agricultural commoditiesdata.daff.gov.au/.../agcommodities201312_1.0.0.pdf · abares 2013,...

153
Agricultural commodities Research by the Australian Bureau of Agricultural and Resource Economics and Sciences DECEMBER QUARTER 2013

Upload: others

Post on 24-Jul-2020

5 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

Agricultural commodities

Research by the Australian Bureau of Agricultural and Resource Economics and Sciences

DECEMBER QUARTER 2013

Page 2: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

© Commonwealth of Australia 2013

Ownership of intellectual property rights Unless otherwise noted, copyright (and any other intellectual property rights, if any) in this publication is owned by the Commonwealth of Australia (referred to as the Commonwealth).

Creative Commons licence All material in this publication is licensed under a Creative Commons Attribution 3.0 Australia Licence, save for content supplied by third parties, logos and the Commonwealth Coat of Arms.

Creative Commons Attribution 3.0 Australia Licence is a standard form licence agreement that allows you to copy, distribute, transmit and adapt this publication provided you attribute the work. A summary of the licence terms is available from creativecommons.org/licenses/by/3.0/au/deed.en. The full licence terms are available from creativecommons.org/licenses/by/3.0/au/legalcode.

This publication (and any material sourced from it) should be attributed as ABARES 2013, Agricultural commodities: December quarter 2013. CC BY 3.0.

Cataloguing data ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra.

ISSN 189-5619 (printed) ISSN 189-5627 (online) ISBN 978-1-74323-166-1 (printed) ISBN 978-1-74323-165-4 (online) ABARES project 43006

Internet Agricultural commodities: December quarter 2013 is available at daff.gov.au/abares/publications.

Contact Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES)

Postal address GPO Box 1563 Canberra ACT 2601 Switchboard +61 2 6272 2010 Facsimile +61 2 6272 2001 Email [email protected] Web daff.gov.au/abares

Enquiries about the licence and any use of this document should be sent to [email protected].

The Australian Government acting through the Department of Agriculture represented by the Australian Bureau of Agricultural and Resource Economics and Sciences, has exercised due care and skill in preparing and compiling the information and data in this publication. Notwithstanding, the Department of Agriculture, ABARES, its employees and advisers disclaim all liability, including liability for negligence, for any loss, damage, injury, expense or cost incurred by any person as a result of accessing, using or relying upon any of the information or data in this publication to the maximum extent permitted by law.

Page 3: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

Economic overview 6

Agriculture 31

Crops

Wheat 32

Coarse grains 39

Oilseeds 48

Sugar 58

Cotton 64

Livestock

Beef and veal 76

Sheep 84

Dairy 91

High performing farms 97

Boxes

Agriculture in northern Australia 19

Effect of the Queensland drought on livestock and crop production 22

Effect of the Queensland drought on farm financial performance 25

Indian soybean industry 50

Adoption of genetically modified cotton 67

Major financial performance indicators 100

Statistical tables 101

Report extracts 144

ABARES contacts 149

Contents

Page 4: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource
Page 5: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

Outlook 20144–5 March, Canberra

2014

Registrations are open for Outlook 2014 – the leading forum for Australia’s primary industries.

The theme for Outlook 2014 is ‘Realising the Opportunities’. This reflects evolving conversations in rural communities, from identifying innovations and export opportunities to positioning our industries to take advantage of those prospects.

ABARES has confirmed leading national speakers and producers, plus international speakers from the G20, Peking University, the European Commission, the United States Department of Agriculture and the Organisation for Economic Co-operation and Development.

Be part of the ABARES Outlook 2014 conference and examine the major issues for Australia’s primary industries; understand the short to long-term outlook for a range of commodities; explore industry issues; and talk directly with public and private sector decision-makers.

Discover the full program and register online daff.gov.au/abares/outlook

InquiriesMaree Finnegan Phone +61 2 6272 2260 Email [email protected]

Page 6: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource
Page 7: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

Economic overview

Page 8: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

6 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Economic overviewFaraz Syed, Jenny Eather and Brian Moir

• World economic growth is assumed to weaken from 3.2 per cent in 2012 to 2.8 per cent in 2013, before improving to 3.4 per cent in 2014.

• The outlook for many emerging economies has weakened in recent months, but they are expected to continue to be the main drivers of world growth.

• Economic growth in OECD economies is assumed to remain slow. The recovery is expected to continue in the United States and Europe in 2014. In Japan, growth is assumed to slow in 2014, mainly because of a planned value-added tax increase.

• The Australian dollar depreciated by 16 per cent against the US dollar between mid April and early August, and has remained volatile since. It is assumed to average around US92 cents in 2013–14.

Global economic growth expected to recover gradually in 2014Global economic growth has been relatively subdued since the beginning of 2013. Recovery in OECD countries has been slow. Activity in emerging economies, particularly in Asia, continues to underpin world economic growth. However, the outlook for some emerging economies has weakened in recent months because of concerns about capital outflows and exchange rate volatility.

World economic growth

%

a ABARES assumption.

1

–1

2

3

4

5

6

2014a20122010200820062004200220001998

Page 9: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

7

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Demand in OECD countries is improving, but is expected to remain relatively weak in the short term. In the United States, private sector demand is expected to continue its gradual recovery in 2014, despite a relatively subdued labour market, uncertainty regarding the US government debt ceiling and a possible slowdown in the pace of asset purchases by the Federal Reserve. Western Europe is assumed to return to growth in 2014, after pulling out of recession in 2013.

In preparing this set of agricultural commodity forecasts, world economic growth is assumed to average 2.8 per cent in 2013 and improve to around 3.4 per cent in 2014. For OECD economies as a whole, economic growth is assumed to be around 1.1 per cent in 2013, before strengthening to 1.8 per cent in 2014.

For emerging economies, growth is expected to slow in 2013, although it remains high compared with the world average. In many emerging economies, domestic demand has been relatively robust, sustaining economic growth despite weak external demand. Economic growth in developing countries as a whole is assumed to average 5.0 per cent in 2013, before strengthening to 5.3 per cent in 2014.

Regional economic growth

%world

Russian Federation,Ukraine and Eastern Europe

Latin America

non-OECD Asia

OECD

20122013a

2014a

a ABARES assumption.

1

2

3

4

5

6

7

Page 10: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

8

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Key macroeconomic assumptionsKey macroeconomic assumptionsKeymacroeconomicassumptions

ld

y pWorld unit 2011 2012 2013 a 2014 aEconomic  growthOECD % 1.6 1.2 1.1 1.8Economic  growthOECD %  1.6  1.2  1.1  1.8United States % 1 8 2 8 1 5 2 2United States %  1.8  2.8  1.5  2.2Japan % 0 6 2 0 1 8 1 2Japan % –0.6  2.0  1.8  1.2W t E % 1 7 0 1 0 2 1 1Western Europe %  1.7 –0.1  0.2  1.1– Germany %  3.4  0.9  0.5  1.4y– France %  2.0  0.0  0.1  0.8 France %  2.0  0.0  0.1  0.8– United Kingdom %  1.1  0.2  1.4  1.8– United Kingdom %  1.1  0.2  1.4  1.8– Italy % 0 4 –2 4 –1 8 0 3– Italy %  0.4 –2.4 –1.8  0.3Korea Rep of % 3 7 2 0 2 7 3 5Korea, Rep. of %  3.7  2.0  2.7  3.5New Zealand % 1 4 2 7 2 7 3 0New Zealand %  1.4  2.7  2.7  3.0

Developing countries %  6.7  5.6  5.0  5.3Developing countries %  6.7  5.6  5.0  5.3– non‐OECD Asia % 8.1 6.6 6.3 6.3– non‐OECD Asia %  8.1  6.6  6.3  6.3

South East Asia b % 4 5 6 1 5 0 5 3      South‐East Asia  b %  4.5  6.1  5.0  5.3Chi % 9 3 7 7 7 7 7 5      China  c %  9.3  7.7  7.7  7.5Tai an % 4 1 1 3 1 8 2 8      Taiwan %  4.1  1.3  1.8  2.8Si      Singapore %  5.2  1.3  3.4  3.6g p

      India %  6.3  3.2  4.7  4.7      India %  6.3  3.2  4.7  4.7– Latin America %  4.6  3.0  2.7  3.0 Latin America %  4.6  3.0  2.7  3.0Russian Federation % 4.3 3.4 1.5 2.8Russian Federation %  4.3  3.4  1.5  2.8Ukraine % 5 2 0 2 0 4 1 5Ukraine %  5.2  0.2  0.4  1.5Eastern Europe % 5 2 1 6 2 3 2 7Eastern Europe %  5.2  1.6  2.3  2.7W ld d % 4 0 3 2 2 8 3 4World  d %  4.0  3.2  2.8  3.4

InflationUnited States % 3 2 2 1 1 6 1 9InflationUnited States %  3.2  2.1  1.6  1.9

Interest ratesUS prime rate  e % 3.3 3.3 3.3 3.3Interest ratesUS prime rate  e %  3.3  3.3  3.3  3.3

unit 2010–11 2011–12 2012–13 2013–14 aAustraliaAustraliaEconomic growth % 2 4 3 4 2 8 2 5Economic growth % 2.4 3.4 2.8 2.5I fl ti % 3 1 2 4 2 3 2 3Inflation  % 3.1 2.4 2.3 2.3Interest rates  g %  6.6  6.2  5.2  4.7Interest rates  gAustralian exchange ratesAustralian exchange ratesUS$/A$ 0 99 1 03 1 02 0 92US$/A$   0.99  1.03  1.02  0.92

$TWI for A$  h 74 76 77 72$a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

a ABARES assumption. b Indonesia, Malaysia, Philippines, Thailand and Vietnam. c Excludes Hong Kong. dWeighted using 2012 purchasing‐power‐parity (PPP) valuation of country gross domestic product by the International Monetary Fund. e Commercial bank prime lending rates in the United States. g Large business weighted average variable rate on credit outstanding.h Base: May 1970 = 100.Sources: ABARES; Australian Bureau of Statistics; International Monetary Fund; Organisation for Economic Co‐operation and Development; Reserve Bank of Australia

Page 11: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

9

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Economic prospects in Australia’s major export markets

United StatesEconomic activity in the United States remained subdued in the second half of 2013 partly because of continued government spending cuts. Real gross domestic product rose at a year-on-year rate of 1.8 per cent in the September quarter 2013, following growth of 1.6 per cent in the June quarter and 1.3 per cent in the March quarter.

Failure by the US Congress to agree to raise the debt ceiling in early October 2013 resulted in the government shutting down for 16 days. Although an agreement on temporary measures was reached, the reduction in government spending adversely affected financial market confidence and US economic activity in the December quarter 2013.

Spending by the US public sector declined at a year-on-year rate of 2.7 per cent in the September quarter 2013, after a decline of 2.0 per cent in the June quarter. Cuts in government spending have been concentrated at the federal level, where spending declined by 6.5 per cent year-on-year in the September quarter, after falling 4.1 per cent in the June quarter. Most spending cuts in 2013 have been to national defence. According to the International Monetary Fund, fiscal constraints have comprised 2.5 per cent of gross domestic product in 2013, although they are expected to have a smaller impact in 2014.

Growth in industrial production strengthened in the September quarter 2013, expanding by 2.5 per cent year-on-year compared with 2 per cent in the June quarter, but remaining below the 4 per cent of 2012 as a whole. Real export growth has also improved in recent quarters, increasing at a year-on-year rate of 2.8 per cent in the September quarter 2013, compared with 2.0 per cent and 1.0 per cent in the June and March quarters respectively. These gains were partly offset by higher imports in September 2013.

Consumer spending, which accounts for two-thirds of gross domestic product, expanded at 1.8 per cent in the September quarter 2013, following growth of 1.9 per cent in the March and June quarters.

The US labour market has been recovering slowly. The unemployment rate in October was 7.3 per cent, compared with 7.6 per cent in June. However, the labour force shrank by 720 000 workers in October, leaving the participation rate at 62.8 per cent, a reduction of 1 percentage point from October 2012 and its lowest level in 35 years. This was partly because of the government shutdown. However, labour force participation has been declining in recent years as more workers are discouraged by poor job prospects.

Expectations that the US Federal Reserve will tighten monetary policy in the next few months have led to higher mortgage rates. Activity in the housing market has softened with new home sales falling in September.

Page 12: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

10

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

US labour market

% %

Unemployment rateParticipation rate(right axis)

3

6

9

12

15

63

64

65

66

67

Oct2013

Oct2012

Oct2011

Oct2010

Oct2009

Oct2008

Economic growth in the United States is assumed to average 1.5 per cent in 2013, strengthening to 2.2 per cent in 2014. However, considerable uncertainty associated with the government debt ceiling hangs over the outlook. Government funding is assured only until 15 January 2014 and the debt ceiling is suspended only until 7 February 2014.

ChinaReal gross domestic product expanded at a year-on-year rate of 7.8 per cent in the September quarter 2013, up from 7.5 per cent in the June quarter and 7.7 per cent in the March quarter. Growth has now remained below 8 per cent for six straight quarters.

Modest strengthening across a range of indicators in the September quarter has helped allay fears of a sharp growth slowdown after a credit crunch in June. Domestic demand showed signs of improvement in the three months to September 2013, with investment in fixed assets expanding at a year-on-year rate of 20.4 per cent, compared with the 19.8 per cent growth recorded in the second quarter. Retail sales have also strengthened, growing by 13.4 per cent year-on-year in the September quarter, up from a recent low of 12.4 per cent in the March quarter.

Growth in industrial production has shown signs of recovery in recent months, with year-on-year growth exceeding 10 per cent in August 2013 for the first time since 2012. However, export growth has been relatively weak. Exports grew at a year-on-year rate of 4 per cent in the September quarter 2013, compared with 8 per cent for the first nine months of 2013 and for 2012 as a whole. This compares with an average annual growth rate of 18 per cent over the two decades to 2011.

Page 13: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

11

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Partial indicators in China, year-on-year growth

%

Investment in �xed assetsRetail salesIndustrial production

5

10

15

20

25

30

Sep2013

Mar2013

Sep2012

Mar2012

Sep2011

Mar2011

Sep2010

Mar2010

In September, consumer prices increased at a year-on-year rate of 3.1 per cent, up from 2.6 per cent a month earlier. The increase was driven by food prices, which increased by 6.1 per cent as droughts in some regions and floods in others affected harvests. Non-food prices increased by only 1.6 per cent and inflation remains below the government target of 3.5 per cent.

Inflation rate in China

%

1

2

3

4

5

Sep2013

Jun2013

Mar2013

Dec2012

Sep2012

Jun2012

Mar2012

Dec2011

Page 14: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

12

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Growth is expected to moderate slightly in 2014, as the government starts implementing reforms. Since late last year, the Chinese Government has frequently stated that it is committed to reforming the economy, even if it means sacrificing some short-term growth. Several reforms have been announced following the November 2013 meeting of the government’s Central Committee, including encouraging private investment in state-owned enterprises, strengthening farmers’ land rights and accelerating reform of the financial system. However, much of the policy detail and timing of reforms remains to be announced.

A slowdown in credit growth is also expected to affect economic growth over the outlook period. Policymakers have been reluctant to promote rapid growth in credit to stimulate the economy because of concerns about financial system stability. In October 2013 the volume of new loans issued to consumers and businesses fell by 36 per cent compared with the previous month.

In preparing this set of agricultural commodity forecasts, economic growth in China is assumed to average 7.7 per cent in 2013 before moderating to 7.5 per cent in 2014.

JapanEconomic activity in Japan has strengthened in recent months, expanding at a year-on-year rate of 2.7 per cent in the September quarter, compared with growth of 1.1 per cent in the June quarter and 0.3 per cent in the March quarter.

In October 2013 the Japanese Government announced an increase in sales tax from 5.0 per cent to 8.0 per cent to take place from 1 April 2014. This measure was taken in response to concern about Japan’s public sector debt, which is equal to around 240 per cent of its gross domestic product. The increase in sales tax is expected to moderate growth in 2014, although this may be partially offset by further monetary easing or additional fiscal stimulus.

Public sector demand increased by 4.8 per cent year-on-year in the September quarter 2013, compared with 3.5 per cent in the June and March quarters. After falling by 0.1 per cent in March and growing by 0.5 per cent in June, private sector demand expanded 2.0 per cent year-on-year in the September quarter, reflecting increases in household consumption and in residential investment. Private sector demand is expected to continue to strengthen in the final quarter of 2013, as consumers bring forward their purchases before the sales tax increase in April 2014. Private non-residential investment has stabilised after declining in the first half of 2013.

Industrial production increased at a year-on-year rate of 5.1 per cent in September, following a decline of 0.4 per cent in August 2013. Most gains were in industries such as transport equipment and electronic parts and services, reflecting increased production of large passenger cars.

Merchandise exports increased 18.6 per cent year-on-year in October 2013, supported by the 23.7 per cent depreciation of the yen against the US dollar over the same period. The weaker yen also raised the price of imports, particularly fuel. The value of imports increased by 26.2 per cent year-on-year in October. With imports growing faster than exports, the trade deficit has increased and contributed to a narrowing of the current account surplus.

Consumer prices increased by 1.1 per cent year-on-year in October 2013, driven partly by the higher import prices.

In preparing this set of agricultural commodity forecasts, economic growth in Japan is assumed to average 1.8 per cent in 2013. It is assumed to ease to 1.2 per cent in 2014, reflecting a tighter fiscal policy.

Page 15: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

13

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Japan’s trade position

Trade balance

billionyen

billionyen

Exports (right axis)Imports (right axis)

Sep2013

Sep2012

Sep2011

Sep2010

Sep2009

Sep2008

Sep2007

3000

6000

9000

12 000

15 000

18 000

21 000

24 000

–3000

–2000

–1000

1000

2000

3000

4000

0

Western EuropeEconomic conditions in Western Europe improved in the September quarter 2013 year-on-year. In Germany, economic activity increased by 1.1 per cent year-on-year in the September quarter after 0.9 per cent growth in June and a contraction of 1.6 per cent in March 2013. In France, real gross domestic product increased at a year-on-year rate of 0.5 per cent in the September quarter following a similar growth rate in the June quarter.

Economic activity in the United Kingdom expanded at a year-on-year rate of 1.1 per cent in the September quarter 2013, compared with 0.9 per cent in June and 0.8 per cent in March 2013. This compares with growth of 0.1 per cent for 2012 as a whole.

Fiscal consolidation continues to act as a drag on growth in some countries, although the pace of government spending cuts declined in 2013. For the euro area as a whole, government consumption expenditure accounted for 0.1 percentage points of the year-on-year growth in the June quarter, contributing positively to growth for the first time in two years.

In response to below-target inflation and the slow rate of recovery in the euro area, the European Central Bank reduced interest rates to record lows in November 2013. The bank cut its main refinancing rate and its emergency borrowing rate by 0.25 percentage points, to 0.25 per cent and 0.75 per cent, respectively. It stated that it would continue accommodating monetary policy as long as necessary to achieve inflation close to 2.0 per cent.

Private consumption continued to rise in the September quarter but remains weak. According to the European Central Bank, the volume of retail sales in the euro area averaged 0.6 per cent higher in the September quarter than in the three months to June.

Page 16: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

14

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Industrial production index

index2010=

100

ItalyFranceGermany

Sep2013

Sep2012

Sep2011

Sep2010

Sep2009

Sep2008

United Kingdom

90

100

110

120

130

Real exports have also shown signs of recovery. German exports increased at a year-on-year rate of 0.7 per cent in the September quarter after growing by 1.1 per cent in June and contracting by 2.9 per cent in March. French exports also increased in the past two quarters, growing at a year-on-year rate of 1.0 per cent and 0.6 per cent in March and June 2013, respectively. However, in the United Kingdom, exports decreased 4.2 per cent in the September quarter, reversing gains made in the June quarter.

Despite improving export figures in some regional economies, industrial production remains weak. It fell in France and Italy in the September quarter, contracting at a year-on-year rate of 1.4 per cent and 4.2 per cent, respectively. Industrial production in Italy remains more than 30 per cent lower than before the global financial crisis.

Unemployment remains high in most European countries, with the unemployment rate reaching 12.5 per cent in Italy in September and 11.1 per cent in France. By contrast, Germany’s unemployment rate fell to 5.2 per cent in September, the lowest in decades.

In preparing this set of agricultural commodity forecasts, economic activity in Western Europe is assumed to grow by 0.2 per cent in 2013. Some recovery is expected in 2014, with growth in economic activity assumed to increase to 1.1 per cent, as private demand is supported by accommodating monetary policy and the pace of fiscal consolidation continues to slow. However, given the slow and bumpy recovery so far, there is considerable uncertainty to the outlook.

Non-OECD AsiaEconomic activity in non-OECD Asia moderated in the past few quarters, although performance was uneven. In Indonesia, real gross domestic product grew at a year-on-year rate of 5.6 per cent in the September quarter 2013, down from 5.8 per cent in June and 6.0 per cent in March. By contrast, economic growth strengthened in Malaysia because of robust domestic demand, which was buoyed by government cash transfers and increases in public sector wages. Economic activity expanded by 5.0 per cent year-on-year in the September quarter, compared with 4.3 per cent for the first half of 2013.

Page 17: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

15

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Selected Asian official interest rates

%

VietnamIndiaIndonesiaThailand

2

4

6

8

10

29 Nov2013

30 Sep2013

31 Jul2013

31 May2013

31 Mar2013

31 Jan2013

In response to moderating growth, most countries in the region adopted accommodating monetary or fiscal policy to support demand in the first five months of 2013. However, since May, some countries have raised interest rates amid concerns about capital outflows. Intermediate and long-term Treasury bond yields in the United States increased in May and June, resulting in narrower interest rate differentials between US bonds and emerging market assets. Capital inflows that had been attracted by relatively high interest rates in some Asian countries began to reverse, leading to increased inflationary pressures through the effect of depreciating exchange rates.

Capital outflows were particularly significant in India and Indonesia. In India, the rupee fell by more than 20 per cent against the US dollar between the beginning of May and the end of August as investors sold off Indian assets in the face of concerns about the sustainability of India’s fiscal and current account deficits. Recent imposition of controls on capital movements and domestic interest rate increases have helped reverse the fall in the value of the rupee. However, tighter monetary policy can be expected to impede growth.

Growth in Asia

2014a

2013a

2012

Korea,Republic of

TaiwanIndia

China

Singapore

Vietnam

Philippines

Malaysia

Indonesia

Thailand

%

2

4

6

8

10

a ABARES assumption.

Page 18: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

16

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

For non-OECD Asia, economic activity is assumed to grow by 6.3 per cent in both 2013 and 2014. Many countries in the region will benefit from an assumed increase in demand from Europe and the United States in 2014, although growth in Indonesia is assumed to slow as interest rate increases over the last six months of 2013 are expected to reduce domestic demand.

Economic prospects in AustraliaEconomic growth slowed in the September quarter 2013, when real gross domestic product grew at a year-on-year rate of 2.3 per cent compared with growth of 2.6 per cent in the June quarter.

Record low interest rates are expected to continue to lift consumer spending and business investment, particularly in interest sensitive areas such as housing. However, this is expected to be partially offset by lower mining investment and government spending cuts. Economic growth in 2013–14 is assumed to average 2.5 per cent, following growth of 2.8 per cent in 2012–13.

Australian economic indicators

Interest rate bIn�ation rateEconomic growth

%

a ABARES assumption. b Large business weighted average variable rate on credit outstanding.

1

2

3

4

5

6

7

2013–14a2012–132011–12

Inflation and employmentInflation in Australia remains modest. The consumer price index rose by 2.2 per cent year-on-year in the September quarter 2013, compared with 2.4 per cent in the June quarter.

The most significant price rises in the September quarter included automotive fuel (up 7.6 per cent), international holiday travel and accommodation (6.1 per cent), electricity (4.4 per cent), property rates and charges (7.9 per cent), water and sewerage (9.9 per cent) and domestic holiday travel and accommodation (3.5 per cent). Partially offsetting these rises were price falls for vegetables (down 4.5 per cent) and pharmaceutical products (1.1 per cent).

Prices of imported goods have risen as they gradually responded to depreciation of the Australian dollar in 2013.

Unemployment increased slightly in October to a seasonally adjusted rate of 5.7 per cent, while labour force participation declined by 0.6 percentage points in the first 10 months of 2013.

Page 19: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

17

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian exchange rateThe Australian dollar depreciated by 16 per cent against the US dollar between mid April and early August 2013, followed by an appreciation of 4 per cent between mid August and the beginning of November. The average for the first five months of 2013–14 was around US93 cents, significantly lower than US102 cents in 2012–13. This will provide some support for Australia’s export and import competing industries, although the Australian dollar remains high by historical standards.

In preparing this set of agricultural commodity forecasts, the Australian dollar is assumed to average around US92 cents for 2013–14 as a whole. On a trade weighted basis, it is assumed to average around TWI 72 for the year.

The volatility of the Australian dollar against the US dollar in 2013–14 partly reflects speculation on US economic policy. Between June and August, the Australian dollar depreciated as the strengthening US economy led to expectations of lower asset purchases by the US Federal Reserve in September 2013. However, the Federal Reserve maintained its pace of asset purchases, and sentiment toward the US dollar deteriorated in response to the government shutdown in October. This contributed, at least in part, to an appreciation of the Australian dollar between mid September and early November 2013.

Some depreciation of the Australian dollar could occur in the first half of 2014 with slower fiscal consolidation and a possible tightening of monetary policy in the United States. However, any further fiscal impasse would provide support to the Australian dollar. Assumed stronger growth in Australia than in the United States in 2014 is also expected to provide some support.

The rebound of Chinese growth and demand for commodities in the second half of 2013 has led to stronger demand for the Australian dollar. Further depreciation of the Australian dollar could result if growth in China is weaker than expected.

Given the uncertainty over movement of the Australian dollar, primary producers and exporters will need to manage risks related to exchange rate movements.

Australian exchange rate

US$/A$

0.2

0.4

0.6

0.8

1.0

1.2

a ABARES assumption.

2013–14a

2010–11

2007–08

2004–05

2001–02

1998–99

Page 20: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

18

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Outlook for Australian agricultural and fisheries exportsThe total volume of farm production is forecast to increase by around 2.9 per cent in 2013–14, following a decline of 2.0 per cent in 2012–13. This increase largely reflects higher forecast crop production.

The index of crop production is forecast to increase by 3.9 per cent in 2013–14, after declining by 6.4 per cent in 2012–13. The volume of livestock production is forecast to increase by 1.6 per cent, following an increase of 4.0 per cent in the previous year.

The index of unit export returns for Australian farm commodities is forecast to increase by 4.3 per cent in 2013–14, after declining by 2.6 per cent in 2012–13. The effect on unit export returns of forecast lower world prices for most crops is expected to be offset by higher expected world prices for dairy products, wool, wine and lamb and an assumed depreciation of the Australian dollar.

Export earnings from farm commodities are forecast to be around $38.0 billion in 2013–14, largely unchanged from 2012–13. Farm commodities for which export earnings are forecast to be lower in 2013–14 include wheat (6 per cent), canola (31 per cent), cotton (19 per cent), rice (7 per cent), grain sorghum (24 per cent) and sugar (9 per cent). Offsetting these declines are forecast increases in export earnings for wine (up 4 per cent), beef and veal (12 per cent), dairy products (24 per cent) and barley (5 per cent).

