 6457.0)

(a) Weighted average of six capital cities.

–0.25.90.63.05.8–0.3–9.2–6.4June42.814.62.95.66.91.70.8–1.0March54.921.15.09.86.95.113.96.7December32.99.66.07.76.46.921.110.9September

2008–200913.33.57.04.64.66.415.88.7June

0.12.26.33.03.76.211.96.9March2007–2008


–20.6–6.4–1.2–0.50.4–0.3–4.3–1.5June–4.6–2.8–0.4–2.51.3–1.5–8.1–4.3March15.910.80.52.61.3–0.3–2.6–2.3December13.85.01.73.52.61.86.01.6September

2008–200913.51.41.12.01.51.66.34.2June

3.52.71.61.41.31.93.83.1March2007–2008


31.312.73.66.56.53.36.12.32008–092.0–0.66.42.33.55.69.15.02007–087.9–1.16.12.33.54.25.04.72006–07


Export

price

Import

price

Output

of

property

and

business

services

Output of

transport

(freight)

and

storage

services

Materials

used in

house

building

Output

of the

construction

industry

Materials

used in

manufacturing

Articles

produced by

manufacturing

INTERNATIONALTRADESERVICESCONSTRUCTIONMANUFACTURING

Per i od

SELECTED PRODUCER PRICE INDEXES (a)5.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Producer Price Indexes, Australia, (cat. no. 6427.0)(a) 1989–90 = 100.0


2008–2009150.2138.8134.4150.2162.0181.9157.0147.5146.1159.2June149.5138.0129.4148.3159.7165.6155.4147.3145.7154.2March148.6137.8131.2146.9158.4163.7152.2143.9144.1153.6December148.1136.3134.3145.4157.2163.7149.3143.1144.6151.5September

2007–2008147.2136.1135.3144.3155.4163.2147.4141.7142.1152.0June

2006–2007155.1142.2133.3153.9170.8238.6160.1151.7150.6165.52008–09149.1137.7132.3147.7159.3168.7153.5145.5145.1154.62007–08146.2135.3133.9143.3154.1160.1146.5140.7141.4148.32006–07

Other

materials

Installed

gas and

electrical

appliances

Electrical

equipment

Plumbing

products

Other

metal

products

Steel

products

Timber,

board

and

joinery

Ceramic

products

Cement

products

Concrete,

cement

and sandPe r i od

PRICE INDEXES OF MATERIALS USED IN HOUSE BUILDING BY MATERIALS

GROUP (a)5.9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .


172.7143.7151.6155.5208.5168.8172.9257.3162.3190.4144.4June180.4149.0159.0166.7225.4168.7198.8281.1161.3201.3156.7March196.4157.4155.1169.0231.5165.5203.4370.0171.4209.9164.9December201.7148.8139.5159.8208.6157.7157.0459.6173.6231.6150.4September


2007–2008164.3142.1139.6161.9178.7144.1144.0297.0152.4188.2132.0June

2006–2007187.8149.7151.3162.8218.5165.2183.0342.0167.2208.3154.12008–09177.1137.7136.0151.9185.4147.7148.2352.7165.5205.4133.32007–08162.2138.2138.5156.8175.3142.8136.7294.7149.6183.2132.02006–07

Electronic

equipment

and other

machinery

Transport

equip-

ment

and parts

Fabri-

cated

metal

products

Basic

metal

products

Non–

metallic

mineral

products

Chem-

icals

Petrol-

eum

and coal

products

Food,

beverages

and

tobacco

Domestic

materials

Imported

materials

Manu-

fact-

uring

division

ANZSIC SUBDIVISIONSOURCE

Per i od

PRICE INDEXES OF MATERIALS USED IN MANUFACTURING INDUSTRIES (a) ,

Selec ted indust r ies5.10 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .






2007–2008158.7123.8127.7147.2196.6299.7127.7125.5158.5June

2006–2007168.0130.4129.5170.9169.9333.3148.5133.4179.82008–09164.2125.9128.0149.8176.8370.3131.6128.0165.82007–08156.4122.7129.2145.3189.8295.6127.6125.5156.42006–07

Manufac-

turing

division

Electronic

equipment

and other

machinery

Transport

equipment

and parts

Fabri-

cated

metal

products

Basic

metal

products

Petrol-

eum

and coal

productsChemicals

Knitting

mills,

clothing,

footwear

and leather

Food,

beverages

and

tobaccoPe r i od

PRICE INDEXES OF ART ICLES PRODUCED (a) , By manufac tu r ing

indus t r ies—Selec ted ANZSIC subd i v i s ion5.11 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Source: International Trade Price Indexes, Australia, (cat. no. 6457.0)(a) Australian Harmonised Export Commodity Classification(b) 1989–90 = 100.0

166.5117.385.6121.6231.663.599.6314.296.1155.9152.2June209.8127.191.9125.6262.867.0110.9458.3100.2176.3170.9March219.9125.691.6167.9233.970.8131.5465.897.6194.6199.5December189.8102.280.8181.9192.769.2122.2375.786.0169.6180.0September


2007–2008147.2106.679.3233.3161.072.9118.3219.691.6112.1132.4June

2006–2007196.5118.187.5149.3230.367.6116.1403.595.0174.1175.72008–09149.6102.877.6190.5181.073.0112.3236.885.2138.7146.02007–08146.8109.279.8212.4163.167.1123.5225.597.5102.0134.92006–07

All

groups

Motor

vehicles,

aircraft

and

vessels

Machin-

ery and

mechan-

ical appli-

ances

Base

metals and

articles

of base

metals

Gold,

dia-

monds

and

coin

Wool

and

cotton

fibres

Products

of

chemical

or allied

industries

Mineral

prod-

ucts

Pre-

pared

food-

stuffs

Vege-

table

prod-

ucts

Live

animals,

animal

productsPe r i od

EXPORT PRICE INDEXES, By selec ted AHECC sect ion (a) (b )5.12 . . . . . . . . . . . . . . . . . . .



Source: International Trade Price Indexes, Australia, (cat. no. 6457.0)

124.7247.0121.996.6147.8June133.2278.2136.3102.6163.3March137.0240.5129.798.8160.1December123.7198.3102.083.6135.8September

2008–2009117.8192.498.682.7129.5June116.2207.0101.385.1129.4March113.1178.6100.685.3129.0December112.9162.2104.087.5132.0September

2007–2008113.8161.9105.789.8132.7June

2006–2007

QU A R T E R L Y (1 9 8 9 – 9 0 = 10 0 . 0 )

129.7241.0122.595.4151.82008–09115.0185.1101.185.2130.02007–08115.7163.7109.392.4135.12006–07

AN N U A L (1 9 8 9 – 9 0 = 10 0 . 0 )

All

groups

Commodities

and

transactions

n.e.s.

Miscellaneous

manufactured

articles

Machinery

and

transport

equipment

Manufactured

goods by

materialPer i o d


2008–2009122.8227.6425.9152.6123.3129.3June120.4209.6367.4139.9123.7128.8March119.1178.0330.9131.3122.5122.0December120.6176.1290.6131.4121.8124.6September

2007–2008121.4162.9282.9124.5120.0120.6June

2006–2007

QU A R T E R L Y (1 9 8 9 – 9 0 = 10 0 . 0 )

142.4245.0332.7174.1131.6147.12008–09120.7197.8353.7138.8122.8126.22007–08118.8167.0280.2125.6122.3123.82006–07

AN N U A L (1 9 8 9 – 9 0 = 10 0 . 0 )

Chemicals

products

Animal

and

vegetable

oils, etc.

Mineral

fuels,

etc.

Crude

materials,

inedible,

except

fuels

Beverages

and

tobacco

Food

and live

animals

chiefly

for foodPer i od

IMPORT PRICE INDEXES, By SITC sect ions5.13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Consumer Price Index, Australia, (cat. no. 6401.0)(a) For a description of these series refer to paragraph 12 of theexplanatory notes of the June Quarter 2007 Consumer Price

Index, Australia (cat. no. 6401.0).

2.40.02.00.72.82.51.41.5June3.40.82.82.53.03.22.12.5March5.41.23.85.42.64.12.43.7December6.13.44.46.23.24.63.85.0September

2008–20095.62.94.26.12.94.23.34.5June5.03.33.54.92.63.63.54.2March

2007–2008


0.40.70.5–0.11.00.60.70.5June–0.10.5–0.2–1.80.90.30.80.1March0.6–1.80.50.80.40.5–0.7–0.3December1.60.71.01.80.51.10.71.2September

2008–20091.41.51.41.71.21.31.31.5June1.70.80.81.10.51.21.11.3March

2007–2008


151.7122.6165.6182.9158.2174.4169.0167.0June151.1121.8164.7183.0156.7173.4167.9166.2March151.3121.2165.0186.3155.3172.8166.6166.0December150.4123.4164.1184.9154.7172.0167.7166.5September

2008–2009148.1122.6162.4181.7153.9170.2166.6164.6June146.1120.8160.2178.6152.1168.0164.5162.2March143.6119.8159.0176.7151.3166.0162.7160.1December141.7119.4157.2174.1149.9164.4161.5158.6September

2007–2008140.2119.2155.9171.3149.5163.3161.2157.5June

2006–2007

OR I G I N A L (1 9 8 9 – 9 0 = 10 0 . 0 ) (a)

151.1122.3164.9184.3156.2173.2167.8166.42008–09144.9120.7159.7177.8151.8167.2163.8161.42007–08138.6118.5154.6170.0148.2161.7159.8156.12006–07

AN N U A L (1 9 8 9 – 9 0 = 10 0 . 0 ) (a)

TotalServicesGoods Non–tradablesTradables

MARKET GOODS AND SERVICESEXCLUDING 'VOLATILE ITEMS'

All groups

excluding

'volatile

items'

All groups

excluding

Housing and

Financial and

insurance

services

All

groupsPe r i od

CONSUMER PRICE INDEX, Ana ly t i ca l ser ies (a )5.14 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Producer Price Indexes, Australia, (cat. no. 6427.0)(a) 1998–99 = 100.0(b) Excluding exports.



2007–2008125.280.8136.6132.9113.8136.2138.1132.7139.1June

2006–2007134.588.9146.3145.4130.9147.9153.7154.6153.82008–09128.778.8141.6137.8117.4141.3144.0141.9144.52007–08124.282.5134.8131.0114.5133.9136.2132.4137.02006–07

TotalImportsDomesticTotalImportsDomesticTotalImportsDomestic

FINAL(b)INTERMEDIATEPRELIMINARY

Per i od

STAGE OF PRODUCT ION PRODUCER PRICE INDEXES (a)5.15 . . . . . . . . . . . . . . . . . . . . . .

(a) Base of each index 1998–99 = 100.0Source: Producer Price Indexes, Australia, (cat. no. 6427.0)


2008–2009144.6135.3159.5124.2124.2135.6June143.0134.6156.6121.8123.6132.8March140.7133.8151.9120.1123.4129.9December138.7133.1147.5119.4119.9128.9September

2007–2008135.2130.7142.5118.7119.0127.5June

2006–2007146.9139.2159.2129.3129.5141.12008–09141.8134.2153.9121.4122.8131.82007–08133.3130.0138.7118.6118.2126.92006–07

Storage

(67)

Road

Transport

(61)

Total

output of

property

and

business

services

Business

Services

(78)

Property

Services

(77)

Total

output of

Transport

(freight)

and

storage

SELECTED ANZSICSUBDIVISIONS

Per i od

SERVICE INDUSTRIES PRODUCER PRICE INDEXES (a)5.16 . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 6 LA B O U R FO R C E AN D DE M O G R A P H Y . . . . . . . . . . . . . . . .

pageC O N T E N T S

106Overseas arrivals and departures6.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . .105Estimated resident population6.11 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .105Estimated resident population and components of population change6.10 . . . .104Industrial disputes, By industry�Working days lost per '000 employees6.9 . . .103Job vacancies6.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .101Employed persons, By industry6.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . .100Unemployed persons, Reason for leaving last job�Original6.6 . . . . . . . . . . .100Unemployed persons, Duration of unemployment�Original6.5 . . . . . . . . . .99Unemployment rate, By sex and age group6.4 . . . . . . . . . . . . . . . . . . . . . .98Labour force status of the civilian population, Females6.3 . . . . . . . . . . . . . . .97Labour force status of the civilian population, Males6.2 . . . . . . . . . . . . . . . . .96Labour force status of the civilian population, Persons6.1 . . . . . . . . . . . . . . .

TA B L E S


Source: Australian Demographic Statistics, Australia, (cat. no. 3101.0)

Dec1996

Dec1999

Dec2002

Dec2005

Dec2008

'000

20

40

60

80

100

120Total increaseNatural increase

POPULAT ION GROWTH, (f rom Tab le 6.10)

Source: Labour Force, Australia, (cat. no. 6202.0)

Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

%

2

4

6

8

10FemalesMales

UNEMPLOYMENT RATES, (f rom Tab le 6.4) 20 years and over look ingfor fu l l t ime work—Trend


Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

%

10

15

20

25

30

35FemalesMales

UNEMPLOYMENT RATES, (f rom Tab le 6.4) 15–19 years look ing forfu l l t ime work—Trend

GR A P H S


CH A P T E R 6 • L A B O U R FO R C E A N D D E M O G R A P H Y

Source: Overseas Arrivals and Departures, Australia, (cat. no. 3401.0)

May1997

May2000

May2003

May2006

May2009

'000

200

300

400

500


SHORT TERM RESIDENT DEPARTURES, (f rom Tab le 6.12)

Source: Overseas Arrivals and Departures, Australia, (cat. no. 3401.0)

May1997

May2000

May2003

May2006

May2009

'000

300

350

400

450


SHORT TERM VIS ITOR ARRIVALS, (f rom Tab le 6.12)GR A P H S continued



(b) For unemployment and participation rates, the changes are given aspercentage points.


(a) Series is non–seasonal. Original data provided instead of seasonallyadjusted data.

0.00.10.10.11.90.00.1–0.1–0.1–0.7June0.00.10.10.12.70.00.2–0.1–0.1–0.9May0.00.20.10.13.5–0.10.2–0.2–0.1–1.0April0.00.20.20.24.3–0.10.2–0.2–0.1–1.2March0.00.20.20.25.00.00.3–0.2–0.1–1.6February0.00.20.20.25.30.00.4–0.2–0.2–2.0January0.00.20.20.24.70.00.5–0.2–0.2–2.4December0.00.10.20.23.50.00.6–0.2–0.2–2.5November0.00.10.20.12.00.00.5–0.2–0.1–2.2October

2008–2009

TR E N D — PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

–0.20.10.1–0.11.1–0.20.0–0.3–0.2–2.5June0.00.30.10.25.1–0.10.8–0.4–0.3–4.1May

–0.1–0.20.10.0–4.10.2–0.70.60.54.2April–0.10.40.20.17.7–0.30.0–0.5–0.5–1.7March0.20.40.20.59.40.01.7–0.7–0.7–0.8February0.10.30.20.36.90.0–1.10.40.6–5.1January

–0.10.00.20.01.00.01.7–0.7–0.6–2.5December–0.10.10.20.02.4–0.1–0.70.10.10.8November0.10.10.20.42.20.31.5–0.2–0.1–4.7October

2008–2009

SE A S O N A L L Y AD J U S T E D — PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

65.35.817 504.411 425.4662.910 762.53 150.67 611.87 395.5216.3June65.45.717 481.411 439.4655.510 783.93 150.27 633.77 411.9221.8May65.45.517 458.411 415.9623.510 792.43 125.77 666.67 435.3231.4April65.55.717 435.411 416.9650.210 766.83 147.47 619.37 397.3222.0March65.55.317 407.711 408.1603.710 804.43 147.47 657.07 431.0225.9February65.34.917 380.211 353.1551.710 801.53 093.87 707.67 479.9227.8January65.24.617 352.511 317.3515.910 801.43 127.87 673.67 433.6240.0December65.34.517 322.911 313.4510.610 802.83 077.07 725.87 479.7246.1November65.44.417 293.411 316.3498.510 817.83 098.97 718.87 474.8244.1October65.34.317 263.811 275.9487.910 787.93 051.87 736.17 479.9256.2September65.34.117 240.511 260.4462.410 798.03 032.67 765.37 503.0262.3August65.54.317 217.311 279.9484.610 795.33 023.87 771.57 513.6257.9July

2008–2009

65.54.217 194.111 264.6476.410 788.23 061.67 726.57 459.8266.8June65.44.217 172.011 224.1475.110 749.03 054.07 695.07 430.2264.8May65.64.217 150.011 254.7475.410 779.33 080.57 698.87 443.0255.8April

2007–2008


Partici-

pation

rate

(%)

Unemploy-

ment

rate (%)

Total

('000)

Part

time

('000)

Total

('000)

Aged 20

yrs and

over

('000)

Aged

15–19

yrs

('000)

PER CENT(b)Civilian

population

aged 15

yrs and

over

('000)(a)

LabourForce('000)

Unempl-

oyed

('000)

EMPLOYEDEMPLOYED FULL TIME

Per i od

LABOUR FORCE STATUS OF THE CIV IL IAN POPULAT ION, Persons6.1 . . . . . . . . . . . . . . . .





(a) Series is non–seasonal. Original data is provided instead ofseasonally adjusted data.

0.00.10.10.12.5–0.10.4–0.2–0.2–1.6June0.00.20.10.13.6–0.10.6–0.3–0.2–2.0May0.00.20.10.14.5–0.20.8–0.3–0.3–2.4April0.00.30.20.15.4–0.20.9–0.4–0.3–2.7March0.00.30.20.16.4–0.21.0–0.4–0.3–2.9February0.00.30.20.16.9–0.21.0–0.4–0.3–3.1January0.00.30.20.16.5–0.21.0–0.4–0.3–3.0December0.00.20.20.15.3–0.10.8–0.3–0.2–2.8November0.00.10.20.13.50.00.4–0.10.0–2.2October

2008–2009

TR E N D — PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

–0.10.10.1–0.11.7–0.2–0.90.00.0–1.5June0.00.40.10.27.8–0.32.3–0.7–0.7–2.7May

–0.1–0.10.10.0–2.50.2–2.10.60.62.6April0.00.50.20.28.7–0.32.9–0.9–0.8–5.8March0.00.30.20.16.8–0.21.6–0.6–0.4–5.1February

–0.10.40.20.18.1–0.30.6–0.5–0.4–3.4January0.10.40.20.38.6–0.10.8–0.2–0.30.3December

–0.10.10.20.03.3–0.10.1–0.1–0.1–2.3November–0.10.00.20.00.70.0–0.10.00.1–3.2October

2008–2009

SE A S O N A L L Y AD J U S T E D — PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

72.16.18 626.56 215.9379.35 836.6928.54 908.14 769.6138.5June72.26.08 614.66 220.1372.95 847.1937.24 910.04 769.4140.6May72.25.68 602.76 208.5345.95 862.5916.44 946.14 801.6144.5April72.25.78 590.56 205.5354.75 850.8936.44 914.54 773.7140.8March72.25.38 576.26 195.8326.35 869.5909.64 960.04 810.5149.5February72.34.98 562.06 188.7305.45 883.4895.34 988.14 830.6157.5January72.44.68 547.76 185.4282.55 902.8889.95 012.94 849.8163.1December72.34.28 532.66 168.2260.15 908.1882.85 025.34 862.7162.6November72.44.18 517.46 165.5251.75 913.8882.05 031.94 865.4166.4October72.54.18 502.36 164.8249.95 914.9882.75 032.24 860.3171.9September72.43.88 490.36 143.9235.35 908.6857.25 051.44 868.3183.1August72.53.98 478.56 145.2240.05 905.2864.95 040.34 864.4175.9July

2008–2009

72.74.08 466.56 159.0244.15 915.0889.05 025.94 847.7178.2June72.53.98 455.06 125.9240.25 885.8896.34 989.54 813.6175.9May72.64.08 443.46 133.4243.85 889.6891.24 998.44 827.7170.7April

2007–2008


Partici-

pation

rate

(%)

Unempl-

oyment

rate (%)

Total

('000)

Part

time

('000)Total

Aged 20

yrs and

over

('000)

Aged

15–19

yrs

('000)

PER CENT(b)Civilian

population

aged 15

yrs and

over

('000)(a)

LabourForce('000)

Unempl-

oyed

('000)


Per i od

LABOUR FORCE STATUS OF THE CIV IL IAN POPULAT ION, Males6.2 . . . . . . . . . . . . . . . . . .