Export earnings from crops are forecast to fall by 7.4 per cent in 2013–14 to $21.3 billion, following a rise of 6.7 per cent in 2012–13. Export earnings from livestock and livestock products are forecast to increase by 11.9 per cent to $16.7 billion in 2013–14, reflecting forecast higher shipments of beef and sheep meat and increased world prices for lamb and dairy products. This compares with an increase of 1.5 per cent in 2012–13.

Export earnings for fisheries products are forecast to be around $1.25 billion in 2013–14, up 6.2 per cent from 2012–13.

Page 21: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

19

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Agriculture in northern Australia

Overview

Several factors are driving interest in agricultural development in northern Australia. These include favourable global demand prospects for Australia’s food and fibre production and proximity to emerging international markets, particularly in Asia where food demand is growing rapidly.

Northern Australia is a physically diverse region covering about 3 million square kilometres. It is usually defined as those parts of Queensland, the Northern Territory and Western Australia north of the Tropic of Capricorn.

This analysis draws on 2010–11 Australian Bureau of Statistics Agricultural Census data, which provides the most recent and complete information on northern Australia’s agricultural industries.

Northern Australia, statistical divisions

Pilbara

Kimberley Northern Territory– Balance

Darwin

NorthWest

CentralWest

FarNorth

Northern

Mackay

Fitzroy

Source: Australian Bureau of Statistics

Land involved in agricultural activity in northern Australia totals 183 million hectares. This represents almost half the agricultural land in Australia, but less than 9 per cent of Australia’s agricultural businesses. Most of the agricultural land area in northern Australia (including Indigenous pastoral land) is used for grazing purposes.

Land use on farms, 2010–11

Unit AustraliaNorthernAustralia

Share of total Australia

Businesses engaged in agricultural activity no. 135 654 11 817 8.7%

Total area of agricultural activity million ha 396.2 183.0 46.2%

Area used for crops million ha 32.1 1.2 3.7%

Area used for grazing million ha 364.0 181.8 49.9%

Area used for other agricultural purposes a million ha 0.1 0.0 0.0%

a Includes feedlots, piggeries and poultry sheds.

continued...

Page 22: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

20

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Agriculture in northern Australia continued

Value of production

Agriculture is a significant contributor to the northern Australian economy, with cattle production, and irrigated agriculture (particularly sugar) and horticulture the main industries. In 2010–11 the gross value of agricultural production in northern Australia (measured at the farm gate) was $5.2 billion.

Cattle production dominates across the north with cattle turn-off valued at $3.0 billion, or 57 per cent of the total gross value of agricultural production in 2010–11. The second largest industry in value was sugar cane production at $781.5 million (15 per cent of total agricultural production). Fruit and nut production was valued at $574.5 million (11 per cent), while vegetable growing, for both seed and consumption, was valued at $310.5 million (6 per cent). The production of cereals, grain legumes and oilseeds, important to several Queensland regions, was valued at $204.1 million in 2010–11 (4 per cent).

Gross value of agricultural production, northern Australia, 2010–11

  GVP Share of total

$m %

Total agriculture 5 228.3 100.0

Broadacre crops

Cereals, grain legumes and oilseeds 204.1 3.9

Hay and pasture seed 58.2 1.1

Cotton 79.7 1.5

Sugar cane 781.5 14.9

Horticulture

Vegetables 310.5 5.9

Fruit and nuts 574.5 11.0

Nurseries, cut flowers and turf 60.1 1.1

Livestock slaughter and other disposals

Sheep and lambs 23.6 0.5

Cattle and calves 2 958.1 56.6

Pigs 10.7 0.2

Goats 9.6 0.2

Poultry 35.1 0.7

Livestock products

Wool 46.9 0.9

Milk 46.4 0.9

Eggs 11.6 0.2

continued...

Page 23: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

21

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Agriculture in northern Australia continued

Main agricultural activities

Approximately 11.7 million beef cattle (45 per cent of the national herd) were located in northern Australia as at June 2011. Other major agricultural production in 2010–11 included:

• sugar cane (20.3 million tonnes) cut for crushing• bananas (185 200 tonnes), melons (81 700 tonnes), mangoes (33 800 tonnes),

pineapples (19 600 tonnes), citrus (10 000 tonnes), avocados (7800 tonnes) and pawpaws/papaya (6400 tonnes)

• tomatoes (48 300 tonnes), potatoes (47 500 tonnes), pumpkins (28 400 tonnes), capsicums (25 800 tonnes), sweet corn (17 900 tonnes) and beans (10 800 tonnes)

• grain sorghum (299 500 tonnes), wheat (288 200 tonnes), chickpeas (58 400 tonnes), maize (53 100 tonnes), mung beans (23 100 tonnes) and peanuts (8200 tonnes)

• hay (225 200 tonnes) cut from both cereal crops and pasture to support the cattle industry across the north

• cotton lint (35 500 tonnes) and cottonseed (92 300 tonnes).

Page 24: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

22

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Effect of the Queensland drought on livestock and crop productionClay Mifsud

At the end of October 2013, around 60 per cent of Queensland’s total land area was drought declared; 20 shires were fully declared and a further five shires partially declared. While rain fell in some of these regions at the end of November, large areas of western Queensland continued to experience severe rainfall deficiencies.

The Bureau of Meteorology’s seasonal rainfall outlook for December 2013 to February 2014 indicates drier than average conditions are likely to continue for much of north-eastern Australia. The ongoing dry conditions have contributed to increased turn-off of cattle for slaughter and reduced winter crop yields. If dry conditions persist, they could adversely affect summer crops in 2013–14.

Queensland drought declarations, as at 29 October 2013

Source: Queensland Government

Drought declared

Partly drought declared

>40% IDPs

20–40% IDPs

10–20% IDPs

<10% IDPs

(IDPs = individually droughted properties)

continued...

Page 25: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

23

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Effect of the Queensland drought on livestock and crop production continued

Beef cattle

Cattle and calf slaughter in Queensland over the first four months of 2013–14, at 1.5 million head, was 12 per cent higher than the same period last year. This followed a 7 per cent rise in cattle and calf slaughter over the whole of 2012–13, to 3.8 million head. The number of cattle turned off from feedlots in Queensland during the September quarter 2013 was 19 per cent higher year-on-year, at 425 000 head.

Elevated cattle turn-off was reflected in beef and veal production in Queensland, which increased by 7 per cent year-on-year to 418 000 tonnes over the first four months of 2013–14. This came after a 6 per cent increase in beef and veal production over the whole of 2012–13, to 1.1 million tonnes.

Increased beef processing resulted in a corresponding increase in beef exports. For the four months to October 2013, beef exports from Queensland reached 253 000 tonnes (shipped weight), 13 per cent higher year-on-year. However, this rise understates the total rise in exports because a large number of Queensland cattle were processed in southern abattoirs and exported from southern ports when Queensland processing plants reached capacity. Total Australian beef and veal exports over the four months to October 2013 were 19 per cent higher year-on-year, reaching 404 000 tonnes.

Winter crops

Harvesting of winter crops is largely complete in Queensland. Total winter crop production in Queensland is estimated to have fallen by around 20 per cent in 2013–14 to 1.6 million tonnes, largely reflecting a decline in average yields resulting from unfavourable growing conditions. The total area sown to winter crops was around 1.1 million hectares, 6 per cent lower than the previous year. Hot and dry seasonal conditions during spring followed unfavourable conditions over winter. Some crops in southern Queensland were adversely affected by frost events and yields are estimated to have been lower than last year.

Wheat production in Queensland is estimated to have declined by 21 per cent in 2013–14 to 1.2 million tonnes, from a planted area of around 800 000 hectares. Barley production is estimated to have fallen by around 15 per cent in 2013–14 to around 138 000 tonnes. The area sown to barley increased marginally to around 90 000 hectares.

Chickpea production is estimated to have decreased by 17 per cent in 2013–14 to around 296 000 tonnes, from an estimated area of 216 000 hectares. The area planted to chickpeas declined only marginally from the record area planted last season. However, frosts in late August, below average rainfall and well above average spring temperatures are estimated to have reduced the average yield by around 16 per cent.

continued...

Page 26: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

24

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Effect of the Queensland drought on livestock and crop production continued

Summer crops

Hot and dry seasonal conditions over winter and spring depleted soil moisture levels and created unfavourable conditions for the planting of summer crops. The area planted to summer crops in Queensland in 2013–14 is forecast to decrease by 9 per cent to around 613 000 hectares. Timely November rainfall has improved summer crop prospects in parts of central Queensland and the Darling Downs and further rainfall may result in additional planting. Given the current low levels of soil moisture, sufficient and timely rainfall will be vital for the development of crops. The continuation of dry conditions across south-west Queensland will limit summer cropping in that region in 2013–14.

The area planted to grain sorghum in Queensland is forecast to decrease by around 7 per cent in 2013–14 to 380 000 hectares. Grain sorghum production is forecast to decrease by 25 per cent to just over 1 million tonnes in 2013–14.

Cotton production in Queensland is forecast to fall by 2 per cent in 2013–14 to around 333 000 tonnes of cotton lint and 471 000 tonnes of cottonseed, driven by an estimated 8 per cent decline in the area planted to cotton.

Page 27: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

25

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Effect of the Queensland drought on farm financial performancePeter Martin

Each year, ABARES interviews around 1600 Australian broadacre producers as part of its annual Australian Agricultural and Grazing Industries Survey (AAGIS). Some 200 of these farms are located in the currently drought declared areas of Queensland.

According to Australian Bureau of Statistics (ABS) data, the drought declared regions of Queensland contain around 4200 farm businesses, 72 per cent of which are broadacre farms that run beef cattle or sheep or grow grains, oilseeds or pulses. Information collected in the AAGIS provides a basis for analysing the current financial performance of the broadacre farms in these regions and expected changes in the short term.

Major financial performance indicators and ABARES farm survey methodology

Total cash receipts: total revenues received by the business during the financial year

Total cash costs: payments made by the business for materials and services and for permanent and casual hired labour (excluding owner–manager, partner and family labour)

Farm cash income: total cash receipts – total cash costs

Farm business profit: farm cash income + changes in trading stocks – depreciation – imputed labour costs

Methodology

ABARES surveys target farm businesses with an estimated value of agricultural operations exceeding $40 000, which effectively excludes small lifestyle farms from the survey coverage. Detailed physical, financial and management information is collected on each individual farm business and sample farms are selected and weighted to be representative of the target population at state, industry and regional level.

Data provided in this note have been collected through on-farm interviews and incorporate detailed farm financial accounting information.

Estimates for 2011–12 are final. All data from farmers, including accounting information, have been reconciled. Final production and population information from the ABS has been included and no further change is expected in the estimates.

The 2012–13 estimates are preliminary, based on full production and accounting information from farmers. However, editing and addition of sample farms may be undertaken and ABS production benchmarks may also change.

The 2013–14 projections are based on data collected through on-farm interviews and telephone interviews between October and December 2013. The 2013–14 projections include crop and livestock production, receipts and expenditure up to the date of interview, together with expected production, receipts and expenditure for the remainder of 2013–14.

continued...

Page 28: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

26

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Effect of the Queensland drought on farm financial performance continued

Overall, farm cash income of broadacre farms in drought declared areas of Queensland is projected to decline from an average of $148 400 a farm in 2012–13 to an average of just $55 000 a farm in 2013–14. Farm cash income projected for 2013–14 is around 45 per cent below the average farm cash income in real terms recorded for the 10 years to 2011–12.

Farm business profit is expected to decline from an average profit of $24 200 a farm in 2012–13 to an average loss of $52 000 a farm in 2013–14. If realised, this would be the lowest farm business profit since 2002–03 and the second lowest in the past 25 years in real terms. The larger decline in farm business profit is a consequence of reductions in beef cattle and grain inventories on farms.

The financial performance of broadacre farms across these regions declined moderately in 2012–13 as seasonal conditions turned drier after two very wet years in 2010–11 and 2011–12. Receipts from beef cattle declined slightly, the fall in beef cattle prices just offsetting the increase in the number of cattle sold. Overall, receipts from grain sales increased because of higher prices for grain sold in 2012–13. Expenditure on fodder purchase almost doubled. However, expenditure on cattle and sheep purchase was sharply reduced and together with lower interest payments resulted in a small reduction in average total cash costs overall. Reductions in herd sizes on some farms and a slowing in growth of beef herds on others resulted in a lower value of inventories and a decline in business profit from an average of $90 820 a farm in 2011–12 to $24 200 in 2012–13.

In 2013–14 receipts from the sale of beef cattle are expected to again decline, mainly because of the sale of less finished, lower weight cattle. Sale numbers are expected to remain relatively high. Lower receipts are expected from grain, oilseed and pulse crops because of lower yields from winter crops. Prospects for 2013–14 summer grain and oilseed crops remain uncertain, with a very dry start to the summer cropping season, but with some rain received in the last weeks of November.

Farm financial performance, broadacre farms in Queensland drought declared regions average per farm

2011–12 2012–13p 2013–14y

Total cash receipts $ 536 380 545 100 (8) 460 000

Total cash costs $ 392 930 396 700 (7) 405 000

Farm cash income $ 143 440 148 400 (16) 55 000

Farm business profit $ 90 820 24 200 (73) –52 000

p Preliminary estimates. y Provisional estimates. Note: Figures in parentheses are standard errors expressed as a percentage of the estimate provided.

continued...

Page 29: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

27

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Effect of the Queensland drought on farm financial performance continued

Overall in 2013–14 total cash receipts are projected to decline by around 18 per cent. Expenditure on fodder purchase is expected to increase further, but is expected to be partly offset by further reductions in expenditure on livestock purchase and crop materials. Should there be substantial improvement in seasonal conditions in early 2014, this would result in increased expenditure on livestock purchase and cropping materials and a larger increase in average total cash costs, leading to a further reduction in farm cash income and business profit for 2013–14.

ABARES will publish comprehensive updated farm financial performance information from surveys of broadacre and dairy farms for 2012–13 and 2013–14, for all states, in the March 2014 edition of Agricultural commodities.

Real financial performance, broadacre farms in Queensland drought declared regions average per farm

2013–14$’000

Farm cash incomeFarm business pro�t

y ABARES Provisional estimate.Source: AAGIS

2013–14y

2010–11

2007–08

2004–05

2001–02

1998–99

1995–96

–100

–50

0

50

100

150

200

250

Page 30: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

28

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Major indicators of Australia’s agriculture and natural resources based sectors  

Major indicators of Australia's agriculture and natural resources sectorMajorindicatorsofAustralia sagricultureandnaturalresourcessectorchange from change from 

2008 2009 2010 2011 2012 2013 previous year2008 2009 2010 2011 2012 2013 previous year–09 –10 –11 –12 s –13 s –14 f 2012–13 2013–14–09 –10 –11 –12 s –13 s –14 f 2012–13 2013–14

% %% %Exchange rate US$/A$ 0 75 0 88 0 99 1 03 1 02 0 92 1 0 9 8Exchange rate US$/A$  0.75  0.88  0.99  1.03  1.02  0.92 –1.0 –9.8Unit returns  aFarm   index 100.0 88.0 97.4 97.9 95.4 99.5 –2.6  4.3Farm  Value of exportsValue of exportsF b A$ 31 075 27 793 31 809 36 317 37 972 38 043 4 6 0 2Farm  b   A$m 31 075 27 793 31 809 36 317 37 972 38 043  4.6  0.2

$– crops  A$m 16 361 14 890 17 313 21 583 23 023 21 315  6.7 –7.4 crops – livestock A$m 14 714 12 903 14 496 14 735 14 949 16 728  1.5  11.9 livestock A$m 14 714 12 903 14 496 14 735 14 949 16 728  1.5  11.9Fisheries products A$m 1 529 1 246 1 248 1 227 1 175 1 248 –4.2 6.2Fisheries products A$m 1 529 1 246 1 248 1 227 1 175 1 248 –4.2  6.2  

Gross value of production  cFarm A$m 41 929 39 666 46 981 48 049 47 892 50 896 –0.3  6.3Gross value of production  cFarm A$m 41 929 39 666 46 981 48 049 47 892 50 896 0.3  6.3– crops A$m 22 769 21 137 25 943 26 830 27 778 28 790 3 5 3 6– crops  A$m 22 769 21 137 25 943 26 830 27 778 28 790  3.5  3.6livestock A$m 19 160 18 529 21 038 21 219 20 114 22 106 5 2 9 9– livestock A$m 19 160 18 529 21 038 21 219 20 114 22 106 –5.2  9.9

F t d fi h i A$ 3 973 3 967 4 092 3 963 3 909 4 136 1 4 5 8Forestry and fisheries A$m 3 973 3 967 4 092 3 963 3 909 4 136 –1.4  5.8f t– forestry  A$m 1 759 1 776 1 851 1 647 1 508 1 691 –8.4  12.2y $

– fisheries A$m 2 214 2 191 2 241 2 316 2 401 2 445  3.6  1.8– fisheries A$m 2 214 2 191 2 241 2 316 2 401 2 445  3.6  1.8

V l f f d i d i d 107 9 107 5 114 2 119 9 117 5 120 9 2 0 2 9Volume of farm production  d index 107.9 107.5 114.2 119.9 117.5 120.9 –2.0  2.9– crops  index 113.2 114.4 126.2 138.2 129.3 134.3 –6.4  3.9p– livestock index 100.6 98.7 100.6 100.5 104.5 106.2  4.0  1.6– livestock index 100.6 98.7 100.6 100.5 104.5 106.2  4.0  1.6Production area and livestock numbersC ( i d il d ) ’ hProduction area and livestock numbersCrop area (grains and oilseeds) ’000 ha 24 095 23 787 23 946 24 295 23 625 23 591 –2.8 –0.1p (g )Sheep million 72.7 68.1 73.1 74.7 73.8 71.9 –1.2 –2.6Sheep million 72.7 68.1 73.1 74.7 73.8 71.9 1.2 2.6Cattle million 27.9 26.6 28.5 28.4 28.4 27.9  0.0 –1.8Cattle million 27.9 26.6 28.5 28.4 28.4 27.9  0.0 1.8

F t A$ 36 631 34 460 36 515 37 334 37 118 37 741 0 6 1 7Farm costs A$m 36 631 34 460 36 515 37 334 37 118 37 741 –0.6  1.7Net cash income  e A$m 5 865 9 997 15 410 15 787 15 973 18 486  1.2  15.7Net cash income  e A$m 5 865 9 997 5 4 0 5 787 5 973 8 486 . 5.7Net value of farm production g A$m 5 298 5 205 10 466 10 715 10 774 13 155 0.6 22.1Net value of farm production  g A$m 5 298 5 205 10 466 10 715 10 774 13 155  0.6  22.1

’ f dFarmers’ terms of trade index 88.5 88.6 96.4 93.5 95.8 98.9  2.5  3.2EmploymentAgriculture forestry and fishing ’000 363 369 350 335 321 na 4 0 naEmploymentAgriculture, forestry and fishing ’000  363  369  350  335  321 na –4.0 naA li ’Australia ’000 10 899 11 003 11 290 11 419 11 563 na  1.3 na

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Base: 2008–09 = 100. b Series revised back to 1988–89. c For a definition of the gross value of farm production see Table 13. d Chain weighted basis using Fisher’s ideal index with a reference year of 1997–98 = 100. e Gross value of farm production less total cash costs. f ABARES forecast. g Gross value of farm production less total farm costs. na Not available. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

Page 31: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

29

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Major Australian agricultural, fisheries and forestry commodity exports

WorldpriceValue ValueVolume

Wheat, cotton, sugar, canola and rice are world indicator prices in US$. All other commodities are export unit returnsor domestic prices in A$. For export value, annual forecasts are the sum of quarterly forecasts. As a result, annual export values do not necessarily re�ect variations in export volumes, world prices and exchange rates.

2013–14

2012–13

2013–14 f

$b

f ABARES forecast.

1 2 3 4 5 6 7

Rice

Rocklobster

Mutton

Lamb

Sugar

Canola

Barley

Wine

Cotton

Dairy

Wool

Beef and veal

Wheat–6%

+12%

+3%

+24%

–19%

+4%

+5%

–31%

–9%

+9%

+25%

+8%

–7%

–13%

+7%

–2%

–1%

–24%

+2%

+15%

–25%

–1%

–1%

+10%

+1%

–8%

–9%

+3%

+6%

+25%

–2%

+3%

–9%

–20%

–6%

+9%

+13%

+7%

–19%

$6.78b

$4.87b

$2.87b

$2.23b

$2.69b

$1.87b

$1.63b

$2.09b

$1.40b

$1.09b

$0.48b

$0.45b

$0.49b

$6.37b

$5.43b

$2.96b

$2.77b

$2.18b

$1.95b

$1.71b

$1.44b

$1.28b

$1.18b

$0.60b

$0.48b

$0.45b

Page 32: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

30 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Page 33: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

31

Economic overview

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

AgricultureCrops

Page 34: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

32 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

WheatChristopher Price

The world wheat indicator price (US no. 2 hard red winter, fob Gulf) is forecast to fall by 9 per cent in 2013–14 to average US$315 a tonne. This largely reflects an expected increase in world wheat production, following a drought-affected season for the Black Sea region (the Russian Federation, Ukraine and Kazakhstan) in 2012–13. The downward pressure on the world indicator price (which is of high protein, milling grade wheat) is expected to be cushioned to some extent by production downgrades in some major producing countries. This will lead to lower production of higher protein varieties, particularly in the United States. For medium and lower protein wheat varieties, prices on world markets are expected to decline by more than the fall in the indicator price.

World wheat supply and price

Supply

Mt2013–14US$/t

US hard red winter,fob Gulf (right axis)

f ABARES forecast.

200

400

600

800

1000

100

200

300

400

500

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

Page 35: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

33

Wheat

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World production to increase in 2013–14World wheat production is forecast to increase by 8 per cent in 2013–14 to 705 million tonnes. This reflects an expected increase in production in the Black Sea region, following a drought-affected season last year. Production is also forecast to increase in the other major exporting countries, except the United States.

Wheat production changes, major producers, 2013–14

Mt

Volume changePercentage change(right axis)

–5

5

10

15

20

25

30

India

China

United States

EuropeanUnion

Canada

Black Searegion

Australia

Argentina

%

–10

10

20

30

40

50

60

In the Black Sea region, wheat production increased by an estimated 41 per cent in 2013–14 to 89 million tonnes. Production in the Russian Federation is estimated to have increased by 35 per cent to 51 million tonnes. This was driven by an 18 per cent increase in harvested area and a 14 per cent increase in the average yield. Wheat production in Ukraine and Kazakhstan increased by an estimated 40 per cent and 63 per cent, respectively, to 22 million tonnes and 16 million tonnes. Wet conditions during July and August resulted in quality downgrades in many regions.

Wheat production in the European Union is estimated to have increased by 8 per cent in 2013–14 to 143 million tonnes. This largely reflects an estimated 7 per cent rise in the average yield to 5.5 tonnes per hectare, the highest since 2008–09. Crop quality across the European Union has been generally good.

In Canada, wheat production increased by an estimated 38 per cent in 2013–14 to 38 million tonnes. The area harvested is estimated to have increased by 8 per cent, with a record average yield of 3.6 tonnes per hectare. The average quality in terms of grades and protein was lower than last season.

Total wheat production in the United States declined by an estimated 6 per cent in 2013–14 to 58 million tonnes. This largely reflects drought conditions throughout the growing season in many major winter wheat areas, including Colorado, Kansas, Oklahoma and Texas. The dry conditions resulted in the highest abandonment rate of winter wheat since 2002–03. Seasonal conditions were more favourable for spring wheat, which typically accounts for just over a quarter of total US wheat production.

Page 36: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

34

Wheat

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

In Argentina, wheat production is forecast to increase by 24 per cent in 2013–14 to 10.5 million tonnes. This reflects an estimated 17 per cent rise in the harvested area and a forecast 6 per cent increase in the average yield. Although crop prospects were adversely affected by dry seasonal conditions during August and early September, particularly in northern growing areas, subsequent rainfall benefited crops in southern growing areas where most wheat production occurs.

Wheat production in China and India is estimated to have declined slightly in 2013–14 but remains historically high. In China, frost damage during winter and excessive rainfall during harvest resulted in a large proportion of production being downgraded to feed quality.

Progress of winter wheat planting for 2014–15Winter wheat planting in the northern hemisphere for the 2014–15 season has been largely completed and is expected to be similar in area to the 2013–14 season. Wet weather during July and August delayed sowing in the Russian Federation and Ukraine but drier seasonal conditions in September led to accelerated sowing toward the end of the planting window.

World consumption and stocks to rise in 2013–14World consumption of wheat is forecast to increase by 3 per cent in 2013–14 to 694 million tonnes. The use of wheat for human consumption is expected to increase in line with population growth, while feed use is forecast to increase by 4 per cent to 137 million tonnes. Higher feed wheat use is expected to be driven by lower prices, which reflects a large increase in feed wheat supplies. However, expected lower prices of feed wheat substitutes, such as corn, are expected to moderate the extent of the increase in feed wheat demand.

World wheat closing stocks are forecast to rise by 6 per cent in 2013–14 to 186 million tonnes, with the stocks-to-use ratio increasing to 27 per cent. Closing stocks are forecast to increase in most major producing countries except the United States and India.

World wheat closing stocks

Closing stocks

Mt %

Stocks-to-use ratio(right axis)

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

10

20

30

40

50

40

80

120

160

200

Page 37: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

35

Wheat

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Trade to increase in 2013–14World wheat trade is forecast to increase by 5 per cent in 2013–14 to 148 million tonnes in response to higher world production and stronger demand, particularly from China and Egypt.

The forecast increase in wheat production in the Black Sea region is expected to lead to a 27 per cent increase in regional wheat exports in 2013–14 to 32 million tonnes.

Black Sea region wheat exports

KazakhstanUkraineRussian Federation

Mt

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

5

10

15

20

25

30

35

40

f ABARES forecast.

For other major exporters, shipments are also forecast to rise. Higher production is expected to result in increased exports from Canada, Argentina and the European Union. Despite an estimated decline in production, wheat exports from the United States are forecast to increase, supported by a drawdown in stocks.

Wheat exports from India are forecast to be largely unchanged in 2013–14, at around 6.6 million tonnes. Recently, the Indian Government lowered the minimum export price for government tenders by US$40 to US$260 a tonne (free on board) to make Indian wheat exports more price competitive on world markets. Most wheat exports from India are of mid-protein varieties.

Page 38: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

36

Wheat

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australia Wheat production to increase in 2013–14Australian wheat production is forecast to increase by 17 per cent in 2013–14 to around 26.2 million tonnes. Production increases are forecast in Western Australia, South Australia and Victoria, while falls in production are forecast in New South Wales and Queensland.

The largest increase in production is expected to be in Western Australia, where production is forecast to rise by 45 per cent in 2013–14 to around 9.6 million tonnes. Seasonal conditions during spring were favourable across most of Western Australia’s cropping zone. September rainfall was above to very much above average in many cropping regions, benefiting maturing crops in the central and southern regions of the state. If this production forecast is realised, Western Australian wheat production this season would be the third highest on record.

In South Australia, wheat production is forecast to rise by 39 per cent in 2013–14 to 5.2 million tonnes, largely driven by forecast above average yields. Rainfall during spring was below average and temperatures were above average. However, favourable seasonal conditions during winter put crops in good condition at the start of spring.