(a) Series is non–seasonal. Original data is provided instead of seasonallyadjusted data.

0.00.10.10.11.10.0–0.10.10.10.9June0.00.10.10.11.50.10.00.10.10.9May0.00.10.10.22.30.10.00.20.11.5April0.10.10.10.23.00.1–0.10.20.21.7March0.10.20.20.33.50.10.00.20.21.1February0.10.20.20.33.50.20.20.20.20.1January0.10.10.20.32.80.10.30.00.0–1.0December0.00.10.20.21.60.10.5–0.2–0.1–2.0November0.00.00.20.10.50.10.5–0.2–0.2–2.1October

2008–2009

TR E N D — P E R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

–0.20.00.1–0.20.4–0.20.4–0.7–0.6–4.3June0.10.10.10.21.80.10.20.10.3–6.5May

–0.1–0.30.1–0.1–6.00.3–0.10.60.47.0April–0.10.30.20.06.5–0.4–1.20.30.16.3March0.50.60.20.912.60.31.8–0.8–1.18.8February0.30.20.20.65.50.4–1.82.22.5–8.6January

–0.2–0.30.2–0.3–6.80.12.0–1.5–1.3–7.9December–0.20.10.2–0.11.5–0.2–1.00.50.37.5November0.40.10.20.83.70.62.2–0.6–0.4–7.9October

2008–2009

SE A S O N A L L Y AD J U S T E D — P E R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H

58.75.48 878.05 209.5283.64 925.82 222.12 703.72 625.977.8June58.95.48 866.85 219.4282.64 936.82 213.12 723.72 642.581.2May58.85.38 855.75 207.4277.64 929.82 209.32 720.52 633.686.9April58.95.78 844.85 211.4295.54 916.02 211.12 704.92 623.681.3March59.05.38 831.55 212.3277.44 934.82 237.82 697.02 620.576.5February58.64.88 818.15 164.4246.34 918.12 198.52 719.62 649.370.3January58.34.58 804.85 132.0233.44 898.62 237.92 660.72 583.876.9December58.54.98 790.45 145.2250.64 894.62 194.22 700.42 616.983.5November58.74.88 775.95 150.8246.84 903.92 217.02 687.02 609.477.6October58.34.78 761.55 111.1238.04 873.02 169.12 704.02 619.684.3September58.54.48 750.25 116.5227.14 889.42 175.52 713.92 634.679.3August58.84.88 738.95 134.7244.64 890.12 158.92 731.22 649.282.0July

2008–2009

58.54.68 727.65 105.5232.44 873.22 172.62 700.62 612.188.5June58.54.68 717.15 098.2234.94 863.22 157.72 705.52 616.688.9May58.84.58 706.65 121.3231.64 889.72 189.42 700.42 615.385.1April

2007–2008


Partici-

pation

rate

(%)

Unemploy-

ment

rate (%)

Total

('000)

Part

time

('000)

Total

('000)

Aged 20

yrs and

over

('000)

Aged

15–19

yrs

('000)

PER CENT(b)Civilian

population

aged 15

yrs and

over

('000)(a)

LabourForce('000)

Unempl-

oyed

('000)


Per i od

LABOUR FORCE STATUS OF THE CIV IL IAN POPULAT ION, Females6.3 . . . . . . . . . . . . . . .



Source: Labour Force, Australia, (cat. no. 6202.0)(a) For unemployment rates for males, females and persons, use tables6.1, 6.2 and 6.3

6.15.426.05.16.55.627.94.46.05.324.86.7June6.05.225.55.26.35.527.34.55.85.124.36.8May5.85.024.75.26.15.326.84.55.54.923.46.8April5.54.823.65.25.95.126.14.55.34.622.26.7March5.24.622.35.15.75.025.34.55.04.420.66.6February4.94.320.75.05.54.824.44.44.64.118.76.5January4.74.119.24.95.34.623.64.34.33.816.86.3December4.43.917.94.75.24.523.04.24.03.615.26.1November4.23.717.14.75.14.422.64.13.83.414.16.0October4.13.616.84.75.04.422.54.23.63.213.86.0September4.13.516.94.75.04.322.74.33.63.113.95.9August4.03.517.14.84.94.222.94.33.63.114.15.9July

2008–2009

4.03.517.14.74.84.022.74.33.63.114.15.8June4.03.416.94.74.74.022.14.33.63.114.05.7May3.93.416.64.74.63.921.54.33.53.113.95.6April

2007–2008

TR E N D (P E R CE N T )

6.25.426.04.96.45.629.24.26.05.424.16.5June6.05.325.25.16.25.426.54.45.95.224.36.6May5.64.923.55.26.15.225.94.45.34.721.97.0April5.75.024.75.66.15.425.25.15.54.824.56.9March5.44.724.35.06.15.326.24.45.14.423.26.4February4.84.221.15.05.14.329.54.34.64.216.66.7January4.54.017.24.74.94.418.54.14.33.816.66.2December4.43.916.94.85.44.722.64.33.93.513.66.0November4.33.817.44.75.44.722.54.13.73.314.76.1October4.13.617.34.85.04.223.24.33.73.214.16.2September4.03.516.84.34.94.223.73.93.63.213.55.3August4.03.517.14.95.04.323.24.53.53.113.96.1July

2008–2009

3.93.417.15.04.74.020.84.43.53.115.26.3June3.93.416.75.04.53.822.24.73.63.213.65.8May4.23.618.64.34.94.124.64.03.83.315.35.2April

2007–2008

SE A S O N A L L Y AD J U S T E D (P E R CE N T )

Total

Aged

20

years

and

over

Aged

15-19

yearsTotal

Aged

20

years

and

over

Aged

15-19

yearsTotal

Aged

20

years

and

over

Aged

15-19

years

PERSONS, LOOKINGFOR FULL TIME WORK

Persons,

looking

for part

time

work

FEMALES, LOOKINGFOR FULL TIME WORK

Females,

looking

for part

time work

MALES, LOOKINGFOR FULL TIME WORK

Males,

looking

for part

time

workPe r i od

UNEMPLOYMENT RATE, By sex and age group(a)6.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Labour Force, Australia, Detailed—Electronic Delivery, (cat. no. 6291.0.55.001)

15.7102.746.056.7551.1June13.388.935.953.0578.9May12.681.029.651.4559.2April12.587.439.547.9609.3March13.592.842.650.2593.8February12.273.836.137.8529.8January12.965.632.333.3442.9December14.868.937.631.4397.4November15.571.536.634.9390.1October16.479.840.639.2407.6September14.763.533.529.9369.7August14.664.532.232.3375.9July

2008–2009

13.864.533.131.4401.5June15.273.437.036.4408.3May15.877.033.843.3411.4April

2007–2008

Total

('000)

Unemployed

104 weeks

and over

('000)

Unemployed

52 weeks

and under

104 ('000)

Long term

unemployment

as a proportion

of total

unemployment

(%)

LONG TERM UNEMPLOYED

Unemployed

under 52

weeks ('000)Pe r i od

UNEMPLOYED PERSONS, Dura t ion of unemployment —Orig ina l6.5 . . . . . . . . . . . . . . . . .

Source: Labour Force, Australia, Detailed—Electronic Delivery, (cat. no. 6291.0.55.001)

18.621.025.335.1462.786.197.3117.0162.2November20.720.424.134.8431.089.487.7103.8150.0August

2008–2009

19.621.324.334.9477.093.4101.4115.7166.4May19.322.024.334.4498.596.2109.6121.1171.7February19.424.824.731.0452.988.0112.4111.9140.6November18.922.625.932.6447.784.5101.2115.9146.0August

2007–2008

19.220.825.934.1466.489.597.2120.7159.1May17.921.025.735.4567.5101.8119.1145.8200.9February22.920.424.432.4450.5103.191.8109.8145.8November

2006–2007

Former

worker

Never

worked

Job

leaver

Job

loserUnemployed

Former

worker

Never

worked

Job

leaver

Job

loser

PERCENT OF UNEMPLOYED (%)REASON FOR UNEMPLOYMENT ('000)

Per i od

UNEMPLOYED PERSONS, Reason for leav ing las t job —Orig ina l6.6 . . . . . . . . . . . . . . . . .

10 0 A B S • A U S T R A L I A N EC O N O M I C I N D I C A T O R S • 1 3 5 0 . 0 • A U G 2 0 0 9


Source: Labour Force, Australia, Detailed – Electronic Delivery, (cat. no. 6291.0.55.001)

3.9–2.1–1.4–5.0–1.57.8–1.24.82.6November1.71.7–0.12.52.56.3–2.74.1–5.8August

2008–20090.41.0–0.2–4.2–0.43.0–0.818.815.2May

–0.43.4–1.37.73.04.23.00.3–6.6February0.8–4.11.7–1.21.54.91.0–1.1–2.1November2.5–2.74.4–4.2–0.5–3.1–1.23.53.9August

2007–2008


528.5515.91 532.2442.8984.5108.61 066.9180.3371.6November508.8526.91 553.4465.9999.7100.71 079.3172.0362.3August

2008–2009500.4517.91 555.0454.7975.694.71 109.0165.3384.6May498.4512.91 558.0474.5979.991.91 117.5139.2333.8February500.2496.01 577.9440.7951.888.21 084.7138.8357.3November496.0517.31 551.1445.9937.484.11 073.8140.3365.0August

2007–2008484.0531.81 486.3465.6942.686.71 086.7135.6351.2May476.9521.91 500.2458.4944.786.01 064.6138.6359.6February455.5493.11 484.3472.6947.581.11 046.5136.9359.4November

2006–2007

SE A S O N A L L Y AD J U S T E D ( ' 0 0 0 )

471.0506.91 492.5469.7936.185.11 063.9136.0356.62007461.4479.91 497.9436.2876.087.41 063.6129.4354.02006453.6501.41 485.9439.9835.676.71 087.0105.9363.92005

AN N U A L AV E R A G E ( ' 0 0 0 )

Transport

and

storage

Accom-

modation

cafes and

restaurants

Retail

trade

Wholesale

tradeConstruction

Electricity,

gas and

water

supply

Manufac-

turingMining

Agriculture,

forestry

and fishingPe r i od

EMPLOYED PERSONS, By indus t r y6.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

A B S • A U S T R A L I A N EC O N O M I C I N D I C A T O R S • 1 3 5 0 . 0 • A U G 2 0 0 9 10 1


Source: Labour Force, Australia, Detailed – Electronic Delivery, (cat. no. 6291.0.55.001)

5.71.41.2–4.30.02.5–5.53.5November–5.52.10.71.22.4–0.21.95.8August

2008–20091.2–3.8–0.71.6–2.8–2.51.42.0May

–2.2–3.41.02.00.44.6–2.1–6.0February5.80.51.62.81.9–2.71.11.9November

–0.8–0.60.3–0.1–1.61.1–1.6–4.0August2007–2008


413.5282.61 136.6763.5486.41 291.4383.8198.7November391.4278.81 122.6797.5486.31 260.1406.3192.0August

2008–2009414.2273.01 114.4787.7474.81 262.2398.6181.4May409.3283.81 122.6775.0488.71 295.0393.1177.9February418.6293.71 111.0759.8486.91 238.2401.4189.3November395.8292.21 093.7739.1477.91 273.0397.2185.8August

2007–2008398.8294.11 090.3739.6485.51 259.4403.7193.5May398.9285.31 070.4724.8486.41 229.0404.6191.0February399.4279.01 075.7717.4477.41 229.0396.7181.9November

2006–2007


396.6280.61 077.9718.6488.51 238.8396.8186.72007397.8274.31 046.3720.0462.61 195.5374.7183.52006388.1260.2994.5675.0451.11 126.9357.7180.92005

AN N U A L AV E R A G E ( ' 0 0 0 )

Personal

and

other

services

Cultural and

recreational

services

Health and

community

servicesEducation

Government

admini-

stration and

defence

Property

and

business

services

Finance

and

insurance

Communi-

cation

servicesPe r i od

EMPLOYED PERSONS, By indus t r y co n t i n u e d6.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



nya not yet available(a) Seasonally adjusted data not available, Original data provided.Source: Job Vacancies, Australia, (cat. no. 6354.0)

389.219.2165.2184.418.5May391.819.0159.4178.415.6February390.719.0164.4183.416.7November374.018.1155.0173.115.2August

2007–08357.617.3151.3168.616.0May331.017.0143.9160.917.1February329.217.1145.0162.114.8November306.616.2138.6154.816.0August

2006–07299.517.5136.6154.113.0May

2005–06


nya18.8160.7179.616.52007–08330.416.9144.7161.616.02006–07271.416.0127.1143.014.32005–06

AN N U A L ( ' 0 0 0 )

Public

sector

Private

sector

Job

Vacancies

per thousand

unemployed

TOTAL

AllindustriesManufacturing(a)Per i od

JOB VACANCIES6.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(d) Comprises Agriculture, forestry and fishing; Electricity, gas and watersupply; Wholesale trade; Retail trade; Accommodation, cafe andrestaurants; Finance and insurance; Property and business services;Government administration and defence, and Personal and otherservices. Other industries may have a small change in scope due to theintroduction of ANZSIC06 which is shown from the March quarter2008.

Source: Industrial Disputes, Australia, (cat. no. 6321.0.55.001)

np not available for publication but included in totals where applicable,unless otherwise indicated

(a) Based on ANZSIC06 classification(b) Transport, postal and warehousing was introduced with ANZSIC06 to

replace the ANZSIC93 classification of Transport and storage.(c) Education and training; Health care and social assistance was

introduced with ANZSIC06 to replace the ANZSIC93 classification ofTransport and storage: Health and community services.

1.20.70.11.36.12.61.60.420.2March3.3np10.8np4.60.51.80.00.0December3.81.29.82.710.32.50.51.746.9September


2007–20080.80.10.10.31.72.16.20.067.1June0.80.10.10.91.53.36.30.29.7March

2006–2007

QU A R T E R L Y

17.62.766.45.111.87.335.70.968.82007–089.81.020.43.913.910.271.66.4121.82006–07

21.62.033.128.190.822.499.111.9123.22005–06

AN N U A L

Other

Metal

product,

Mach-

inery and

equipmentOtherCoal

Allindustries

Other

industries(d)

Education

and training;

Health care

and social

assistance(c)

Transport

postal

and Ware-

housing(b)Construction

MANUFACTURINGMINING

Per i od

INDUSTRIAL DISPUTES, By indus t r y—Work ing days los t per '000 employees(a )6.9 .



Source: Australian Demographic Statistics, Australia,

(cat. no. 3101.0)(a) Includes Other Territories from September 2003

0.521 644.0101.561.340.234.574.7December0.521 542.5110.769.341.440.081.4September

2008–20090.421 431.891.751.040.735.075.7June0.521 340.1102.271.830.434.564.9March0.421 237.984.743.740.932.373.2December0.421 153.280.847.133.640.273.9September

2007–20080.421 072.583.949.234.734.869.5June0.620 988.5114.976.138.831.670.4March0.420 873.784.650.634.033.267.1December

2006–2007

QU A R T E R L Y ( ' 0 0 0 )

1.721 431.8359.3213.7145.6142.0287.72007–081.821 072.5374.6232.8141.7136.0277.72006–071.520 697.9303.1146.8129.5134.0263.52005–06

AN N U A L ( ' 0 0 0 )

Totalincrease

Net

overseas

migration

Natural

increaseDeathsBirths

Estimated

Resident

Population

percent

change

Estimated

Resident

Population(a)

COMPONENTS OF POPULATION CHANGE

Per i od

ESTIMATED RESIDENT POPULAT ION AND COMPONENTS OF POPULAT ION CHANGE6.10

na not available(a) Includes Other Territories.Source: Australian Demographic Statistics, Australia, (cat, no, 3101.0) and ABS data on

request.

na100.013.267.519.32007–2008na100.013.167.519.42006–2007na100.013.067.419.62005–2006

PR O P O R T I O N OF PO P U L A T I O N (% )

36.921 431.82 832.014 474.04 125.82007–200836.821 072.52 764.314 224.64 083.62006–200736.620 697.92 692.713 954.84 050.42005–2006

PO P U L A T I O N ( ' 0 0 0 )

Median

Age

Totalpopulation(a)

Aged 65

years

and over

Aged

15–64

years

Aged

0–14

years

At end of

pe r i od

ESTIMATED RESIDENT POPULAT ION, At 30 June6.11 . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Overseas Arrivals and Departures, Australia, (cat. no. 3401.0)na not available

507.1468.4933.9411.6500.415.86.1851.6374.9436.728.511.4May509.3476.91 022.1492.0503.918.87.4976.0455.6471.237.112.0April465.8475.3951.9497.3430.117.96.6948.6488.6406.539.813.7March477.5477.6844.3458.8363.116.75.6993.1504.0405.170.014.0February461.4450.61 041.9594.0409.627.311.01 234.0458.3700.061.614.2January489.7466.11 183.0500.7642.632.37.51 025.4611.4362.838.013.2December473.1451.9961.4499.7433.522.55.8959.7473.3437.335.114.0November486.0454.3915.4434.6458.016.86.01 122.0456.0614.238.113.7October484.1447.8956.1357.6575.717.05.8954.4402.2504.134.113.9September492.5457.4992.3480.0485.419.47.4957.2420.2486.335.315.5August479.2495.6981.1471.9483.519.36.41 150.5531.6554.453.011.5July

2008–2009474.0462.4956.0400.0531.519.35.2874.0382.7445.233.113.1June493.9476.0917.9408.0488.515.65.7841.2380.9420.326.813.2May481.6470.9953.1463.0466.517.06.6923.4424.1456.130.612.5April486.5464.81 002.5517.7459.218.96.8991.8513.7425.837.514.7March

2007–2008

MO N T H L Y ( ' 0 0 0 )

nana11 672.55 670.05 699.5226.176.911 903.95 629.45 692.5432.7149.42007–08nana11 056.45 654.05 127.1203.172.111 269.35 641.25 114.6373.3140.12006–07nana10 609.35 516.24 834.9190.367.910 731.65 484.14 790.1325.8131.62005–06

AN N U A L ( ' 0 0 0 )

Short-

term

Austra-

lian

residents

depar-

tures

Short-

term

over-

seas

visitors

arrivalsTotal

Short–

term

over-

seas

visitors

Short–

term

Austra-

lian

residents

Long–

term

Perm-

anentTotal

Short–

term

over-

seas

visitors

Short–

term

Austra-

lian

residents

Long-

term

Perm-

anent

SEASONALLYADJUSTEDDEPARTURES (ORIGINAL)ARRIVALS (ORIGINAL)

Per i od

OVERSEAS ARRIVALS AND DEPARTURES6.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 7 IN C O M E S AN D LA B O U R CO S T S . . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

114Labour costs7.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .113Total hourly rates of pay indexes, By occupation�Excluding bonuses7.5 . . . . .112Average weekly earnings of employees, Full-time adults7.4 . . . . . . . . . . . . . .111Company profits before income tax, By broad industry7.3 . . . . . . . . . . . . . . .110Household income account, Uses of income7.2 . . . . . . . . . . . . . . . . . . . . .109Household income account, Sources of income7.1 . . . . . . . . . . . . . . . . . . .