Production in Victoria is forecast to increase by 3 per cent in 2013–14 to 3.6 million tonnes. The forecast increase reflects an estimated 2 per cent rise in planted area and a slightly higher average yield than last season.

By contrast, wheat production in New South Wales is forecast to fall by 6 per cent in 2013–14 to around 6.7 million tonnes and by 21 per cent in Queensland to 1.2 million tonnes. Hot and dry seasonal conditions in both states during spring followed unfavourable seasonal conditions during winter. Frost events also adversely affected crops in southern Queensland and northern New South Wales in August and in central and southern New South Wales in October. Yields in both states are expected to be generally lower than last year.

Australian wheat production

OtherQueenslandVictoria

Mt

South AustraliaNew South Wales

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

f ABARES forecast.

Western Australia

5

10

15

20

25

30

Page 39: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

37

Wheat

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian export earnings to fall in 2013–14The volume of Australian wheat exports is forecast to decline by 13 per cent in 2013–14 to around 18.6 million tonnes. Although wheat production is forecast to increase, the supply of wheat available for export is expected to decline because of lower carry-over stocks from the 2012–13 season. The value of wheat exports is forecast to decline by 6 per cent to $6.4 billion.

Australian wheat exports

Mt

Export volumeExport value(right axis)

2013–14$b

2

4

6

8

10

5

10

15

20

25

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

f ABARES forecast.

Page 40: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

38

Wheat

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Wheat outlook

% 2011–12 2012–13 s 2013–14 f

% change2011–12 2012–13 s 2013–14 f change

W ldWorldProduction Mt  695  655  705  7.7Production Mt  695  655  705  7.7– China Mt 117 121 121 –0 1– China Mt  117  121  121 –0.1European Union Mt 137 132 143 8 3– European Union Mt  137  132  143  8.3I di Mt 87 95 93 2 5– India Mt  87  95  93 –2.5

– Russian Federation Mt  56  38  51  35.2– United States Mt  54  62  58 –6.0 United States Mt  54  62  58 6.0

Consumption Mt 696 673 694 3 1Consumption Mt  696  673  694  3.1h 6 66– human Mt  461  466  471  1.1

– feed Mt  153  131  137  4.4 feed Mt  153  131  137  4.4

Closing stocks Mt 194 175 186 6 3Closing stocks Mt  194  175  186  6.3St k t ti % 28 26 27Stocks‐to‐use ratio %  28  26  27Trade Mt  145  141  148  5.1Exports aExports  a– Argentina Mt 13 4 5 19 0– Argentina Mt  13  4  5  19.0Australia b M 23 21 19 12 6– Australia  b Mt  23  21  19 –12.6C d– Canada Mt  18  20  23  15.4Mt  18  20  23  15.4

– European Union Mt  17  24  25  7.7 European Union Mt  17  24  25  7.7– Kazakhstan Mt 11 7 8 7 6– Kazakhstan Mt  11  7  8  7.6– Russian Federation Mt 22 11 15 35 9– Russian Federation Mt  22  11  15  35.9Ukraine Mt 5 7 9 32 9– Ukraine Mt  5  7  9  32.9U it d St t– United States Mt  29  27  30  9.2

Price c US$/t 299 348 315 –9 4Price  c US$/t  299  348  315 –9.4AustraliaArea  ’000 ha 13 902 12 773 13 512  5.8Area   000 ha 13 902 12 773 13 512  5.8Production kt 29 905 22 461 26 213 16 7Production kt 29 905 22 461 26 213  16.7Exports b kt 23 026 21 265 18 579 12 6Exports  b kt 23 026 21 265 18 579 –12.6

l A$ 6 378 6 776 6 372 6 0– value A$m 6 378 6 776 6 372 –6.0APW 10 net pool return   A$/t  263  326  333  2.2APW 10 net pool return   A$/t  263  326  333  2.2a Local marketing years. b July–June years. c US no. 2 hard red winter wheat fob Gulf, July–June.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Local marketing years. b July–June years. c US no. 2 hard red winter wheat fob Gulf, July–June.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Local marketing years. b July–June years. c US no. 2 hard red winter wheat fob Gulf, July–June.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Local marketing years. b July–June years. c US no. 2 hard red winter wheat fob Gulf, July–June.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Local marketing years. b July–June years. c US no. 2 hard red winter wheat fob Gulf, July–June.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

Page 41: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

39ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

The world coarse grains indicator price (US corn, fob Gulf) is forecast to fall by 29 per cent in 2013–14 to US$220 a tonne. This mostly reflects a record corn harvest in the United States. The world indicator price for barley (French Rouen feed) is forecast to fall by 18 per cent to US$243 a tonne, driven by an increase in world barley supplies.

World coarse grains prices

2013–14US$/t

French Rouen feed barleyUS corn, fob Gulf ports

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

50

100

150

200

250

300

350

400

Coarse grainsDavid Mobsby

Page 42: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

40

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Record US corn crop in 2013–14World coarse grains production is forecast to increase by 11 per cent in 2013–14 to 1.25 billion tonnes, largely driven by an increase in corn production.

World coarse grains production

Other Barley Corn

Mt

f ABARES forecast.

200

400

600

800

1000

1200

1400

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

CornWorld corn production is forecast to rise by 12 per cent in 2013–14 to 964 million tonnes, driven by a large rise in production in the United States.

In the United States, corn production is estimated to increase by 30 per cent in 2013–14 to a record 355 million tonnes, reflecting a 30 per cent increase in the average yield compared with the previous drought-affected season. The condition of the US corn crop improved late in the season. The proportion of the crop rated as being in good to excellent condition rose from a low of 53 per cent earlier in the season to 62 per cent in October 2013. The harvested area was largely unchanged from the previous season.

In China, corn production is estimated to increase by 3 per cent in 2013–14 to a record 211 million tonnes, which reflects an estimated 1 per cent increase in the average yield and a 2 per cent increase in harvested area.

In Ukraine, corn production is estimated to rise by 39 per cent in 2013–14 to a record 29 million tonnes, primarily reflecting a forecast 30 per cent increase in the average yield. The Russian Federation is estimated to produce a record corn crop of around 9 million tonnes, an increase of 10 per cent compared with the previous season.

Page 43: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

41

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Corn production in the Black Sea region

Russian Federation Ukraine

Mt

f ABARES forecast.

5

10

15

20

25

30

35

40

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

Corn production in Latin America (Argentina and Brazil) is forecast to decline in 2013–14. In Brazil, corn production is forecast to fall by 14 per cent to 70 million tonnes, reflecting a decrease in planted area because of more favourable returns from producing soybeans. Corn yields are forecast to return to average from the above average results of 2012–13.

In Argentina, corn production is forecast to fall by 7 per cent in 2013–14 to 25 million tonnes, with dry seasonal conditions delaying planting of the 2013–14 corn crop. Planting of the 2013–14 corn crop in Latin America began in September 2013.

BarleyWorld barley production is forecast to increase by 11 per cent in 2013–14 to 144 million tonnes, largely reflecting higher yields in most major producing countries. Significant production increases are expected in all major exporting countries except Argentina.

Barley production changes, major exporters, 2013–14

% Ukraine Russian

FederationEuropean

UnionCanada Australia Argentina

–5

0

5

10

15

20

25

30

Page 44: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

42

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Barley production in the European Union is estimated to increase by 9 per cent in 2013–14 to around 59 million tonnes, driven by a 77 per cent increase in production in Spain (to an estimated 10.6 million tonnes). Across the European Union, favourable seasonal conditions have resulted in yields being above the five-year average to 2012–13.

The major barley producers in the Black Sea region (the Russian Federation and Ukraine) are estimated to increase barley production in 2013–14, largely as a result of improved seasonal conditions compared with the previous season. The Russian Federation, the largest regional producer, is estimated to increase barley production by 14 per cent to around 16 million tonnes, reflecting a larger harvested area and a higher average yield. In Ukraine, it is estimated that a higher average yield will result in barley production rising by 11 per cent to 7.7 million tonnes.

In Canada, barley production is estimated to rise by 28 per cent in 2013–14 to 10.2 million tonnes, the highest level since 2008–09. Average barley yields in the major producing states of Alberta and Saskatchewan are well above average owing to favourable seasonal conditions. It is estimated that around 25 per cent of the barley crop in Alberta and 36 per cent of the barley crop in Saskatchewan reached malting grade.

In Argentina, barley production is forecast to decrease by 8 per cent in 2013–14 to 4.6 million tonnes, largely because of a decrease in the harvested area. However, the crop is in good condition with yields expected to be higher than last year.

Falling prices to increase consumptionWorld consumption of coarse grains is forecast to increase by 7 per cent in 2013–14 to 1.22 billion tonnes. This forecast rise mainly reflects an expected 9 per cent increase in the use of feed grains in livestock production (to 726 million tonnes).

World use of corn for livestock feed is forecast to rise by 10 per cent in 2013–14 to 567 million tonnes. In the United States, use of corn for feed is forecast to rise by 20 per cent to 132 million tonnes, while in Brazil it is forecast to rise 4 per cent to a record 49 million tonnes. In China, the use of corn for feed is forecast to rise by 6 per cent to a record 152 million tonnes, driven by an increase in livestock numbers.

World coarse grains consumption

Food, seed and industrialFeed

f ABARES forecast.

Mt

200

400

600

800

1000

1200

1400

2013–14f

2010–11

2007–08

2004–05

2001–02

1998–99

1995–96

1992–93

Page 45: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

43

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World use of barley for livestock feed is forecast to rise by 6 per cent in 2013–14 to 94 million tonnes. In the European Union, the world’s largest feed barley market, feed use is forecast to rise by 3 per cent to around 37 million tonnes. The use of barley for feed in Canada is forecast to rise by 8 per cent to around 6 million tonnes.

World food, seed and industrial use of coarse grains is forecast to increase by 4 per cent in 2013–14 to 491 million tonnes. This outlook is driven by an expected increase in the production of corn-based ethanol in the United States. Assuming no change to ethanol blending mandates, US ethanol producers are expected to respond to improved producer margins during 2013–14 by increasing output by 4 per cent to around 52 billion litres. This level of ethanol production is estimated to require some 125 million tonnes of corn.

Since the beginning of September 2013 ethanol production in the United States has risen markedly. For the week ending 8 November 2012, US ethanol production averaged 147 million litres a day, the highest rate since May 2012. This is 9 per cent higher than the 135 million litres a day produced in the first week of September 2013.

Ethanol production, daily average, United States

ML

30

60

90

120

150

180

22 Nov2013

16 Aug2013

24 May2013

1 Mar2013

7 Dec2012

14 Sep2012

22 Jun2012

30 Mar2012

6 Jan 2012

14 Oct2011

World trade to rise in 2013–14World coarse grains trade is forecast to rise by 14 per cent in 2013–14 to 135 million tonnes, reflecting an expected increase in supplies available for export, especially corn, and forecast falls in world prices.

World corn trade is forecast to rise by 15 per cent in 2013–14 to 105 million tonnes. The United States is expected to drive this forecast growth, with its exports expected to rise by around 88 per cent to 35 million tonnes. Record corn production in Ukraine is forecast to result in its corn exports rising by 37 per cent to 19 million tonnes. By contrast, corn exports from Brazil and Argentina are forecast to fall by 14 per cent and 11 per cent, respectively, to 19 million tonnes and 17 million tonnes. The forecast falls in both countries are expected to be driven by lower corn production and rising domestic consumption.

Page 46: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

44

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World coarse grains exports

Other BarleyCorn

Mt

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

20

40

60

80

100

120

140

160

World barley trade is forecast to increase by 7 per cent in 2013–14 to around 20 million tonnes, largely the result of increased exports from the European Union, Canada, Australia, the Russian Federation and Ukraine. The European Union and Canada are forecast to increase barley exports by 11 per cent and 26 per cent, respectively, to 5.5 million tonnes and 1.8 million tonnes. By contrast, barley exports from Argentina are forecast to fall by 11 per cent to 3.2 million tonnes, reflecting a decline in domestic production.

Closing stocks to rise in 2013–14Closing stocks of coarse grains are forecast to rise by 22 per cent in 2013–14 to 202 million tonnes, with world production expected to exceed world consumption by around 37 million tonnes. The world stocks-to-use ratio is forecast to rise by 3 percentage points to 17 per cent, the highest since 2009–10.

World coarse grains stocks-to-use ratio

%

f ABARES forecast.

2468

101214161820

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

Page 47: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

45

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World closing stocks of corn are forecast to increase by 23 per cent in 2013–14 to 166 million tonnes, driven by a forecast increase of 27 million tonnes in US corn stocks. Closing stocks in Ukraine are also forecast to rise, reflecting above average production. By contrast, closing stocks in Brazil are forecast to fall by 31 per cent to 11 million tonnes, reflecting expected lower production.

Closing stocks of barley are forecast to rise by 21 per cent in 2013–14 to around 25 million tonnes. Large barley crops in Canada and the European Union are forecast to result in these countries increasing closing stocks from relatively low levels.

Australia Production to rise in 2013–14Australian coarse grains production is forecast to rise by around 6 per cent in 2013–14 to 12.2 million tonnes, driven by a forecast increase in barley production. At this forecast level, coarse grains production in 2013–14 will be around 3 per cent above the five-year average to 2012–13.

Barley production is forecast to rise by 15 per cent in 2013–14 to 8.6 million tonnes. If realised, this would be the third largest barley crop on record. Production in Western Australia is forecast to increase by 25 per cent to around 2.8 million tonnes because seasonal conditions in spring were favourable. Spring seasonal conditions were also generally favourable in South Australia and Victoria where barley production is forecast to increase by 28 per cent and 13 per cent, respectively. By contrast, barley production is forecast to fall in New South Wales and Queensland, with yields expected to be lower than last year because of unfavourable seasonal conditions.

The area planted to grain sorghum is forecast to fall by 7 per cent in 2013–14 to around 552 000 hectares, reflecting dry planting conditions. The unfavourable seasonal conditions and delays in planting are expected to lower yields from last year and grain sorghum production is forecast to fall by around 20 per cent to 1.6 million tonnes.

Closing stocks, major corn exporters

Argentina Ukraine Brazil United States

Mt

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

10

20

30

40

50

60

70

Page 48: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

46

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian coarse grains production

CornTriticaleOats

Mt

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

Grain sorghumBarley

3

6

9

12

15

18

Australian export values to fall in 2013–14Total Australian coarse grains exports are forecast to rise by 4 per cent in 2013–14 to 7 million tonnes. Barley exports are forecast to increase by 15 per cent to 5.9 million tonnes, reflecting increased production, particularly in the export oriented states of Western Australia and South Australia. By contrast, exports of grain sorghum are forecast to fall by 33 per cent to 863 000 tonnes.

The total value of coarse grains exports is forecast to fall by 2 per cent in 2013–14 to $2.1 billion. This mainly reflects a forecast fall in export earnings from grain sorghum, corn and oats. The value of grain sorghum exports is forecast to fall by 24 per cent to $277 million. By contrast, the value of barley exports is forecast to rise by 5 per cent to $1.7 billion in 2013–14.

Australian coarse grains exports

CornOatsGrain sorghumBarley

2013–14$m

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

500

1000

1500

2000

2500

Page 49: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

47

Coarse grains

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Coarse grains outlookC i tl kCoarsegrainsoutlook%

gf

% hunit 2011–12 2012–13 s 2013–14 f change

WorldProduction Mt 1 151 1 131 1 254 10 9WorldProduction Mt 1 151 1 131 1 254  10.9barley Mt 134 130 144 10 8– barley Mt  134  130  144  10.8

886 863 964 11– corn Mt  886  863  964  11.7Consumption Mt 1 134 1 140 1 217 6.8Consumption Mt 1 134 1 140 1 217  6.8Trade Mt 147 118 135 14 4Trade Mt  147  118  135  14.4Closing stocks Mt 165 165 202 22 4Closing stocks Mt  165  165  202  22.4St k t ti % 15 14 17Stocks‐to‐use ratio %  15  14  17Corn price  (fob Gulf, Jul–Jun) US$/t  281  312  220 –29.5

p  (fob Gulf, Jul Jun) US$/t  281  312  220 29.5Barley price(fob Rouen Jul Jun) US$/t 270 296 243 17 9Barley price  (fob Rouen, Jul–Jun) US$/t  270  296  243 –17.9AustraliaArea ’000 ha 5 323 5 255 5 391  2.6Area 000 ha 5 323 5 255 5 391  2.6– barley ’000 ha 3 718 3 622 3 807 5.1– barley 000 ha 3 718 3 622 3 807  5.1– grain sorghum ’000 ha 659 595 552 –7 2– grain sorghum ’000 ha  659  595  552 –7.2

dProduction kt 12 457 11 511 12 212  6.1– barley kt 8 221 7 466 8 620  15.5 barley kt 8 221 7 466 8 620  15.5– grain sorghum kt 2 239 2 005 1 608 –19.8– grain sorghum kt 2 239 2 005 1 608 19.8

E kt 7 911 6 746 7 033 4 3Exports  a kt 7 911 6 746 7 033  4.3p– value A$m 2 245 2 094 2 053 –2.0 value $Feed barley price b A$/t  197  244  209 –14.3Feed barley price  b A$/t  197  244  209 14.3Malting barley price c A$/t 201 255 227 11 0Malting barley price  c A$/t  201  255  227 –11.0a July–June years. b Feed 1, delivered Geelong. c Gairdner Malt 1, delivered Geelong. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United Nations Comtrade database; United States Department of Agriculture 

a July–June years. b Feed 1, delivered Geelong. c Gairdner Malt 1, delivered Geelong. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United Nations Comtrade database; United States Department of Agriculture 

a July–June years. b Feed 1, delivered Geelong. c Gairdner Malt 1, delivered Geelong. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United Nations Comtrade database; United States Department of Agriculture 

a July–June years. b Feed 1, delivered Geelong. c Gairdner Malt 1, delivered Geelong. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United Nations Comtrade database; United States Department of Agriculture 

a July–June years. b Feed 1, delivered Geelong. c Gairdner Malt 1, delivered Geelong. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United Nations Comtrade database; United States Department of Agriculture 

a July–June years. b Feed 1, delivered Geelong. c Gairdner Malt 1, delivered Geelong. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United Nations Comtrade database; United States Department of Agriculture 

Page 50: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

48 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Lower prices with record oilseeds supplyThe world oilseeds indicator price (US soybeans, fob Gulf) is forecast to decline by 15 per cent in 2013–14 to US$510 a tonne. The prospect of a record crop in Latin America, particularly in Brazil, and rising world stocks are expected to place downward pressure on the world oilseeds indicator price in the second half of 2013–14.

The world canola indicator price (Europe rapeseed, fob Hamburg) is forecast to fall by 20 per cent in 2013–14 to US$500 a tonne, mainly reflecting increases in production in Canada and the European Union. Following the European harvest, the world canola indicator price fell by 27 per cent between mid June and late July 2013 to US$454 a tonne, before a partial recovery to around US$520 a tonne in late November 2013.

World canola supply and price

Opening stocks

Production

Mt 2013–14US$/t

Price (right axis)

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

10

20

30

40

50

60

70

80

100

200

300

400

500

600

700

800

OilseedsBeth Deards

Page 51: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

49

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Record soybean and canola production in 2013–14World oilseeds production is forecast to rise by 6 per cent in 2013–14 to a record 498 million tonnes, driven by forecast record production of soybeans and canola.

CanolaWorld canola production is forecast to increase by 11 per cent in 2013–14 to more than 69 million tonnes, primarily reflecting estimated record production in Canada.

Canola production in Canada is estimated to rise by 34 per cent in 2013–14 to around 18 million tonnes. Favourable seasonal conditions during the growing season are assumed to result in record yields.

Rapeseed (canola) production in the European Union is estimated to increase by 6 per cent in 2013–14 to 20.5 million tonnes. This increase is the result of favourable seasonal conditions leading to above average yields in Germany and much of Central Europe.

In the Black Sea region, rapeseed production is estimated to increase by 76 per cent in Ukraine and 27 per cent in the Russian Federation, to 2.2 million tonnes and 1.3 million tonnes, respectively. Production at these levels would be the highest on record for the Russian Federation and the second highest on record for Ukraine. Over the decade to 2013–14, the area planted to rapeseed in the Russian Federation has increased significantly from around 200 000 hectares to more than 1.3 million hectares.

Canola production, Canada

Mt

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

4

8

12

16

20

Page 52: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

50

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

SoybeansWorld production of soybeans is forecast to rise by 7 per cent in 2013–14 to a record 284 million tonnes. This largely reflects forecast higher production in Latin America, assuming favourable seasonal conditions prevail, and higher production in the United States.

In Brazil, soybean production is forecast to increase by 6 per cent in 2013–14 to 87 million tonnes, mainly reflecting a 5 per cent increase in the area planted to a record 29 million hectares. Relatively favourable returns to soybeans are forecast to result in an expansion of the area planted to soybeans, primarily at the expense of the area planted to corn.

Soybean production in Argentina is forecast to rise by 12 per cent in 2013–14 to 54.5 million tonnes, reflecting a forecast 4 per cent rise in the area planted and an assumed 8 per cent rise in the average yield. Recent dry seasonal conditions in Argentina reduced planting intentions of corn and sunflower seed. As a result, the area affected is likely to be planted to soybeans, which have a later planting window.

Soybean production in Paraguay is forecast to remain largely unchanged in 2013–14 at around 9.3 million tonnes. The area planted to soybeans and the average yield are forecast to be similar to the previous season. Seasonal conditions and soil moisture levels have so far been favourable for crop development.

Soybean production in the United States is estimated to rise by 8 per cent in 2013–14 to 88.7 million tonnes. Seasonal conditions have been more favourable than last year, leading to an estimated 4 per cent rise in the average yield. The planted area is also around 4 per cent higher than last year.

In India, soybean production is forecast to remain largely unchanged in 2013–14 at around 11.5 million tonnes. The area planted to soybeans in India is estimated to increase this season but yields have been affected by adverse seasonal conditions in the major producing regions.

Indian soybean industryIn 2012–13 India was the world’s fifth largest producer of soybeans. Soybean production in India has grown significantly since the mid 1980s, rising by an average of 9 per cent a year from around 1 million tonnes in 1985–86 to 11.5 million tonnes in 2012–13. This increase in production was largely the result of a 9.5 million hectare increase in the area planted to soybeans. Additionally, prices being received for soybeans were more favourable than production alternatives, such as cereals and pulses.

Soybean yields in India are well below the world average. This primarily reflects small-scale farming, erratic rainfall, low levels of irrigation and under investment in inputs such as improved seeds, fertilisers and pesticides.

The Indian Government supports soybean producers by providing a minimum support price that is set annually. International oilseeds prices are often higher than the minimum support price. Soybean producers in India also benefit from various input support programs.

continued...

Page 53: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

51

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Indian soybean industry continued

Most soybeans in India are crushed to produce soybean meal and oil. Food and feed uses have increased over recent years. In 2012–13 soybean crush was 9.7 million tonnes, producing 7.8 million tonnes of soybean meal and 1.7 million tonnes of soybean oil. India applies a 30 per cent tariff to soybean imports.

Supply and use of soybeans, India

Mt

ProductionCrushFood and feed use

2012–13

2009–10

2006–07

2003–04

2000–01

1997–98

1994–95

1991–92

1988–89

1985–86

2

4

6

8

10

12

India has high domestic demand for soybean oil and is the world’s third largest consumer of vegetable oils. Over the past two decades total consumption of vegetable oils in India grew by almost 250 per cent. This increase in consumption was largely driven by population growth and rising incomes. However, India’s per person consumption of vegetable oils is still well below the world average. Of all vegetable oils consumed in India in 2012–13, consumption of soybean oil was the second highest behind palm oil, accounting for around 16 per cent of vegetable oil consumption.

Soybean oil supply and use, India

Mt

ConsumptionProductionImports

2012–13

2009–10

2006–07

2003–04

2000–01

1997–98

1994–95

1991–92

1988–89

1985–86

0.5

1.0

1.5

2.0

2.5

3.0

continued...

Page 54: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

52

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Sunflower seedWorld sunflower seed production is forecast to rise by 13 per cent in 2013–14 to 41 million tonnes, largely driven by higher production in the Black Sea region and the European Union.

In the Black Sea region, production of sunflower seed in 2013–14 is estimated to rise by 25 per cent in Ukraine and 19 per cent in the Russian Federation, to 10.6 million tonnes and 9.5 million tonnes, respectively. Wet seasonal conditions during September 2013 delayed harvest and resulted in higher than usual moisture content in sunflower seeds. Yields nevertheless are estimated to increase from last year.

Indian soybean industry continued

Despite significant production of soybean oil in India, imports are needed to meet domestic demand. India is the world’s second largest importer of soybean oil, behind China. Imports of soybean oil have increased significantly since the mid 1990s, following the Indian Government’s decision in 1995 to allow imports by private traders and replace quantitative trade restrictions with tariffs. Before 1995, soybean oil was imported by the government-owned State Trading Corporation of India and import quantities were set by an inter-ministerial committee. India sources most of its soybean oil imports from Argentina and Brazil.

Until recently, most soybean meal produced in India was exported. In 2012 the largest export destinations for Indian soybean meal were Japan, Thailand and Pakistan. Domestic consumption of soybean meal has grown steadily since 2006–07, reaching 3.7 million tonnes in 2012–13 (48 per cent of domestic production). This rise in consumption was driven by growth in domestic feed demand, particularly in the poultry industry.

Soybean meal supply and use, India

Mt

ProductionExportsConsumption

2012–13

2009–10

2006–07

2003–04

2000–01

1997–98

1994–95

1991–92

1988–89

1985–86

1

2

3

4

5

6

7

8

Page 55: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

53

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Production of sunflower seeds in the European Union is estimated to increase by 23 per cent in 2013–14 to 8.3 million tonnes, reflecting an estimated 22 per cent increase in the average yield.

In Argentina, sunflower seed production is forecast to fall by 15 per cent in 2013–14 to 2.8 million tonnes, largely because of a 13 per cent fall in the area planted to sunflower seeds to around 1.5 million hectares. Dry seasonal conditions during the planting window in September and October 2013 prevented planting intentions being fully realised.

World production of soybeans, canola and sunflower seed

Sun�ower seedCanola Soybeans

Mt

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

50

100

150

200

250

300

350

400

Crush to rise in 2013–14World oilseeds crush is forecast to increase by 4 per cent in 2013–14 to 413 million tonnes, driven by high demand for protein meals and vegetable oils.

Soybean crush is forecast to rise by 5 per cent in 2013–14 to 240 million tonnes, largely reflecting a forecast increase in crush in China, Argentina and Brazil. In 2012–13 soybean crush in Brazil was constrained by record soybean exports, which resulted in the crushing industry operating below capacity. In 2013–14 soybean crush in Brazil is forecast to increase, largely driven by an expected increase in the biodiesel blending mandate from 5 per cent to 7 per cent at the beginning of 2014. Soybean oil is the primary feedstock for biodiesel in Brazil.

Canola crush is forecast to increase by 4 per cent in 2013–14 to 64 million tonnes. Higher domestic production of canola in Canada and the European Union is expected to lead to increased crush in both countries. Canola crush in Canada is forecast to reach a record 8 million tonnes, which will result in an increase in the supply of canola oil and canola meal available for export.

Sunflower seed crush is forecast to rise by 9 per cent in 2013–14 to around 36 million tonnes. Sunflower seed crush is forecast to increase in all major producing countries, except Argentina.

Page 56: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

54

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Canola production, exports and crush, Canada

Mt

ProductionExportsCrush

2011–12

2009–10

2007–08

2005–06

2003–04

f ABARES forecast.

2013–14f

4

8

12

16

20

Record consumption of vegetable oils and meals in 2013–14World consumption of oilseeds is forecast to increase by 5 per cent in 2013–14 to a record 485 million tonnes.

World consumption of vegetable oils is forecast to increase by 6 per cent in 2013–14 to 165 million tonnes, with both food consumption and industrial use of vegetable oils (primarily biodiesel) increasing. In the European Union, consumption of vegetable oils is forecast to increase by 10 per cent to 21.5 million tonnes. The European Union is likely to increase domestic biodiesel production in response to the introduction in late 2013 of import duties on biodiesel from Argentina and Indonesia.

World consumption of protein meals is forecast to increase by 4 per cent in 2013–14 to 274 million tonnes. In China (the world’s largest consumer of protein meals) consumption is forecast to rise, but at a much lower rate than in previous years. Soybean meal will continue to account for the majority of Chinese protein meal consumption (around 75 per cent), followed by canola meal (15 per cent).

Chinese demand drives soybean and canola tradeWorld trade in oilseeds is forecast to rise by 10 per cent in 2013–14 to 126 million tonnes.

Soybean exports are forecast to increase by 10 per cent in 2013–14 to 108 million tonnes, reflecting forecast higher exports from Latin America and the United States. However, the increase in exports from Brazil is likely to be limited by strong demand from domestic crushers. Paraguay is also forecast to remain a significant exporter of soybeans, after the president of Paraguay vetoed the introduction of a 10 per cent export tax on soybeans. China is expected to remain the major importer of soybeans, with imports reaching a record 68 million tonnes. Indonesia is likely to increase imports of soybeans this year following removal of the import duty of 5 per cent in September 2013.

Page 57: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

55

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Canola exports are forecast to increase by 8 per cent in 2013–14 to around 13 million tonnes, largely due to forecast higher shipments from Canada and the Black Sea region. China is forecast to overtake the European Union as the world’s largest importer of canola in 2013–14, with its imports forecast to reach around 3.4 million tonnes. In addition to relaxing restrictions on canola trade with Australia and Canada earlier this year, China also recently permitted imports of canola from the Russian Federation.

Sunflower seed exports are forecast to rise by 20 per cent in 2013–14 to around 1.7 million tonnes.

Large soybean stocks expectedWorld closing stocks of oilseeds are forecast to rise by 18 per cent in 2013–14 to around 85 million tonnes, reflecting a significant rise in soybean stocks. World soybean stocks are forecast to increase by 17 per cent to 73 million tonnes. Stocks are expected to increase in all major producing countries. In Latin America and the United States, the forecast rise in stocks is largely because of expected higher domestic production. By contrast, China is expected to build stocks through increased imports.

Canola stocks are forecast to reach around 4.7 million tonnes in 2013–14. Despite the forecast rise, this is still the second lowest closing stock level since 2007–08. Sunflower seed stocks are forecast to increase by 48 per cent to 2.6 million tonnes.

Soybean stocks, major producers

OtherUnited StatesChina

Mt

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

10

20

30

40

50

60

70

80

BrazilArgentina

Page 58: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

56

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

AustraliaAustralian canola production is forecast to fall by 15 per cent in 2013–14 to 3.4 million tonnes, driven by large declines in production in New South Wales and Victoria. Production is expected to increase in the other major producing states of Western Australia and South Australia. If this forecast is realised, canola production in Australia would be the third highest on record.

Canola production is forecast to fall by 46 per cent in New South Wales to 715 000 tonnes and by 42 per cent in Victoria to around 540 000 tonnes. In New South Wales, the planted area is estimated to have fallen by 41 per cent and yields were adversely affected by unfavourable seasonal conditions during winter and spring. Canola crops were also affected by frost in October, particularly in the southern part of the state. In Victoria, the forecast fall in production reflects an estimated 36 per cent decline in planted area and the adverse effects on yields of significant frosts in early spring.

By contrast, canola production is forecast to rise by 29 per cent in Western Australia to 1.7 million tonnes and by 5 per cent in South Australia to 456 000 tonnes. In Western Australia, the forecast increase is driven by an expected 28 per cent rise in the average yield. This is largely the result of favourable conditions during spring. In South Australia, the forecast rise is driven by expected higher yields. The planted area in South Australia is estimated to have fallen by 18 per cent.

Canola exports are forecast to fall by 25 per cent in 2013–14 to 2.6 million tonnes, largely reflecting the forecast decline in domestic production. In 2013–14 the European Union and China are forecast to be the primary importers of Australian canola. The value of canola exports is forecast to decline by 31 per cent to $1.4 billion in 2013–14, reflecting expected lower shipments and weaker prices.

Australian canola production by state

2011–122012–132013–14

Mt

0.3

0.6

0.9

1.2

1.5

1.8

SouthAustralia

VictoriaNew SouthWales

WesternAustralia

Page 59: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

57

Oilseeds

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Oilseeds outlookOilseeds outlookOilseedsoutlook% 

unit 2011–12 2012–13 s 2013–14 f changeunit 2011–12 2012–13 s 2013–14 f changeWorldWorldProduction Mt  445  470  498  6.0ProductionConsumption Mt 465 464 485 4 5Consumption Mt  465  464  485  4.5oilseed meal Mt 258 263 274 4 2– oilseed meal Mt  258  263  274  4.2

bl il– vegetable oil Mt  153  156  165  5.8gExports Mt 111 115 126 9 6Exports   Mt  111  115  126  9.6Closing stocks Mt 65 72 85 18 1Closing stocks Mt  65  72  85  18.1St k t ti % 14 15 17Stocks‐to‐use ratio %  14  15  17Soybeans indicator price  a US$/t  506  597  510 –14.6Soybeans indicator price  a $/Canola indicator price b US$/t 621 628 500 –20.4Canola indicator price  b US$/t  621  628  500 –20.4

A t liAustraliaTotal production kt 5 289 5 602 4 918 –12.2Total production kt 5 289 5 602 4 918 12.2– winter kt 3 440 4 023 3 425 –14.9– winter kt 3 440 4 023 3 425 14.9– summer kt 1 849 1 579 1 493 –5 4– summer kt 1 849 1 579 1 493 –5.4

CanolaProduction kt 3 427 4 010 3 410 –15.0Production kt 3 427 4 010 3 410 15.0Exports c kt 2 323 3 488 2 621 –24 9Exports  c   kt 2 323 3 488 2 621 –24.9value A$m 1 344 2 094 1 437 31 4– value A$m 1 344 2 094 1 437 –31.4

Price  c  (delivered Melbourne) A$/t  521  560  509 –9.1  (delivered Melbourne) A$/t  521  560  509 9.1

a Soybeans, US, fob Gulf, July–June. b Rapeseed, Europe, fob Hamburg, July–June. c July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; ISTA Mielke GmbH, Oil World, Hamburg; United States Department of Agriculture

a Soybeans, US, fob Gulf, July–June. b Rapeseed, Europe, fob Hamburg, July–June. c July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; ISTA Mielke GmbH, Oil World, Hamburg; United States Department of Agriculture

a Soybeans, US, fob Gulf, July–June. b Rapeseed, Europe, fob Hamburg, July–June. c July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; ISTA Mielke GmbH, Oil World, Hamburg; United States Department of Agriculture

a Soybeans, US, fob Gulf, July–June. b Rapeseed, Europe, fob Hamburg, July–June. c July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; ISTA Mielke GmbH, Oil World, Hamburg; United States Department of Agriculture

a Soybeans, US, fob Gulf, July–June. b Rapeseed, Europe, fob Hamburg, July–June. c July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; ISTA Mielke GmbH, Oil World, Hamburg; United States Department of Agriculture

a Soybeans, US, fob Gulf, July–June. b Rapeseed, Europe, fob Hamburg, July–June. c July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; ISTA Mielke GmbH, Oil World, Hamburg; United States Department of Agriculture

Page 60: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

58 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Lower sugar prices in 2013–14The world indicator price for raw sugar (Intercontinental Exchange, nearby futures, no. 11 contract) is forecast to fall by around 6 per cent in 2013–14 (October to September) to average US17 cents a pound. The forecast price decline reflects world sugar production being forecast to exceed consumption for the fourth consecutive year. This is expected to lift world sugar stocks to a record high. If realised, this price will be the lowest in five years but similar to the average price achieved in the 10 years to 2012–13 (in real terms).

World sugar indicators

Production

Consumption

Mt2013–14USc/lb

Indicator price(right axis)

f ABARES forecast.

40

80

120

160

200

6

12

18

24

30

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

World sugar production to remain high in 2013–14World sugar production is forecast to be 181.6 million tonnes in 2013–14, down marginally from the record production of 183.6 million tonnes in 2012–13. Production is forecast to be lower in Europe, the United States, India and Mexico but higher in Brazil, Thailand and China.

SugarBenjamin K Agbenyegah

Page 61: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

59

Sugar

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Change in world sugar production

2013–14f

2012–13

Mt

f ABARES forecast.

world

other

United States

Thailand

Mexico

India

European Union

Eastern Europe

China

Brazil

Australia

–2

2

0

4

6

8

10

Sugar production in Brazil is forecast to increase by 0.43 million tonnes in 2013–14 (October to September) to a record 41.4 million tonnes. The forecast increase largely reflects an increase in the area planted to sugar cane and a renewal of old sugar cane plantings in response to favourable world prices. Seasonal conditions have also been more favourable in 2013–14 after adverse seasonal conditions affected crops in 2012–13.

Sugar cane production in Brazil is forecast to increase by 10 per cent in 2013–14 to 645 million tonnes. Around 45 per cent of the cane is likely to be used for sugar production, 5 percentage points lower than in 2012–13. This expected decline partly reflects an increase in the mandatory blending ratio of anhydrous ethanol with gasoline from 20 per cent to 25 per cent, effective from 1 May 2013.

Sugar cane production and allocation, Brazil

Cane production

Sugar production

Mt %

Sugar share (right axis)

a April–March years. f ABARES forecast.

100

200

300

400

500

600

700

10

20

30

40

50

60

70

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02a

Page 62: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

60

Sugar

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

In China, sugar production is forecast to increase by 3 per cent in 2013–14 to 14.6 million tonnes, driven by an expected 6 per cent increase in the average yield. However, the area planted to sugar cane is expected to decline by around 3 per cent in response to lower world sugar prices.

Sugar production in Thailand is forecast to increase by 11 per cent in 2013–14 to a record 11.1 million tonnes. The forecast increase largely reflects an expected 11 per cent rise in the average sugar yield from the drought-affected crop of 2012–13.

Sugar production in India is forecast to fall by 4.0 per cent in 2013–14 to 26.1 million tonnes, largely reflecting a 3.5 per cent fall in the area planted to sugar cane and lower sugar yields.

Sugar production in the United States is forecast to be largely unchanged at 8.1 million tonnes in 2013–14. The area planted to cane and beet is estimated to be lower. The decline in the area planted to sugar beet was mainly the result of unusually wet and cold conditions at the time of planting.

Mexican sugar production is forecast to decline by around 11 per cent in 2013–14 to 6.6 million tonnes. This reflects an expected 10 per cent decline in yields following dry seasonal conditions at the time of planting and lower cane planting.

Sugar production in the European Union is forecast to decline by 7 per cent in 2013–14 to 16.3 million tonnes, which if realised will be the lowest in five years. The forecast decline in production is the result of a 3 per cent reduction in sugar beet plantings and expected lower yields.

Sugar production in Eastern Europe is forecast to fall by 15 per cent in 2013–14 to 7.6 million tonnes, which largely reflects a reduction in the area planted to sugar beet. In the Russian Federation sugar production is forecast to decline by 11 per cent to 4.4 million tonnes and in Ukraine to decline by around 32 per cent to 1.7 million tonnes. In both countries, the declines are largely the result of a fall in the area planted to sugar beet.

Record world sugar consumption in 2013–14World sugar consumption is forecast to increase by 2.2 per cent in 2013–14 to a record 176.8 million tonnes, driven by expected income growth, particularly in China, Indonesia, India and Brazil.

With world sugar production forecast to exceed world consumption for the fourth consecutive year, world closing stocks of sugar are forecast to increase by 6 per cent in 2013–14 to a record 80 million tonnes. The world stocks-to-use ratio is forecast to rise by 2 percentage points to around 45 per cent, well above the average of 40 per cent for the 10 years to 2012–13.

Page 63: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

61

Sugar

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World sugar surplus/deficit and stocks-to-use ratio

Mt %

Stocks-to-use ratio(right axis)

f ABARES forecast.

Surplus/de�cit

0

–10

–5

5

10

15

10

20

30

40

50

60

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

World sugar trade to increase in 2013–14World sugar exports are forecast to increase by 3 per cent in 2013–14 to 58.1 million tonnes, reflecting strong import demand by the European Union, the United States and the Russian Federation and an increase in the supply of sugar available for export from Brazil, Thailand and India.

In 2013–14 sugar imports into the European Union are forecast to increase by 9 per cent to 4.7 million tonnes and into the Russian Federation more than double to 1.5 million tonnes. The increase in imports in both regions is expected to be driven by forecast falls in local production and strong domestic demand.

Sugar imports into the United States are forecast to rise by 16 per cent in 2013–14 to 3.1 million tonnes. In the 2012–13 marketing year, some exporters to the United States had insufficient supplies available to fill the import quotas at a concessional tariff allocated to them. These quota allocations are likely to be filled this year. Sugar imported at the concessional tariff is attractive to US importers because it is cheaper than sugar produced in the United States.

US sugar imports and tariff quota

Other Free trade agreement sugar tari� rate quotaMexico–North AmericaFree Trade Agreement

World Trade OrganizationallocationWorld Trade Organizationminimum import commitment

Mt

f ABARES forecast.

0.5

1.0

1.5

2.0

2.5

3.0

3.5

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

Page 64: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

62

Sugar

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Sugar exports from Brazil are forecast to increase by around 3 per cent in 2013–14 to a record 27.7 million tonnes. This forecast increase reflects strong world demand and record production in Brazil.

In Thailand, sugar exports are forecast to increase by around 39 per cent in 2013–14 to a record 8.5 million tonnes, reflecting an increase in the supply of sugar available for export.

Sugar exports from India are forecast to more than double in 2013–14 to 2.2 million tonnes. The expected increase in exports is driven by forecast production exceeding consumption for the fourth consecutive year.

Australian sugar production slightly lower in 2013–14Australian sugar production is forecast to fall by around 2 per cent in 2013–14 to 4.2 million tonnes, driven by an estimated 5 per cent decline in average yield. However, the area of sugar cane harvested is expected to rise by around 3 per cent and partially offset the effect on production of a lower average yield. Yields are expected to fall because of flooding in early 2013 that damaged new plantings and the spread of canopy syndrome disease in the Bundaberg and Isis regions.

Queensland Sugar Limited, the marketer of more than 90 per cent of Australia’s raw sugar exports, estimated its gross harvest pool return in 2013–14 to be $393 a tonne International Polarity Scale, 9 per cent lower than in 2012–13. However, Queensland Sugar Limited notes that the final harvest pool return depends on future movements in world sugar prices and the Australian exchange rate. If realised, the forecast harvest pool return for 2013–14 would be 10 per cent higher (in real terms) than the 10-year average to 2011–12 for the seasonal pool of $306 a tonne International Polarity Scale. Queensland Sugar Limited’s seasonal pool arrangement was replaced in 2012–13 by a harvest pool arrangement.

The average mill-gate return to Australian cane growers in 2013–14 is forecast to be $38 a tonne, down from $44 a tonne in 2012–13. This largely reflects forecast lower world sugar prices in 2013–14. However, an assumed lower Australian dollar is expected to partially offset the effect of lower world prices on grower returns. Although the forecast mill-gate return would be the lowest since 2008–09, it would still be around 4 per cent higher than the average (in real terms) in the decade to 2009–10.

Australian sugar exports are forecast to remain largely unchanged in 2013–14 at 3.0 million tonnes. However, the value of Australian sugar exports is forecast to decline by around 9 per cent to around $1.3 million because of forecast lower world prices.

Page 65: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

63

Sugar

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian sugar production, exports and returns to cane growers

Mt2012–13$/t

Production

Return to cane growers(right axis)

f ABARES forecast.

Exports

10

20

30

40

50

60

1

2

3

4

5

6

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

Sugar outlookSugar outlookSugaroutlook% 

unit 2011–12 2012–13 s 2013–14 f changeunit 2011–12 2012–13 s 2013–14 f change

W ldWorld  a Production Mt 174.3 183.6 181.6 –1.1Production– Brazil Mt 36.9 41.0 41.4  1.0 Brazil Mt 36.9 41.0 41.4  1.0Consumption Mt 168 0 173 0 176 8 2 2Consumption  Mt 168.0 173.0 176.8  2.2Exports Mt 54 3 56 4 58 1 3 0Exports Mt 54.3 56.4 58.1  3.0Cl i t k Mt 63 8 75 2 80 0 6 4Closing stocks Mt 63.8 75.2 80.0  6.4Stocks‐to‐use ratio % 38 43 45Price USc/lb 22.7 18.0 17.0 –5.6Price USc/lb 22.7 18.0 17.0 5.6

A t li bA ’000 h 368 371 382 3 0Australia  bArea  ’000 ha 368 371 382  3.0Production  c kt 3 683 4 300 4 200 –2.3Production  c kt 3 683 4 300 4 200 2.3Exports kt 2 572 2 996 2 958 –1.3Exports kt 2 572 2 996 2 958 –1.3– value A$m 1 556 1 403 1 276 –9 1– value A$m 1 556 1 403 1 276 –9.1a October–September years. b July–June years. c Raw tonnes actual. f ABARES forecast.s ABARES estimate. Sources: ABARES; Australian Bureau of Statistics; International Sugar Organization

a October–September years. b July–June years. c Raw tonnes actual. f ABARES forecast.s ABARES estimate. Sources: ABARES; Australian Bureau of Statistics; International Sugar Organization

a October–September years. b July–June years. c Raw tonnes actual. f ABARES forecast.s ABARES estimate. Sources: ABARES; Australian Bureau of Statistics; International Sugar Organization

a October–September years. b July–June years. c Raw tonnes actual. f ABARES forecast.s ABARES estimate. Sources: ABARES; Australian Bureau of Statistics; International Sugar Organization

a October–September years. b July–June years. c Raw tonnes actual. f ABARES forecast.s ABARES estimate. Sources: ABARES; Australian Bureau of Statistics; International Sugar Organization

a October–September years. b July–June years. c Raw tonnes actual. f ABARES forecast.s ABARES estimate. Sources: ABARES; Australian Bureau of Statistics; International Sugar Organization

Page 66: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

64 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World cotton prices lower in 2013–14The world indicator price for cotton (Cotlook ‘A’ index) is forecast to average US86 cents a pound in 2013–14 (August to July), compared with around US88 cents a pound in 2012–13. The forecast price decline reflects a forecast increase in the world stocks-to-use ratio to record levels as world cotton stocks increase further.

This price forecast assumes China will continue its stock building policies in 2013–14. China accounted for 57 per cent of total world cotton stocks in 2012–13. This followed two years of strong purchases from domestic and international markets, which added around 11 million tonnes to its national reserve. In 2013–14 China’s share of world cotton stocks is forecast to reach 60 per cent, limiting availability of cotton on world markets if stocks are not released to domestic and international markets. However, should the Chinese Government stop stock building or release its cotton stocks onto the world market, world cotton prices could be significantly lower than currently forecast.

Daily cotton prices in China

USc/lb

3 Dec2013

10 Jul2013

4 Feb2013

3 Sep2012

27 Mar2012

26 Oct2011

China Cotton Index (328)

Cotlook ‘A’ Index

30

60

90

120

150

180

CottonBenjamin K Agbenyegah

Page 67: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

65

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World cotton indicators (annual)

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

Production

Consumption

Mt2013–14USc/lb

Indicator price(right axis)

f ABARES forecast.

5

10

15

20

25

30

30

60

90

120

150

180

World cotton production lower in 2013–14World cotton production is forecast to decline by around 3 per cent in 2013–14 to 25.7 million tonnes. This reflects a fall in world cotton plantings in response to favourable prices for alternative crops and dry seasonal conditions in the United States. Lower cotton production is forecast in the United States, China, Turkey and Uzbekistan in 2013–14, more than offsetting forecast production increases in India, Brazil and Pakistan.

Changes in world cotton production, by country

2013–14f

2012–13

Mt

f ABARES forecast.

–0.8

–0.6

–0.4

–0.2

0

0.2

0.4

0.6

world

other

Turkey

Uzbekistan

Australia

Brazil

Pakistan

United States

India

China

Page 68: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

66

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

In the United States, cotton production is forecast to decline by 25 per cent in 2013–14 to 2.8 million tonnes. The area planted to cotton declined by an estimated 17 per cent to 4.13 million hectares—the lowest in four years. This is because of relatively high prices for alternative crops, including maize and soybeans, and dry seasonal conditions, particularly in the dryland cotton growing areas of Texas. The dry seasonal conditions have also increased the abandonment rate (the area planted but not harvested because of poor yields), which is expected to be 24 per cent in 2013–14, well above the average of 12.5 per cent for the 10 years to 2011–12. The average lint yield in 2013–14 is assumed to be around 912 kilograms a hectare.

Cotton area and lint yield in the United States

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

Area planted

Area harvested

Mha kg/ha

Lint yield (right axis)

f ABARES forecast. Note: Lint yield is based on planted area.

1

2

3

4

5

6

7

200

400

600

800

1000

1200

1400

Cotton production in China is forecast to decline to 7.2 million tonnes in 2013–14, around 6 per cent lower than in 2012–13. This reflects an estimated 5.5 per cent reduction in planted area and an assumed small decline in average yield. The estimated fall in planted area largely reflects declining returns to growers. Higher production costs, particularly for labour, are negatively affecting profitability, despite the Chinese Government maintaining the minimum support price for cotton at RMB20 400 a tonne (around US150c a pound) in 2013–14.

In India, cotton production is forecast to increase by 10 per cent in 2013–14 to a record 6.3 million tonnes. The forecast increase reflects an estimated 2 per cent rise in planted area and an assumed 8 per cent rise in average yield. The yield increase follows a favourable monsoon, which delivered rainfall well above the long-term average.

Cotton production in Pakistan is forecast to be 2.1 million tonnes in 2013–14, 4 per cent larger than in 2012–13. The forecast increase reflects an assumed 4 per cent rise in average yield based on a return to more normal seasonal conditions in 2013–14, following the effects of drought and leaf curl virus on cotton yields last season.

In Brazil, cotton production is forecast to increase by around 27 per cent in 2013–14 to 1.6 million tonnes. The forecast increase reflects an estimated 22 per cent increase in cotton plantings in response to relatively high domestic cotton prices and an assumed 5 per cent rise in average yield. Higher yields reflect greater take up of genetically modified cotton varieties by growers in 2013–14. Genetically modified cotton varieties have been boosting lint yield potentials since their official adoption in 1996 (see box).

Page 69: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

67

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Adoption of genetically modified cottonGenetically modified (GM) cotton varieties were globally commercialised in 1996. Since then, the area of GM cotton varieties planted worldwide has increased steadily to 24.3 million hectares in 2012, constituting 71 per cent of total world cotton planting area.

GM cotton is grown in India, China, the United States and Pakistan. Smaller producers, including Australia, South Africa, Burkina Faso, Sudan, Brazil, Argentina, Paraguay, Colombia, Mexico, Costa Rica, Myanmar and Egypt, also grow GM cotton. Together, these 16 countries accounted for more than 85 per cent of world cotton production and 73 per cent of international trade in raw cotton in the five years to 2012–13.

World area harvested of genetically modified cotton varieties

Herbicide tolerantInsect resistant andherbicide tolerantInsect resistant

Mha

Non-genetically modied

5

10

15

20

25

30

35

40

201220092006200320001997

Pattern of adoption of genetically modified cotton varieties

1996 Insect resistant GM cotton was commercialised in the United States and Australia, with a single Bacillus thuringiensis (Bt) gene conferring resistance to key cotton insect (lepidopteran) pests. These varieties were adopted by Mexico (1997), Argentina (1999), China (1999), India (2002), Colombia (2004) and Brazil (2006). The introduction of Bt varieties has greatly reduced targeted pest numbers. This has also benefited non-Bt cotton adopters and producers of other crops affected by polyphagous pests that feed on many types of food. In Australia, this trait helped reduce insecticide use by 45 per cent. In India, it has led to yield improvements of around 10 per cent.

1997 GM cotton varieties tolerant to selected herbicides were commercialised in the United States, enabling over-the-top herbicide application in the vegetative stage of plant growth. The varieties were adopted by Australia (2000), Argentina (2001) and Colombia (2007).

2000 GM cotton varieties with both insect resistance (single Bt gene) and herbicide tolerance traits (stacked genes) were introduced in the United States and later adopted by Australia (2003) and Colombia (2008).

continued...

Page 70: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

68

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Adoption of genetically modified cotton continued

2001 GM cotton varieties with two Bt genes for insect resistance and a herbicide resistant gene were commercialised in the United States and Australia. Colombia adopted the varieties in 2009. Widespread adoption of GM cotton varieties with two Bt genes has further reduced pesticide application to cotton.

In Australia, adoption of double Bt gene varieties has enabled an 80 per cent reduction in the number of insecticide applications each season, compared with conventional varieties. Following the introduction of double Bt cotton, the single Bt varieties were discontinued in Australia and are being phased out in the United States.

2006 GM cotton varieties containing two copies of the original gene conferring herbicide tolerance expressed in both the vegetative and reproductive plant tissue were commercialised in the United States and Australia. This enables over-the-top applications of selected herbicides well into the flowering stage of plant growth.

GM cotton varieties with the two different Bt genes for insect resistance and double copies of a herbicide tolerant gene were also commercialised in the United States and Australia.

The United States, Australia and Colombia are leading adopters of GM cotton varieties with both stacked traits of insect resistance and enhanced herbicide tolerance. By contrast, China and India have larger plantings of insect resistant GM varieties.

Area planted to genetically modified cotton varieties, by six top world producer countries, 2011

Non-genetically modi�edInsect resistant and herbicide tolerantHerbicide tolerant

Mha

Insect resistant

2

4

6

8

10

12

AustraliaBrazilPakistanIndiaChinaUnited States

The adoption of GM cotton varieties has helped reduce pesticide use and improve world lint cotton yields. However, the rate of yield growth is expected to slow as uptake of the current generation of GM cotton crops approaches full potential.

continued...

Page 71: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

69

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World cotton consumption higher in 2013–14World cotton consumption is forecast to increase by 2 per cent in 2013–14 to 23.9 million tonnes, reflecting assumed economic growth in apparel consuming countries, particularly India, Pakistan and Turkey. Chinese cotton consumption is forecast to remain largely unchanged at 7.8 million tonnes in 2013–14 as a result of relatively high domestic prices. Relatively low prices for alternative fibres, particularly polyester, are expected to provide strong competition for cotton, constraining consumption growth.