TA B L E S


Source: Business Indicators, Austalia, (cat. no. 5676.0)

Mar1997

Mar2000

Mar2003

Mar2006

Mar2009

$million

0

10

20

30

40

50ManufacturingTotal

COMPANY PROFITS BEFORE INCOME TAX, (f rom Tab le 7.3) TrendGR A P H


CH A P T E R 7 • I N C O M E S A N D L A B O U R C O S T S


–4.0–2.2–0.6–0.8–14.9–14.80.4–1.2March2.31.0–5.60.636.5–14.40.51.1December1.90.3–4.00.7–1.31.32.72.6September

2008–20091.5–1.3–21.50.52.52.91.71.7June2.8–2.812.80.43.06.61.62.1March1.22.20.92.4–0.21.42.21.1December

2007–2008


250 4573222 9845 16727 85423 53748 950141 643March261 0283293 0015 21132 72327 62548 761143 377December255 2063263 1785 18023 96732 28148 522141 752September

2008–2009250 3423253 3115 14524 27731 87947 256138 149June246 6143294 2175 11823 68830 98746 479135 795March239 9243393 7405 09922 99129 06745 730132 958December236 9663323 7084 97823 03328 67644 745131 496September

2007–2008232 7213443 6015 05723 72927 31343 053129 624June226 7873392 7984 58922 51127 58842 484126 477March

2006–2007


8.5–2.620.19.55.511.810.17.52007–088.94.5–5.98.86.516.210.47.92006–077.4–1.812.02.32.317.24.57.72005–06


973 9331 32514 98520 34194 002120 559184 360538 3612007–08897 3361 36012 47218 57989 083107 797167 386500 6582006–07823 8261 30213 25617 07383 60892 801151 609464 1772005–06


Totalgross

income

Other

current

transfers

Current

transfers to

non–profit

institutions

Non–life

insurance

claims

Social

benefits

receivable

Property

income

Gross

operating

surplus

and mixed

income

Compensation

of employeesPe r i od

HOUSEHOLD INCOME ACCOUNT, Sources of income7.1 . . . . . . . . . . . . . . . . . . . . . . . . . . .




Product, (cat. no. 5206.0)na not available(a) Saving derived as a balancing item.

na2.01.5–3.2–2.0–3.7–0.90.7–20.0–10.8Marchna1.90.95.612.2–0.81.4–2.5–14.5–6.7Decemberna2.01.42.730.5–8.11.7–2.83.4–0.3September

2008–2009na2.00.80.93.55.02.5–0.48.94.5Junena2.01.72.23.82.92.91.79.48.3Marchna1.92.10.50.72.52.20.97.47.1December

2007–2008


3 04617 750165 922186 7191 1788361 80733 38815 3043 307March12 05817 409163 478192 9461 2028681 82333 16219 1263 706December

3 60817 081162 070182 7591 0718741 79834 02622 3753 970September2008–2009

1 24816 753159 894177 8948209511 76835 00721 6493 983June1 23816 425158 566176 2297939061 72535 15819 8853 811March

41316 110155 961172 4847648801 67634 55818 1723 520December3 03615 808152 712171 5557588591 64134 24416 9183 285September

2007–20085 03015 509150 131170 6707678741 60732 31615 8363 044June3 59315 207147 534166 3347348531 60231 73715 1502 872March

2006–2007


–51.18.07.26.29.67.63.28.929.930.92007–084 586.28.16.88.93.014.5–17.62.925.825.42006–07

na8.05.17.39.0–1.0–2.25.413.025.62005–06


5 74465 095627 009697 8483 1453 5976 809139 37076 62414 5912007–0811 73960 261584 909656 9102 8693 3436 597127 98058 99411 1472006–07

25155 731547 458603 4392 7862 9198 008124 39646 8858 8882005–06


Net

saving(a)

Consump-

tion of

fixed

capital

House-

holds final

consump-

tion

expenditure

Gross

disposable

income

Other

current

transfers

Other

current

taxes on

income,

wealth,

etc.

Social

contrib-

utions for

workers

compen-

sation

Income

tax

payable

Other

property

income

payable

Consumer

debt

interestPe r i o d

HOUSEHOLD INCOME ACCOUNT, Uses of income7.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) Excludes public sector business units. Also excludes non–employing businesses and businesses with less than 20 employees. Excludes all businessesclassified to agriculture, forestry, fishing, hunting, non–bank finance, insurance, unit trusts, land trusts, mutual trusts and community services.

Source: Business Indicators, Australia, (cat. no. 5676.0)

–10.0–0.2–18.4–1.54.9–3.5–0.4–46.7–5.7March–10.4–15.7–22.1–5.64.1–2.12.0–30.1–4.5December–6.1–11.8–15.9–4.20.4–1.02.6–16.5–0.1September

2008–2009

25.1–0.6–0.4–4.6–3.30.41.4–1.1104.9June5.47.416.4–1.70.11.10.65.63.7March1.5–4.513.0–1.66.80.41.63.2–2.6December

2007–2008



2008–2009

43 6234 5115 1941 1342 3723 4951 8287 52917 559June34 8614 5395 2131 1892 4513 4811 8047 6138 571March33 0784 2264 4771 2102 4483 4431 7947 2128 268December32 5794 4233 9621 2292 2933 4311 7656 9918 484September

2007–2008

32 9294 8733 8191 2742 1093 3401 5986 9778 939June32 8604 9273 8811 2921 9903 2201 3846 8539 313March

2006–2007

TR E N D

–2.397.461.35.28.44.424.9–56.4–14.9March–20.4–44.4–57.4–6.38.2–14.2–24.6–33.7–5.6December

1.7–23.7–11.8–9.6–4.94.120.9–19.227.1September2008–2009

22.00.214.3–5.9–0.312.613.414.758.9June7.5103.27.819.5–4.0–16.7–21.6–7.011.6March

–0.1–53.518.2–27.67.015.616.715.18.5December2007–2008


33 3174 3283 4081 0452 6843 3072 0351 88814 623March34 0862 1932 1139932 4763 1681 6304 33317 181December42 8393 9444 9651 0602 2883 6922 1616 53718 192September

2008–2009

42 1165 1725 6321 1722 4063 5471 7878 08814 311June34 5315 1614 9271 2452 4153 1511 5767 0489 007March32 1172 5394 5711 0422 5163 7852 0127 5788 073December32 1395 4593 8671 4402 3523 2741 7236 5837 441September

2007–2008

33 8574 5233 5891 0932 0033 3351 6137 02310 677June32 4234 9754 1061 3651 9543 2911 3327 1768 223March

2006–2007


TotalOther

services

Property and

business

services

Transport

and

storage

Retail

trade

Wholesale

tradeConstructionManufacturingMiningPe r i od

COMPANY PROFITS BEFORE INCOME TAX (a) , By broad indust r y7.3 . . . . . . . . . . . . . . . . .



Source: Average Weekly Earnings, Australia, (cat. no. 6302.0)(a) Derived as annual average of average weekly earnings in thespecified pay period in each quarter.

3.95.04.25.04.95.55.75.06.3February4.24.74.75.34.85.95.54.86.1November3.54.53.84.74.55.24.74.65.1August

2008–20093.13.63.54.24.44.54.04.44.1May3.53.24.65.45.55.65.25.35.3February4.34.44.45.25.94.85.25.84.9November

2007–2008



2008–2009–0.2–0.20.10.60.30.90.60.30.9May1.61.71.61.31.41.31.41.51.4February0.20.70.10.80.90.80.50.80.4November

2007–2008


921.50732.001 112.201 229.201 065.701 327.301 183.401 049.401 263.70February909.50717.801 100.601 216.801 050.101 315.501 165.301 032.001 244.10November901.70711.001 090.801 200.801 037.601 296.701 151.401 021.201 228.00August

2008–2009885.00696.001 069.001 176.901 018.501 269.501 126.401 001.801 199.30May886.70697.101 067.801 170.301 015.601 258.501 119.90999.101 188.80February872.90685.301 051.201 155.801 001.701 242.401 104.70984.301 172.40November870.90680.201 050.501 147.00993.201 232.701 099.50976.101 168.20August

2007–2008858.00671.501 032.501 129.20975.501 215.201 083.00959.901 151.90May856.70675.701 020.901 110.00963.101 191.801 064.40948.801 128.90February

2006–2007

OR I G I N A L ($ PE R WE E K )

4.04.14.55.05.45.05.05.34.92007–084.64.74.93.33.13.63.73.14.02006–075.04.65.34.34.24.24.74.34.82005–06


878.90689.701 059.601 162.501 007.301 250.801 112.60990.301 182.202007–08845.50662.501 013.901 106.70955.801 190.801 060.10940.601 126.702006–07808.60632.90967.001 070.90927.201 149.801 022.60912.501 083.002005–06

AN N U A L AV E R A G E ($ PE R WE E K ) (a)

PersonsFemalesMalesPersonsFemalesMalesPersonsFemalesMales

ALL EMPLOYEESTOTAL EARNINGS

FULL—TIME ADULTTOTAL EARNINGS

FULL—TIME ADULTORDINARY TIME EARNINGS

Per i od

AVERAGE WEEKLY EARNINGS OF EMPLOYEES, Ful l—t ime adu l ts7.4 . . . . . . . . . . . . . . . .



Source: Labour Price Index, Australia, (cat. no. 6345.0)

1.21.01.01.10.91.11.11.51.41.1September2008–2009


2007–20080.80.70.40.90.60.71.20.60.91.2June

2006–2007


120.1118.4116.7119.8117.8118.9121.2120.1122.1120.5September2008–2009



2006–2007

QU A R T E R L Y (2 0 0 3 – 0 4 = 10 0 . 0 )

4.23.94.13.63.84.14.34.34.34.32007–084.03.53.04.03.74.04.04.04.34.22006–074.13.93.44.43.83.94.64.14.43.92005–06


117.1115.9114.6116.9115.7116.3118.0116.9118.2117.22007–08112.4111.6110.1112.8111.5111.7113.1112.1113.3112.42006–07108.1107.8106.9108.5107.5107.4108.8107.8108.6107.92005–06

AN N U A L (2 0 0 3 – 0 4 = 10 0 . 0 )

All

occup-

ations

Labourers

and

related

workers

Elem-

entary

clerical,

sales and

service

workers

Interm-

ediate

production

and

transport

workers

Interm-

ediate

clerical,

sales and

service

workers

Advanced

clerical

and

service

workers

Trades-

persons

and

related

workers

Associate

profess-

ionals

Profess-

ionals

Managers

and

administ-

ratorsPe r i od

TOTAL HOURLY RATES OF PAY INDEXES, By occupat ion —Exc lud ing bonuses7.5 . . . . .



(a) Average non–farm wages, salaries and supplements per wage and salary earner. Seasonally adjusted data.(b) Base for index: 2006–07 = 100.0.(c) Non–farm wages, salaries and supplements, plus payroll tax less employment subsidies plus fringe benefits tax

per hours worked by non–farm wage and salary earners.(d) Deflated by the Gross National Expenditure deflator.(e) Ratio of derived private non–farm corporate wages, salaries and supplements plus payroll tax less employment

subsidies, plus fringe benefits tax paid by the private non–farm corporate sector to derived private non–farmcorporate sector gross product at factor cost plus payroll tax less employment subsidies plus fringe benefits tax.

(f) Nominal unit labour costs (see footnote (g) deflated by the derived implicity price deflator for gross non–farmproduct.

(g) Ratio of nominal hourly labour costs to average hourly labour productivity (real gross non–farm product per hourworked by all employed persons).


109.399.599.5109.31 0591 140March108.799.299.2108.71 0751 148December108.497.797.7108.41 0781 139September

2008–2009106.098.098.0106.01 0671 115June104.9100.3100.3104.91 0581 097March102.099.599.5102.01 0561 085December102.4100.4100.4102.41 0631 081September

2007–2008101.9100.2100.2101.91 0641 072June100.4100.1100.1100.41 0491 051March

2006–2007

QU A R T E R L Y

103.899.699.6103.81 0611 0952007–08100.0100.0100.0100.01 0471 0462006–07

96.9101.3101.396.91 0371 0032005–06

AN N U A L AV E R A G E

Non–farm

sector

(nominal)(g)

Non–farm

sector

(real)(f)

Private

non–farm

corporate

sector

(real)(e)Real(d)Nominal

INDEXES OF AVERAGEUNIT LABOUR COSTS(b)

Hourly

labour costs

index(b)(c)

AVERAGE EARNINGS(NATIONAL ACCOUNTBASIS) (DOLLARSPER WEEK)(a)

Per i od

LABOUR COSTS7.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 8 F I N A N C I A L MA R K E T S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

126Credit market summary8.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .125Australian stock market indexes8.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .124Exchange rates8.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .123Key interest rates8.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .122Commercial and lease finance commitments8.4 . . . . . . . . . . . . . . . . . . . . .121Personal finance commitments8.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .120Secured housing finance commitments to individuals8.2 . . . . . . . . . . . . . . .119Financial aggregates8.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

TA B L E S


Source: Lending Finance, Australia, (cat. no. 5671.0)

Comm. fixed loan

Comm. revol. credit

Commercial total

Lease motor veh.

Lease other

Lease total

–40 –20 0 20 40%change

April 2009May 2009

COMMERCIAL AND LEASE FINANCE COMMITMENTS, (f rom Tab le 8.4)Change from prev ious month


New motor cars

Used motor cars

Household goods

Unsecured housing

Debt consolidation

Other fixed loans

Total fixed loans

Total credit limits

Used credit limits

–30 –20 –10 0 10 20% change

April 2009May 2009

PERSONAL FINANCE COMMITMENTS, (f rom Tab le 8.3) Change fromprev ious month

Source: Housing Finance, Australia, (cat. no. 5609.0)

May1997

May2000

May2003

May2006

May2009

'000

30

40

50

60


SECURED HOUSING FINANCE COMMITMENTS TO INDIV IDUALS, (f romTable 8.2)

GR A P H S


CH A P T E R 8 • F I N A N C I A L MA R K E T S

Source: Australian Stock Exchange

Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

index

0

2000

4000

6000

8000

10000S&P/ASX 200 IndustrialsS&P/ASX 200 ResourcesS&P/ASX 200

AUSTRAL IAN STOCK MARKET INDEXES, (f rom Tab le 8.7)


May1997

May2000

May2003

May2006

May2009

index

40

50

60

70

80

TRADE WEIGHTED INDEX, (f rom Tab le 8.6) —May 1970 = 100.0

Source: RBA Statistical Bulletin

Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

interest rate

2

4

6

8

10

1290–day bank billsLarge variable10 year treasury bonds

KEY INTEREST RATES, (f rom Tab le 8.5)GR A P H S continued



Source: Australian National Accounts: Financial Accounts, (cat. no. 5232.0)

Private

National

State and local

National

State and local

Households

–5 0 5 10 15 20$billion

DEMAND FOR CREDIT BY, (f rom Tab le 8.8) Non–f inanc ia l domest i csector —March Quar te r 2009

Source: Australian National Accounts: Financial Accounts, (cat. no. 5232.0)

Private

National

State and local

National

State and local

Households

0 500 1000 1500 2000$billion

CREDIT MARKET OUTSTANDING, (f rom Tab le 8.8) Non–f inanc ia ldomest ic secto r —March Quar te r 2009




na not available(a) Excludes Commonwealth and State Government and interbank deposits but includes deposits of the non-bank sector with the Reserve Bank.(b) Currency plus bank deposits (including certificate of deposit with trading banks) of the private non–bank sector.(c) Borrowings (other than from banks and related corporations) by permanent building societies, credit co–operatives, finance companies, authorised money

market dealers, pastoral finance companies, money market corporations, general financiers and cash management trusts; less borrowings by authorisedmoney market dealers from those non–bank intermediaries. Breaks occur from time to time due to changes in number of reporting corporations.

(d) M3 plus borrowing from private sector by non–bank financial intermediaries less the latter’s holding of currency and bank deposits.(e) Holdings of notes and coin by private sector, plus deposits of banks with the Reserve Bank and Reserve Bank Liabilities to the private non–bank sector.(f) Loans and advances of those financial intermediaries whose deposit liabilities are included in broad money.(g) Bills outstanding under acceptance and endorsement commitments by banks.(h) Credit is equal to bank bills outstanding plus loans and advances by financial intermediaries whose liabilities are included in broad money.Source: Reserve Bank of Australia Bulletin (RBA).

1 744.8nanana1 246.372.81 173.5929.5198.845.2May1 740.7nanana1 237.776.41 161.3922.2193.845.3April1 734.9nanana1 232.480.11 152.3912.5195.444.4March1 724.4nanana1 221.372.11 149.2907.2197.144.9February1 715.9nanana1 205.472.51 132.9891.5196.944.5January1 705.9nanana1 184.466.21 118.2874.6199.644.0December1 708.8nanana1 189.269.91 119.3877.1199.143.1November1 703.1nanana1 177.974.41 103.5861.3199.342.9October1 688.2nanana1 167.375.71 091.6853.3197.840.5September1 663.1nanana1 150.076.91 073.1839.2193.040.9August1 652.1nanana1 143.082.71 060.3826.2193.640.5July

2008–20091 641.1nanana1 124.988.61 036.3806.9189.440.0June1 619.9nanana1 104.690.71 013.9794.0179.840.1May1 604.4nanana1 095.085.61 009.4788.9181.039.5April1 589.3nanana1 088.986.81 002.1778.9183.739.5March

2007–2008


1 740.1149.31 590.853.11 233.873.81 160.0916.0199.344.7May1 736.6148.71 587.954.71 227.974.01 153.9914.8194.045.1April1 732.0149.31 582.756.91 227.980.31 147.6907.8195.744.1March1 726.9148.51 578.461.41 222.969.91 153.0910.9197.344.8February1 721.9147.81 574.064.51 213.872.81 141.0899.6196.844.6January1 715.7147.51 568.273.61 196.962.31 134.6891.0198.545.1December1 716.0145.91 570.268.51 192.569.11 123.4881.3198.743.4November1 703.1144.81 558.363.51 180.874.71 106.1863.9199.442.8October1 683.7142.91 540.850.51 172.579.31 093.2855.0197.540.7September1 661.8142.71 519.147.71 151.681.11 070.5836.6193.140.8August1 645.7142.51 503.247.21 138.385.11 053.2819.2193.740.3July

2008–20091 640.4141.21 499.246.51 120.686.31 034.3799.2195.339.8June1 615.9140.31 475.646.81 096.091.41 004.6788.3176.639.7May1 601.3139.01 462.348.31 087.184.11 003.0786.0177.739.3April1 586.3137.21 449.149.01 085.187.0998.1777.4181.439.3March

2007–2008

1 640.4141.21 499.246.51 120.686.31 034.3799.2195.339.82007–081 386.4124.51 261.943.7962.594.5868.0642.0188.137.92006–071 217.6105.11 112.541.3841.293.9747.3553.1158.635.62005–06

OR I G I N A L

OtherCurrent

Totalcredit(h)

Bank bills

outstand-

ing(g)Loans and

advances(f)Money

base(e)Broad

money(d)

Net

NBFI

borrow-

ings(c)M3(b)

DEPOSITS WITHBANKS(a)

CurrencyPe r i od

FINANCIAL AGGREGATES ($ BILL ION)8.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Housing Finance, Australia, (cat. no. 5609.0)(a) Seasonally adjusted data not available. Original data provided.

8.22.32.21.81.52.62.97.08.0May–10.72.31.82.41.7–0.8–0.52.13.4April10.77.44.96.63.810.98.214.713.9March25.55.23.35.02.76.24.26.58.9February

–13.84.54.74.54.81.51.56.64.7January1.07.16.56.75.811.614.09.210.4December

–4.52.32.22.12.111.59.10.30.3November15.05.03.95.24.16.47.01.9–0.1October

7.2–2.3–3.1–3.0–3.67.93.60.50.6September2008–2009


51617 04563 85514 72054 8547752 6671 5506 334May47716 66362 48314 45954 0257552 5921 4495 866April53416 29461 40514 11453 1267622 6061 4195 673March48215 16758 55713 24351 1666872 4091 2374 981February38414 41956 69712 61149 8106472 3121 1614 575January44613 79754 17812 07147 5326372 2781 0904 368December44212 88650 86911 31744 9155711 9979983 956November46312 59549 77411 08844 0005121 8319953 943October40211 99647 92110 53842 2644811 7119773 946September37512 27949 43110 86143 8584461 6519723 922August41612 31449 95810 84944 2474731 7099924 001July

2008–200940412 39450 53610 85544 6505091 7781 0314 108June45612 50851 72411 00345 7774471 6671 0594 281May42613 03455 31511 42148 9254931 8811 1204 509April41413 85158 22412 25351 7534921 9491 1074 521March

2007–2008


–5.90.3–4.90.8–4.8–14.3–17.44.61.52007–080.710.66.010.56.112.69.39.52.92006–07

–3.616.612.516.913.036.227.73.50.32005–06


5 268174 566733 596153 313649 8397 57328 21413 68055 5432007–085 596174 039771 382152 120682 4858 84134 16713 07854 7302006–075 555157 415727 634137 616643 1817 85031 25311 94853 2002005–06

AN N U A L

$

million

Dwellings

units

$

million

Dwellings

units

$

million

Dwellings

units

$

million

Dwellings

units

Alterations

and

additions

$

million(a)

TOTAL

PURCHASE OFESTABLISHEDDWELLINGS

PURCHASE OFNEWLY ERECTEDDWELLINGS

CONSTRUCTIONOF DWELLINGS

Per i od

SECURED HOUSING FINANCE COMMITMENTS TO INDIV IDUALS8.2 . . . . . . . . . . . . . . . . . .




0.00.3–6.39.511.412.810.13.01.70.31.20.4May–0.30.6–6.5–9.0–8.4–6.6–23.3–10.6–11.2–11.1–14.4–14.6April–0.20.37.312.121.77.625.93.56.13.93.11.9March0.50.2–2.29.116.510.216.212.9–4.2–2.8–0.9–2.4February

–0.50.4–12.3–10.7–12.4–12.7–19.5–13.9–1.20.4–8.8–4.5January0.20.610.215.811.919.07.117.912.38.524.320.4December0.30.2–9.1–13.3–11.3–11.7–14.0–11.9–17.6–18.3–19.7–18.4November0.70.65.22.3–3.510.43.118.9–2.5–1.20.31.3October0.40.810.93.70.25.217.0–1.06.24.78.26.8September

2008–2009


116 784272 8623 0153 0561 2301 102339935018 9022439 536May116 759272 0183 2172 7911 104977309634418 8492409 502April117 052270 4993 4413 0651 2051 0463910738721 20628011 120March117 259269 5783 2082 7349909723110436520 41727210 915February116 677269 0883 2802 506850882279238121 01527411 184January117 247268 0253 7412 8079701 0113310738620 92530011 710December117 023266 5043 3932 423867849319134319 2772429 729November116 668266 0093 7332 7969789623610341723 59630111 916October115 860264 5143 5472 7331 013871358642723 88030011 766September115 345262 5133 1992 6371 012828308740222 80927711 012August115 084260 9674 0732 9871 149968379642723 91531012 259July

2008–2009115 233259 8794 0823 2131 2401 0903410140922 53234013 071June113 075257 8073 7272 9121 109923378943123 94132312 476May112 439255 9723 7723 0811 1581 0293410343223 86232512 419April111 573254 1583 3193 0171 0891 065339841122 61832112 204March

2007–2008

MO N T H L Y

4.510.64.31.70.21.6–12.20.40.05.03.46.22007–085.77.84.19.515.010.310.58.8–5.9–2.95.26.22006–077.08.33.90.8–0.312.8–12.00.9–13.4–9.6–6.3–8.32005–06


1 337 7473 004 87544 78237 57314 41812 2494341 1925 290293 6293 988152 9562007–081 280 6242 715 90042 91736 92914 39112 0614941 1875 040293 4963 756147 9652006–071 211 2552 520 50141 23433 71512 51010 9394471 0915 191311 9093 537140 6182005–06

AN N U A L

$m$m$m$m$m$m$m$m$mno.$mno.

Credit

used

at

end of

period

Total

credit

limits

at

end of

period

New and

increased

credit

limits

during

periodTotal

Other

pers-

onal

Debt

con-

solid-

ation

and

refin-

ancing

Unse-

cured

loans

for

owner

occup-

ation

House-

hold

and

pers-

onal

goods

Used

motor

cars

and

station

wagons

Used

motor

cars

and

station

wagons

New

motor

cars

and

station

wagons

New

motor

cars

and

station

wagons

REVOLVING CREDIT FACILITIESFIXED LOANS FOR —

Per i od

PERSONAL FINANCE COMMITMENTS8.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .




10.9–11.3–1.327.27.437.4May–25.8–32.8–16.2–24.0–14.3–28.2April22.139.83.832.39.145.7March11.113.88.5–10.2–23.3–0.5February

–40.3–44.8–35.0–27.4–19.4–32.4January28.948.811.621.859.06.2December

–15.48.6–11.5–20.5–28.3–16.8November9.2–14.74.210.95.313.8October

–3.5–9.11.86.8–7.215.9September2008–2009


40217017027 9738 03019 944May36319117221 9927 47914 513April48928420528 9458 72420 221March40120319721 8767 99513 882February36117918224 37010 42613 945January60432428033 56012 93320 627December46821825127 5468 13219 414November55420028334 66011 33523 325October50723527231 25810 76320 496September52525826729 27911 59717 682August57926131933 87712 08021 797July

2008–200975427831539 38613 59525 791June56626030634 52011 21423 305May55824131628 8519 38019 471April54628725932 20311 90120 302March

2007–2008


10.93.114.46.9–6.315.32007–08–7.6–9.7–5.223.040.413.92006–078.617.6–0.719.614.622.32005–06


7 0123 4893 363486 600166 518320 0832007–086 3253 3852 940455 173177 637277 5362006–076 8483 7473 102370 122126 524243 5972005–06


TotalOther

Motor

vehiclesTotal

Revolving

credit

facilities

Fixed

loan

facilities

LEASECOMMERCIAL

Per i od

COMMERCIAL AND LEASE FINANCE COMMITMENTS8.4 . . . . . . . . . . . . . . . . . . . . . . . . . . .



(c) The interbank cash rate is the interest rate which banks pay or chargeto borrow funds from or lend funds to other banks on an overnightunsecured basis.

(d) Standard variable rate loans of large bank housing lenders.Source: Reserve Bank of Australia Bulletin (RBA)

(a) All data are end of period unless otherwise specified.(b) Data are an average of the assessed daily market yields for the week

ended the last Wednesday of the month.

5.525.234.632.955.809.408.803.003.553.25June5.284.664.012.895.759.408.803.003.253.13May4.574.003.462.775.759.408.803.063.053.10April4.413.893.372.785.859.508.953.253.003.16March4.403.733.212.635.859.508.953.353.403.16February4.103.272.843.196.8510.509.954.253.553.74January3.993.513.213.696.8510.509.954.353.754.39December4.583.973.674.297.7511.4510.755.333.754.76November5.184.764.555.278.3511.5510.956.185.156.03October5.405.205.106.709.3512.0511.457.027.007.27September5.755.695.656.969.6012.2511.607.257.257.31August6.236.166.177.329.6012.2511.607.258.257.75July

2008–20096.456.576.717.379.4512.1011.457.257.607.81June6.536.596.737.359.4512.0011.357.257.157.75May6.296.276.407.339.4511.9511.357.257.607.84April

2007–2008

MO N T H L Y

5.525.234.632.955.809.408.803.003.553.252008–096.456.576.717.379.4512.1011.457.257.607.812007–086.266.406.456.378.0510.359.856.255.906.422006–07

AN N U A L

10 year

treasury

bonds

5 year

treasury

bonds

3 year

treasury

bonds

Overnight

indexed

swaps 3

months

Small

variable

Large

variable

COMMONWEALTH GOVERNMENT SECURITIES

Housing

loans -

banks(d)

BANKS' BUSINESSOVERDRAFTS

Interbank

cash

market(c)

Fixed

bank

deposits

$10,000

12

months

90–day

bank

bills(b)Per i od

KEY INTEREST RATES (a)8.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) Rates are period average exchange rates.(b) On January 1, 1999 eleven European Union nations launched the Euro, a single currency

giving control of interest rate and exchange rate policy to the European Central Bank. TheEuro was immediately available for electronic financial and business transactions, but Eurocoins and notes were not issued to the general public until January 2002.The participatingnations are Austria, Belgium, Finland, France, Germany, Ireland, Italy, Luxembourg, theNetherlands, Portugal and Spain. Greece adopted the Euro on 1 January 2001 and Britain,Denmark and Sweden chose not to adopt the Euro.

(c) May 1970 = 100.0Source: International Trade in Goods and Services, Australia, (cat. no. 5368.0)

4.45.25.03.72.27.1May5.56.58.26.03.57.2April3.32.78.30.43.92.4March

–2.2–2.5–2.3–0.4–3.7–4.3February1.51.60.62.54.41.4January0.4–0.3–4.0–3.54.72.0December

–3.0–2.7–8.2–0.35.1–4.9November–13.6–13.8–20.9–9.2–10.7–16.0October

–5.4–5.1–9.2–3.2–2.4–6.9September2008–2009


61.70.502273.720.55960.49540.7626May59.10.477370.240.53980.48460.7122April56.00.448364.920.50930.46800.6646March54.20.436459.970.50740.45030.6490February55.40.447861.370.50950.46780.6784January54.60.440761.020.49730.44800.6690December54.40.442163.550.51550.42790.6557November56.10.454269.200.51730.40700.6894October64.90.527187.490.57000.45580.8205September68.60.555596.330.58900.46680.8810August73.30.5898102.710.61020.48400.9625July

2008–200972.80.5882101.750.61160.48400.9508June72.20.584598.900.60980.48280.9491May70.00.567895.300.58990.46950.9298April69.80.567993.360.59640.46220.9260March

2007–2008

MO N T H L Y PE R ($ A )

69.70.566498.630.60990.44790.89682007–0864.80.525193.210.60180.40660.78632006–0763.30.514785.900.61430.42050.74742005–06

AN N U A L PE R ($ A )

Trade

Weighted

Index(c)

Special

Drawing

Right

Japanese

YenEuro(b)

United

Kingdom

Pound

United

States

DollarPe r i od

EXCHANGE RATES (a)8.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) 31 December 1979 = 1,000(b) Share prices on joint trading floors. Monthly figures are average of daily figures for the month. Annual index is from the last month of the

year. The annual high (low) is the highest (lowest) of the year.Source: Australian Stock Exchange ASX

27 0543 9554 4925 3319 6293 793.04 061.53 931.8June26 0123 8184 4835 0719 0383 710.83 919.63 808.3May25 6643 7814 2205 1348 9703 527.23 744.73 664.7April24 3103 5824 0474 8408 8803 111.73 615.63 338.4March22 5133 3453 7074 5567 7223 281.53 496.73 388.0February23 5923 5413 7544 9127 4873 300.33 728.23 535.0January24 8013 7223 8185 2318 2443 427.23 659.33 523.9December24 8703 7433 7545 3048 6093 332.64 287.33 750.4November26 5154 0183 8265 80310 0923 755.44 814.54 154.5October30 3394 6014 6956 47110 5564 631.35 200.04 945.6September33 6525 1365 9816 81710 6194 882.05 215.55 032.7August32 3304 9775 8696 56810 1054 910.15 261.15 056.0July

2008–200933 8755 2156 6306 61810 3785 332.95 781.25 513.5June36 6055 6556 6477 47211 8915 652.76 035.05 853.8May36 0555 5956 1747 61511 8705 410.95 711.45 588.4April

2007–2008

OR I G I N A L ( 3 1 DE C 19 7 9 = 50 0 ) UN L E S S FO O T N O T E D

27 0543 9554 4925 3319 6293 111.75 261.13 931.82008–0933 8755 2156 6306 61810 3785 163.86 853.65 513.52007–0839 1196 2755 2959 42414 7714 881.36 421.06 337.62006–07

AN N U A L (3 1 DE C 19 7 9 = 50 0 ) UN L E S S FO O T N O T E D

LowHighIndex(b)

S&P/ASX 200

Accumulation

Index(a)S&P/ASX

200

S&P/ASX

200

Resources

S&P/ASX

200

Industrials

S&P/ASX

200

Banks

ALL ORDINARIES

Per i od

AUSTRAL IAN STOCK MARKET INDEXES8.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Australian National Accounts: Financial Accounts, (cat. no. 5232.0)(a) These estimates are considered to be of poor quality. They should beused with caution.

14.311.19.229.721.232.119.5102.6124.0Loans and placements0.80.4–0.30.90.81.30.43.44.5Bills of exchange

15.011.58.830.622.033.519.9105.9128.4Households

0.83.10.94.50.4–1.13.77.60.3State and local general

government

–0.10.10.2–0.1–0.10.20.00.0–0.2Loans and placements0.00.0–3.01.80.8–1.30.71.9–1.7Bonds etc.3.40.00.00.00.00.00.00.00.0One name paper3.50.2–2.81.70.7–1.10.62.0–1.8National general government

4.68.19.33.82.83.8–0.59.92.9Loans and placements4.68.19.33.82.83.9–0.59.92.9

State and local publicnon–financial corporations

0.00.00.00.00.00.00.00.015.5Shares and other equity(a)–0.10.00.0–0.50.00.0–0.1–0.6–0.3Loans and placements0.00.00.00.00.0–0.20.0–0.1–0.4Bonds etc.0.00.00.00.00.00.00.00.01.0One name paper0.00.00.00.00.00.00.00.00.0Bills of exchange0.0–0.1–0.1–0.40.0–0.1–0.1–0.715.9

National publicnon–financial corporations

18.120.218.012.311.011.911.246.564.1Shares and other equity(a)–15.011.725.6–8.322.421.448.183.671.3Loans and placements

6.611.4–1.17.73.5–6.84.89.213.6Bonds etc.–0.3–4.30.3–1.31.80.3–0.10.8–2.2One name paper1.04.22.33.13.04.13.513.614.2Drawings of bills of exchange

10.343.345.013.641.830.967.5153.8160.9Private non–financial

corporations

of:

34.266.261.253.867.765.991.2278.6306.6

Total funds raised onconventional credit marketsby non–financialdomestic sectors

NE T TR A N S A C T I O N S DU R I N G PE R I O D

1 299.21 284.11 272.61 266.31 222.71 200.61 167.21 266.31 147.3Households54.954.050.849.937.136.737.849.934.1

State and local generalgovernment

70.064.061.160.960.058.560.060.957.9National general government82.077.469.259.956.253.349.559.950.0

State and local publicnon–financial corporations

1.01.01.11.21.61.61.81.21.9National public non–financial

corporations

1 760.81 773.81 913.22 045.02 013.32 122.42 102.52 045.01 982.1Private non–financial

corporations

of:

3 267.83 254.33 368.03 483.23 390.93 473.33 418.83 483.23 273.3

Total debt and equityoutstandings of thenon–financial domesticsectors

AM O U N T S OU T S T A N D I N G AT EN D OF PE R I O D

MarDecSepJunMarDecSep

2008–092007–08

2007–082006–07

CREDIT MARKET SUMMARY ($ BILL ION)8.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



CHAP T E R 9 ST A T E CO M P A R I S O N S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

144Total hourly rates of pay indexes, Excluding bonuses9.14 . . . . . . . . . . . . . . .142Secured housing finance commitments to individuals, Number and value9.13 . . .141Total job vacancies9.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .140Average weekly total earnings of employees, All employees9.11 . . . . . . . . . . .139Unemployment rate, Persons9.10 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .138Employed persons9.9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .137Consumer price index, All groups9.8 . . . . . . . . . . . . . . . . . . . . . . . . . . .135Building approvals, Number and value9.7 . . . . . . . . . . . . . . . . . . . . . . . .134New motor vehicle sales, Total9.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .133Total private new capital expenditure9.5 . . . . . . . . . . . . . . . . . . . . . . . . .132Retail turnover9.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .131Gross state product and state final demand, Chain volume measures9.3 . . . . .130Estimated resident population9.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .128State summary9.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

TA B L E S


(b) The trend series has been suspended as at November 2008. Refer tothe December 2008 issue of Retail Trade, Australia, (cat. no. 8501.0)or details.

(c) Extreme care should be exercised in using the seasonally adjustedseries for Private new capital expenditure for Northern Territory and theAustralian Capital Territory. The highly erratic nature of this data makesreliable estimation of the seasonal pattern very difficult.


(a) The latest quarterly estimate of Australian resident population is shownin Table 9.2. This estimation has been used to calculate ratios forsubsequent periods.

817892635500986742839731858May 2009 (M)

Housing finance commitments($) (original)

1111371171251979511213865May 2009 (M)

Res. building approvals ($)(original)

0.4890.8240.4690.5040.7010.6040.4930.6660.242May 2009 (M)

Res. building approvals (no.per ’000 population) (trend)

npnpnpnpnpnpnpnpnpJune 2009 (M)

Registration of new motorvehicles (no. per ’000population) (trend)

1 1394472 4425203 3018201 265795777March Quarter 2009 (Q)

Private new capitalexpenditure ($) (seasonallyadjusted)(c)

npnpnpnpnpnpnpnpnpMay 2009 (M)

Retail turnover ($) (trend)(b)

2 4932 9792 7752 4162 6992 3662 5222 5152 397March Quarter 2009 (Q)

Retail turnover ($) (Chainvolume measures)(seasonally adjusted)

13.027.018.011.315.711.912.912.212.3March Quarter 2009 (Q)

Final demand ($’000) (Chainvolume measures)(seasonally adjusted)

SE L E C T E D IN D I C A T O R S PE R HE A D OF PO P U L A T I O N (a)

921.501 142.70953.00789.201 037.20842.70903.70896.10924.70February 2009 (Q)

Average weekly total earnings($) (original)

5.83.63.95.35.25.55.46.06.6June 2009 (M)

Unemployment rate (%)(trend)

65.471.976.161.169.163.667.564.463.7June 2009 (M)

Labour force Participation rate(%) (trend)

SE L E C T E D IN D I C A T O R S

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South

AustraliaQueenslandVictoria

New

South

WalesPe r i od

STATE SUMMARY9.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .


CH A P T E R 9 • S T A T E CO M P A R I S O N S

(b) Extreme care should be exercised in using the seasonally adjustedseries for Private new capital expenditure for Northern Territory and theAustralian Capital Territory. The highly erratic nature of this data makesreliable estimation of the seasonal pattern very difficult.


(a) The trend series has been suspended as at November 2008. Refer tothe December 2008 issue of Retail Trade, Australia, (cat. no. 8501.0)or details.

0.71.11.11.10.80.71.00.70.8March Quarter 2009 (Q)

Total hourly rates of payindexes, excluding bonuses(original)

7.72.2–3.28.211.37.63.110.78.0May 2009 (M)

Housing finance commitments(original)

1.31.72.21.41.1–0.61.91.80.9February 2009 (Q)

Average weekly total earnings(original)

0.10.20.00.10.2–0.10.20.10.1June 2009 (M)

Unemployment rate(percentage points) (trend)

0.0–0.10.3–0.20.00.0–0.10.00.0June 2009 (M)

Labour force participation rate(percentage points) (trend)

0.50.61.10.50.80.60.60.30.4June Quarter 2009 (M)

Consumer Price Index(original)

–2.2–21.8–29.848.320.3–14.1–14.11.8–6.6May 2009 (M)

Res. building approvals– value(original)

1.310.92.72.21.8–0.12.70.30.5May 2009 (M)

Res. building approvals–number (trend)

npnpnpnpnpnpnpnpnpMay 2009 (Q)

Registration of new motorvehicles (trend)

–6.9–11.424.4–21.3–8.110.8–9.8–10.0–2.1March Quarter 2009 (Q)

Private new capitalexpenditure (seasonallyadjusted)(b)

npnpnpnpnpnpnpnpnpMay 2009 (M)

Retail turnover (trend)(a)

1.01.43.50.10.80.00.40.02.5March Quarter 2009 (Q)

Retail turnover (Chain volumemeasures) (seasonallyadjusted)

–1.00.0–9.2–2.5–2.32.0–3.1–2.1–0.2March Quarter 2009 (Q)

Final demand (Chain volumemeasures) (seasonallyadjusted)

PE R C E N T A G E CH A N G E FR O M PR E V I O U S PE R I O D

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

STATE SUMMARY co n t i n u e d9.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Australian Demographic Statistics, Australia,

(cat. no. 3101.0)(a) Includes Other Territories from September 1993

21 644.0347.8221.7500.32 204.01 612.04 349.55 364.87 041.4December21 542.5346.4221.1498.92 188.51 607.74 320.15 340.37 017.1September

2008–200921 431.8345.6219.8497.52 171.21 603.44 293.95 313.86 984.2June21 340.1343.9218.2496.82 156.71 599.64 267.75 290.76 964.0March21 237.9342.1217.4495.42 138.11 593.54 242.85 262.46 943.9December21 153.2341.5216.3494.32 125.91 589.74 215.05 243.36 924.8September

2007–200821 072.5341.1214.8493.22 113.01 585.84 196.05 221.36 904.9June20 988.5339.1213.5492.72 101.01 582.44 169.15 201.36 887.0March20 873.7337.1212.3491.82 084.71 576.54 139.75 170.66 858.6December

2006–2007

QU A R T E R L Y ( ' 0 0 0 ) — O R I G I N A L

21 431.8345.6219.8497.52 171.21 603.44 293.95 313.86 984.22007–0821 072.5341.1214.8493.22 113.01 585.84 196.05 221.36 904.92006–0720 697.9334.1210.6490.02 059.41 567.94 090.95 126.56 816.12005–06

AN N U A L ( ' 0 0 0 ) — O R I G I N A L

Australia(a)

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

ESTIMATED RESIDENT POPULAT ION9.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Australian National Accounts: National Income, Expenditure

and Product, (cat. no. 5206.0) and Australian National

Accounts: State Accounts, (cat. no. 5220.0)

(a) Reference year 2006–07.