Share of world cotton consumption, by country

OtherPakistanIndia

%

China

20

40

60

80

100

f ABARES forecast.

2013–14f

2010–11

2007–08

2004–05

2001–02

Adoption of genetically modified cotton continued

World cotton lint yield and adoption of genetically modified varieties

Adoption of genetically modi�ed cotton varieties

% t/ha

Lint yield (right axis)

10

20

30

40

50

60

70

80

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

2012–13

2009–10

2006–07

2003–04

2000–01

1997–98

1994–95

1991–92

1988–89

1985–86

1982–83

Several new GM traits for cotton are undergoing research and development, particularly in the United States and Australia. These traits include triple Bt gene insect resistance, dicamba and glufosinate (herbicide) tolerance, lygus (insect) resistance and reduced water requirement for growth or greater drought tolerance.

Page 72: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

70

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World weekly apparel fibre prices

USc/lb

Cotlook ‘A’ indicator

Polyester staple, China(cotton equivalent)

Polyester staple, Taiwan(cotton equivalent)

28 Nov2013

30 May2013

29 Nov2012

31 May2012

24 Nov2011

4 Aug2011

60

70

80

90

100

110

120

130

Record world cotton stocks in 2013–14World closing stocks of cotton are forecast to increase to a record 20.8 million tonnes in 2013–14, 8 per cent more than in 2012–13. If realised, forecast world cotton stocks will be equivalent to world mill use for more than 10 months. The world cotton stocks-to-use ratio is forecast to increase to a record 87 per cent.

In 2013–14 China is forecast to account for 97 per cent of the forecast growth in world cotton stocks, under the assumption of a continuation of its cotton reserve policy. China is forecast to account for 60 per cent of world cotton stocks by the end of 2013–14, lifting its stocks-to-use ratio for cotton to a record 161 per cent. However, the ratio for the world (excluding China) is forecast to decline to 51 per cent, the lowest level since 2010–11.

Stocks-to-use ratio for cotton

%

ChinaWorldWorld excluding China

f ABARES forecast.

30

60

90

120

150

180

2013–14f

2010–11

2007–08

2004–05

2001–02

Page 73: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

71

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World cotton trade lower in 2012–13World cotton exports are forecast to be 8.6 million tonnes in 2013–14, 15 per cent lower than in 2012–13. This forecast decline reflects expected lower cotton production in major exporting countries, particularly the United States and Australia, and forecast lower import demand by China.

Cotton imports by China are forecast to decline by 46 per cent in 2013–14 to 2.4 million tonnes as rebuilding of China’s strategic reserve slows. The forecast cotton imports, if realised, will be less than half the record imports of 2011–12 and the lowest since 2009–10.

Cotton exports by the United States—the world’s largest exporter—are forecast to decrease by 20 per cent in 2013–14 to 2.3 million tonnes, reflecting forecast lower domestic production.

In India, cotton exports are forecast to fall by 8 per cent in 2013–14 to 1.5 million tonnes. This forecast decline reflects lower import demand from China.

Australian cotton production lower in 2013–14Australian cotton production is forecast to be 975 000 tonnes in 2013–14, compared with 1 million tonnes in 2012–13. The forecast reflects a combination of relatively favourable cotton prices in Australia and plentiful supplies of irrigation water in almost all Australian cotton producing regions. The average storage level of public irrigation dams serving Australian cotton growing regions was 63 per cent of capacity on 19 November 2013, compared with an average of 42 per cent at the same time for the 10 years to 2011.

Storage levels of main irrigation dams, at 19 November 2013

%

20

New South Wales Queensland

40

60

80

100

120

Bear

dmor

e(S

t Geo

rge)

othe

r

othe

r

Fairb

airn

(Em

eral

d)

Lesl

ie(D

arlin

g D

owns

)

Burr

endo

ng(M

acqu

arie

)

Pind

ari

(Mac

inty

re)

Keep

it(N

amoi

)

Gle

nlyo

n(M

acin

tyre

)

Cope

ton

(Gw

ydir)

20122013

Average of the 10 yearsto 2011

Page 74: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

72

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Recovery in Australian cotton pricesThe return to Australian cotton growers at the gin-gate is forecast to increase by 4 per cent in 2013–14 to $493 a bale (227 kilograms) of lint (including the value of cottonseed and net of ginning costs), with the assumed depreciation of the Australian dollar more than offsetting the forecast fall in world prices. The forecast return to cotton growers is lower than the average of the 10 years to 2011–12 of $545 a bale (2013–14 dollars), but still favourable when compared with returns for production alternatives.

Australian cotton exports lower in 2013–14Australian cotton exports are forecast to be 987 000 tonnes in 2013–14, 24 per cent lower than the record 1.3 million tonnes of 2012–13. This forecast decline reflects lower cotton production in 2012–13 and 2013–14. Almost all Australian cotton production is exported and the typical March to June harvest period means Australian cotton production in one season is exported across two financial years. If realised, this forecast export volume would maintain Australia’s position as the world’s third largest exporter of cotton, behind the United States and India.

Australian cotton production, exports and gin-gate returns

Production

Exports

kt2013–14$/bale

Gin-gate return a (right axis)

a Value of lint and cottonseed, less ginning costs. f ABARES forecast.

200

400

600

800

1000

300

600

900

1200

1500

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

1999–2000

1997–98

1995–96

Page 75: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

73

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Cotton outlook% 

unit 2011–12 2012–13 s 2013–14 f changeunit 2011–12 2012–13 s 2013–14 f change

WorldP d ti Mt 27 2 26 4 25 7 2 7World  aProduction  Mt 27.2 26.4 25.7 –2.7Consumption  Mt 22.5 23.4 23.9  2.1Consumption Exports Mt 10.0 10.1 8.6 –14.9Exports Mt 10.0 10.1 8.6 14.9Closing stocks Mt 15 9 19 2 20 8 8 3Closing stocks  Mt 15.9 19.2 20.8  8.3Stocks to use ratio % 70 5 82 1 87 2Stocks‐to‐use ratio % 70.5 82.1 87.2C tl k ‘A’ i d US /lb 100 1 87 9 86 0 2 2Cotlook ‘A’ index  USc/lb 100.1 87.9 86.0 –2.2

Australia bArea harvested ’000 ha 600 442 413 –6 6Australia  bArea harvested  ’000 ha  600  442  413 –6.6Lint production kt 1 198 1 002 975 2 7Lint production kt 1 198 1 002  975 –2.7E t k 994 1 306 987 24 4Exports kt  994 1 306  987 –24.4p– value A$m 2 736 2 695 2 181 –19.1 value $ 36 695 8 9a August–July years. b July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United States Department of Agriculturea August–July years. b July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United States Department of Agriculturea August–July years. b July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United States Department of Agriculturea August–July years. b July–June years. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; United States Department of Agriculture

‘‘

Page 76: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

74

Cotton

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Page 77: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

AgricultureLivestock

Page 78: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

76 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Beef and vealClay Mifsud

In the first four months of 2013–14, the weighted average saleyard price of beef cattle was 293 cents a kilogram (dressed weight). This was after a fall of 10 per cent to 297 cents a kilogram in 2012–13, the lowest in real terms since 1998–99. Drier than average seasonal conditions during winter and spring, following the failure of the northern wet season, contributed to an increased supply of cattle for slaughter and further downward pressure on saleyard prices.

The effect of adverse seasonal conditions on cattle prices and slaughter numbers has been most extensive in Queensland, which comprises around 50 per cent of the national beef cattle herd. As of 31 October 2013, around 60 per cent of Queensland was drought declared. Low restocker demand in Queensland and interstate has contributed to the low prices.

For 2013–14 as a whole, the Australian weighted average saleyard price of beef cattle is forecast to average 3 per cent higher at 305 cents a kilogram (dressed weight). Higher beef export demand, particularly from emerging markets, and an assumed lower Australian exchange rate are expected to result in improved prices for heavy steers. Increased demand from Indonesia for live cattle is likely to be a positive influence on trade steer prices in northern Australia. However, partially offsetting forecast higher steer prices are lower cow prices. Until there is a seasonal break, producers who are unable to support existing herd sizes are likely to continue to offload female breeding stock.

The main risk factor in the outlook for saleyard prices for the remainder of 2013–14 is uncertainty surrounding short-term seasonal conditions. If dry conditions persist in many major cattle producing regions, saleyard prices are likely to be lower than currently forecast.

Page 79: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

77

Beef and veal

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian cattle slaughter and saleyard price

Slaughter

millionhead

2013–14Ac/kg

Price (right axis)

f ABARES forecast.

2

4

6

8

10

100

200

300

400

500

2013–14f

2010–11

2007–08

2004–05

2001–02

1998–99

1995–96

Higher slaughter and productionDuring the first four months of 2013–14, cattle and calf slaughter increased by 16 per cent year-on-year to 3.3 million head. It comprised a 7 per cent increase in male cattle slaughter to 1.6 million head, a 28 per cent increase in female cattle slaughter to 1.4 million head and a 14 per cent increase in calf slaughter to 324 000 head.

Reflecting the higher cattle slaughter, beef and veal production over the first four months of 2013–14 increased by 12 per cent year-on-year to 845 000 tonnes (carcass weight). The higher proportion of lighter female cattle slaughtered contributed to average slaughter weights declining by 4 per cent year-on-year to 255 kilograms.

For 2013–14 as a whole, cattle and calf slaughter is forecast to rise by 6 per cent to 8.9 million head. Beef and veal production is forecast to rise by 3 per cent in 2013–14 to a record 2.3 million tonnes.

Cattle numbers to declineThe beef cattle herd is forecast to be 25 million head as at 30 June 2014, 2 per cent lower than the previous year. Lower cattle numbers are a reflection of the significant increase in slaughter, and lower calving going into 2014. The forecast cattle herd at the end of 2013–14 takes into account the preliminary estimate of herd numbers at the end of 2012–13 released by the Australian Bureau of Statistics (ABS) on 15 November 2013. The ABS estimates that beef cattle numbers fell by 1 per cent in 2012–13 to 25.5 million head as at 30 June 2013.

Page 80: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

78

Beef and veal

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Record Australian beef exportsAustralian beef and veal exports in 2013–14 are forecast to rise by 7 per cent to a record 1.1 million tonnes (shipped weight), reflecting growing demand from emerging markets. With domestic beef demand largely unchanged, the proportion of Australian beef and veal production that is exported is forecast to increase in 2013–14 to around 70 per cent. Forecast higher export volumes to the United States, China and the Middle East are expected to more than offset forecast lower exports to Australia’s largest market, Japan.

Australian beef and veal exports (shipped weight)

kt

2013–14f

2012–13

Other

Middle East

South-East Asia

Republic of Korea

China

United States

Japan

50 100 150 200 250 300

f ABARES forecast.

The assumed depreciation of the Australian dollar is expected to provide support for beef export earnings in 2013–14. The value of Australian beef and veal exports in 2013–14 is forecast to rise by 12 per cent to $5.4 billion. Beef export unit prices, denominated in Australian dollars, have averaged higher year-on-year so far in 2013–14.

Australian beef losing market share in JapanAustralian beef and veal exports to Japan are forecast to fall by 6 per cent in 2013–14 to 280 000 tonnes (shipped weight), the lowest since 2002–03, as competition from US beef exports increases. Since Japan’s further relaxation of bovine spongiform encephalopathy (BSE) related restrictions on US beef in February 2013, exports of US beef to Japan have increased by more than 50 per cent year-on-year. With total Japanese import demand for beef largely unchanged, increased US exports to Japan have resulted in weaker Japanese demand for Australian beef exports.

The decline in Australian beef and veal exports to Japan is consistent with the partial re-entry of US beef to the Japanese beef import market in 2006, resulting in lower demand from Japan for most types of Australian beef. From 2005–06 to 2012–13 exports of chilled grain-fed and grass-fed beef fell by 40 per cent and 42 per cent to 82 000 tonnes and 42 000 tonnes, respectively. Similarly, exports of frozen grain-fed beef fell by 24 per cent to 39 000 tonnes. By contrast, exports of frozen grass-fed beef rose by 6 per cent to 135 000 tonnes, partially offsetting the fall in other types of exports. In the first five months of 2013–14, total Australian beef and veal exports to Japan fell 7 per cent year-on-year to 125 000 tonnes.

Page 81: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

79

Beef and veal

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Beef supply, Japan

Imports – otherImports – United StatesImports – Australia

kt

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

Domestic production

200

400

600

800

1000

f ABARES forecast.

Exports to the United States growingAustralian beef and veal exports to the United States are forecast to increase by 11 per cent in 2013–14 to 230 000 tonnes (shipped weight), reflecting a decline in the domestic supply of manufacturing beef in the United States and an assumed depreciation of the Australian dollar against the US dollar.

In 2013–14 US supply of cow beef for the grinding market is expected to decline. Compared with 2012–13, improved seasonal conditions, significantly lower corn prices and higher world dairy prices resulted in increased returns from US dairy production. As a result, US producers are expected to increase their retention of cows and heifers, thereby reducing the supply of cows to slaughter.

Increased US demand for imported manufacturing beef is placing upward pressure on beef import prices, while the assumed weaker Australian exchange rate would result in returns to Australian exporters increasing at a faster rate in Australian currency terms. In the first five months of 2013–14, the 90 chemical lean manufacturing beef import price averaged 423 cents a kilogram, 7 per cent higher year-on-year.

Despite a forecast increase in 2013–14, Australian beef and veal exports to the United States are unlikely to approach volumes recorded a decade ago, for two reasons. First, since then the price of manufacturing beef, largely used in the foodservice sector, has increased substantially relative to substitutes such as chicken. In 2003–04 the price of a 78 chemical lean meat block used in the production of hamburger patties was around 60 per cent of the price of an equivalent volume of chicken breast. In 2013–14 the same 78 chemical lean meat block is around 30 per cent more expensive than the equivalent chicken breast. Second, new export markets for Australian manufacturing beef have emerged where prices sometimes exceed those in the US market.

Page 82: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

80

Beef and veal

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Beef and veal exports to the United States

ChilledFrozen

kt2013–14A$m

Value (right axis)

f ABARES forecast.

100

200

300

400

500

1000

1500

2000

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

Demand for imported beef in China to riseAustralian beef and veal exports to China are forecast to increase by 74 per cent in 2013–14 to 160 000 tonnes (shipped weight), reflecting growth in demand for beef in China exceeding growth in local production. While China is the world’s third largest beef producer (after the United States and Brazil), production has remained largely unchanged since 2010, and an increase in demand is resulting in higher imports. Over the 10 years to 2011–12, imports as a proportion of Chinese beef consumption averaged less than 1 per cent. In 2012–13 this increased to around 2 per cent of consumption and is expected to increase further to 8 per cent in 2013–14.

Australia is the largest supplier of imported beef to China, accounting for 50 per cent of imports over the past year. Uruguay accounts for 25 per cent of beef imports and New Zealand accounts for 15 per cent. Beef imports from the United States and Brazil, two of the largest exporters, remain banned in China on BSE-related grounds.

Growth in demand for beef in China is reflected in the change in domestic retail meat prices over the five years to 2013–14. According to the Chinese Ministry of Agriculture, in November 2008 the average beef price in China was RMB33 per kilogram, compared with RMB19 per kilogram for pork. In November 2013 beef prices averaged RMB61 per kilogram, compared with RMB26 per kilogram for pork and RMB19 per kilogram for chicken.

In August 2013 the Chinese Government advised that export meat plants must be specifically listed to export chilled meat to China. Most Australian beef exports to China are frozen beef but chilled beef exports have increased. In the 12 months to August 2013, chilled beef made up around 8 per cent of Australian beef exports to China. Since September 2013, chilled beef exports to China have been negligible. The Australian Government Department of Agriculture is working with exporters to provide the information required.

Page 83: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

81

Beef and veal

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Beef and veal imports, China

OtherUruguayNew Zealand

kt

Australia

20

40

60

80

100

Sep2013

Mar2013

Sep2012

Mar2012

Sep2011

Mar2011

Sep2010

Mar2010

Australian beef remains price competitive in Republic of KoreaAustralian beef and veal exports to the Republic of Korea are forecast to increase by 5 per cent in 2013–14 to 145 000 tonnes (shipped weight).

US beef exports to the Republic of Korea are expected to be lower in 2013–14 because of higher US beef prices. Korean demand for imported beef is largely for frozen cuts, which Australia can supply at lower prices than the United States. Over the first four months of 2013–14 the landed price of Australian frozen and chilled beef in the Republic of Korea averaged 20 per cent and 9 per cent lower than US beef, respectively.

Beef and veal imports, Republic of Korea

OtherNew ZealandUnited States

kt

2011–12

2009–10

2007–08

2005–06

2003–04

Australia

50

100

150

200

250

300

f ABARES forecast.

2013–14f

Page 84: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

82

Beef and veal

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

The effect of the Korea–United States Free Trade Agreement on the relative shares of Korean beef imports has so far been minimal. The decline in tariffs imposed on imports of US beef has been largely offset by higher US beef prices. Since 1 January 2011 tariffs imposed on imports of US beef have fallen by 13.5 per cent, to 34.6 per cent. However, the average landed price of US beef in the Republic of Korea has risen by 11 per cent to $5.76 a kilogram. In the 12 months to October 2013, Australia’s share of Korean beef imports was 55 per cent, 4 percentage points higher year-on-year.

The Australian Government announced, on 5 December 2013, the conclusion of negotiations on a free trade agreement with the Republic of Korea that provides for a phased elimination of tariffs on key Australian agricultural exports, including beef.

South-East AsiaAustralian beef and veal exports to South-East Asia are forecast to increase by 6 per cent in 2013–14 to around 100 000 tonnes (shipped weight). The Indonesian Government’s decision to adopt a reference price scheme to administer beef imports, instead of using import quotas, is expected to result in increased Australian beef exports to Indonesia. Around 80 per cent of Indonesia’s beef imports are sourced from Australia.

Exports to the rest of South-East Asia are forecast to remain largely unchanged from 2012–13 because of increased competition from India. Australia’s share of beef imports in the rest of South-East Asia is at around 15 per cent. India is the primary supplier of imported bovine meat to the region, largely because of its price competitiveness. India’s bovine exports are primarily carabeef, a type of buffalo meat. The landed price of carabeef in Malaysia in the first nine months of 2013 averaged 16 per cent lower than Australian beef.

Middle EastAustralian beef and veal exports to the Middle East are forecast to increase by 15 per cent to 55 000 tonnes (shipped weight), with Saudi Arabia, the United Arab Emirates and Jordan accounting for most shipments to the region. The Saudi Government continues to enforce a ban on imports of beef from Brazil, previously its largest supplier, after the detection of BSE in Brazil in December 2012. This has resulted in increased demand for Australian beef.

Increase in live cattle exports to IndonesiaAustralian live feeder and slaughter cattle exports are forecast to increase by 27 per cent in 2013–14 to 650 000 head. Cattle exports to Indonesia are assumed to rise in 2013–14 following the Indonesian Government’s decision to allocate additional import permits.

Allocation of additional import permits and adoption of a reference price mechanism for beef and live cattle imports have contributed to increased live cattle export prices in northern Australia. Prices of feeder steers and feeder heifers (ex Darwin) averaged $2.10 a kilogram and $1.90 a kilogram live weight in November 2013, compared with $1.65 a kilogram and $1.45 a kilogram in August 2013. Higher cattle prices are expected to contribute to the value of feeder/slaughter cattle exports increasing by 33 per cent in 2013–14 to a forecast $450 million.

Page 85: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

83

Beef and veal

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Feeder and slaughter cattle exports, Australia

OtherTurkeyMiddle East

’000head

Other ASEANIndonesia

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

Value (right axis)

2013–14A$m

100

200

300

400

500

600

200

400

600

800

1000

1200

f ABARES forecast.

Under the new reference price mechanism for beef, the Indonesian Ministry of Trade intends to issue permits for cattle and beef imports when the price of secondary beef cuts in Indonesia exceeds the reference price of 76 000 rupiah ($6.98) a kilogram by 15 per cent; imports will be restricted when prices fall to 5 per cent below the reference price. The Indonesian Government will establish a price monitoring team within the Ministry of Trade to evaluate beef prices and recommend a new reference price to the minister, should the need arise. In November 2013 prices of secondary cuts averaged between 94 000 ($8.61) and 107 000 ($9.82) rupiah a kilogram.

Beef and veal outlookBeef and veal outlookBeefandvealoutlook% 

unit 2011–12 2012–13 2013–14 f% 

changeunit 2011–12 2012–13 2013–14 f change

Cattle numbers  a million 28.4 28.4 27.9 –1.8– beef million 25.7 25.5 25.0 –2.0 beef million 25.7 25.5 25.0 2.0Slaughterings ’000 7 873 8 457 8 930 5 6Slaughterings   000 7 873 8 457 8 930  5.6Production kt 2 115 2 245 2 315 3 1Production kt 2 115 2 245 2 315  3.1E ( hi d i h )Exports (shipped weight)– to Japan kt  326  299  280 –6.4p ( pp g ) to Japan kt  326  299  280 6.4– to United States kt 205 207 230 11 1– to United States kt  205  207  230  11.1t Chi kt 8 92 160 73 9– to China kt  8  92  160  73.9

– to Korea, Rep. of kt 123 138  145  5.1 to Korea, Rep. of kt 123 138  145  5.1– total kt 948 1014 1 085 7.0– total kt 948 1014 1 085  7.0value A$m 4 467 4 866 5 430 11 6– value A$m 4 467 4 866 5 430  11.6

’000 9 13 6 0 26Live cattle exports b  ’000  579  513  650  26.7p– value A$m  412  339  450  32.7 value A$m  412  339  450  32.7Pricesaleyard Ac/kg 329 297 305 2 7

Price– saleyard  Ac/kg 329 297 305  2.7

S i /k– US import USc/kg 433 439 445  1.4p g– Japan import USc/kg 600 589 570 –3.2 Japan import USc/kg 600 589 570 3.2a At 30 June. b Excludes breeding stock. f ABARES forecast. Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Meat & Livestock Australia

a At 30 June. b Excludes breeding stock. f ABARES forecast. Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Meat & Livestock Australia

a At 30 June. b Excludes breeding stock. f ABARES forecast. Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Meat & Livestock Australia

a At 30 June. b Excludes breeding stock. f ABARES forecast. Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Meat & Livestock Australia

a At 30 June. b Excludes breeding stock. f ABARES forecast. Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Meat & Livestock Australia

Page 86: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

84 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Lamb prices have fallen in recent months, driven by increased lamb saleyard offerings. Increased lamb turn-off is a result of the large number of spring lambs entering the market because of drier seasonal conditions. Despite the recent price falls, average saleyard prices for the four months to October 2013 were still 10 per cent higher than the same period last year, supported by strong growth in export demand.

For 2013–14 as a whole, the Australian weighted average saleyard price of lamb is forecast to increase by 15 per cent to average 445 cents a kilogram. This follows a 20 per cent decline in 2012–13.

Australian lamb saleyard price and slaughter

Lamb slaughter

millionhead

2013–14Ac/kg

Lamb saleyard price(right axis)

f ABARES forecast.

5

10

15

20

25

150

300

450

600

750

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

The weighted average saleyard price for sheep is forecast to rise by 23 per cent in 2013–14 to 230 cents a kilogram, following a 43 per cent fall in 2012–13. Sheep turn-off over the first four months of 2013–14 increased by 44 per cent year-on-year, with strong growth in export demand for mutton, especially from China.

SheepRobert Leith

Page 87: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

85

Sheep

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian sheep saleyard price and slaughter

Sheep slaughter

millionhead

2013–14Ac/kg

Sheep saleyard price(right axis)

f ABARES forecast.

2013–14f

2011–12

2009–10

2007–08

2005–06

2003–04

2001–02

100

200

300

400

500

3

6

9

12

15

The Australian Eastern Market Indicator price for wool is forecast to increase by around 6 per cent to average 1100 cents a kilogram clean in 2013–14, following a fall of 14 per cent in 2012–13. This forecast price rise reflects an expected fall in Australian wool production and an assumed depreciation of the Australian dollar. Weak US and EU demand for China’s exports of wool textiles and clothing is constraining demand from China for raw wool and therefore limiting the wool price rise. In addition, an abundant supply of fine and superfine wools in Australia continues to put downward pressure on the price premiums of these wool types, relative to medium wool types.

Australian wool auction prices, by micron

Ac/kg

EMI19 micron23 micron

300

600

900

1200

1500

1800

26 micron

29 Nov2013

5 Jul2013

22 Feb2013

12 Oct2012

1 Jun2012

3 Feb2012

23 Sep2011

13 May2011

14 Jan2011

3 Sep2010

Page 88: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

86

Sheep

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

ProductionLamb slaughter to fallFollowing a 40-year high in 2012–13, lamb slaughter is forecast to decrease by 1 per cent in 2013–14 to 20.9 million head, despite a year-on-year rise of 9 per cent over the first four months of 2013–14. The rise in slaughter over the past year has lowered breeding stocks, which is expected to result in fewer autumn lambs available for slaughter in the second half of 2013–14. Reflecting this expected decrease, lamb production is forecast to fall by 1 per cent in 2013–14 to 452 000 tonnes.

Sheep slaughter to riseSheep slaughter is forecast to rise by 9 per cent in 2013–14 to 8.9 million head, reflecting dry seasonal conditions across many regions in south-eastern Australia. Adult sheep slaughter over the first four months of 2013–14 increased year-on-year by 44 per cent to around 3.1 million head. The sheep turn-off rate has been high since late spring 2012, when farmers in New South Wales and Victoria faced decreased carrying capacity because of poor pasture growth and higher feed prices. Pasture conditions across parts of these two states remain poor, with below average rainfall in late winter and early spring.

Lower shorn wool productionShorn wool production is forecast to fall by 4 per cent in 2013–14 to around 345 000 tonnes. This reduction reflects lower average wool cut per head because of dry seasonal conditions and a decrease in the number of sheep shorn as a result of the forecast fall in the sheep flock.

Dry seasonal conditions in some wool producing areas have contributed to an increase in fine wool production. According to Australian Wool Testing Authority key test data, 46 per cent of wool tested in the first four months of 2013–14 was less than 19.5 microns, compared with 39 per cent during the same period last year.

ExportsSheep meat export earnings to riseThe value of sheep meat exports is forecast to rise by 14 per cent in 2013–14 to $1.78 billion, reflecting increased export volumes and prices.

High turn-off led to significant growth in lamb exports in the first five months of 2013–14. Lamb exports exceeded 20 000 tonnes in October, the highest monthly volume on record. Despite these record volumes, lamb availability is expected to decline in the remainder of the year. Australian lamb export volumes are forecast to decline by 1 per cent in 2013–14 to 199 000 tonnes. However, the value of lamb exports is forecast to rise by 9 per cent in 2013–14 to $1.18 billion. Strong demand and an assumed depreciation in the Australian dollar are expected to place upward pressure on lamb export prices, which fell by 11 per cent in 2012–13.

The volume of mutton exports is forecast to increase by 10 per cent in 2013–14 to 158 000 tonnes shipped weight, reflecting the forecast increase in slaughter. The value of mutton exports is forecast to rise by 25 per cent in 2013–14 to $598 million.