–1.00.0–9.2–2.5–2.32.0–3.1–2.1–0.2March0.0–1.51.31.41.1–1.7–0.72.0–0.4December0.6–0.55.50.41.23.30.6–1.30.8September

2008–20090.91.33.43.62.91.11.51.50.2June1.4–0.21.70.61.71.01.80.60.7March1.51.02.32.10.91.52.51.61.7December

2007–2008

ST A T E F I N A L DE M A N D , SE A S O N A L L Y AD J U S T E D — PE R C E N T A G E CH A N G E FR O M PR E V I O U SQU A R T E R



2007–2008270 0979 4613 7175 39232 14518 06254 64563 42083 494June266 4179 3363 8215 29830 96517 94953 27062 93682 185March

2006–2007

ST A T E F I N A L DE M A N D , QU A R T E R L Y — SE A S O N A L L Y AD J U S T E D ($ M I L L I O N )

1 112 05637 89615 82122 079134 26272 941225 900261 567341 2172007–081 055 81937 07315 08720 934122 51271 433211 002250 787326 9932006–071 012 98933 59414 78120 965112 74969 475196 239245 148319 8862005–06

ST A T E F I N A L DE M A N D , AN N U A L ($ M I L L I O N )

1 084 14622 28714 55520 907146 44470 922209 050255 705345 3362007–081 045 67421 73414 01420 221139 24768 327198 514247 789335 8282006–071 012 26920 98313 32519 785129 99667 896189 502241 242329 5782005–06

GR O S S ST A T E PR O D U C T , AN N U A L ($ M I L L I O N )

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

GROSS STATE PRODUCT AND STATE FINAL DEMAND, Cha in volume measures(a)9.3 .



Source: Retail Trade, Australia, (cat. no. 8501.0) and Retail Trade

Quarterly Indicators, Australia, (cat. no. 8502.0)na not available(a) Reference year 2006-07.

nananananananananaMaynananananananananaAprilnananananananananaMarchnananananananananaFebruarynananananananananaJanuarynananananananananaDecember

0.10.51.10.5–0.50.10.20.6–0.1November0.20.31.20.6–0.40.20.30.6–0.1October0.20.21.30.6–0.20.30.40.6–0.2September

2008–2009


nananananananananaMaynananananananananaAprilnananananananananaMarchnananananananananaFebruarynananananananananaJanuarynananananananananaDecember

18 423.1351.9207.3416.42 055.41 337.13 827.54 626.95 600.6November18 398.3350.3205.0414.32 064.81 336.43 820.44 601.15 606.0October18 367.5349.2202.6412.02 072.11 333.93 809.94 573.85 614.0September18 333.1348.5200.1409.52 076.71 330.03 796.24 546.55 625.6August18 292.4348.7197.5406.62 076.51 323.53 778.54 520.25 640.9July

2008–200918 245.9350.1194.8403.32 068.71 314.33 758.14 498.05 658.6June18 200.4352.1192.3399.72 053.01 303.63 737.44 485.25 677.1May18 165.7353.7190.4396.22 034.51 292.63 720.84 484.05 693.9April18 145.1354.1189.3393.52 019.01 282.63 711.44 490.15 705.5March

2007–2008

MO N T H L Y — T R E N D ($ M I L L I O N )

53 959.11 036.2615.11 208.95 948.73 814.010 968.113 493.116 874.9March53 414.51 022.3594.41 208.15 901.43 812.710 922.813 491.216 461.6December53 099.7992.7576.61 187.16 036.33 846.710 958.713 230.016 271.7September

2008–200952 845.61 023.0556.91 170.65 946.43 769.310 754.313 033.416 591.7June53 130.01 030.5547.01 146.05 852.83 725.710 826.713 221.616 779.8March53 255.51 026.1547.61 152.05 931.13 645.910 867.013 181.116 904.8December52 711.51 023.8525.41 151.95 914.43 564.510 744.312 964.816 822.4September

2007–200851 578.81 027.4515.31 140.65 848.23 524.010 457.312 717.016 350.5June51 371.91 016.6511.01 120.95 844.23 532.010 232.412 802.316 312.4March

2006–2007

QU A R T E R L Y — S E A S O N A L L Y AD J U S T E D - CH A I N VO L U M E ME A S U R E ($ M I L L I O N )

211 942.64 103.42 176.94 620.523 644.714 705.443 192.352 400.867 098.72007–08202 891.94 011.92 014.84 474.822 794.313 889.740 589.150 772.164 344.72006–07193 934.13 799.21 857.74 394.620 963.313 254.638 561.649 013.062 091.42005–06

AN N U A L — C H A I N VO L U M E ME A S U R E S ($ M I L L I O N ) (a)

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

RETA IL TURNOVER9.4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Private New Capital Expenditure and Expected

Expenditure, Australia, (cat. no. 5625.0)(a) Estimates for Australian Capital Territory and Northern

Territory are not available separately, but are includedin the Australian total.

–6.9–21.3–8.110.8–9.8–10.0–2.1March9.313.18.2–19.217.715.25.3December4.9–15.817.820.29.5–4.3–3.6September

2008–20095.640.51.5–15.36.65.24.6June3.8–10.210.718.98.9–3.63.9March3.732.34.21.92.71.26.1December

2007–2008




2007–200821 0862305 4811 3064 1464 1434 956June20 1782375 1961 2543 8684 3154 580March

2006–2007

QU A R T E R L Y — SE A S O N A L L Y AD J U S T E D ($ M I L L I O N )

86 4781 09423 1915 04617 22016 83820 6632007–0877 55283419 7174 92715 31916 36917 6042006–0772 6411 15116 4714 55313 52215 48118 5852005–06


Australia(a)Tasmania

Western

Australia

South


New

South

WalesPe r i od

TOTAL PRIVATE NEW CAPITAL EXPENDITURE9.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



np not available for publication but included in totals where applicable, unless otherwise indicated(a) Original sales data are provided by the Federal Chamber of Automotive Industries and sourced from VFACTS.(b) Extreme care should be exercised in using the seasonally adjusted series for the number of new motor vehicles sales in Tasmania, the Northern Territory

and the Australian Capital Territory. The highly erratic nature of this data makes reliable estimation of the seasonal pattern very difficult.Source: Sales of New Motor Vehicles, (Electronic Publication), (cat. no. 9314.0.55.001)

npnpnpnpnpnpnpnpnpJunenpnpnpnpnpnpnpnpnpMay

73 1901 2357131 4428 1844 66515 40119 24322 307April73 0741 2297191 4268 1964 65115 35619 18822 309March73 3881 2267341 4128 2564 67715 40819 26622 409February74 2191 2247551 4028 3894 75515 57419 48522 635January75 4761 2207821 4128 6064 87215 82519 80622 954December77 0091 2138111 4448 8735 00616 13520 19623 330November78 5381 2098361 4839 1315 12616 41820 61023 727October80 0711 2118511 5249 3565 22116 71121 06724 130September81 8101 2268651 5669 5665 29517 10321 61224 576August83 7521 2558841 6009 7595 35117 61722 21025 076July

2008–200985 7181 2909061 6269 9335 41018 15922 78725 608June87 4881 3269261 64110 0935 46418 65623 24726 135May88 9821 3559371 65410 2395 50919 10823 55426 625April

2007–2008

MO N T H L Y — TR E N D

80 3301 3807391 5428 9475 10117 13121 21224 277June76 0281 2247551 4608 3154 89115 91020 14123 333May72 1491 2437201 3818 0184 54015 30718 63722 302April70 3651 1596201 4607 9764 61914 46718 52221 542March72 9011 2537511 3868 3054 41315 47218 91522 405February75 5991 2437581 4398 5004 86715 86020 08922 843January76 5691 2538261 3878 5554 96616 15320 28623 141December75 2611 2078151 4548 5694 96115 61019 54123 104November79 7251 1988001 4159 4085 18716 79321 04123 883October79 9961 1808351 4569 4145 21916 76120 81124 319September80 8491 2088991 7779 6375 24816 77421 20824 098August83 6921 2859161 5939 7405 31217 56622 25625 025July

2008–200986 5341 2988661 5339 7185 53418 31923 28025 986June86 5881 3088831 54410 0155 42717 99123 26026 160May89 7751 3399251 81010 3945 42220 28723 40726 191April

2007–2008

MO N T H L Y — SE A S O N A L L Y AD J U S T E D

924 69314 8829 38017 677105 33359 406194 080243 378280 5572008–091 068 30116 54610 46519 972122 51464 561233 682276 891323 6702007–081 003 88215 5949 67518 808117 15860 752223 441252 521305 9332006–07

AN N U A L

Australia

Australian

Capital

Territory(b)Northern

Territory(b)Tasmania(b)Western

Australia

South


New

South

WalesPe r i od

NEW MOTOR VEHICLE SALES (a) , Tota l9.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) Extreme care should be exercised in using the trend series for number of building approvals in the Northern Territory and the Australian Capital Territory.The highly erratic nature of these data makes reliable estimation of the trend very difficult.


1.310.92.72.21.8–0.12.70.30.5May1.211.55.31.71.10.92.00.9–0.6April1.412.56.00.81.61.31.12.0–1.2March0.910.44.90.11.51.2–1.33.1–2.3February

–0.67.94.1–1.20.00.1–4.93.0–3.6January–2.9–2.04.7–2.9–2.4–1.8–7.60.8–4.6December–4.7–11.06.3–2.9–4.5–4.1–7.9–2.1–5.3November–5.4–12.88.0–2.0–5.3–5.6–7.6–3.8–5.2October–4.6–8.311.7–0.8–4.8–4.9–6.3–3.3–4.6September

2008–2009

PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H — TR E N D

10 5772871042521 5449742 1423 5721 702May10 4412581012471 5179762 0863 5621 694April10 316232962431 5009672 0453 5291 704March10 177206912411 4779552 0233 4591 725February10 084187862401 4559442 0503 3561 766January10 143173832431 4559442 1563 2581 831December10 444176792511 4919612 3343 2321 920November10 959198752581 5611 0022 5363 3022 028October11 584227692631 6491 0622 7433 4322 138September12 142248622651 7331 1162 9273 5502 241August12 545254582641 7941 1523 0833 5992 341July

2008–200912 798245612591 8311 1633 2173 5842 438June12 945224712551 8561 1493 3443 5322 514May13 061197832551 8851 1213 4593 4762 584April13 214174892581 9211 0963 5763 4562 644March

2007–2008

MO N T H L Y — TR E N D

162 7272 3391 1722 93823 64113 38045 04742 90831 3022007–08153 4152 2461 4642 94025 08710 81841 51637 94231 4022006–07152 2141 8671 3632 63426 17011 45838 03336 52934 1602005–06

NU M B E R OF DW E L L I N G UN I T AP P R O V A L S — AN N U A L

Australia

Australian

Capital

Territory(a)Northern

Territory(a)Tasmania

Western

Australia

South


New

South

WalesPe r i od

BUILDING APPROVALS, Number and value9.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(a) Extreme care should be exercised in using the trend series for number of building approvals in the Northern Territory and the Australian Capital Territory.The highly erratic nature of these data makes reliable estimation of the trend very difficult.


–2.2–21.8–29.848.320.3–14.1–14.11.8–6.6May–1.226.72.5–13.04.2–2.57.8–22.131.6April7.133.436.027.7–11.210.321.69.8–4.0March

37.3116.8113.4–9.131.029.619.454.935.1February–20.3–41.0–8.5–6.3–12.3–22.7–16.2–16.1–35.8January–14.8–37.3–70.1–21.5–10.2–3.3–34.5–4.6–1.0December–29.2–66.098.74.4–21.1–3.0–39.5–26.2–29.4November15.6294.3–30.91.713.2–29.619.79.928.0October0.56.557.715.7–25.937.418.8–3.1–7.6September

2008–2009

PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H — OR I G I N A L

2 413482663435153487741461May2 467613742362177566728493April2 496483649347182525934375March2 330362738391165432851391February1 697171242299127362549289January2 129281445341165432655451December2 498454657379170660686455November3 53113223544811761 089930645October3 054343353424249910846504September3 038322146573181766874546August3 4938010725552468581 026647July

2008–20093 279883037436304837900647June3 470251359707237870840718May3 4414623525441851 232757602April2 718213239518145705725533March

2007–2008

MO N T H L Y — OR I G I N A L ($ M I L L I O N )

39 2294803585616 6272 36411 4939 8397 5062007–0833 9874934115255 9531 7579 3168 2837 2502006–0730 8144293334595 1241 7748 1447 3577 1932005–06

VA L U E OF NE W DW E L L I N G UN I T AP P R O V A L S — AN N U A L

Australia

Australian

Capital

Territory(a)Northern

Territory(a)Tasmania

Western

Australia

South


New

South

WalesPe r i od

BUILDING APPROVALS, Number and value co n t i n u e d9.7 . . . . . . . . . . . . . . . . . . . . . . . . . . .





2008–20094.54.43.93.54.54.65.14.44.3June4.24.63.93.84.34.54.84.43.9March

2007–2008


0.50.61.10.50.80.60.60.30.4June0.10.40.10.2–0.10.00.20.20.1March

–0.3–0.4–0.4–0.2–0.3–0.3–0.2–0.5–0.2December1.21.51.71.11.01.31.41.21.1September

2008–20091.51.21.51.01.61.31.71.21.5June1.31.40.91.31.41.51.31.31.4March

2007–2008




2007–2008157.5158.0154.7157.4158.0160.3160.2155.6157.4June

2006–2007

QU A R T E R L Y (1 9 8 9 – 9 0 = 10 0 . 0 )

166.4167.5163.6164.9166.6169.7171.0164.1165.82008–09161.4162.0158.3160.3161.7164.4164.8159.6160.92007–08156.1156.4152.9155.7156.1159.2158.3154.2156.22006–07

AN N U A L (1 9 8 9 – 9 0 = 10 0 . 0 )

Weighted

average

of Eight

Capital

CitiesCanberraDarwinHobartPerthAdelaideBrisbaneMelbourneSydneyPe r i od

CONSUMER PRICE INDEX, Al l groups9.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Labour Force, Australia, (cat. no. 6202.0)na not available

0.0–0.30.5–0.4–0.10.2–0.20.00.0June0.0–0.30.8–0.40.00.2–0.20.00.0May

–0.1–0.30.9–0.4–0.10.2–0.1–0.10.0April–0.1–0.31.0–0.4–0.10.2–0.1–0.1–0.1March0.0–0.31.0–0.3–0.20.10.0–0.1–0.1February0.0–0.20.8–0.3–0.30.00.1–0.10.0January0.00.00.6–0.2–0.2–0.10.1–0.10.0December0.00.10.4–0.10.0–0.10.1–0.10.0November0.00.10.2–0.10.20.00.10.00.0October

2008–2009

PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H — T R E N D

10 772.5193.5121.2234.31 164.4796.12 221.82 646.93 390.7June10 777.3194.1120.6235.11 165.2794.72 225.32 647.63 390.7May10 782.4194.7119.6236.11 165.5793.52 228.82 648.93 390.8April10 788.0195.4118.5237.11 166.3792.12 231.62 651.03 391.7March10 794.0196.0117.3237.91 167.9790.92 233.02 653.83 393.4February10 799.4196.6116.2238.71 170.3790.42 232.62 656.93 395.5January10 803.1196.9115.2239.51 173.3790.62 231.02 660.13 396.9December10 805.2196.9114.6240.11 175.8791.62 229.12 662.53 397.8November10 804.9196.7114.2240.41 176.4792.62 227.32 663.93 398.4October10 801.7196.5113.9240.61 173.7792.82 225.02 664.93 399.6September10 796.4196.3113.8240.51 167.9792.12 221.32 665.53 402.9August10 790.1196.3113.7239.61 160.0790.92 215.92 665.13 409.6July

2008–2009

10 782.7196.3113.4238.01 152.2789.52 208.62 664.13 418.2June10 773.5196.3113.0236.11 146.1788.32 200.22 663.23 425.6May10 761.8196.0112.6234.41 141.9787.42 191.82 663.13 429.0April

2007–2008

MO N T H L Y — T R E N D ( ' 0 0 0 )

10 762.5nana235.11 161.6793.82 211.82 649.83 393.1June10 783.9nana234.01 172.4796.92 225.32 651.43 393.9May10 792.4nana233.01 164.3797.62 231.02 641.53 394.0April10 766.8nana237.21 165.1788.62 232.92 649.53 379.5March10 804.4nana243.51 165.4791.12 241.12 653.43 393.4February10 801.5nana238.01 162.8789.02 230.02 662.03 399.2January10 801.4nana236.31 183.8786.92 225.52 658.63 402.5December10 802.8nana238.11 169.4795.62 230.52 661.43 397.2November10 817.8nana242.81 183.4792.22 228.42 667.13 399.5October10 787.9nana241.01 169.0794.62 217.02 660.53 399.2September10 798.0nana243.21 175.2790.42 231.92 668.73 391.2August10 795.3nana236.61 162.0793.32 219.82 663.03 409.3July

2008–2009

10 788.2nana237.31 149.7789.72 202.72 665.13 426.5June10 749.0nana237.81 138.0783.52 200.42 667.63 415.3May10 779.3nana236.41 140.3787.92 191.62 662.03 432.7April

2007–2008

MO N T H L Y — S E A S O N A L L Y AD J U S T E D ( ' 0 0 0 )

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

EMPLOYED PERSONS9.9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Labour Force, Australia, (cat. no. 6202.0)na not available

0.10.20.00.10.2–0.10.20.10.1June0.10.20.00.10.2–0.10.20.20.1May0.20.20.00.10.30.00.20.20.2April0.20.20.00.20.40.00.20.20.2March0.20.20.00.20.40.00.20.30.3February0.20.00.10.20.40.10.20.30.3January0.2–0.10.20.20.30.10.20.20.2December0.1–0.10.20.10.20.20.20.10.2November0.1–0.10.20.10.00.20.10.00.1October

2008–2009

PE R C E N T A G E CH A N G E FR O M PR E V I O U S MO N T H — T R E N D

5.83.63.95.35.25.55.46.06.6June5.73.43.95.35.05.65.25.96.5May5.63.23.95.14.85.65.05.86.4April5.42.93.95.04.55.64.85.66.2March5.22.74.04.84.15.74.65.36.0February5.02.64.04.63.75.64.45.15.7January4.72.53.94.43.25.64.14.85.5December4.52.63.74.22.95.54.04.65.2November4.42.73.54.12.85.33.84.55.1October4.32.73.24.12.75.13.74.45.0September4.32.73.04.02.85.03.74.44.9August4.22.73.04.13.04.93.74.54.8July

2008–2009

4.22.73.24.23.14.83.74.54.7June4.22.73.44.33.24.73.74.44.6May4.12.63.84.43.24.73.74.44.5April

2007–2008

MO N T H L Y — T R E N D (P E R CE N T )

5.8nana4.75.15.45.46.06.5June5.7nana5.65.05.45.35.96.4May5.5nana6.14.65.55.05.76.1April5.7nana4.45.05.94.95.76.8March5.3nana4.54.25.74.65.66.0February4.9nana4.53.55.74.44.95.6January4.6nana4.83.05.44.04.75.2December4.5nana4.63.15.43.94.65.2November4.4nana3.62.35.33.94.45.3October4.3nana3.83.05.83.84.44.8September4.1nana4.02.74.43.34.34.9August4.3nana4.53.04.73.74.64.8July

2008–2009

4.2nana4.33.04.83.74.64.6June4.2nana4.13.55.13.84.34.7May4.2nana4.13.24.93.84.64.6April

2007–2008

MO N T H L Y — S E A S O N A L L Y AD J U S T E D (P E R CE N T )

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

UNEMPLOYMENT RATE, Persons9.10 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Average Weekly Earnings, Australia, (cat. no. 6302.0)


2008–2009


2007–2008

671.50868.90724.70606.20639.20617.90639.60646.80723.80May675.70868.50736.60610.30633.10619.30650.40656.50722.30February

2006–2007

FE M A L E S OR I G I N A L ($ PE R WE E K )

1 112.201 298.901 095.00957.001 341.801 010.401 072.301 090.501 099.10February1 100.601 305.101 101.80955.401 329.001 018.601 057.601 062.401 098.40November1 090.801 291.701 097.00911.401 294.30986.801 045.301 069.801 086.60August

2008–2009

1 069.001 232.901 066.00930.201 259.90967.601 014.601 044.101 075.40May1 067.801 221.301 058.20945.901 254.00960.60977.201 043.301 100.10February1 051.201 222.101 021.80924.201 220.10957.00965.401 027.101 085.50November1 050.501 185.701 002.30917.401 191.90946.00961.201 044.101 089.60August

2007–2008

1 032.501 185.30981.20910.001 153.70922.30973.601 014.101 071.10May1 020.901 164.80957.50895.201 111.30908.00973.601 006.401 064.20February

2006–2007

MA L E S OR I G I N A L ($ PE R WE E K )

1.31.72.21.41.1–0.61.91.80.9February0.92.5–0.93.12.42.61.8–0.20.3November1.93.52.8–2.51.61.23.22.21.2August

2008–2009

–0.20.7–1.3–0.90.11.91.6–0.3–1.7May1.6–0.45.62.02.40.91.32.50.7February0.23.1–0.61.31.71.01.5–1.7–0.2November

2007–2008


921.501 142.70953.00789.201 037.20842.70903.70896.10924.70February909.501 123.90932.70778.201 025.90847.50887.20880.30916.40November901.701 097.00940.70754.601 002.30826.40871.50881.80913.30August

2008–2009

885.001 060.10915.40773.80986.80816.30844.70862.50902.50May886.701 053.10927.50780.50986.20800.90831.30864.80918.00February872.901 057.10878.60765.10963.20793.40820.70844.10911.60November870.901 025.80884.20755.10946.70785.70808.50858.50913.50August

2007–2008

858.001 019.10848.80756.00912.10779.20807.80839.60902.70May856.701 011.60845.70753.80888.40777.70817.60841.70900.10February

2006–2007

PE R S O N S OR I G I N A L ($ PE R WE E K )

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

AVERAGE WEEKLY EARNINGS OF EMPLOYEES, Al l employees9.11 . . . . . . . . . . . . . . . . .



Source: Job Vacancies, Australia, (cat. no. 6354.0)(a) Care should be exercises in using these series as someestimates are subject to high sampling variability.


2007–2008166.55.32.42.327.010.235.631.851.9May163.74.82.52.525.09.938.732.148.2February161.14.52.72.523.99.438.831.647.7November155.04.72.62.322.69.039.831.642.5August

2006–2007152.03.92.42.421.210.836.832.841.7May

2005–2006

QU A R T E R L Y ( ' 0 0 0 ) — OR I G I N A L

179.65.63.52.629.19.539.035.654.62007–08161.64.82.52.424.69.638.231.847.62006–07143.04.02.32.318.79.231.631.843.22005–06

AN N U A L AV E R A G E ( ' 0 0 0 )

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

TOTAL JOB VACANCIES (a)9.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Housing Finance, Australia, (cat. no. 5609.0)(a) Excludes alterations and additions.

7.73.1–2.93.912.47.94.89.87.1May–7.5–5.9–9.7–19.5–8.3–10.8–10.9–4.2–5.4April19.817.229.414.815.813.821.220.821.8March17.536.518.419.210.114.720.28.825.7February

–15.9–23.7–22.3–10.0–11.8–13.6–11.2–15.8–21.1January12.731.515.210.614.015.67.115.712.3December–2.7–21.2–8.51.7–11.65.5–3.2–8.65.3November7.215.019.215.29.37.99.38.82.0October0.25.816.0–3.5–6.6–2.46.50.1–0.3September

2008–2009


66 2421 1775051 2507 6915 56413 55315 48821 014May61 5261 1425201 2036 8455 15712 93814 10919 612April66 5021 2135761 4957 4685 77914 52414 72320 724March55 4911 0354451 3026 4485 08011 98412 18417 013February47 2257583761 0925 8594 4299 97311 20013 538January56 1529944841 2136 6405 12711 23413 29517 165December49 8087564201 0975 8264 43510 49411 49015 290November51 2149594591 0796 5884 20310 83612 57614 514October47 7718343859376 0283 8979 91211 55414 224September47 6607883329716 4573 9929 31111 54514 264August53 3298553561 0177 1094 34810 64513 05515 944July

2008–200950 1457863599646 4254 24010 07912 27215 020June55 9898624281 1206 7234 75811 07713 86417 157May58 3509334561 3497 0234 78912 16714 17717 456April56 4257494121 2796 8254 65412 28213 10417 120March

2007–2008

OR I G I N A L

733 59610 1865 54615 28692 77160 536161 572172 945214 7542007–08771 38210 1676 39214 534104 59762 777176 623172 319223 9732006–07727 6348 2868 18713 834106 82758 755159 652162 150209 9432005–06

TO T A L NU M B E R OF DW E L L I N G UN I T S

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

SECURED HOUSING FINANCE COMMITMENTS TO INDIV IDUALS, Number and

value(a)9.13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Housing Finance, Australia, (cat. no. 5609.0)(a) Excludes alterations and additions.

7.72.2–3.28.211.37.63.110.78.0May–6.9–8.3–12.8–19.1–5.7–9.0–11.8–4.2–4.4April25.226.650.619.919.414.526.325.128.9March18.937.215.316.813.514.023.67.227.4February

–17.8–26.4–28.1–5.3–11.9–14.5–13.1–16.6–24.4January14.336.324.19.116.718.610.316.212.7December–3.7–23.7–10.01.2–13.24.7–5.4–9.25.3November9.415.729.016.712.411.210.412.34.0October1.110.817.3–1.2–5.2–3.08.71.9–1.4September

2008–2009


17 6823101412502 1741 1963 6513 9216 039May16 4233041452311 9521 1113 5433 5425 594April17 6403311672862 0711 2214 0163 6965 852March14 0882621112381 7351 0673 1802 9544 541February11 849191962041 5289362 5732 7563 564January14 4172591342161 7351 0952 9623 3064 712December12 6171901081981 4869232 6862 8464 181November13 1052491201951 7138822 8403 1343 972October11 976215931671 5247932 5742 7913 819September11 849194791691 6088172 3672 7393 875August13 231197911651 7798702 6603 1394 331July

2008–200912 371194811581 5808192 5252 9584 056June13 640205921901 6419172 7553 2784 563May13 807210992231 7179332 9163 1864 522April13 178180822171 6318722 9432 9504 304March

2007–2008


174 5662 4781 1722 58322 20411 58139 03239 99455 5232007–08174 0392 3931 2832 43823 44911 22039 78237 89555 5802006–07157 4151 8481 5352 15220 6939 87833 98334 19753 1292005–06

TO T A L VA L U E OF DW E L L I N G UN I T S ($ M I L L I O N )

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

SECURED HOUSING FINANCE COMMITMENTS TO INDIV IDUALS, Number and

value(a) co n t i n u e d9.13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Labour Price Index, Australia, (cat. no. 6345.0)


2008–20090.90.61.70.81.40.60.71.00.9June0.90.80.80.91.00.90.81.01.0March1.01.01.00.91.31.21.11.00.7December

2007–2008

PE R C E N T A G E CH A N G E FR O M PR E V I O U S QU A R T E R — OR I G I N A L



2007–2008113.9114.5114.1114.7116.4113.1115.0113.2113.3June113.0113.7112.9113.9114.5112.4114.0112.4112.5March

2006–2007

QU A R T E R L Y (2 0 0 3 – 0 4 = 10 0 . 0 )

117.1117.7116.8117.5120.7116.9118.1116.1116.22007–08112.4113.1112.4113.1114.1111.6113.3111.8111.92006–07108.1108.6108.2108.4109.0107.4108.4107.9107.82005–06

AN N U A L (2 0 0 3 – 0 4 = 10 0 . 0 )

Australia

Australian

Capital

Territory

Northern

TerritoryTasmania

Western

Australia

South


New

South

WalesPe r i od

TOTAL HOURLY RATES OF PAY INDEXES, Exc lud ing bonuses9.14 . . . . . . . . . . . . . . . . . .



CHAP T E R 1 0 IN T E R N A T I O N A L CO M P A R I S O N S . . . . . . . . . . . . . . . . . . . .

pageC O N T E N T S

Due to the many dif ferences in the structure of the housing sector in dif ferent

countr ies and in the way that housing is treated in their CPIs, a simple comparison

of All items (or headl ine) CPIs is often inappropr iate. To provide a better basis for

internat ional comparisons, the Fourteenth Internat ional Conference of Labour

Stat ist ic ians adopted a resolut ion which cal led for countr ies to “prov ide for

dissemination at the internat ional level of an index which excludes shelter, in

addit ion to the all- i tems index.” Table 10.8 presents indexes for selected countr ies

on a basis consistent with the above resolut ion and comparable to the Austral ian

series "Al l groups excluding housing and financial and insurance services." The series

in this table are presented on a reference base consistent with that used for

publicat ion of the Austral ian CPI (i.e. 1989–90 = 100.0) and as such are not

direct ly comparable with those for All items published in Table 10.7 (presented on a

reference base of 2005 = 100.0).

CO N S U M E R PR I C E IN D E X (C P I ) .

NO T E S

159M1 plus quasi-money index10.13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .158Unemployment rates10.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .157Employment index10.11 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .156Wages index10.10 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .155Producer prices index10.9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .154Consumer price index, Excluding shelter10.8 . . . . . . . . . . . . . . . . . . . . . .153Consumer price index, All items10.7 . . . . . . . . . . . . . . . . . . . . . . . . . . .152Industrial production volume index10.6 . . . . . . . . . . . . . . . . . . . . . . . . .151Private fixed capital investment volume index10.5 . . . . . . . . . . . . . . . . . . .150Private consumption expenditure volume index10.4 . . . . . . . . . . . . . . . . .149Balance on payments, Current balance10.3 . . . . . . . . . . . . . . . . . . . . . . .148Balance on current account, Percentage of seasonally adjusted GDP10.2 . . . . .147Real gross domestic product volume index10.1 . . . . . . . . . . . . . . . . . . . .

TA B L E S


Source: Organisation for Economic Co-operation and Development, OECD.

Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

%

2

4

6

8

10AustraliaUnited KingdomUnited StatesJapan

STANDARDISED UNEMPLOYMENT RATES, (f rom Tab le 10.12)Seasona l l y adjus ted


Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

index

70

80

90

100

110

AustraliaJapanMajor 7United Kingdom

INDUSTRIAL PRODUCTION VOLUME INDEX, (f rom Tab le 10.6) 2005 =100


Jun1997

Jun2000

Jun2003

Jun2006

Jun2009

%

–15

–10

–5

0

5

AustraliaFranceJapanUnited KingdomUnited States

BALANCE ON CURRENT ACCOUNT, (f rom Tab le 10.2) Propor t ion ofGDP

GR A P H S


C H A P T E R 1 0 • I N T E R N A T I O N A L CO M P A R I S O N S

Source: Organisation for Economic Co–operation and

Development, OECD.nya not yet available(a) Data for Japan measure real gross national product.(b) The OECD Major 7 consists of Canada, France, Germany,

Italy, Japan, the United Kingdom and the United Statesof America.

nyanyanyanyanyanyanyanyanyaJune0.4–2.1–1.4–2.4–2.6–1.2–3.8–3.8–1.4March

–0.6–2.0–0.9–1.8–2.1–1.4–2.2–3.6–1.6December0.2–0.30.1–0.7–0.8–0.2–0.5–0.7–0.1September

2008–20090.30.10.1–0.1–0.6–0.4–0.5–0.60.7June0.80.4–0.20.80.50.41.50.40.2March

2007–2008


nyanyanyanyanyanyanyanyanyaJune128.1111.2117.7115.3102.1111.2103.5103.1115.7March127.6113.7119.3118.1104.9112.5107.6107.2117.4December128.4116.0120.4120.3107.2114.2110.1111.1119.3September


2007–2008124.3114.6119.5119.1108.3113.3108.5111.3117.1June

2006–2007

SE A S O N A L L Y AD J U S T E D (2 0 0 0 = 10 0 . 0 )

nyanyanyanyanyanyanyanyanya2008–093.72.12.02.30.41.92.21.42.42007–083.32.32.22.62.22.33.42.32.02006–07


nyanyanyanyanyanyanyanyanya2008–09127.0115.9120.3120.6108.3114.4110.1112.0118.72007–08122.5113.6117.9117.8107.8112.3107.7110.4115.92006–07

AN N U A L (2 0 0 0 = 10 0 . 0 )

Australia

OECD

Major

7(b)Canada

United

KingdomItalyFranceGermanyJapan(a)United

StatesPe r i od

REAL GROSS DOMESTIC PRODUCTION VOLUME INDEX10.1 . . . . . . . . . . . . . . . . . . . . . . .



nya not yet available(a) Statistics are calculated as the original balance on current account as a percentage of the seasonally adjusted

current price gross domestic product, except for Japan and Germany, where real gross national productreplaces gross domestic product.


nyanyanyanyanyanyanyanyaJunenyanyanyanyanyanyanyanyaMarch–4.40.5–1.7–3.4–2.36.63.2–4.9December–5.51.2–1.5–3.0–2.27.54.0–5.0September

2008–2009–6.31.1–1.8–2.8–1.77.94.5–5.0June–6.51.1–2.0–2.6–1.38.04.8–5.1March–6.21.0–2.7–2.4–1.08.04.9–5.3December–5.91.2–3.3–2.3–0.77.94.7–5.5September

2007–2008–5.71.3–3.4–2.5–0.67.54.4–5.9June

2006–2007


nyanyanyanyanyanyanyanya2008–09–6.21.1–2.5–2.6–1.27.94.7–5.22007–08–5.41.5–3.3–2.5–0.66.64.1–6.12006–07

AN N U A L

AustraliaCanada

United

KingdomItalyFranceGermanyJapan

United

StatesPe r i od

BALANCE ON CURRENT ACCOUNT, Percentage of seasona l l y ad jus ted GDP(a)10.2 . .



(b) Excludes trade with the German Democratic Republic.Source: Organisation for Economic Co–operation and Development,

OECD.

nya not yet available(a) All series are exports (fob) less imports (cif) except for Canada and

Australia where imports are also fob. Data are measured on aforeign trade basis.

nyanyanyanyanyanyanyanyanyanyanyaJune0.1nyanya14.6nyanyanyanyanya2.3nyaMay

–0.10.1nya14.8–0.3–10.40.1–6.510.00.8–40.1April–0.12.1–5.122.50.5–9.9–0.9–7.512.3–0.3–39.2March0.11.0–6.511.60.3–9.8–0.6–6.38.3–0.4–37.2February0.10.6–5.442.0–0.5–11.4–2.6–6.49.2–4.4–47.6January

–0.20.1–7.135.70.6–10.3–0.6–5.417.1–1.4–53.2December–0.20.8–10.036.62.2–12.0–1.6–9.716.3–3.5–54.3November–0.31.9–8.425.63.1–12.3–1.0–9.620.5–2.6–71.4October–0.61.2–12.428.53.7–13.4–1.2–9.021.0–0.5–71.7September–0.30.8–13.326.74.9–14.6–3.1–9.522.8–2.9–72.2August–0.4–0.9–11.123.05.4–16.0–1.3–10.121.4–0.1–77.3July

2008–2009–0.3–0.6–9.117.94.5–16.5–2.2–9.726.60.8–73.2June–0.6–1.0–9.719.45.0–15.8–1.8–8.424.24.6–73.7May–0.4–0.7–7.920.65.9–14.9–1.6–9.027.26.0–74.6April

2007–2008

SE A S O N A L L Y AD J U S T E D (U S $ B I L L I O N )

nyanyanyanyanyanyanyanyanyanyanya2008–09–3.5–19.1–86.3245.944.1–191.9–16.6–87.4295.280.9–859.72007–08–4.3–10.2–64.4235.241.5–156.7–19.0–52.6239.780.8–829.72006–07

AN N U A L (U S $ B I L L I O N )

New

ZealandAustraliaIndiaChinaCanada

United


United

StatesPe r i od

BALANCE OF PAYMENTS (a) (b ) , Cur ren t balance10.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



nya not yet availableSource: Organisation for Economic Co-operation and Development, OECD.

nyanyanyanyanyanyanyanyaJune133.9129.9118.8103.6119.8102.3107.4121.6March133.1130.4120.4104.7119.5101.9108.6121.2December132.7131.5121.7105.6119.3102.1109.4122.6September


2007–2008129.1126.4119.9106.5117.7102.3109.0122.2June

2006–2007


nyanyanyanyanyanyanyanya2008–09131.9130.0121.5106.2119.1102.3109.3123.32007–08127.2124.2118.7106.0116.6102.5108.4120.92006–07

AN N U A L (2 0 0 0 = 10 0 . 0 )

AustraliaCanada

United


United

StatesPe r i od

PRIVATE CONSUMPTION EXPENDITURE VOLUME INDEX10.4 . . . . . . . . . . . . . . . . . . . . . . .



nya not yet available(a) Fixed capital investment volume indexes for Germany, France, Italy and the United Kingdom are for gross

domestic fixed investment.Source: Organisation for Economic Co-operation and Development, OECD.

nyanyanyanyanyanyanyanyaJune–4.8–5.6–7.5–5.0–2.4–7.9–6.7–9.4March–0.7–4.0–1.2–5.8–2.5–2.7–3.7–5.0December1.70.2–2.8–2.1–1.10.2–2.4–0.8September

2008–20092.7–0.1–2.3–0.2–1.5–1.4–2.40.2June3.70.2–1.7–0.80.93.40.6–1.4March

2007–2008


nyanyanyanyanyanyanyanyaJune170.3135.4115.599.2117.895.683.892.0March179.0143.5124.9104.4120.6103.889.8101.5December180.2149.4126.4110.8123.7106.693.3106.8September


2007–2008162.9145.7131.2113.3122.6101.399.1110.3June

2006–2007

SE A S O N A L L Y AD J U S T E D (2 0 0 0 =1 0 0 . 0 )

nyanyanyanyanyanyanyanya2008–099.93.82.70.14.64.1–2.7–1.62007–085.54.09.02.95.87.91.6–1.62006–07


nyanyanyanyanyanyanyanya2008–09169.8148.8132.6113.6125.4105.397.2108.62007–08154.5143.4129.1113.5119.9101.199.9110.32006–07

AN N U A L (2 0 0 0 = 10 0 . 0 )

AustraliaCanada

United


United

StatesPe r i od

PRIVATE FIXED CAPITAL INVESTMENT VOLUME INDEX (a)10.5 . . . . . . . . . . . . . . . . . . . . .