Page 89: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

87

Sheep

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Sheep meat exports to ChinaThe forecast growth in sheep meat exports is mainly driven by rapid export growth to China, the largest export market for Australian sheep meat in the first five months of 2013–14. Lamb exports to China rose by 36 per cent year-on-year to around 18 000 tonnes in the five months to November 2013. This was around 24 per cent greater than lamb exports to the United States (14 500 tonnes). Over the same period, the volume of mutton exported to China has more than trebled year-on-year to around 27 700 tonnes. This is more than double the volume shipped to the Middle East (12 500 tonnes), which has been Australia’s largest mutton export destination for over a decade.

Sheep meat exports to China by volume, July to November

MuttonLamb

kt2013–142012–132011–122010–11

5

10

15

20

25

30

Live sheep exportsLive sheep exports are forecast to remain at around 2 million head in 2013–14. Live sheep exports increased in the September quarter 2013 by 2 per cent year-on-year, to 452 000 head. The increased slaughter in Western Australia, South Australia and Victoria is expected to result in fewer sheep available for export in the remainder of 2013–14. With sheep export prices forecast to increase, the value of live sheep exports is forecast to rise by 11 per cent to $215 million in 2013–14.

New Zealand lamb production and exports to fall in 2013–14New Zealand is the world’s largest lamb exporter. Drought conditions in New Zealand are expected to cause a drop in lamb production in 2013–14. Beef + Lamb New Zealand forecasts a 7.7 per cent decrease in 2013–14 lamb production. This is because of prolonged drought in the North Island, which has led to a depletion in the number of breeding ewes and deterioration in their condition.

New Zealand lamb exports fell by 1.5 per cent year-on-year in the September quarter 2013, while the proportion of total lamb export volume shipped to China rose to 29 per cent, compared with 20 per cent in the corresponding period last year. New Zealand lamb exports are expected to fall in 2013–14, reflecting the expected fall in production.

Page 90: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

88

Sheep

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

New Zealand lamb exports

OtherUnited States

Middle East

kt

European Union

China

2012–13

2010–11

2008–09

2006–07

2004–05

50

100

150

200

250

300

350

Wool exports to fallStrong growth in wool shipped to major destinations including China, Malaysia and the Czech Republic resulted in a 16 per cent increase year-on-year in Australian wool exports for the September quarter 2013. The export of fine wool (19 microns and less) increased by 37 per cent year-on-year in the September quarter 2013, while the export of broader wool fell slightly.

Australian greasy wool exports by micron, September quarter

20 micron and stronger19 micron and �ner

kt greasy2013–142012–132011–12

5

10

15

20

25

30

35

40

Page 91: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

89

Sheep

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Despite the September quarter increase, total wool exports are forecast to fall by 2 per cent in 2013–14 to around 430 000 tonnes greasy, mainly reflecting the forecast decline in shorn wool production. The value of wool exports is forecast to increase by 3 per cent to around $3 billion, with higher export prices expected to offset the forecast decline in volume. Australian exports of wool to China are forecast to fall by 3 per cent in 2013–14 to 331 000 tonnes greasy, following a 12 per cent increase in 2012–13.

Changing markets for Chinese wool textiles and apparelChina, which accounts for more than three-quarters of Australia’s total wool exports, is the world’s largest producer and exporter of wool textiles and apparel. However, China’s exports of wool textiles and apparel to the United States and the European Union declined in 2012–13, contributing to a 14 per cent fall in Australian wool prices. The value of China’s exports of wool textiles and apparel to the United States fell by 14 per cent in 2012–13 to US$1.84 billion, while the value of exports to the European Union fell by around 22 per cent to US$730 million.

Despite this slowdown in exports, sales of woollen clothing fabric in China increased by 6 per cent in 2012–13, indicating that demand for wool garments in China’s domestic market is not declining. China is now a major market for finished wool products in its own right, consuming around half the wool garments it produces. According to Australian Wool Innovation Limited, the current rate of growth in domestic spending on apparel means China will overtake the United States as the world’s largest apparel market by 2017.

Also partially offsetting China’s falling exports of wool products to the United States and the European Union is increasing demand in South-East Asia. In response to increasing labour costs in China, the processing capacity of South-East Asia has grown in recent years and the region has become a major exporter of textiles and garments. As a result, the value of Chinese wool products exported to the region has risen, increasing by 13 per cent in 2012 to US$319 million, following a 47 per cent increase in 2011. South-East Asia is now the fourth largest export destination for Chinese wool products behind the United States, the European Union and Japan.

Page 92: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

90

Sheep

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Sheep outlookSheep outlookSheepoutlook% 

unit 2011–12 2012–13 s 2013–14 f% 

changeunit 2011–12 2012–13 s 2013–14 f changellSheep numbers  a million  75  74  72 –2.7p

Sheep shorn million  83  82  81 –1.2Sheep shorn million  83  82  81 1.2SlaughteringsL b ’000 18 879 21 122 20 900 1 1Slaughterings Lambs  ’000 18 879 21 122 20 900 –1.1Sheep  ’000 5 175 8 192 8 940  9.1Sheep   000 5 175 8 192 8 940  9.1Production bLamb kt 419 457 452 1 1Production  bLamb kt  419  457  452 –1.1Mutton  kt  120  183  200  9.3Wool production (greasy)– shorn kt 362 361 345 –4 4Wool production (greasy)– shorn kt  362  361  345 –4.4

h kt 49 75 75 0 0– other  c kt  49  75  75  0.0– total kt  411  435  420 –3.4 total kt  411  435  420 3.4ExportsLamb kt swt 174 201 199 1 0ExportsLamb kt swt  174  201  199 –1.0– to United States kt swt  35  37  36 –2.7Mutton kt swt  89  144  158  9.7Mutton kt swt  89  144  158  9.7Total sheep meat kt swt 263 344 357 3 8Total sheep meat  kt swt  263  344  357  3.8

l $ 1 422 1 564 1 777 13 6– value $m 1 422 1 564 1 777  13.6Live sheep d  ’000 2 562 2 000 2 000  0.0Live sheep d   000 2 562 2 000 2 000  0.0– value $m 345 194 215 10 8– value $m  345  194  215  10.8WoolWool– volume (gr. equiv.) kt  405  438  430 –1.8 volume (gr. equiv.)– to China kt 306 342 331 –3.2– to China kt  306  342  331 –3.2value e $m 3 123 2 869 2 961 3 2– value  e $m 3 123 2 869 2 961  3.2

P iPricesLambs  g Ac/kg  480  386  445  15.3Lambs  g Ac/kg  480  386  445  15.3Sheep g Ac/kg 330 187 230 23 0Sheep  g Ac/kg  330  187  230  23.0E t M k t I di t h A /k 1 203 1 035 1 100 6 3Eastern Market Indicator  h Ac/kg 1 203 1 035 1 100  6.3

a At 30 June. b Carcass weight. c Includes wool on sheepskins, fellmongered and slipe wool. d Includes animals for breeding. e Balance of payments basis. f ABARES forecast.  g Saleyard prices. h Clean equivalent. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Department of Agriculture, Canberra

a At 30 June. b Carcass weight. c Includes wool on sheepskins, fellmongered and slipe wool. d Includes animals for breeding. e Balance of payments basis. f ABARES forecast.  g Saleyard prices. h Clean equivalent. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Department of Agriculture, Canberra

a At 30 June. b Carcass weight. c Includes wool on sheepskins, fellmongered and slipe wool. d Includes animals for breeding. e Balance of payments basis. f ABARES forecast.  g Saleyard prices. h Clean equivalent. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Department of Agriculture, Canberra

a At 30 June. b Carcass weight. c Includes wool on sheepskins, fellmongered and slipe wool. d Includes animals for breeding. e Balance of payments basis. f ABARES forecast.  g Saleyard prices. h Clean equivalent. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Department of Agriculture, Canberra

a At 30 June. b Carcass weight. c Includes wool on sheepskins, fellmongered and slipe wool. d Includes animals for breeding. e Balance of payments basis. f ABARES forecast.  g Saleyard prices. h Clean equivalent. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Department of Agriculture, Canberra

a At 30 June. b Carcass weight. c Includes wool on sheepskins, fellmongered and slipe wool. d Includes animals for breeding. e Balance of payments basis. f ABARES forecast.  g Saleyard prices. h Clean equivalent. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Department of Agriculture, Canberra

a At 30 June. b Carcass weight. c Includes wool on sheepskins, fellmongered and slipe wool. d Includes animals for breeding. e Balance of payments basis. f ABARES forecast.  g Saleyard prices. h Clean equivalent. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Department of Agriculture, Canberra

Page 93: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

91ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World prices for dairy products are forecast to average higher in 2013–14. This reflects limited growth in supplies from key exporting countries and continuing firm world import demand.

World dairy product prices rose strongly in March and April 2013 largely in response to strong import demand, particularly for milk powders, and lower milk production in the main dairy exporting countries. Prices have since remained high, averaging 9 per cent to 30 per cent higher year-on-year in the first quarter of 2013–14. World dairy product prices are not expected to soften until early 2014 when increased supplies are expected to enter the world market from the European Union, New Zealand and the United States.

World dairy product prices are forecast to rise by between 6 per cent and 20 per cent in 2013–14, with milk powder prices forecast to increase the most. In 2013–14 world prices of whole milk powder are forecast to rise by around 20 per cent and of skim milk powder by 15 per cent to average US$4600 a tonne and US$4290 a tonne, respectively.

World dairy prices

US$/t

Cheese

Whole milk powderSkim milk powder

1000

2000

3000

4000

5000

6000

Butter

Oct2013

Oct2012

Oct2011

Oct2010

Oct2009

Oct2008

Oct2007

Oct2006

Oct2005

Oct2004

DairyCaitlin Murray

Page 94: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

92

Dairy

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Global milk supplies increasingGlobal milk production is forecast to increase in 2013–14. This increase largely reflects forecast lower feed grain prices and a return to favourable seasonal conditions in the main dairy exporting countries.

European UnionEU milk production is forecast to increase by 1 per cent in the 2013–14 marketing year (April to March) despite reduced production in the first quarter because of adverse seasonal conditions. This increase in production will largely be driven by forecast higher farmgate milk prices in the European Union, forecast lower feed costs and increased availability of grass and forage.

EU farmgate milk prices are averaging 13 per cent higher year-on-year for the first five months of the 2013–14 marketing year. Average farmgate milk prices in this period increased most in Spain, Latvia, the United Kingdom and Germany.

EU milk deliveries and farmgate price

Milk deliveries

Mt Euro/100kg

EU-27 farmgatemilk price (right axis)

2

4

6

8

10

12

14

6

12

18

24

30

36

42

Aug2013

Feb2013

Aug2012

Feb2012

Aug2011

Feb2011

Aug2010

Feb2010

Aug2009

Feb2009

The EU dairy herd increased slightly in 2012 to around 23.2 million head, after many years of decline. In the 2013–14 season the number of dairy cows is forecast to remain stable. Farmers in some of the large dairy producing nations are expected to increase their herds in preparation for the disbanding of the EU dairy quota system in April 2015. However, this is likely to be offset by the culling of dairy cows in inefficient dairy producing regions.

Subdued domestic demand for dairy products in the European Union in 2013–14 is expected to result in an increase in dairy products directed to export markets, including the Russian Federation, the Middle East and Asia.

Page 95: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

93

Dairy

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

United StatesAfter an estimated small increase in 2013, US milk production is forecast to rise by a further 1.5 per cent in 2014 to 93 million tonnes. This is a result of higher milk yields per cow and a moderate increase in the dairy herd. Feed grain prices are forecast to be lower in 2014. This is expected to result in an increase in the milk-to-feed price ratio and improved profitability for dairy farmers. In response, dairy farmers are expected to commence herd rebuilding and increase supplement feed with higher quality rations for higher milk yields.

Increased production in 2013 and 2014 is expected to result in a rise in dairy product exports. US butter exports in 2013 are expected to be around 40 per cent more than in 2012 at 66 000 tonnes.

New ZealandNew Zealand milk production is forecast to increase by around 5 per cent in 2013–14 (June to May). This follows a 1.6 per cent decline in production in 2012–13 because of dry seasonal conditions, particularly in the North Island. A return to average seasonal conditions and a moderate increase in the dairy herd are expected to result in higher milk production in 2013–14.

Farmgate milk prices in New Zealand are forecast to reach record highs in 2013–14. Farmgate milk prices averaged 46 per cent higher year-on-year in the first four months of the season.

New Zealand milk production, year-on-year monthly change

kt–500–400–300–200–100

1000

200300400

Aug2013

Feb2013

Aug2012

Feb2012

Aug2011

Feb2011

New Zealand exports are forecast to rise in 2013–14 supported by firm export demand, particularly from China and South-East Asia for milk powders. In 2012–13 New Zealand exported more than 3 million tonnes of skim and whole milk powder to China and South-East Asia.

Page 96: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

94

Dairy

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Latin AmericaArgentinean milk production in 2013 is estimated at around 11.7 million tonnes, similar to 2012 production. Milk production in the first half of 2013 was affected by unfavourable seasonal conditions. This decline in production flowed through to exports, which were significantly lower in the first half of 2013 than in 2012. Exports have since rebounded in line with the return of more favourable seasonal conditions in the second half of 2013.

In 2014 Argentinean milk production is forecast to rise by around 3 per cent in response to higher farmgate milk prices and lower feed grain costs. Dairy product exports are expected to grow in line with the increase in milk production.

Global import demand growingFirm import demand for dairy products in 2013–14 is expected to be supported by economic growth in Asia, the Middle East and North Africa. Firm import demand is expected to underpin increased trade in dairy products.

AsiaChina, the world’s largest importer of milk powders, is estimated to have imported more than 500 000 tonnes of whole milk powder and around 155 000 tonnes of skim milk powder in 2013. This is 16 per cent more than in 2012.

China’s demand for imported milk powder is expected to remain strong in 2014, driven by continuing consumer concerns over the safety of domestically produced dairy products.

Chinese whole milk powder production and imports

Imports

Production

Mt

f ABARES forecast.

0.4

0.8

1.2

1.6

2.0

2013f201220112010200920082007200620052004

Demand for milk powders in South-East Asia is expected to remain firm in 2014, reflecting economic growth in most South-East Asian countries. Indonesia, the largest importer of milk powders in the region, is estimated to have imported around 215 000 tonnes of skim milk powder in 2013. While Indonesia’s milk production has increased in recent years, it has been unable to meet the growth in domestic demand for dairy products.

Page 97: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

95

Dairy

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Middle East and North AfricaDairy product imports by countries in the Middle East and North Africa increased in 2013. Algeria, the largest importer in the region, increased imports of milk powders by 7 per cent to an estimated 300 000 tonnes in 2013. With little growth in milk production expected in these countries in the short term, domestic demand growth will be met through higher imports.

Russian FederationCheese imports by the Russian Federation, the world’s largest cheese importer, are estimated at around 360 000 tonnes in 2013. High feed grain costs in the Russian Federation in 2013 constrained milk production, resulting in increased demand for dairy imports. The Russian Federation has increasingly sourced cheese from countries outside the European Union. Australian cheese exports to the Russian Federation increased by 42 per cent in 2012–13 to $5.3 million.

Russian Federation cheese imports

Other

European Union

2013US$b

0.4

0.8

1.2

1.6

2.0

2012201120102009200820072006200520042003

Australian milk productionThe Australian average farmgate price for milk is forecast to increase by around 22 per cent in 2013–14 to 47.7 cents a litre, reflecting the effect of higher world dairy product prices and an assumed depreciation of the Australian dollar.

Australian milk production is forecast to decline slightly to 9.1 billion litres in 2013–14. Increased production in dairy regions in northern Victoria is likely to be offset by reduced production in western Victoria and northern New South Wales because of dry seasonal conditions. Australian milk production declined 4 per cent year-on-year in the first quarter of 2013–14, with the largest decline in western Victoria.

The national dairy cow herd is estimated to have risen slightly in 2012–13 to around 1.71 million head and is forecast to remain around this level in 2013–14. The small increase in the dairy herd in 2012–13 mostly occurred in New South Wales and Western Australia.

Page 98: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

96

Dairy

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian milk production, year-on-year monthly change

ML

–80–60–40–20

020406080

100

Sep2013

Mar2013

Sep2012

Mar2012

Sep2011

Mar2011

Sep2010

Mar2010

Sep2009

Mar2009

Australian exportsThe total value of Australian dairy exports is forecast to increase by around 24 per cent in 2013–14 to $2.8 billion, reflecting forecast higher dairy prices on world markets and an assumed depreciation of the Australian dollar.

Dairy outlookDairy outlookDairyoutlook% 

unit 2011–12 2012–13 s 2013–14 f changeunit 2011–12 2012–13 s 2013–14 f changeAustraliaAustraliaCow numbers  a  ’000 1 700 1 707 1 710  0.2Cow numbers  aMilk yields L/cow 5 577 5 389 5 339 –0.9Milk yields L/cow 5 577 5 389 5 339 0.9Production

l ilkProductionTotal milk ML 9 480 9 200 9 130 –0.8– market sales ML 2 389 2 450 2 432 –0.7 market sales ML 2 389 2 450 2 432 0.7– manufacturing ML 7 092 6 750 6 698 –0.8– manufacturing ML 7 092 6 750 6 698 –0.8Butter b kt 120 118 117 –0 8Butter  b kt  120  118  117 –0.8Cheese kt 347 338 336 0 6Cheese kt  347  338  336 –0.6Wh l ilk d k 140 109 108 0 9Whole milk powder kt  140  109  108 –0.9pSkim milk powder kt  230  224  223 –0.4Skim milk powder kt  230  224  223 0.4Farmgate milk price Ac/L 42.1 39.0 47.7  22.3Farmgate milk price Ac/L 42.1 39.0 47.7  22.3Value of exports A$m 2 292 2 229 2 766 24 1Value of exports A$m 2 292 2 229 2 766  24.1

ld iWorld pricesButter US$/t 3 883 3 727 4 100  10.0

pButter US$/t 3 883 3 727 4 100  10.0Cheese US$/t 4 258 4 150 4 400 6.0Cheese US$/t 4 258 4 150 4 400  6.0Skim milk powder US$/t 3 233 3 731 4 290 15 0Skim milk powder US$/t 3 233 3 731 4 290  15.0Wh l ilk d US$/t 3 431 3 831 4 600 20 1Whole milk powder US$/t 3 431 3 831 4 600  20.1a At 30 June. b Includes the butter equivalent of butter oil, butter concentrate, ghee and dry butterfat. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Dairy Australia

a At 30 June. b Includes the butter equivalent of butter oil, butter concentrate, ghee and dry butterfat. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Dairy Australia

a At 30 June. b Includes the butter equivalent of butter oil, butter concentrate, ghee and dry butterfat. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Dairy Australia

a At 30 June. b Includes the butter equivalent of butter oil, butter concentrate, ghee and dry butterfat. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Dairy Australia

a At 30 June. b Includes the butter equivalent of butter oil, butter concentrate, ghee and dry butterfat. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Dairy Australia

a At 30 June. b Includes the butter equivalent of butter oil, butter concentrate, ghee and dry butterfat. f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Dairy Australia

Page 99: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

97ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

High performing farmsPeter Martin

A strong and vibrant agricultural sector requires that farmers receive returns on production that help them grow and prosper. With more than 95 per cent of Australian broadacre and dairy farms being family farms, achieving reasonable returns means earning sufficient income to support the family, fund productivity improvement over the long term and provide an acceptable return on capital.

In 2011–12, 58 per cent of broadacre farms and 36 per cent of dairy farms in Australia made a loss (in terms of farm business profit) (ABARES 2013). In any year, regions and industries can face adverse conditions resulting in low farm profitability. For example, dry seasonal conditions in 2013 have greatly reduced profitability of broadacre farms in much of Queensland, parts of the Northern Territory and north-western New South Wales.

While year-to-year losses can occur because of seasonal conditions and other reasons, farmers who continue to make losses over the longer term will become unviable. The best performing farms have consistently higher profits and rates of return. Identifying the characteristics of high performing farms can assist in understanding the potential for improvement across the sector and provide insight into current and future pressures for structural adjustment.

Defining high performanceABARES farm surveys collect comprehensive financial performance information from farm businesses. This enables generation of measures that capture differing elements of farm financial performance, including profitability, change in net business worth, return on capital and disposable income earned by the farm’s operators.

In this analysis, farm businesses have been classified into performance categories, based on the rate of return (excluding capital appreciation) to all capital used in the business. Rate of return to total farm capital is a relatively complete measure of farm financial performance that values all farm inputs and is not as strongly correlated with farm size as many other financial performance measures. Adjustments have been made to reduce the effect of changes in commodity prices, seasonal conditions and other year-specific effects on farm performance. Three-year moving average rates of return have been calculated for each sample farm in the ABARES farm survey database of broadacre and dairy farms. Farms have been classified into performance groups on the basis of these averages. Farms have been classified into the top performing 25 per cent of farms by rate of return, middle performing 50 per cent and bottom performing 25 per cent.

Page 100: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

98

High performing farms

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Characteristics of high performing farmsSubstantial differences exist for each of the financial performance measures between the average financial performance of top performing farms and that of middle and bottom performing farms.

ABARES analysis indicates that the gap between top and bottom performing farms has increased over time. While the bottom performing broadacre farms struggled to generate positive farm cash incomes during the past two decades, the top 25 per cent of farms generated cash incomes exceeding $200 000 (in real terms) in 13 of the past 20 years (ABARES 2013).

Over the 20 years ending 2011–12, the top performing 25 per cent of farms recorded average rates of return to capital used (excluding capital appreciation) of 5.9 per cent a year, much higher than the average annual rate of return of 1.1 per cent a year for all broadacre farms.

Estimates for farms, by rate of return on total capital used, 2007–08 to 2011–12, all broadacre industries average per farm

Top 25% Middle 50% Bottom 25%

Size of operation

Total area operated ha 11 500 (4) 5 300 (5) 4 700 (7)

Area sown to crop ha 1 000 (2) 300 (3) 200 (6)

Beef cattle no. 600 (3) 400 (2) 100 (6)

Sheep no. 2 300 (3) 1 000 (3) 500 (6)

Financial performance of farm business

Total cash receipts $ 896 200 (3) 313 800 (2) 137 500 (4)

Total cash costs $ 605 100 (3) 248 000 (2) 152 600 (4)

Farm cash income $ 291 100 (3) 65 800 (4) –15 200 (23)

Farm business profit $ 219 800 (4) –12 400 (19) –90 900 (4)

Farm business debt and equity at 30 June

Farm business debt $ 1 045 700 (3) 408 400 (4) 211 900 (7)

Net business worth $ 4 830 400 (2) 3 713 100 (2) 1 661 700 (3)

Equity ratio % 83 (1) 90 (1) 88 (1)

Liquid assets available to farm business at 30 June

Farm management deposits $ 74 900 (6) 28 200 (9) 6 300 (21)

Other liquid assets $ 148 500 (6) 121 800 (6) 97 500 (13)

Debt servicing

Interest paid to receipts percentage % 8 (3) 9 (3) 11 (6)

Debt to receipts percentage % 123 (3) 137 (3) 169 (6)

Household income of owner–manager and partner a

Household off-farm income $ 28 200 (4) 32 700 (5) 40 300 (6)

Total net household income $ 186 400 (3) 58 700 (4) 10 600 (33)

Share of net household income earned off-farm % 15 (5) 56 (4) 100 (31)

a Owner–manager and partner’s share of net farm income (farm cash income less depreciation) plus off-farm income. Note: Figures in parentheses are standard errors expressed as a percentage of the estimate provided. Source: AAGIS

Page 101: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

99

High performing farms

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Estimates for farms, by rate of return on total capital used, 2007–08 to 2011–12, broadacre and dairy farms

Top 25% Middle 50% Bottom 25%

Contribution to industry gross value of production

Northern beef industry % 54 (4) 37 (5) 8 (21)

Southern beef industry % 54 (3) 34 (4) 12 (26)

Grains industry % 47 (2) 45 (2) 9 (4)

Sheep industry % 53 (4) 39 (3) 8 (8)

All broadacre industries % 54 (3) 38 (2) 8 (4)

Dairy industry % 37 (2) 51 (2) 12 (5)

Size of operation in sheep equivalents (average per farm)

Northern beef industry se 33 000 (3) 10 000 (3) 5 000 (14)

Southern beef industry se 8 000 (3) 3 000 (9) 2 000 (11)

Grains industry se 20 000 (2) 12 000 (2) 7 000 (6)

Sheep industry se 9 000 (4) 4 000 (4) 2 000 (8)

All broadacre industries se 19 000 (2) 8 000 (2) 4 000 (4)

Dairy industry se 8 000 (3) 6 000 (3) 4 000 (6)

Total farm cash receipts (average per farm)

Northern beef industry $ 858 000 (4) 292 000 (5) 133 000 (21)

Southern beef industry $ 375 000 (4) 123 000 (9) 86 000 (8)

Grains industry $ 1 087 000 (2) 519 000 (2) 209 000 (5)

Sheep industry $ 557 000 (4) 209 000 (3) 93 000 (8)

All broadacre industries $ 896 000 (3) 314 000 (2) 137 000 (4)

Dairy industry $ 936 000 (2) 647 000 (3) 314 000 (6)

Farm cash income (average per farm)

Northern beef industry $ 238 000 (8) 53 000 (21) –28 000 (44)

Southern beef industry $ 124 000 (5) 14 000 (16) –18 000 (36)

Grains industry $ 383 000 (4) 102 000 (5) –28 000 (54)

Sheep industry $ 208 000 (5) 46 000 (7) –1 000 (99)

All broadacre industries $ 291 000 (3) 66 000 (4) –15 000 (23)

Dairy industry $ 266 000 (4) 114 000 (7) –4 000 (99)

Farm debt business debt (average per farm)

Northern beef industry $ 1 419 000 (8) 431 000 (8) 176 000 (42)

Southern beef industry $ 323 000 (8) 136 000 (32) 135 000 (17)

Grains industry $ 1 099 000 (4) 737 000 (5) 375 000 (10)

Sheep industry $ 495 000 (7) 238 000 (7) 106 000 (19)

All broadacre industries $ 1 046 000 (3) 408 000 (4) 212 000 (7)

Dairy industry $ 936 000 (6) 733 000 (5) 390 000 (17)

Note: Figures in parentheses are standard errors expressed as a percentage of the estimate provided. Source: AAGIS; ADIS

Page 102: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

100

High performing farms

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

These high performing farms account for a large share of the total value of agricultural production. For example, they accounted for 54 per cent of the value of output from all broadacre farms. By contrast, the bottom performing 25 per cent of farms accounted for just 8 per cent.

They also account for the majority of new investment. Over the three years ending 2011–12, top performing farms accounted for 64 per cent of net capital additions on broadacre farms. By contrast, the bottom performing 25 per cent of farms accounted for just 2 per cent. Relatively high rates of new investment for high performing farms are likely to support significant productivity gains to improve farm cash incomes in real terms over the longer term, as well as increases in aggregate farm production.

High performing farms dominate land purchases and account for a high proportion of aggregate sector debt. For example, they accounted for 54 per cent of aggregate broadacre sector debt and around 58 per cent of aggregate debt in the northern beef industry (in Queensland, the Northern Territory and northern Western Australia).

Despite accounting for a high proportion of debt, high performing farms have less difficulty servicing debt than the average for the sector. For example, in the three years ending 2011–12, the proportion of farm receipts consumed to service interest payments averaged 8 per cent for high performing broadacre farms and 12 per cent for bottom performing farms.

Operators of top performing farms earn much higher household incomes and generally derive a much larger proportion of their total household income from the farm business than bottom performing farms. High performing farms are found across all farm sizes and in most regions of Australia. This suggests there is potential for improving the financial performance of many farms across Australia.

Analysis by ABARES indicates that features associated with high performing broadacre farms include:• better management capability• larger scale of operation (although some medium and a few smaller scale farms

also perform well)• higher water use efficiency• high productivity, including higher herd and flock productivity• lower enterprise and overhead costs• greater reliance on grain growing.

ReferencesABARES 2013, Australian farm survey results, 2010–11 to 2012–13, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, available at daff.gov.au/abares/publications_remote_content/publication_series/farm_survey_results.

Major financial performance indicatorsTotal cash receipts: total revenues received by the business during the financial year

Total cash costs: payments made by the business for materials and services and for permanent and casual hired labour (excluding owner manager, partner and family labour)

Farm cash income: total cash receipts – total cash costs

Farm business profit: farm cash income + change in trading stocks – depreciation – imputed labour costs

Page 103: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

101Department of Agriculture, Fisheries & Forestry Document Title Goes Here

Running Main Header Milo Pro Medium 8ptRunning Sub Header Milo Pro Light 8pt

Statistical tables

Page 104: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Figures

1 Contribution to GDP 103

2 Markets for Australian merchandise exports 103

3 Sources of Australian merchandise imports 104

4 Principal markets for Australian agricultural, forestry and fisheries exports (nominal) 105

5 Contribution to exports by sector, balance of payments basis 111

Tables

1 Indexes of prices received by farmers 108

2 Indexes of prices paid by farmers, and terms of trade 109

3 Farm costs and returns 110

4 Volume of production indexes 112

5 Industry gross value added 112

6 Employment 113

7 All banks lending to business 113

8 Rural indebtedness to financial institutions 114

9 Annual world indicator prices of selected commodities 114

10 Gross unit values of farm products 115

11 World production, consumption, stocks and trade for selected commodities 116

12 Agricultural, fisheries and forestry commodity production 118

13 Gross value of farm, fisheries and forestry production 120

14 Crop areas and livestock numbers 122

15 Average farm yields 123

16 Volume of agricultural and fisheries exports 124

17 Value of agricultural and fisheries exports (fob) 126

18 Volume of forest products exports 128

19 Value of forest products exports (fob) 129

20 Volume of forest products imports 130

21 Value of forest products imports 131

22 Volume of fisheries products exports 132

23 Value of fisheries products exports (fob) 133

24 Volume of fisheries products imports 134

25 Value of fisheries products imports 135

26 Agricultural exports to Japan (fob) 136

27 Agricultural exports to the United States (fob) 137

28 Agricultural exports to China (fob) 138

29 Value of Australian forest products trade, by selected countries 139

30 Value of Australian fisheries products trade, by selected countries 140

31 Food exports by level of transformation 141

32 Food imports by level of transformation 142

33 Total food exports, by selected destination 143

34 Total food imports, by selected source country 143

Page 105: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

103

GDP, exports

FIGURE 1 Contribution to GDP Australia, chain volume measures, reference year 2011–12

Services 74%

Mining 10%

Manufacturing 7%

Building and construction 7%

Agriculture, �shing and forestry 2%

Services 75%

Manufacturing 9%

Mining 8%

Building and construction 6%

Agriculture, �shing and forestry 2%

2012–13

$1525.5b

2002–03

$1135.0b

FIGURE 2 Markets for Australian merchandise exports in 2012–13 dollars

Japan 37% Japan 19%

China 9% China 23%

New Zealand 18% New Zealand 13%

Malaysia 2% Malaysia 4%

Taiwan 2% Taiwan 3%

Hong Kong 3% Hong Kong 1%

Indonesia 4% Indonesia 2%

Other 25% Other 35%

China 8% China 21%

Japan 16% Japan 11%

ASEAN 17% ASEAN 19%

Other Asia 13% Other Asia 15%

European Union 28 11% European Union 28 7%

Middle East 7% Middle East 10%

United States 11% United States 6%

Other 17% Other 11%

Japan 19% Japan 19%

China 8% China 32%

Korea, Rep. of 8% Korea, Rep. of 8%

United States 9% United States 4%

New Zealand 7% New Zealand 3%

India 2% India 5%

European Union 28 14% European Union 28 6%

Other 33% Other 23%

Japan 36% Japan 23%

Hong Kong 26% Hong Kong 32%

China 4% China 4%

United States 11% United States 3%

Singapore 3% Singapore 3%

Taiwan 5% Taiwan 1%

Vietnam 0% Vietnam 25%

Other 15% Other 9%

2012–132002–03

Total $151.4b $247.1b

$35.8b $38.0bAgriculture

$2.4b $1.2bFisheries

$2.7b $2.0bForestry

Page 106: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

104 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Import markets

FIGURE 3 Sources of Australian merchandise imports in 2012–13 dollars

New Zealand 19%

China 6%

Indonesia 9%

United States 9%

Malaysia 4%

Germany 5%

Finland 6%

Other 42%

New Zealand 14%

China 22%

Indonesia 8%

United States 7%

Malaysia 5%

Germany 3%

Finland 5%

Other 36%

United States 17%

Japan 12%

China 10%

Germany 6%

Malaysia 3%

Singapore 3%

New Zealand 4%

Other 45%

United States 11%

Japan 8%

China 19%

Germany 5%

Malaysia 4%

Singapore 6%

New Zealand 3%

Other 44%

China 4%

ASEAN 13%

Other Asia 5%

European Union 28 32%

New Zealand 17%

United States 14%

Other 15%

China 6%

ASEAN 18%

Other Asia 5%

European Union 28 26%

New Zealand 18%

United States 12%

Other 15%

2012–132002–03

Total $174.6b $236.7b

$8.1b $11.8bAgriculture

$5.4b $4.1b

$1.6b $1.6b

Forestry

FisheriesThailand 20%

New Zealand 16%

China 4%

Vietnam 6%

Malaysia 3%

United States 4%

Other 47%

Thailand 25%

New Zealand 13%

China 12%

Vietnam 10%

Malaysia 5%

United States 3%

Other 32%

Page 107: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

105ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Export markets

FIGURE 4 Principal markets for Australian agricultural, forestry and fisheries exports (nominal)

Quantity wheat

kt

Value wheat

$m

Quantity barley

kt

Value barley

$m

Quantity sugar

kt

Value sugar

$m

Quantity wine

ML

Value wine

$m

2012–132002–03

1000 2000 3000 4000 5000

China

Japan

United ArabEmirates

Saudi Arabia

Korea, Rep. of

Vietnam

China

Japan

United ArabEmirates

Saudi Arabia

Korea, Rep. of

Vietnam

Korea, Rep. of

Indonesia

Malaysia

Japan

New Zealand

United States

Korea, Rep. of

Indonesia

Malaysia

Japan

New Zealand

United States

50 100 150 200 250 200 400 600 1000800

Indonesia

Vietnam

Korea, Rep. of

Japan

Iran

Iraq

Indonesia

Vietnam

Korea, Rep. of

Japan

Iran

Iraq

100 200 300 400 500 600

500 1000 1500 2000 100 200 400300 500

300 600 900 1200 1500

200 400 600 800 1000 1200

United Kingdom

United States

Canada

China

Hong Kong

New Zealand

United Kingdom

United States

Canada

China

Hong Kong

New Zealand

continued...

Page 108: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

106 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Export markets

FIGURE 4 Principal markets for Australian agricultural, forestry and fisheries exports (nominal) continued

Quantity wool

kt

Value wool

$m

Quantity beef and veal

kt

Value beef and veal

$m

Quantity sheep meat

kt

Value sheep meat

$m

Quantity cheese

kt

Value cheese

$m

2012–132002–03

China

India

Italy

Czech Republic

Taiwan

Korea, Rep. of

50 100 150 200 250 300 350 500 1000 1500 2000 2500

China

India

Italy

Czech Republic

Taiwan

Korea, Rep. of

Japan

United States

Korea, Rep. of

RussianFederation

RussianFederation

Indonesia

Taiwan

Japan

United States

Korea, Rep. of

Indonesia

Taiwan

United States

China

United ArabEmirates

Saudi Arabia

Japan

EuropeanUnion 28

Japan

Korea, Rep. of

Malaysia

Singapore

Hong Kong

China

20 40 60 80 120100 100 200 300 500400

United States

China

United ArabEmirates

EuropeanUnion 28

Japan

Saudi Arabia

100 200 300 400 300 600 900 1200 1500

20 40 60 80 100

Japan

Korea, Rep. of

Malaysia

Singapore

Hong Kong

China

50 100 150 200 250 300 350

continued...

Page 109: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

107ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Export markets

FIGURE 4 Principal markets for Australian agricultural, forestry and fisheries exports (nominal) continued

Quantity paper and paperboard

kt

Value paper and paperboard

$m

Quantity woodchips

kt

Value woodchips

$m

Quantity edible �sh

kt

Value edible �sh

$m

Quantity edible crustaceans and molluscs Value edible crustaceans and molluscs

$m

2012–132002–03

1000 2000 3000 4000 5000

50 100 150 200 250 300 350

New Zealand

United States

China

South Africa

Philippines

New Zealand

United States

China

South Africa

Philippines

50 100 150 200 250

Japan

China

Taiwan

100 200 300 400 500 600 700 800

Japan

China

Thailand

Hong Kong

New Zealand

United States

Japan

China

Thailand

Hong Kong

New Zealand

United States

Hong Kong

China

Japan

Singapore

Taiwan

Malaysia

Hong Kong

China

Japan

Singapore

Taiwan

Malaysia

100 200

Japan

China

Taiwan

kt

50 100 150 200 250 300

3 6 9 12 15

2 4 6 8 10 300 400

Page 110: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

108 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Prices

TABLE 1 Indexes of prices received by farmers Australia

STATISTICS

1 Indexes of prices received by farmers Australia1IndexesofpricesreceivedbyfarmersAustralia2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f

Crops sectorCrops sector G iGrainsWinter crops

barley 145.3 108.3 135.8 131.7 168.0 144.1Winter crops

barley 145.3 108.3 135.8 131.7 168.0 144.1canola 142 2 114 2 141 1 133 1 142 3 127 4canola 142.2 114.2 141.1 133.1 142.3 127.4lupins 142 9 127 2 136 9 118 7 173 5 156 1lupins 142.9 127.2 136.9 118.7 173.5 156.1oats 158.3 116.9 143.2 147.7 172.3 144.2wheat 142.1 110.4 130.1 114.6 158.1 167.2wheat 142.1 110.4 130.1 114.6 158.1 167.2

Summer cropsgrain sorghum 121 3 115 9 125 8 111 6 141 6 139 9

Summer cropsgrain sorghum 121.3 115.9 125.8 111.6 141.6 139.9

T t l i 137 5 108 7 126 2 115 7 147 4 145 0Total grains  a 137.5 108.7 126.2 115.7 147.4 145.0

Cotton 96.7 98.4 103.6 110.8 98.0 99.6Cotton 96.7 98.4 103.6 110.8 98.0 99.6Sugar 98 3 137 8 128 0 147 1 137 0 124 2Sugar 98.3 137.8 128.0 147.1 137.0 124.2H 219 0 181 5 151 1 128 4 136 1 149 7Hay 219.0 181.5 151.1 128.4 136.1 149.7Fruit 148.2 146.6 181.8 181.4 156.5 160.1Vegetables 152.9 150.3 167.3 161.3 172.8 176.7Vegetables 152.9 150.3 167.3 161.3 172.8 176.7Total crops sector 120.2 108.8 122.3 118.2 130.2 129.6Total crops sector 120.2 108.8 122.3 118.2 130.2 129.6

Li t k tLivestock sectorLivestock for slaughter

cattle 164.6 160.0 172.6 173.3 163.3 168.0ivestock for slaughter  cattle 164.6 160.0 172.6 173.3 163.3 168.0

lambs b 204 3 218 7 255 4 250 8 179 4 219 0  lambs  b 204.3 218.7 255.4 250.8 179.4 219.0sheep 216 8 343 3 438 0 390 3 196 3 256 5  sheep 216.8 343.3 438.0 390.3 196.3 256.5li h f t 213 4 248 4 304 6 343 7 247 6 274 2  live sheep for export 213.4 248.4 304.6 343.7 247.6 274.2p p

  pigs 153.5 147.1 135.7 134.5 132.5 141.8  pigs 153.5 147.1 135.7 134.5 132.5 141.8poultry 120.0 114.1 109.8 112.6 118.1 118.9  poultry 120.0 114.1 109.8 112.6 118.1 118.9total 163 0 163 8 175 5 176 1 158 9 168 6  total   163.0 163.8 175.5 176.1 158.9 168.6

Livestock productsl 109 2 116 0 158 4 169 2 144 4 154 0

Livestock products  wool 109.2 116.0 158.4 169.2 144.4 154.0  milk 142.3 125.2 144.8 140.9 134.3 159.8  milk  eggs 108.6 105.5 104.2 104.1 107.4 108.5  eggs 108.6 105.5 104.2 104.1 107.4 108.5

total 127 6 120 0 144 6 146 0 135 0 151 7  total   127.6 120.0 144.6 146.0 135.0 151.7Store and breeding stock 161 9 168 3 194 0 199 5 173 2 179 7Store and breeding stock 161.9 168.3 194.0 199.5 173.2 179.7T l li k 147 6 145 7 162 8 164 0 148 8 160 7Total livestock sector 147.6 145.7 162.8 164.0 148.8 160.7

Total prices received 131 8 124 7 139 7 137 7 138 8 143 4Total prices received 131.8 124.7 139.7 137.7 138.8 143.4

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

a Total for the group includes commodities not separately listed. b Lamb saleyard indicator weight 18–22 kg.f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Indexes for most individual commodities are based on annual gross unit value of production. Prices used in these calculations exclude GST.Source: ABARES

Page 111: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

109ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Prices

TABLE 2 Indexes of prices paid by farmers, and terms of trade Australia

STATISTICS

2 Indexes of prices paid by farmers and terms of trade Australia2Indexesofpricespaidbyfarmers,andtermsoftradeAustralia2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f

F ’ f d 88 5 88 6 96 4 93 5 95 8 98 9Farmers’ terms of trade  a 88.5 88.6 96.4 93.5 95.8 98.9

Materials and servicesMaterials and servicesSeed fodder and livestock

f dd d f d t ff 168 0 145 8 121 0 115 5 127 0 124 7Seed, fodder and livestock

fodder and feedstuffs 168.0 145.8 121.0 115.5 127.0 124.7seed, seedlings and plants 120.7 109.4 120.0 116.4 128.0 128.5seed, seedlings and plants 0 09 0 0 6 8 0 8 5store and breeding stock 161.9 168.3 194.0 199.5 173.2 179.7store and breeding stock 161.9 168.3 194.0 199.5 173.2 179.7total 161 0 147 0 137 8 135 1 137 9 137 8total 161.0 147.0 137.8 135.1 137.9 137.8

Chemicals 136 7 116 2 110 4 112 6 110 3 109 7Chemicals 136.7 116.2 110.4 112.6 110.3 109.7El i i 121 5 142 1 158 9 176 8 180 8 185 0Electricity 121.5 142.1 158.9 176.8 180.8 185.0yFertiliser 239.6 156.0 157.3 165.5 157.9 148.4Fertiliser 239.6 156.0 157.3 165.5 157.9 148.4Fuel and lubricants 211.0 191.7 211.3 228.2 209.9 217.3Fuel and lubricants 211.0 191.7 211.3 228.2 209.9 217.3Total 164 0 146 4 146 1 149 3 148 9 149 6Total 164.0 146.4 146.1 149.3 148.9 149.6

bLabour 142.6 147.3 151.9 155.7 159.3 163.0

Marketing 137 2 134 0 144 8 154 1 151 1 157 3Marketing 137.2 134.0 144.8 154.1 151.1 157.3

O h dOverheadsInsurance 155.6 167.0 173.7 185.8 190.0 194.4Insurance 155.6 167.0 173.7 185.8 190.0 194.4Interest paid 116.8 111.2 122.3 114.9 98.2 87.1Interest paid 116.8 111.2 122.3 114.9 98.2 87.1Rates and taxes 141 6 144 9 149 4 153 0 156 4 160 1Rates and taxes 141.6 144.9 149.4 153.0 156.4 160.1Other overheads 137 2 140 6 144 9 148 4 151 8 155 3Other overheads 137.2 140.6 144.9 148.4 151.8 155.3

lTotal 126.6 124.3 133.7 129.9 118.9 111.8

Capital items 141 2 144 8 149 3 153 2 157 0 161 0Capital items 141.2 144.8 149.3 153.2 157.0 161.0

l i idTotal prices paid 148.9 140.8 144.8 147.2 144.9 144.9p pExcluding capital items 149 9 140 4 144 4 146 6 143 7 143 3Excluding capital items 149.9 140.4 144.4 146.6 143.7 143.3E l di it l d h d 156 7 144 9 147 1 151 3 151 1 153 1Excluding capital and overheads 156.7 144.9 147.1 151.3 151.1 153.1E l di d f dd dExcluding seed, fodder and 

store and breeding stock 146.4 139.4 146.2 149.7 146.3 146.4g ,

store and breeding stock 146.4 139.4 146.2 149.7 146.3 146.4

a Ratio of index of prices received by farmers and index of prices paid by farmers.  f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Ratio of index of prices received by farmers and index of prices paid by farmers.  f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Ratio of index of prices received by farmers and index of prices paid by farmers.  f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Ratio of index of prices received by farmers and index of prices paid by farmers.  f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Ratio of index of prices received by farmers and index of prices paid by farmers.  f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Ratio of index of prices received by farmers and index of prices paid by farmers.  f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Ratio of index of prices received by farmers and index of prices paid by farmers.  f ABARES forecast.Notes: The indexes for commodity groups are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

Page 112: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

110 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Costs and returns

TABLE 3 Farm costs and returns Australia

STATISTICS

3 Farm costs and returns Australia3FarmcostsandreturnsAustraliait 2008 09 2009 10 2010 11 2011 12 2012 13 2013 14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f

CCosts Materials and services

chemicals $m 1 792 1 496 1 435 1 461 1 422 1 414Materials and services

chemicals $m 1 792 1 496 1 435 1 461 1 422 1 414fertiliser $m 3 381 2 145 2 217 2 332 2 213 2 070fertiliser $m 3 381 2 145 2 217 2 332 2 213 2 070fuel and lubricants $m 2 243 1 966 2 230 2 397 2 184 2 232fuel and lubricants $m 2 243 1 966 2 230 2 397 2 184 2 232

k i $marketing $m 3 733 3 814 3 841 4 009 3 756 4 064grepairs and maintenance $m 3 080 3 004 3 702 3 929 4 054 4 462repairs and maintenance $m 3 080 3 004 3 702 3 929 4 054 4 462seed and fodder $m 5 263 4 543 4 202 4 094 4 589 4 559seed and fodder $m 5 263 4 543 4 202 4 094 4 589 4 559other $m 3 829 3 968 4 289 4 432 4 495 4 650other $m 3 829 3 968 4 289 4 432 4 495 4 650total $m 23 320 20 935 21 916 22 656 22 715 23 452total $m 23 320 20 935 21 916 22 656 22 715 23 452

L b $ 3 827 3 784 4 120 4 245 4 326 4 367Labour $m 3 827 3 784 4 120 4 245 4 326 4 367Overheads

interest paid $m 4 331 4 455 5 023 4 836 4 341 4 042interest paid $m 4 331 4 455 5 023 4 836 4 341 4 042rent and third party insurance $m 477 494 513 525 537 550rent and third party insurance $m  477  494  513  525  537  550

Total $m 8 634 8 733 9 655 9 607 9 204 8 958Total $m 8 634 8 733 9 655 9 607 9 204 8 958

Total cash costs $m 31 955 29 668 31 571 32 262 31 919 32 410Total cash costs $m 31 955 29 668 31 571 32 262 31 919 32 410Depreciation a $m 4 676 4 792 4 944 5 072 5 199 5 331Depreciation  a $m 4 676 4 792 4 944 5 072 5 199 5 331Total farm costs $m 36 631 34 460 36 515 37 334 37 118 37 741Total farm costs $m 36 631 34 460 36 515 37 334 37 118 37 741

Returns Gross value of farm production $m 41 929 39 666 46 981 48 049 47 892 50 896Returns Gross value of farm production $m 41 929 39 666 46 981 48 049 47 892 50 896

N d d iNet returns and production Net value of farm production b $m 5 298 5 205 10 466 10 715 10 774 13 155

pNet value of farm production  b $m 5 298 5 205 10 466 10 715 10 774 13 155Real net value of farm production c $m 5 977 5 739 11 192 11 200 11 011 13 155Real net value of farm production  c $m 5 977 5 739 11 192 11 200 11 011 13 155N t f h i d $ 5 865 9 997 15 410 15 787 15 973 18 486Net farm cash income  d $m 5 865 9 997 15 410 15 787 15 973 18 486Real net farm cash income  c $m 6 617 11 023 16 478 16 501 16 325 18 486Real net farm cash income  c $

a Based on estimated movements in capital expenditure and prices of capital inputs. b Gross value of farm production less total farm costs. c In 2013–14 Australian dollars. d Gross farm cash income less total cash costs. f ABARES forecast.Note: Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Based on estimated movements in capital expenditure and prices of capital inputs. b Gross value of farm production less total farm costs. c In 2013–14 Australian dollars. d Gross farm cash income less total cash costs. f ABARES forecast.Note: Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Based on estimated movements in capital expenditure and prices of capital inputs. b Gross value of farm production less total farm costs. c In 2013–14 Australian dollars. d Gross farm cash income less total cash costs. f ABARES forecast.Note: Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Based on estimated movements in capital expenditure and prices of capital inputs. b Gross value of farm production less total farm costs. c In 2013–14 Australian dollars. d Gross farm cash income less total cash costs. f ABARES forecast.Note: Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Based on estimated movements in capital expenditure and prices of capital inputs. b Gross value of farm production less total farm costs. c In 2013–14 Australian dollars. d Gross farm cash income less total cash costs. f ABARES forecast.Note: Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

a Based on estimated movements in capital expenditure and prices of capital inputs. b Gross value of farm production less total farm costs. c In 2013–14 Australian dollars. d Gross farm cash income less total cash costs. f ABARES forecast.Note: Prices used in these calculations exclude GST.Sources: ABARES (compiled from various market sources); Australian Bureau of Statistics

Page 113: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

111ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Exports

FIGURE 5 Contribution to exports by sector, balance of payments basis Australia

2010–11

2011–12

2008–09

2009–10

Othermerchandise

17%

Rural a15%

Mineralresources

68%

Othermerchandise

15%

Rural a14%

Mineralresources

71%

Mineralresources

71%

Rural a15%

Othermerchandise

14%

Services16%

Rural a12%

Othermerchandise

12%

Mineralresources60%

Services 17%

Rural a12%

Othermerchandise

13%

Mineralresources58%

Services20%

Rural a12%

Othermerchandise

15%

Mineralresources53%

Services18%

Rural a12%

Othermerchandise

14%

Mineralresources56%

Othermerchandise

18%

Rural a15%

Mineralresources

67%

Proportion ofmerchandise exports

Proportion of exportsof goods and services

a ABARES rural balance of payments adjusted to include farm, �sheries and forestry products classi�ed as other merchandise by ABS.Sources: ABARES; Australian Bureau of Statistics

2012–13

Mineralresources

69%

Rural a16%

Othermerchandise

15%

Services17%

Rural a14%

Othermerchandise

12%

Mineralresources57%

Page 114: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

112 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Sectors

TABLE 5 Industry gross value added a, b Australia

STATISTICS

5 d l dd d5Industrygrossvalueaddeda,bAustralia5Industrygrossvalueaddeda,bAustraliaunit 2007–08 2008–09 2009–10 2010–11 2011–12 2012–13unit 2007 08 2008 09 2009 10 2010 11 2011 12 2012 13

Agriculture, forestry and fishingagriculture $m 23 328 27 914 27 640 28 847 29 047 27 917

Agriculture, forestry and fishing    agriculture $m 23 328 27 914 27 640 28 847 29 047 27 917f t d fi hi $ 4 248 4 555 4 534 4 547 4 678 4 301    forestry and fishing $m 4 248 4 555 4 534 4 547 4 678 4 301y g

    total $m 27 635 32 485 32 191 33 392 33 724 32 218    total $

Mining $m 110 115 113 591 122 411 124 849 134 120 149 170Mining $m 110 115 113 591 122 411 124 849 134 120 149 170Manufacturingf d b d l h l $

Manufacturing    food, beverage and alcohol $m 24 369 23 536 24 273 24 276 24 482 24 382, g    textile, clothing, footwear    textile, clothing, footwear

and leather $m 7 859 7 134 5 834 5 628 5 391 5 251       and leather $m 7 859 7 134 5 834 5 628 5 391 5 251wood and paper products $m 7 728 7 109 7 291 6 864 6 299 6 476    wood and paper products $m 7 728 7 109 7 291 6 864 6 299 6 476i ti bli hi    printing, publishing

       and recorded media $m 5 565 4 645 4 274 4 267 3 812 4 158$    petroleum, coal, chemical products $m 20 376 18 269 18 973 18 979 19 481 19 231    petroleum, coal, chemical products $m 20 376 18 269 18 973 18 979 19 481 19 231non‐metallic mineral products $m 6 158 6 154 6 058 5 953 5 587 5 507    non‐metallic mineral products $m 6 158 6 154 6 058 5 953 5 587 5 507metal products $m 18 456 18 165 17 388 18 181 18 185 16 947    metal products $m 18 456 18 165 17 388 18 181 18 185 16 947ma hiner and eq ipment $ 20 791 19 933 21 183 20 760 21 655 21 760    machinery and equipment $m 20 791 19 933 21 183 20 760 21 655 21 760

l $    total $m 110 423 104 605 105 058 104 885 104 892 103 713Building and construction $m 96 553 100 375 100 889 103 663 114 785 115 390Building and construction $m 96 553 100 375 100 889 103 663 114 785 115 390Electricity, gas and water supply $m 35 156 36 604 36 970 37 985 38 008 37 640Electricity, gas and water supply $m 35 156 36 604 36 970 37 985 38 008 37 640Taxes less subsidies on products $m 90 718 89 814 89 365 91 686 93 426 94 202Taxes less subsidies on products $m 90 718 89 814 89 365 91 686 93 426 94 202St ti ti l di $ 0 0 0 0 1 1 125Statistical discrepancy $m  0  0  0  0  1 1 125