Source: Organisation for Economic Co-operation and Development, OECD.nya not yet available(a) The OECD Major 7 consists of Canada, France, Germany, Italy,

Japan, the United Kingdom and the United States of America.

nyanyanyanyanyanyanyanyanyanyanyaJune102.8102.0126.587.286.587.884.987.192.073.492.4March105.0108.6126.196.591.992.594.193.8105.393.297.4December106.8118.4127.7102.795.697.0102.7100.7113.3104.7100.8September


2007–2008103.4112.8120.7104.8100.3100.5106.2101.9111.2106.4103.6June

2006–2007


nyanyanyanyanyanyanyanyanyanyanya2008–09105.5116.4125.2105.797.4100.1106.1102.9115.9108.1104.12007–08102.8110.1116.7104.099.6100.0105.2101.2110.2105.6103.02006–07

AN N U A L (2 0 0 5 = 10 0 . 0 )

AustraliaRussiaIndia

OECD

Major

7(a)Canada

United


United

StatesPe r i od

INDUSTRIAL PRODUCT ION VOLUME INDEX10.6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Organisation for Economic Co-operation and Development, OECD.nya not yet available(a) The OECD Major 7 consists of Canada, France, Germany, Italy, Japan,

the United Kingdom and the United States of America.

nyanya4.7nyanyanya0.9nya0.3nyanyaJune3.02.57.60.41.23.01.50.60.8–0.1nyaMarch3.43.711.11.81.93.92.81.81.71.01.6December5.15.011.94.43.44.84.03.33.12.25.3September

2008–20094.04.510.33.62.43.43.63.32.91.44.4June3.44.27.73.21.82.43.12.92.91.04.1March

2007–2008


nyanya137.2nyanyanya108.3nya106.9nyanyaJune111.2111.5137.2107.0106.2109.4107.7105.7106.7100.6108.6March110.9111.4137.0107.6106.5109.8107.9106.2106.8101.9109.1December111.4111.7135.2109.6108.2109.7108.4106.7107.4102.6112.3September


2007–2008105.5105.7118.8104.7104.6104.8103.6103.1103.6100.2106.3June

2006–2007

OR I G I N A L (2 0 0 5 = 10 0 . 0 )

nyanya8.8nyanyanya2.3nya1.4nyanya2008–093.13.47.82.92.22.42.72.52.80.73.72007–082.72.98.12.01.82.61.81.31.60.22.62006–07


nyanya136.6nyanyanya108.1nya106.9nyanya2008–09107.8108.2125.6106.4105.3106.2105.7104.8105.4100.9108.42007–08104.5104.7116.5103.4103.0103.7102.9102.3102.5100.2104.52006–07

AN N U A L (2 0 0 5 = 10 0 . 0 )

New

ZealandAustraliaIndonesia

OECD

Major

7(a)Canada

United


United

StatesPe r i od

CONSUMER PRICE INDEX, Al l i tems10.7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



Source: Consumer Price Index, Australia, (cat. no. 6401.0)nya not yet available

nya0.2–2.30.1–1.0nya3.1nya3.5nya1.71.4June3.00.4–0.80.7–0.10.74.2–0.27.8–0.52.72.1March4.31.11.31.21.94.14.71.211.42.13.02.4December5.92.66.82.85.45.05.62.613.65.05.23.8September

2008–20094.32.55.21.64.26.84.91.613.25.73.83.3June3.13.04.60.94.96.13.81.28.94.93.03.5March

2007–2008


nya0.41.41.60.7nya1.1nya–0.2nya0.70.7June–0.4–0.1–1.0–0.3–3.6–1.50.9–1.50.2–0.50.30.8March–0.3–0.8–4.1–2.00.10.7–0.3–0.90.6–1.6–0.8–0.7December1.30.71.50.91.80.41.41.22.90.41.60.7September

2008–20092.40.63.02.21.61.22.21.04.01.31.61.3June0.90.61.10.2–1.61.71.3–0.13.62.10.61.1March

2007–2008


nya140.2162.8148.4144.7nya235.7nya832.4nya148.3169.0June167.4139.6160.6146.0143.7136.5233.2106.8833.9172.0147.4167.9March168.1139.8162.2146.5149.0138.6231.2108.4832.6172.9147.0166.6December168.6140.9169.2149.5148.9137.7231.8109.4827.9175.8148.2167.7September

2008–2009166.5139.9166.7148.2146.2137.1228.7108.1804.4175.1145.8166.6June162.6139.1161.9145.0143.9135.5223.8107.1773.7172.9143.5164.5March161.2138.3160.1144.7146.2133.2220.9107.2747.1169.4142.7162.7December159.2137.3158.5145.4141.3131.1219.5106.6728.9167.4140.8161.5September

2007–2008159.6136.5158.5145.9140.3128.4218.1106.4710.8165.7140.6161.2June

2006–2007

OR I G I N A L (1 9 8 9 – 9 0 = 10 0 . 0 )

3.51.11.21.21.52.54.40.98.91.43.22.42008–093.02.74.01.44.35.03.60.89.03.92.62.52007–083.21.51.91.10.10.72.40.38.31.32.03.02006–07


168.0140.1163.7147.6146.6137.6233.0108.2831.7173.6147.7167.82008–09162.4138.7161.8145.8144.4134.2223.2107.3763.5171.2143.2163.82007–08157.6135.0155.6143.8138.4127.8215.4106.4700.5164.7139.6159.82006–07

AN N U A L (1 9 8 9 – 9 0 = 10 0 . 0 )

United

KingdomGermany

United

StatesCanadaTaiwanSingapore

Republic

of KoreaJapanIndonesia

Hong

Kong

New

ZealandAustraliaPer i od

CONSUMER PRICE INDEX, Exc lud ing she l te r10.8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(b) The OECD Major 7 consists of Canada, France, Germany, Italy, Japan,the United Kingdom and the United States of America.


nya not yet available(a) All series represent producer prices in manufacturing goods except

France (intermediate goods).

nyanyanyanyanyanyanyanyanyanyanyaJune7.7–1.0nya–3.00.80.5–4.8–5.4–2.1–1.8–3.8March

15.26.722.02.35.95.8–0.10.70.92.72.2December10.710.931.79.78.213.07.17.34.36.412.1September

2008–20099.58.725.97.73.411.86.87.43.84.19.6June8.76.920.46.2–0.18.76.46.03.33.27.9March

2007–2008


nyanyanyanyanyanyanyanyanyanyanyaJune123.4114.5nya107.2105.8113.0106.2104.4104.5103.3108.7March128.0119.7282.3110.9108.0115.7109.9109.4106.8107.1112.8December120.3122.5291.0117.3111.7120.7115.9114.7109.5110.2121.8September


2007–2008106.2110.9213.8106.5105.8105.5107.0105.9104.5103.0108.2June

2006–2007

OR I G I N A L (2 0 0 5 = 10 0 . 0 )




AN N U A L (2 0 0 5 = 10 0 . 0 )

New

ZealandAustraliaIndonesia

OECD

Major

7(b)Canada

United


United

StatesPe r i od

PRODUCER PRICE INDEX (a)10.9 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(d) Enterprises with 10 or more employees.(e) Data refer to beginning of period.(f) Data refer to end of month.(g) Data refer to pay period of the month.(h) The OECD Major 7 consists of Canada, France, Germany, Italy, Japan,

the United Kingdom and the United States of America.Source: Organisation for Economic Co-operation and Development, OECD

nya not yet available(a) Data for Germany represents hourly wages rates in manufacturing

industry, except for Japan (monthly earnings), France (all industries),Italy (all industries), the United Kingdom (weekly earnings), Australia (allindustries) and New Zealand (weekly earnings in all industries).

(b) Pay period including 12th of the month.(c) Earnings of regular workers in establishments employing at least 30

workers.

nyanyanyanyanyanyanyanya109.4June113.3106.1103.0112.7112.3nyanya95.0109.1March114.4106.7106.2112.8110.8110.2nya100.0108.3December113.6106.4105.8112.3110.6109.5nya100.8107.5September

2008–2009111.7106.1107.0111.6109.4108.8nya102.0106.8June112.0105.7108.5111.6108.5107.7nya101.8106.2March108.5104.9107.7110.2107.3106.8nya101.6105.0December108.0104.1105.9109.1106.4106.0nya100.2104.7September

2007–2008106.1103.9104.9108.6105.9105.4nya101.6104.1June

2006–2007

QU A R T E R L Y (2 0 0 5 = 10 0 . 0 )

nyanyanyanyanyanyanyanya108.62008–09110.0105.2107.3110.7107.9107.3nya101.4105.72007–08105.6102.8101.9107.0105.0104.3nya101.5102.82006–07

AN N U A L (2 0 0 5 = 10 0 . 0 )

AustraliaOECD

Major 7(h)Canada(g)United

KingdomItaly(f)France(e)Germany(d)Japan(c)United

States(b)Per i od

WAGES INDEX (a)10.10 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



nya not yet available(a) All series are total employment except the United States, France, Canada and Australia which are civilian employment.(b) The major seven countries comprise: Canada, France, Germany, Italy, Japan, the United Kingdom and the United States of America.Source: Organisation for Economic Co-operation and Development, OECD

nya108.0nyanyanyanyanyanyanya99.2June104.6108.1101.4104.6101.4102.7103.4106.0100.199.9March105.9108.1102.5106.0102.1103.7103.9106.9100.2101.6December105.2108.0102.8105.9102.2103.9103.7106.7100.1102.5September


2007–2008104.2105.3102.5103.9101.4102.7102.1104.0101.1102.9June

2006–2007


nyanyanyanyanyanyanyanyanya100.82008–09104.5106.8103.0105.4102.2103.7103.3105.1100.8103.12007–08103.3104.1102.1103.1101.2102.2101.4103.0100.8102.72006–07

AN N U A L (2 0 0 5 = 10 0 . 0 )

New

ZealandAustralia

OECD

Major

7(b)Canada

United

King-

domItalyFranceGermanyJapan

United

StatesPe r i od

EMPLOYMENT INDEX (a)10.11 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



(c) The OECD Major 7 consists of Canada, France, Germany, Italy, Japan,the United Kingdom and the United States of America.

Source: Organisation for Economic Co-operation and Development, OECD

nya not yet available(a) All series are OECD standardised unemployment rate.(b) This series has been revised due to incorporation of the results of the

new continuous European Union Labour Force Survey for Germany.

nyanyanyanyanyanyanyanyanya9.5Junenya5.78.08.4nyanya9.37.75.29.4Maynya5.57.88.0nyanya9.17.75.08.9April5.05.77.68.07.27.49.07.54.88.5March5.05.37.27.77.17.48.87.44.48.1February5.04.96.97.26.87.48.67.34.17.6January4.74.66.76.66.57.08.47.24.37.2December4.74.56.46.46.37.08.27.14.06.8November4.74.46.26.36.17.08.17.13.86.6October4.34.36.16.26.06.87.97.14.06.2September4.34.16.06.25.86.87.87.14.16.2August4.34.35.96.15.76.87.77.24.05.8July

2008–20094.04.35.86.25.56.87.77.34.15.6June4.04.25.76.15.36.87.67.44.05.5May4.04.25.56.05.16.87.67.44.05.0April

2007–2008

MO N T H L Y ( P E R CE N T )

nyanyanyanyanyanyanyanyanya7.62008–093.74.25.56.05.26.57.87.83.95.02007–083.84.55.56.25.46.38.89.04.04.52006–07

AN N U A L AV E R A G E (P E R CE N T )

New

ZealandAustraliaOECD

Major 7(c)Canada

United

KingdomItalyFranceGermany(b)Japan

United

StatesPe r i od

UNEMPLOYMENT RATE (a)10.12 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



nya not yet available(a) The European Union Countries used in this series are Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, the

Netherlands, Portugal, Spain, Sweden and the United Kingdom.Source: Organisation for Economic Co-operation and Development, OECD.

nyanyanyanyanyanyanyanyanyanyanyaJune2.17.8–4.36.89.810.213.73.76.4–0.514.3March1.37.414.912.013.48.312.59.53.3–1.211.9December5.96.022.816.117.612.28.411.11.0–0.43.5September

2008–20092.54.425.622.619.217.28.017.82.4–0.70.2June1.19.030.922.918.019.97.319.74.0nya0.1March

2007–2008


nyanyanyanyanyanyanyanyanyanyanyaJune106.1140.2206.8173.7173.2169.0139.5145.5128.8102.4114.2March104.1139.7236.6176.2168.9160.0135.3141.7124.5102.0111.6December106.3135.9232.8173.4167.0159.5130.0139.6120.9102.3103.1September


2007–2008103.0123.8177.4138.3135.5134.2116.8120.3118.7102.8100.2June

2006–2007


nyanyanyanyanyanyanyanyanyanyanya2008–090.510.331.323.417.219.98.015.74.8–0.20.02007–083.112.338.921.417.418.19.49.87.20.7–0.62006–07



AN N U A L (2 0 0 5 = 10 0 . 0 )

New

ZealandAustraliaRussiaIndonesiaIndiaChinaCanada

United

Kingdom

European

Union(a)Japan

United

StatesPe r i od

M1 PLUS QUASI– MONEY INDEX10.13 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .



EX P L A N A T O R Y NO T E S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

7 Series in this publication include original, seasonally adjusted and trend series.

Special care should always be taken in interpreting data for the most recent months and

quarters. Some of the original and all of the seasonally adjusted and trend series are

subject to revision.

8 It is not uncommon for movements in original time series data and those provided

from seasonally adjusted and trend series to differ significantly. Movements in a time

series of original data may reflect several factors, including:

! longer-term changes in the item being measured (i.e. trend movements)

! short-term irregular changes

! regular seasonal influences

! normal ‘trading’, ‘working’ or ‘pay’ day patterns

! systematic holiday effects.

SE A S O N A L L Y AD J U S T E D AN D

TR E N D ES T I M A T E S

5 A list of related publications is included on the ABS website under the Related

Information tab of the latest release of Australian Economic Indicators. These include

publications which are the source of the data in the tables and other related

publications.

6 Other useful sources of detailed information are the ‘Concepts, Sources and

Methods’ and classification publications. These are released irregularly, each relating to a

specific publication, collection or standard classification. The publications most relevant

to Australian Economic Indicators include:

! Australian and New Zealand Standard Industrial Classification (ANZSIC),

cat. no. 1292.0

! Australian System of Government Finance Statistics: Concepts, Sources and

Methods 2005, cat. no. 5514.0

! Australian National Accounts: Concepts, Sources and Methods, cat. no. 5216.0

! Balance of Payments and International Investment Position, Australia: Concepts,

Sources and Methods, cat. no. 5331.0

! Labour Statistics: Concepts, Sources and Methods, cat. no. 6102.0.55.001

! Labour Price Index: Concepts, Sources and Methods, cat. no. 6351.0.55.001

! Australian Consumer Price Index: Concepts, Sources and Methods, cat. no. 6461.0.

RE L A T E D PU B L I C A T I O N S

4 The statistics shown are the latest available as at 29 July 2009.MO S T RE C E N T DA T A

1 Explanatory Notes in the form found in other ABS publications are not included in

Australian Economic Indicators. Readers are directed to the Explanatory Notes

contained in related ABS publications.

2 Australian Economic Indicators presents a statistical summary of the Australian

economy, together with international comparisons of selected economic indicators. It

also includes commentaries, articles and technical notes. Australian Economic

Indicators has been developed primarily as a reference document, providing a broad

basis for economic analysis and research.

3 The tables contain mainly ABS data, although data from other sources are included.

For ABS sourced data, the publication name and catalogue number are included in the

footnotes of the tables. If the data are from other sources, the source organisation’s

name is included in the footnotes.

I N T R O D U C T I O N


13 The chain volume measures appearing in this publication are annually-reweighted

chain Laspeyres indexes referenced to the current price values in a chosen reference year

(i.e. the year when the quarterly chain volume measures sum to the current price annual

values). Chain Laspeyres volume measures are compiled by linking together

(compounding) movements in volumes, calculated using the average prices of the

previous financial year, and applying the compounded movements to the current price

estimates of the reference year. Quarterly chain volume estimates are benchmarked to

annual chain volume estimates, so that the quarterly estimates for a financial year sum to

the corresponding annual estimate.

14 Chain volume measures are not generally additive. In other words, in general,

component chain volume measures do not sum to a total in the way original current

price components do. In order to minimise the impact of this property, the ABS uses the

latest base year as the reference year (i.e. the year prior to the latest complete financial

year). By adopting this approach, non-additivity does not exist for the quarters following

the reference year (currently 2006-07) and is relatively small for the quarters in the

reference year and the quarters immediately preceding it. A new base year and the

reference year for volume measures are updated annually in the September quarter

Australian National Accounts (Australian Economic Indicators, January issue). In the

September quarter 2008 Australian National Accounts issue, the new reference year

became 2006–07 for volume estimates. This had two effects, first, a new base year,

2006–07, was introduced which has resulted in revisions to growth rates in subsequent

periods. Second, the volume estimates have been re-referenced to 2006–07 thus

preserving additivity in the quarters after the reference year. Re-referencing changes

levels but not growth rates, although some revision to recent growth rates can be

expected because of the introduction of a more recent base year (and revisions to the

current price estimates underlying the chain volume measures).

CH A I N VO L U M E ME A S U R E S

9 Seasonal adjustment and trend estimates help the user to identify the effect of these

influences on the time series. Seasonal adjustment removes the effect of the last three

listed influences from the data, leaving only the trend and short-term irregular

movements. Trend estimates are then obtained by removing the effects of the short-term

irregularities, which in many series can be a major contributor to movements in the

original data. By comparing the historical trend series with the seasonally adjusted series,

the user can identify the short-term irregularities which have influenced the original

series.

10 Trend estimates produced by the ABS are based on Henderson Moving Averages,

and are therefore subject to revision especially for the latest few months or quarters.

11 The general methods used in the ABS for making seasonal adjustments are

described in Information paper: An Introductory Course on Time Series Analysis -

Electronic Delivery ( cat. no. 1346.0.55.001). The method used to estimate trends is

described in Information Paper: A Guide to Interpreting Time Series - Monitoring Trends

( cat. no. 1349.0).

12 The ABS uses concurrent seasonal adjustment to derive the combined adjustment

factors. This means that data from the current month are used in estimating seasonal and

trading day factors for the current and previous months. Concurrent adjustment can

result in revisions each month to estimates for earlier periods. However, in most

instances, the only noticeable revisions will be to the combined adjustment factors for

the current month, the previous month and the same month a year ago. As a result of

the concurrent seasonal adjustment the trend estimates are also concurrently estimated.

Further information on concurrent seasonal adjustment can be found in Information

Paper: Introduction of Concurrent Seasonal Adjustment into the Retail Trade Series,

1999 ( cat. no. 8514.0).

SE A S O N A L L Y AD J U S T E D AN D

TR E N D ES T I M A T E S continued


EX P L A N A T O R Y N O T E S

19 Deca (da) = ten

Hecto (h) = hundred

Kilo (k) = thousand

Mega (M) = million

Giga (G) = thousand million

Tera (T) = million million

ME T R I C PR E F I X E S

15 Columns in bold in the tables indicate a total. Columns usually sum from the left,

with the total appearing on the right. A major exception is the balance of payments and

international investment position data in Chapter 2. These data sum from the right with

the total appearing on the left – in keeping with the international standard for these

statistics. Some tables include subtotal columns and columns which need to be

subtracted to obtain the total. Where this is not clear a footnote explains the relationship

between the columns.

16 Columns in italics indicate that seasonally adjusted or trend estimates are not

available for that column, and original data are provided instead.

17 Yearly periods shown as, e.g. 2007–08, refer to the fiscal year ended 30 June 2008.

18 Where figures have been rounded, discrepancies may occur between sums of the

component items and totals. Percentage changes may not be exactly comparable to

tabulated source series due to rounding of the source series, the percentage change

series or both.

OT H E R US A G E S


EX P L A N A T O R Y N O T E S

AB B R E V I A T I O N S . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

United States of AmericaUSA

total factor incomeTFI

sport utility vehicleSUV

Standard International Trade ClassificationSITC

Standard and Poor's Australian Stock Exchange top 200S&P/ASX 200

Reserve Bank of AustraliaRBA

public non-financial corporationsPNFC

private gross fixed capital formationPGFCF

public financial corporationsPFC

Organisation for Economic Co-operation and DevelopmentOECD

net worthNW

net operating balanceNOB

net lending/borrowingNLB

non-bank financial intermediaryNBFI

not elsewhere specifiedn.e.s.

not elsewhere classifiedn.e.c.

megatonneMt

million cubic metresMm³

liquefied petroleum gasLPG

kilowatt hourkWh

Government Finance StatisticsGFS

gross fixed capital formationGFCF

gross domestic productGDP

free on boardf.o.b.

European UnionEU

excludingexcl.

consumer price indexCPI

change in net worthCNW

Catalogue numbercat. no.

cost, insurance and freightc.i.f.

billion (one thousand million)b

Australian Stock ExchangeASX

Association of South-East Asian NationsASEAN

Australian and New Zealand Standard Industrial ClassificationANZSIC

Australian Harmonised Export Commodity ClassificationAHECC

automatic data processingADP

Australian Bureau of StatisticsABS

Australian Bureau of Agricultural and Resource EconomicsABARE

million dollars$m

thousand'000


APP E N D I X IN D E X OF FE A T U R E AR T I C L E S . . . . . . . . . . . . . . . . . . . . . .

3-8Impact of the Drought on Australian Production in 2002-2003Jan 2003

13-22Updating the Experimental Composite Leading Indicator of the Australian Business Cycle: December Quarter 2002Mar 2003

3-11Foreign Ownership Characteristics of Information Technology Businesses in Australia, 2000-2001Mar 2003

3-14An Information and Communication Technology Satellite AccountApr 2003

3-7Do Job Vacancies Provide A Leading Indicator of Employment Growth?May 2003

17-26Updating the Experimental Composite Leading Indicator of the Australian Business Cycle: March Quarter 2003Jun 2003

3-15Revised Household Income Distribution StatisticsJun 2003

3-14A Quality Assessment of the National Accounts Information SystemJul 2003

19-22Population, Participation and Productivity - Contributions to Australia‘s Economic GrowthAug 2003

13-17Expanding the Use of Indicators of Sampling Error in ABS Economic Statistics PublicationsAug 2003

3-12Trend Estimates and Unusual Real Events in ABS StatisticsAug 2003

11-20Updating the Experimental Composite Leading Indicator of the Australian Business Cycle: June Quarter 2003 (Final Issue)Sep 2003

3-9Cessation of the Composite Leading IndicatorSep 2003

21-24Statistical Treatment of the 2003 Rugby World CupOct 2003

13-19The Underground Economy and Australia’s GDPOct 2003

7-11Analytical Living Cost Indexes for Selected Australian Household Types: Update to June 2003Oct 2003

3-5Impact Of 2003-2004 Farm Season on Australian ProductionOct 2003

3-10Understanding the Building Lifecycle by its Cyclical NatureDec 2003

21-26Foreign Ownership of EquityJan 2004

15-20Statistical Treatment of Economic Activity in the Timor SeaJan 2004

3-14Australia’s Exporters, 2002-2003Jan 2004

3-11Leading Indicators of EmploymentApr 2004

17-23Measuring Price Change in the Australian EconomyJul 2004

9-15Supply and Use Tables and the Quarterly National AccountsJul 2004

3-8Unemployment and Participation Rates in Australia: A Cohort AnalysisJul 2004

3-9Analytical Living Cost Indexes for Selected Australian Household Types: Update to June 2004Sep 2004

11-16Use Of Arima Modelling to Reduce RevisionsOct 2004

3-8Seasonally Adjusted and Trend Estimates for the Consumer Price Index (CPI)Dec 2004

3-6Purchasing Power Parities and Real Expenditures - 2002 Benchmark Results for OECD CountriesMar 2005

3-10The Terms of Trade and the National AccountsApr 2005

9-10Automotive Fuel in the Consumer Price IndexJul 2005

3-8Household Water Use and Effects of the DroughtJul 2005

11-19Issues With Seasonal Adjustment of Hours WorkedSep 2005

3-9Analytical Living Cost Indexes for Selected Australian Household Types: Update to June 2005Sep 2005

3-10Estimating and Removing the Effects of Chinese New Year and Ramadan to Improve the Seasonal Adjustment ProcessNov 2005

13-20The International Comparison Program and Purchasing Power ParitiesDec 2005

3-11100 Years of Statistics in AustraliaDec 2005

3-15A Statistical Overview of TourismJan 2006

3-14Recent Taxation Revenue Trends In AustraliaMar 2006

3-8Foreign Ownership of EquityApr 2006

3-11A Statistical Overview of the Construction IndustryAug 2008

3-7A Spotlight on Quarterly Labour ProductivityNov 2008

3-10When it's not "Business-as-usual": Implications for ABS time seriesAug 2009

Page noTitleIssue

INDEX OF FEATURE ARTICLES PUBL ISHED IN AUSTRAL IAN ECONOMIC INDICATORS


3-8Using the Unemployment Rate Series to Illustrate the Seasonal Adjustment ProcessMay 2000


9-16The Impact of the New Tax System on ABS StatisticsJul 2000

3-8What Dominates Movements in ABS Seasonally Adjusted Time Series?Jul 2000

3-11The Sydney Olympic GamesAug 2000

13-22Updating the Experimental Composite Leading Indicator of the Australian Business Cycle: June Quarter 2000Sep 2000

3-11Australian Tourism Satellite AccountSep 2000

11-14Treatment of Insurance Services in the Australian Consumer Price Index (Keith Woolford)Oct 2000

3-10Australia’s International Trade in Services by StateOct 2000

3-5International Comparison of Balance of Payments StatisticsNov 2000

11-20Updating the Experimental Composite Leading Indicator of the Australian Business Cycle: September Quarter 2000Dec 2000

3-10Measuring the impact of the New Tax System on the September Quarter 2000 Consumer Price IndexDec 2000



33-55Household Income and its Distribution (Professor Peter Saunders)Jun 2001

13-32Household Income, Living Standards and Financial Stress (Bob McColl, Leon Pietsch and Jan Gatenby)Jun 2001

3-12Analytical Living Cost Indexes for Selected Australian Household Types (Keith Woolford)Jun 2001

7-13Unpaid Work and the Australian EconomyJul 2001

3-5Ownership Characteristics of Businesses Undertaking Capital Expenditure in Australia 1998-1999Jul 2001

9-17New Chain Volume Estimates for the Services SectorAug 2001

3-8Real / Volume Balance Sheet for AustraliaAug 2001


9-14Experimental State Dissections of Industry DataSep 2001

3-8Internet Activity, AustraliaSep 2001

3-10The Relationship Between Changes In Interest Rates And Building ApprovalsNov 2001


3-15Saving, Borrowing, Investment And WealthDec 2001

27-29Technical Note: International trade in education servicesJan 2002

13-18Foreign ownership of equityJan 2002

3-12Further Developments In The Analysis Of Productivity Growth In AustraliaJan 2002

31-37Technical Note: Statistics on Sales of New Motor VehiclesMar 2002


9-20Purchasing Power Parities and Real Expenditures - 1999 Benchmark Results for OECD CountriesMar 2002

3-8Foreign Ownership Characteristics of Information Technology BusinessesMar 2002

39-41Technical Note: Introducing Real Net National Disposable Income - A New National Accounts MeasureApr 2002

31-38Technical Note: Treatment of Foreign Exchange Gains and Losses In Macro-Economic StatisticsApr 2002

17-23Measuring Australia‘s Foreign Currency ExposureApr 2002

9-16Seasonally Adjusting the Wage Cost Index: Experimental EstimatesApr 2002

3-8Upgrading Household Income Distribution StatisticsApr 2002

3-7Measuring Australia’s ProgressMay 2002


9-11Real Gross State Domestic IncomeJul 2002

3-7Changes to Economic Statistics as a Result Of Taxation ReformJul 2002

3-11Foreign Ownership Characteristics of Businesses Undertaking Research and Experimental Development Activity in AustraliaAug 2002


9-22Accounting for the Environment in the National AccountsOct 2002

3-8New Experimental Estimates of the Distribution of Australian Household WealthOct 2002


21-30Analytical Living Cost Indexes for Selected Australian Household Types: An UpdateDec 2002

3-20Volatility of Labour Force EstimatesDec 2002

Page noTitleIssue

INDEX OF FEATURE ARTICLES PUBL ISHED IN AUSTRAL IAN ECONOMIC INDICATORS co n t i n u e d


A P P E N D I X • I N D E X OF FE A T U R E A R T I C L E S

vii-xiiiGovernment Redistribution of Income in Australia 1993-94Aug 1996

vii-xiExperimental Composite Leading Indicator: June Quarter 1996Sep 1996

vii-xiiAustralia’s Tradable Sector (Leanne Johnson and Genevieve Knight)Oct 1996

vii-xivHow Does Fathers Day Affect Retail Trade?Dec 1996

xv-xxExperimental Composite Leading Indicator: September Quarter 1996Dec 1996

vii-xiiImpact of the 1995-96 Farm Season on Australian Production (Charles Aspden)Jan 1997

vii-viiiTelephone Interviewing - Effect on Labour Force Survey EstimatesMar 1997

ix-xivExperimental Composite Leading Indicator: December Quarter 1996Mar 1997

vii-xiiWomen in Small BusinessApr 1997

vii-xivEarnings StatisticsJun 1997

xv-xxExperimental Composite Leading Indicator: March Quarter 1997Jun 1997

vii-xviReview of the Experimental Composite Leading IndicatorJul 1997

vii-xiiExperimental Composite Leading Indicator: June Quarter 1997Sep 1997

vii-xviNew Business ProvisionsOct 1997

ix-xiiiAre Recent Labour Force Estimates More Volatile? (Cynthia Kim)Dec 1997

xv-xviiInvestigations of Volatility in the Labour Force Survey (Philip Bell)Dec 1997

xix-xxivExperimental Composite Leading Indicator: September Quarter 1997Dec 1997

viiAustralian Tourism Satellite Account: Development CommencesJan 1998

ix-xviiAn Introduction to Tourism Satellite Accounts (Carl Obst)Jan 1998

3-7Australian Globalisation Statistics: Past, Present and Future (Geoff Robertson and Mark Lound)Mar 1998

9-11Trade-Weighted Index: Method of CalculationMar 1998

13-18Experimental Composite Leading Indicator: December Quarter 1997Mar 1998

3-8Alternative Measures of the Effects of Exchange Rate Movements on CompetitivenessApr 1998

3-6Can Labour Force Estimates be Improved Using Matched Sample Estimates? (Philip Bell)May 1998

3-5Sales Tax - Reprinted from the Australian Taxation Office - Taxation Statistics 1995-96Jun 1998

7-12Experimental Composite Leading Indicator: March Quarter 1998Jun 1998

3-14Revisions to Quarterly Economic Growth Rates 1984 to 1993Jul 1998

15-17Improving the Quality of the National AccountsJul 1998

3-7Direct Movement Estimator for the Survey of Average Weekly Earnings (Richard McKenzie and Gabriela Lawrence)Aug 1998

9-17Experimental Composite Leading Indicator: June Quarter 1998Sep 1998

3-8Measuring International Portfolio Investment (Boke L Nkoy)Sep 1998

3-5Improvements to Trend Estimation for National Accounts AggregatesOct 1998

3-8Modifications to the Reserve Bank of Australia’s Commodity Price IndexNov 1998

15-24Experimental Composite Leading Indicator: September Quarter 1998Dec 1998

3-14Population Projections 1997 to 2051Dec 1998

3-11Economic and Financial Monitoring (John Hawkins)Jan 1999

3-12Experimental Composite Leading Indicator: December Quarter 1998Mar 1999

3-10Seasonal Influences on Retail Trade for December 1998Apr 1999

15-24Surveying Non-Employers and Micro-Businesses in the Construction IndustryMay 1999

3-13Easter Holiday Effects in Retail TurnoverMay 1999

3-12Experimental Composite Leading Indicator: March Quarter 1999Jun 1999

3-9The New Method for Seasonally Adjusting Crop Production Data (Helen Stockdale)Jul 1999

3-16Upgrade of Capital Stock and Multifactor Productivity EstimatesAug 1999

3-13Experimental Composite Leading Indicator: June Quarter 1999Sep 1999

13-17Impact of Y2K and the Sydney Hailstorm on the National AccountsOct 1999

3-11Training Australia’s Workers (Michael Overall)Oct 1999


3-8Why are there differences between two seasonally adjusted measures of Australian total employment? (Jeff Cannon)Dec 1999

3-9Experimental Price Indexes for Age Pension Households: an UpdateJan 2000


Page noTitleIssue




xi-xivChange in Base Year of Constant Price National Accounts from 1984-85 to 1989-90Mar 1993

xi-xviInput-Output Tables: Describing the Shape of Australia’s Economy (Dr Annette Barbetti)Apr 1993

xi-xviiiAn Experimental Composite Leading Indicator of the Australian Business Cycle (Gérard Salou and Cynthia Kim)May 1993

xi-xviThe Economic Importance of Sport and Recreation (Carol Soloff)Jun 1993

xi-xivExperimental Price Indexes for Age Pensioner Households: An UpdateJul 1993

xv-xviiExperimental Composite Leading Indicator: March Quarter 1993Jul 1993

xi-xviiiMajor ABS ClassificationsAug 1993

xi-xviThe Timeliness of Quarterly Income and Expenditure Accounts: An International Comparison (Philip Smith, Statistics Canada)Sep 1993

xvii-xixExperimental Composite Leading Indicator: June Quarter 1993Sep 1993

xi-xvAustralian and New Zealand Standard Industrial Classification: Closer Statistical RelationsOct 1993

xi-xviPopulation Change and Housing Demand (John Cornish)Nov 1993

xi-xviiUnderstanding Labour Costs (Geoff Neideck)Dec 1993

xix-xxiExperimental Composite Leading Indicator: September Quarter 1993Dec 1993

xi-xviiiPredicting Private New Capital Expenditure Using Expectations Data (Derek Burnell)Jan 1994

xi-xviImpact of Refinancing on Housing Finance Statistics (John Carson)Mar 1994

xvii-xixExperimental Composite Leading Indicator: December Quarter 1993Mar 1994

xi-xvAustralia’s Motor Vehicle Fleet Grows Older (Rodney Taylor)Apr 1994

xi-xv‘Real’ Estimates in the National AccountsMay 1994

xi-xviThe Dynamics of Long-term Unemployment (John Preston and Judy Harwood)Jun 1994

xvii-xixExperimental Composite Leading Indicator: March Quarter 1994Jun 1994

xi-xviiProjections of Australia’s Population Growth and Distribution (John Paice)Jul 1994

xi-xviiLabour Force Participation Rate Projections to 2011 (Steven Kennedy)Aug 1994

xi-xviBusiness Expectations Survey (Frank Parsons and Dick Sims)Sep 1994

xvii-xixExperimental Composite Leading Indicator: June Quarter 1994Sep 1994

xi-xviiLabour Force Projections to 2011 (Steven Kennedy)Oct 1994

xi-xvRelative Earnings: Public and Private Sector (John Preston and Louise May)Nov 1994

xi-xivUnpaid Work and the Australian EconomyDec 1994

xv-xxiiExperimental Composite Leading Indicator: September Quarter 1994Dec 1994

xi-xiiiA Guide to Interpreting Time Series (John Zarb)Jan 1995

xi-xviEmployees and Their Working ArrangementsMar 1995

xvii-xxiiiExperimental Composite Leading Indicator: December Quarter 1994Mar 1995

xi-xixRenters in AustraliaApr 1995

xi-xvTraining Australia’s Workers (Karen Collins and Michelle Law)May 1995

xi-xviSifting the Signals from the Noise (Andrew Sutcliffe)Jun 1995

xvii-xxiiiExperimental Composite Leading Indicator: March Quarter 1995Jun 1995

xi-xivA Framework for Household Income Consumption Saving and Wealth (Maureen McDonald and Natalie Bobin)Jul 1995

xi-xxiiValuing Australia’s Natural Resources - Part 1Aug 1995

xi-xvExperimental Price Indexes for Age Pensioner Households: An Update (John Higgins)Sep 1995

xvii-xxiiReview of the Experimental Composite Leading Indicator: The Housing Finance Component (Daniel O’Dea)Sep 1995

xxiii-xxixExperimental Composite Leading Indicator: June Quarter 1995Sep 1995

xi-xixValuing Australia’s Natural Resources - Part 2Oct 1995

xi-xviMeasuring Teenage Unemployment (Judy Daniel and Jane Wallwork)Nov 1995

xvii-xxRecent Trends in Labour Force Participation (John Preston and Karen Quine)Nov 1995

xi-xvA Comparison of the World Bank and ABS Wealth EstimatesDec 1995

xvii-xxiiiExperimental Composite Leading Indicator: September Quarter 1995Dec 1995

xi-xviiSense and Sensitivity (Nicola J Chedgey)Jan 1996

xi-xvTrends in the Female-Male Earnings Ratio (John Preston)Mar 1996

xi-xviiSeasonal and Trading Day Influences on Retail Turnover (Jeff Cannon)Apr 1996

xix-xxiiiExperimental Composite Leading Indicator: December Quarter 1995Apr 1996

xiii-xviiiExperimental Composite Leading Indicator: March Quarter 1996Jun 1996

Page noTitleIssue




xi-xivIs the Consumer Price Index Seasonal? (John Zarb)Feb 1991

xi-xviPicking Turning Points in the Economy (Susan Linacre and John Zarb)Apr 1991

xi-xxiMeasuring Employment and UnemploymentMay 1991

xi-xxiMerchandise Export and Import Statistics by Country - Factors Affecting Bilateral Reconciliations (Bob McColl and John Quinn)Jun 1991

xi-xvThe Census of Population and HousingJul 1991

xi-xvA Time Series Decomposition of Retail Trade (John Zarb)Aug 1991

xi-xvThe Role of a Business Register in a Statistical System (Geoff Lee and Leon Pietsch)Sep 1991

xi-xviiiRecent Trends in Overseas Migration (Jennie Widdowson and Chris Ryan)Oct 1991

xi-xvMeasuring Inflation (Tony Johnson)Nov 1991

xi-xivBuilding Approvals and Housing Finance Statistics - Do They Tell The Same Story? (Graydon Smith)Dec 1991

xi-xivManaged Funds in Australia (Dene Baines and Suzanne Hartshorn)Feb 1992

xi-xviSmarter Data Use (John Zarb)Mar 1992

xi-xiiiInternational Comparisons of Gross Domestic Product at Purchasing Power ParityApr 1992

xi-xviiiGovernment Redistribution of Income (Judith White and Horst Posselt)May 1992

xi-xivEnvironment Statistics: Frameworks and DevelopmentsJun 1992

xv-xxiiiThe Timing of Quarterly Commonwealth Budget Sector OutlaysJun 1992

xi-xviiiIntroduction to Financial AccountsJul 1992

xi-xvThe Business Cycle in Australia: 1959 to 1992 (Gérard Salou and Cynthia Kim)Aug 1992

xi-xviState Accounts: Trends in State and Territory Economic Activity (Tony Johnson)Sep 1992

Leading Indicators of the Australian Business Cycle: Performance Over the Last Two Decades (Gérard Salou and Cynthia Kim)Oct 1992

xi-xviAustralia’s Foreign Debt (Jane Griffin-Warwicke)Nov 1992

xi-xvTourism: A Statistical OverviewDec 1992

xvi-xviiHousing Characteristics and Decisions: A Comparative Study of Sydney, Melbourne, Adelaide and CanberraDec 1992

Page noTitleIssue




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© Commonwealth of Australia 2009Produced by the Australian Bureau of Statistics

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AUSTRALIAN ECONOMIC INDICATORS...AUSTRALIAN ECONOMIC INDICATORS AUGUST 2009 1350.0 For further information about these and related statistics, contact the National Information and