Gross domestic product $m 1 352 242 1 375 809 1 402 813 1 434 227 1 486 072 1 525 494Gross domestic product $m 1 352 242 1 375 809 1 402 813 1 434 227 1 486 072 1 525 494

a Chain volume measures, reference year is 2011–12. b ANZSIC 2006. Zero is used to denote nil or less than $0.5 million.Source: Australian Bureau of Statistics, Australian National Accounts: National Income, Expenditure and Product, cat. no. 5206.0, Canberra

a Chain volume measures, reference year is 2011–12. b ANZSIC 2006. Zero is used to denote nil or less than $0.5 million.Source: Australian Bureau of Statistics, Australian National Accounts: National Income, Expenditure and Product, cat. no. 5206.0, Canberra

a Chain volume measures, reference year is 2011–12. b ANZSIC 2006. Zero is used to denote nil or less than $0.5 million.Source: Australian Bureau of Statistics, Australian National Accounts: National Income, Expenditure and Product, cat. no. 5206.0, Canberra

a Chain volume measures, reference year is 2011–12. b ANZSIC 2006. Zero is used to denote nil or less than $0.5 million.Source: Australian Bureau of Statistics, Australian National Accounts: National Income, Expenditure and Product, cat. no. 5206.0, Canberra

a Chain volume measures, reference year is 2011–12. b ANZSIC 2006. Zero is used to denote nil or less than $0.5 million.Source: Australian Bureau of Statistics, Australian National Accounts: National Income, Expenditure and Product, cat. no. 5206.0, Canberra

TABLE 4 Volume of production indexes Australia

STATISTICS

4 Volume of production indexes Australia4VolumeofproductionindexesAustraliaunit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

Farmd l d

FarmGrains and oilseeds index 116.1 116.6 139.9 158.7 136.5 146.5Total crops index 113.2 114.4 126.2 138.2 129.3 134.3Total crops index 113.2 114.4 126.2 138.2 129.3 134.3

Livestock slaughterings index 111 5 109 4 110 5 109 6 115 5 119 2Livestock slaughterings index 111.5 109.4 110.5 109.6 115.5 119.2T l li k i dTotal livestock index 100.6 98.7 100.6 100.5 104.5 106.2Total farm sector index 107.9 107.5 114.2 119.9 117.5 120.9Total farm sector index 107.9 107.5 114.2 119.9 117.5 120.9

F td d

Forestry  aHardwood index 120.8 107.8 112.1 94.2 80.8 95.8Softwood index 117.5 127.4 132.2 123.8 119.0 127.9Softwood index 117.5 127.4 132.2 123.8 119.0 127.9Total forestry index 119 5 118 5 123 1 110 1 101 2 113 0Total forestry index 119.5 118.5 123.1 110.1 101.2 113.0a Volume of logs harvested excluding firewood. f ABARES forecast. s ABARES estimate.Note: ABARE revised the method for calculating production indexes in October 1999. The indexes for the different groups of commodities are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Sources: ABARES; Australian Bureau of Statistics

a Volume of logs harvested excluding firewood. f ABARES forecast. s ABARES estimate.Note: ABARE revised the method for calculating production indexes in October 1999. The indexes for the different groups of commodities are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Sources: ABARES; Australian Bureau of Statistics

a Volume of logs harvested excluding firewood. f ABARES forecast. s ABARES estimate.Note: ABARE revised the method for calculating production indexes in October 1999. The indexes for the different groups of commodities are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Sources: ABARES; Australian Bureau of Statistics

a Volume of logs harvested excluding firewood. f ABARES forecast. s ABARES estimate.Note: ABARE revised the method for calculating production indexes in October 1999. The indexes for the different groups of commodities are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Sources: ABARES; Australian Bureau of Statistics

a Volume of logs harvested excluding firewood. f ABARES forecast. s ABARES estimate.Note: ABARE revised the method for calculating production indexes in October 1999. The indexes for the different groups of commodities are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Sources: ABARES; Australian Bureau of Statistics

a Volume of logs harvested excluding firewood. f ABARES forecast. s ABARES estimate.Note: ABARE revised the method for calculating production indexes in October 1999. The indexes for the different groups of commodities are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Sources: ABARES; Australian Bureau of Statistics

a Volume of logs harvested excluding firewood. f ABARES forecast. s ABARES estimate.Note: ABARE revised the method for calculating production indexes in October 1999. The indexes for the different groups of commodities are calculated on a chained weight basis using Fisher’s ideal index with a reference year of 1997–98 = 100. Sources: ABARES; Australian Bureau of Statistics

Page 115: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

113ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Employment, banks

TABLE 6 Employment a, b Australia

STATISTICS

6 Employment Australia a b Australia6 Employment Australia  a, b Australia 2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

’000 ’000 ’000 ’000 ’000 ’000l f d f hAgriculture, forestry and fishing

agriculture 303 322 324 305 289 278g , y gagriculture  303  322  324  305  289  278forestry and logging 8 8 7 6 8 7forestry and logging  8  8  7  6  8  7

i l fi hi 14 9 11 12 11 10commercial fishing  c  14  9  11  12  11  10support services  30  24  26  27  27  27support servicestotal  355  363  369  350  335  321total  355  363  369  350  335  321

Mining 146 170 173 204 249 266Mining  146  170  173  204  249  266Manufacturing  

food beverages and tobacco 230 227 228 228 227 225Manufacturing  

food, beverages and tobacco  230  227  228  228  227  225textiles clothing footweartextiles, clothing, footwear

d l th 50 48 46 44 39 40   and leather  50  48  46  44  39  40wood and paper product  70  68  64  56  55  54wood and paper productprinting, publishingprinting, publishingand recorded media 54 51 52 55 42 48   and recorded media  54  51  52  55  42  48

petroleum coalpetroleum, coald h i l d t 98 90 88 84 88 90   and chemical product  98  90  88  84  88  90p

non‐metallic mineral product  42  40  37  37  38  35non metallic mineral productmetal product  159  157  146  147  146  131metal product  159  157  146  147  146  131other manufacturing 360 348 343 334 319 331other manufacturing  360  348  343  334  319  331total 1 063 1 029 1 004 986 955 954total 1 063 1 029 1 004  986  955  954

Oth i d t i 9 144 9 338 9 459 9 750 9 881 10 022Other industries 9 144 9 338 9 459 9 750 9 881 10 022

Total 10 708 10 899 11 003 11 290 11 419 11 563Total  10 708 10 899 11 003 11 290 11 419 11 563

a Average employment over four quarters. b ANZSIC 2006. Caution should be used when using employment statistics at the ANZSIC subdivision and group levels due to estimates that may be subject to sampling variability and standard errors too high for most practical purposes. c Includes aquaculture, fishing, hunting and trapping.Source: Australian Bureau of Statistics, Labour Force, Australia, cat. no. 6291.0.55.003, Canberra

a Average employment over four quarters. b ANZSIC 2006. Caution should be used when using employment statistics at the ANZSIC subdivision and group levels due to estimates that may be subject to sampling variability and standard errors too high for most practical purposes. c Includes aquaculture, fishing, hunting and trapping.Source: Australian Bureau of Statistics, Labour Force, Australia, cat. no. 6291.0.55.003, Canberra

a Average employment over four quarters. b ANZSIC 2006. Caution should be used when using employment statistics at the ANZSIC subdivision and group levels due to estimates that may be subject to sampling variability and standard errors too high for most practical purposes. c Includes aquaculture, fishing, hunting and trapping.Source: Australian Bureau of Statistics, Labour Force, Australia, cat. no. 6291.0.55.003, Canberra

a Average employment over four quarters. b ANZSIC 2006. Caution should be used when using employment statistics at the ANZSIC subdivision and group levels due to estimates that may be subject to sampling variability and standard errors too high for most practical purposes. c Includes aquaculture, fishing, hunting and trapping.Source: Australian Bureau of Statistics, Labour Force, Australia, cat. no. 6291.0.55.003, Canberra

a Average employment over four quarters. b ANZSIC 2006. Caution should be used when using employment statistics at the ANZSIC subdivision and group levels due to estimates that may be subject to sampling variability and standard errors too high for most practical purposes. c Includes aquaculture, fishing, hunting and trapping.Source: Australian Bureau of Statistics, Labour Force, Australia, cat. no. 6291.0.55.003, Canberra

a Average employment over four quarters. b ANZSIC 2006. Caution should be used when using employment statistics at the ANZSIC subdivision and group levels due to estimates that may be subject to sampling variability and standard errors too high for most practical purposes. c Includes aquaculture, fishing, hunting and trapping.Source: Australian Bureau of Statistics, Labour Force, Australia, cat. no. 6291.0.55.003, Canberra

a Average employment over four quarters. b ANZSIC 2006. Caution should be used when using employment statistics at the ANZSIC subdivision and group levels due to estimates that may be subject to sampling variability and standard errors too high for most practical purposes. c Includes aquaculture, fishing, hunting and trapping.Source: Australian Bureau of Statistics, Labour Force, Australia, cat. no. 6291.0.55.003, Canberra

TABLE 7 All banks lending to business a Australia

2010–11 2011–12 2012–132010 11Sep Dec Mar Jun Sep Dec Mar Jun

2011 12 2012 13Sep   Dec Mar   Jun   Sep   Dec   Mar   Jun  $b $b $b $b $b $b $b $b$b $b $b $b $b $b $b $b

A i l fAgriculture, forestry    and fishing 60.3 60.1 60.4 62.4 60.5 59.2 58.6 60.7g , y

   and fishing 60.3 60.1 60.4 62.4 60.5 59.2 58.6 60.7Mining 13 5 14 3 15 3 17 0 18 9 18 2 18 9 21 0Mining 13.5 14.3 15.3 17.0 18.9 18.2 18.9 21.0Manufacturing 41 0 40 8 43 7 42 5 41 0 39 8 39 7 39 6Manufacturing   41.0 40.8 43.7 42.5 41.0 39.8 39.7 39.6C t ti 29 3 28 8 29 2 30 3 29 1 27 8 28 0 27 5Construction 29.3 28.8 29.2 30.3 29.1 27.8 28.0 27.5Wholesale and retail trade,transport and storage 95.4 97.3 99.5 101.7 100.6 103.2 103.0 103.0

Wholesale and retail trade,   transport and storage 95.4 97.3 99.5 101.7 100.6 103.2 103.0 103.0Finance and insurance 93 4 96 5 99 2 100 8 102 7 102 9 104 1 107 2Finance and insurance 93.4 96.5 99.2 100.8 102.7 102.9 104.1 107.2Oth 315 4 320 6 321 6 329 3 342 6 342 6 345 2 351 3Other 315.4 320.6 321.6 329.3 342.6 342.6 345.2 351.3

Total 648.4 658.4 668.9 683.9 695.5 693.8 697.5 710.4Total 648.4 658.4 668.9 683.9 695.5 693.8 697.5 710.4

a Includes variable and fixed interest rate loans outstanding plus bank bills outstanding.Source: Reserve Bank of Australia, Bank Lending to Business – Selected Statistics, Bulletin Statistical Table D8a Includes variable and fixed interest rate loans outstanding plus bank bills outstanding.Source: Reserve Bank of Australia, Bank Lending to Business – Selected Statistics, Bulletin Statistical Table D8a Includes variable and fixed interest rate loans outstanding plus bank bills outstanding.Source: Reserve Bank of Australia, Bank Lending to Business – Selected Statistics, Bulletin Statistical Table D8a Includes variable and fixed interest rate loans outstanding plus bank bills outstanding.Source: Reserve Bank of Australia, Bank Lending to Business – Selected Statistics, Bulletin Statistical Table D8a Includes variable and fixed interest rate loans outstanding plus bank bills outstanding.Source: Reserve Bank of Australia, Bank Lending to Business – Selected Statistics, Bulletin Statistical Table D8

Page 116: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

114 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Farm debt, world prices

TABLE 8 Rural indebtedness to financial institutions a Australia

STATISTICS

8 Rural indebtedness to financial institutions Australia8RuralindebtednesstofinancialinstitutionsAustralia2007–08 2008–09 2009–10 2010–11 2011–12 2012–132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mR l d btRural debtAll banks  a 53 743 57 384 58 097 60 184 59 749 60 657All banks  aOther government agencies b 1 409 1 615 1 811 1 871 2 076 2 236Other government agencies  b 1 409 1 615 1 811 1 871 2 076 2 236Pastoral and other

fi i 5 126 4 462 2 029 2 010 1 801 1 410Pastoral and other 

finance companies 5 126 4 462 2 029 2 010 1 801 1 410Large finance institutional debt  c 60 278 63 461 61 937 64 065 63 626 64 303Large finance institutional debt  cDepositsF d iDepositsFarm management deposits  2 879  2 843  2 784  3 216  3 532  3 721g pa Derived from all banks lending to agriculture, fishing and forestry. b Includes the government agency business of state banks and advances made under War Service Land Settlement. Before 1996 includes loans from the Queensland Industry Development Corporation. From 1996 these loans are included in bank lending. c Sum of the above. Sources: ABARES; Department of Agriculture; Reserve Bank of Australia, Estimated Rural Debt to Specified Lenders, Bulletin Statistical Table D9

a Derived from all banks lending to agriculture, fishing and forestry. b Includes the government agency business of state banks and advances made under War Service Land Settlement. Before 1996 includes loans from the Queensland Industry Development Corporation. From 1996 these loans are included in bank lending. c Sum of the above. Sources: ABARES; Department of Agriculture; Reserve Bank of Australia, Estimated Rural Debt to Specified Lenders, Bulletin Statistical Table D9

a Derived from all banks lending to agriculture, fishing and forestry. b Includes the government agency business of state banks and advances made under War Service Land Settlement. Before 1996 includes loans from the Queensland Industry Development Corporation. From 1996 these loans are included in bank lending. c Sum of the above. Sources: ABARES; Department of Agriculture; Reserve Bank of Australia, Estimated Rural Debt to Specified Lenders, Bulletin Statistical Table D9

a Derived from all banks lending to agriculture, fishing and forestry. b Includes the government agency business of state banks and advances made under War Service Land Settlement. Before 1996 includes loans from the Queensland Industry Development Corporation. From 1996 these loans are included in bank lending. c Sum of the above. Sources: ABARES; Department of Agriculture; Reserve Bank of Australia, Estimated Rural Debt to Specified Lenders, Bulletin Statistical Table D9

a Derived from all banks lending to agriculture, fishing and forestry. b Includes the government agency business of state banks and advances made under War Service Land Settlement. Before 1996 includes loans from the Queensland Industry Development Corporation. From 1996 these loans are included in bank lending. c Sum of the above. Sources: ABARES; Department of Agriculture; Reserve Bank of Australia, Estimated Rural Debt to Specified Lenders, Bulletin Statistical Table D9

a Derived from all banks lending to agriculture, fishing and forestry. b Includes the government agency business of state banks and advances made under War Service Land Settlement. Before 1996 includes loans from the Queensland Industry Development Corporation. From 1996 these loans are included in bank lending. c Sum of the above. Sources: ABARES; Department of Agriculture; Reserve Bank of Australia, Estimated Rural Debt to Specified Lenders, Bulletin Statistical Table D9

a Derived from all banks lending to agriculture, fishing and forestry. b Includes the government agency business of state banks and advances made under War Service Land Settlement. Before 1996 includes loans from the Queensland Industry Development Corporation. From 1996 these loans are included in bank lending. c Sum of the above. Sources: ABARES; Department of Agriculture; Reserve Bank of Australia, Estimated Rural Debt to Specified Lenders, Bulletin Statistical Table D9

TABLE 9 Annual world indicator prices of selected commodities

STATISTICS

9 Annual world indicator prices of selected commodities9Annualworldindicatorpricesofselectedcommoditiesunit 2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f

WorldWorldCCropsWheat a US$/t  271  209  317  299  348  315

pWheat  a US$/t  271  209  317  299  348  315Corn b US$/t 190 160 255 281 312 220Corn  b US$/t  190  160  255  281  312  220Rice c US$/t 609 557 518 590 565 456Rice  c US$/t  609  557  518  590  565  456S b d US$/t 422 395 493 506 597 510Soybeans  d US$/t  422  395  493  506  597  510Cotton  e USc/lb  61.2  77.5  164.3  100.1  87.9  86.0Cotton  e /Sugar g USc/lb  14.9  20.3  26.5  22.7  18.0  17.0Sugar  g USc/lb  14.9  20.3  26.5  22.7  18.0  17.0

Li t k d tLivestock productsBeef  h USc/kg  307  319  391  433  439  445Beef  h USc/kg  307  319  391  433  439  445Wool i Ac/kg  794  872 1 132 1 203 1 035 1 100Wool  i Ac/kg  794  872 1 132 1 203 1 035 1 100Butter j US$/t 2 485 3 477 4 683 3 883 3 727 4 100Butter  j US$/t 2 485 3 477 4 683 3 883 3 727 4 100Ch j US$/t 3 281 3 748 4 221 4 258 4 150 4 400Cheese  j US$/t 3 281 3 748 4 221 4 258 4 150 4 400Skim milk powder  j US$/t 2 333 2 948 3 392 3 233 3 731 4 290Skim milk powder  j US$/t 2 333 2 948 3 392 3 233 3 731 4 290

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

a US no. 2 hard red winter wheat, fob Gulf. b US no. 2 corn, fob Gulf. c USDA nominal quote for Thai white rice, 100 per cent, Grade B, fob, Bangkok (August–July basis). d US fob Gulf. e Cotlook ‘A’ index. f ABARES forecast. g Nearby futures price (October–September basis), Intercontinental Exchange, New York no. 11 contract. h US cif price. i Australian Wool Exchange eastern market indicator. j Average of traded prices (excluding subsidised sales).Sources: ABARES; Australian Bureau of Statistics; Australian Wool Exchange; Cotlook Ltd; Dairy Australia; Food and Agriculture Organization; General Agreement on Tariffs and Trade; Intercontinental Exchange; ISTA Mielke and Co; Meat & Livestock Australia;  New York Board of Trade; Reuters Ltd; United States Department of Agriculture 

Page 117: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

115ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Gross unit values

TABLE 10 Gross unit values of farm products a

STATISTICS

10 Gross unit values of farm products a10Grossunitvaluesoffarmproductsaunit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

C bCrops bpGrains and oilseedsGrains and oilseedsWinter crops

barley $/t 231 172 216 210 268 230Winter crops

barley $/t  231  172  216  210  268  230canola $/t 548 440 544 513 549 491canola $/t  548  440  544  513  549  491fi ld $/ 345 241 266 295 406 365field peas $/t  345  241  266  295  406  365plupins $/t  280  269  268  232  340  306lupins $/t  280  269  268  232  340  306oats $/t  216  160  196  202  235  197oats $/t  216  160  196  202  235  197triticale $/t 257 220 184 176 244 209triticale $/t  257  220  184  176  244  209wheat $/t 281 218 257 227 313 331wheat $/t  281  218  257  227  313  331

SSummer cropscorn (maize) $/t  283  268  259  251  304  299corn (maize) $/rice $/t  566  457  240  270  276  281rice $/t  566  457  240  270  276  281grain sorghum $/t 205 196 213 189 240 237grain sorghum $/t  205  196  213  189  240  237so beans $/t 551 551 501 472 434 430soybeans  c $/t  551  551  501  472  434  430

$/sunflower seed  c $/t  696  696  567  551  545  534sunflower seed  c /

Industrial cropsCotton lint d c/kg 193 205 377 225 199 215Industrial cropsCotton lint  d c/kg  193  205  377  225  199  215S ( t f hi ) $/ 32 44 38 43 43 38Sugar cane (cut for crushing) $/t  32  44  38  43  43  38g ( g)Wine grapes $/t  527  464  413  458  499  509Wine grapes $/t  527  464  413  458  499  509

LivestockB f ttl /k 320 311 336 337 318 327

LivestockBeef cattle c/kg  320  311  336  337  318  327Lambs c/kg  415  444  519  509  364  445/ gPig c/kg  304  291  269  266  262  281Pig c/kg  304  291  269  266  262  281Poultry c/kg 215 209 205 202 212 213Poultry c/kg  215  209  205  202  212  213

Livestock productsW l /k 430 456 623 666 568 606

Livestock productsWool c/kg  430  456  623  666  568  606Milk c/L  42.5  37.4  43.2  42.1  40.1  47.7Milk c/ 5 3 3 0

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

a Average gross unit value across all grades in principal markets, unless otherwise indicated. Includes the cost of containers,commission and other expenses incurred in getting the commodities to their principal markets. These expenses are significant.b Average unit gross value relates to returns received from crops harvested in that year, regardless of when sales take place, unless otherwise indicated. c Price paid by crusher. d Australian base price for sales in the financial year indicated.f ABARES forecast. s ABARES estimate.Note: Prices used in these calculations exclude GST.Sources: ABARES; Australian Bureau of Statistics

Page 118: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

116 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World

TABLE 11 World production, consumption, stocks and trade for selected commodities a

STATISTICS

11 World production consumption stocks and trade for selected commodities a11Worldproduction,consumption,stocksandtradeforselectedcommoditiesaunit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

FarmG iFarmGrainsWheat

production Mt  685  679  653  695  655  705Wheat

production Mt  685  679  653  695  655  705consumption Mt 645 653 657 696 673 694consumption Mt  645  653  657  696  673  694closing stocks Mt 172 199 194 194 175 186closing stocks Mt  172  199  194  194  175  186exports  b Mt  137  128  126  145  141  148exports  b

Coarse grainsproduction Mt 1 109 1 117 1 097 1 151 1 131 1 254

Coarse grainsproduction Mt 1 109 1 117 1 097 1 151 1 131 1 254

iconsumption Mt 1 077 1 106 1 128 1 134 1 140 1 217pclosing stocks Mt  194  198  166  165  165  202closing stocks Mt  194  198  166  165  165  202exports b Mt 113 123 116 147 118 135exports  b Mt  113  123  116  147  118  135

Riced i

Riceproduction  c Mt  448  440  449  465  469  471p Mt  448  440  449  465  469  471consumption  c Mt 436 437 445 458 467 471consumption  c Mt  436  437  445  458  467  471closing stocks c Mt 92 96 99 107 109 108closing stocks  c Mt  92  96  99  107  109  108

t bdexports  bd Mt  29  31  36  39  37  38

Oilseeds and vegetable oilsOilseeds and vegetable oilsOil dOilseeds

production Mt  399  447  460  445  470  498production Mt  399  447  460  445  470  498consumption Mt 403 424 447 465 464 485consumption Mt  403  424  447  465  464  485closing stocks Mt 59 76 85 65 72 85closing stocks Mt  59  76  85  65  72  85exports Mt  95  107  108  111  115 126e po s

Vegetable oilsproduction Mt 134 141 149 157 159 168

Vegetable oilsproduction Mt  134  141  149  157  159  168

i M 131 140 146 153 156 165consumption Mt  131  140  146  153  156  165pclosing stocks Mt  13  14  15  17  19  22closing stocks Mt  13  14  15  17  19  22exports Mt 56 57 60 63 66 68exports Mt  56  57  60  63  66  68

Vegetable protein mealsVegetable protein mealsproduction Mt  224  240  253  263  263  275productionconsumption Mt 224 234 247 258 263 274consumption Mt  224  234  247  258  263  274closing stocks Mt 6 8 10 12 13 14closing stocks Mt  6  8  10  12  13  14exports Mt  66  70  75  78  76 79p

Industrial cropsC ttIndustrial cropsCotton

production Mt  23  22  25  27  26  26production Mt  23  22  25  27  26  26consumption Mt 23 26 25 22 23 24consumption Mt  23  26  25  22  23  24closing stocks Mt 13 10 11 16 19 21closing stocks Mt  13  10  11  16  19  21exports Mt  7  8  8  10  10  9p

Sugarproduction Mt 149 159 165 174 184 182

Sugarproduction Mt  149  159  165  174  184  182

ti M 162 163 164 168 173 177consumption Mt  162  163  164  168  173  177pclosing stocks Mt  61  57  58  64  75  80closing stocks Mt  61  57  58  64  75  80exports Mt 48 55 55 54 56 58exports Mt  48  55  55  54  56  58

continuedcontinued...

Page 119: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

117ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

World

TABLE 11 World production, consumption, stocks and trade for selected commodities a continued

STATISTICS

11 World production consumption stocks and trade for selected commodities a co11Worldproduction,consumption,stocksandtradeforselectedcommoditiesacounit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

Livestock productsLivestock products Meat  deg

production Mt 250 258 260 265 270 274Meat  deg

production Mt  250  258  260  265  270  274consumption Mt 247 255 256 261 266 270consumption Mt  247  255  256  261  266  270closing stocks Mt 2 4 2 3 2 3 2 6 2 4 2 3closing stocks Mt 2.4 2.3 2.3 2.6 2.4 2.3

t bexports  b Mt 23.1 24.4 26.3 27.3 28.1 29.0Wool h

production kt 1 104 1 126 1 117 1 110 1 111 1 129Wool  h

production kt 1 104 1 126 1 117 1 110 1 111 1 129consumption di kt 1 105 1 125 1 130 1 110 1 105 1 127consumption  di kt 1 105 1 125 1 130 1 110 1 105 1 127l i kclosing stocks  j kt  65  55  45  24  25  35g j kt  65  55  45  24  25  35exports  k kt 484 501 502 447 485 496exports  k kt  484  501  502  447  485  496

B tter dButter  dgproduction kt 8 039 8 181 8 584 8 919 9 133 9 250productionconsumption kt 7 549 7 828 8 094 8 399 8 651 8 750consumption kt 7 549 7 828 8 094 8 399 8 651 8 750closing stocks kt 257 176 216 259 253 240closing stocks kt  257  176  216  259  253  240

k 8 3 36 2 3 93 820exports kt  813  736  724  773  793  820pSkim milk powder  dgl

production kt 3 452 3 415 3 675 3 979 3 994 4 160Skim milk powder  dgl

production kt 3 452 3 415 3 675 3 979 3 994 4 160consumption kt 2 920 3 000 3 190 3 439 3 449 3 610consumption kt 2 920 3 000 3 190 3 439 3 449 3 610closing stocks kclosing stocks kt  556  496  449  461  425  400exports kt 1 140 1 344 1 528 1 596 1 636 1 710exports kt 1 140 1 344 1 528 1 596 1 636 1 710

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

a Some figures are not based on precise or complete analyses. b Excludes intra‐EU trade. cMilled equivalent. d On a calendar year basis, e.g. 1991–92 = 1992. e Beef and veal, mutton, lamb, goat, pig and poultry meat. f ABARES forecast. g Selected countries. h Clean equivalent. i Virgin wool at the spinning stage in 65 countries. j Held by marketing bodies and on‐farm in five major exporting countries. k Five major exporting countries. l Non‐fat dry milk. s ABARES estimate.Sources: ABARES; Argentine Wool Federation; Australian Bureau of Statistics; Capewools South Africa; Commodities Research Unit; Commonwealth Secretariat; Department of Agriculture; Economic Commission for Europe; Fearnleys; Food and Agriculture Organization; International Grains Council; International Sugar Organization; ISTA Mielke and Co; Ministry of Agriculture, Forestry and Fisheries (Japan); New Zealand Wool Board; United States Department of Agriculture; Uruguayan Association of Wool Exporters 

Page 120: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

118 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian production

TABLE 12 Agricultural, fisheries and forestry commodity production Australia

STATISTICS

unit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

barley kt 7 997 7 865 7 995 8 221 7 466 8 620canola kt 1 844 1 907 2 359 3 427 4 010 3 410chickpeas kt  443  487  513  673  813  629field peas kt  238  356  395  342  320  363lupins kt  708  823  808  982  459  581oats kt 1 160 1 162 1 128 1 262 1 115 1 249triticale kt  363  545  355  285  429  400wheat kt 21 420 21 834 27 410 29 905 22 461 26 213

cottonseed kt  466  547 1 269 1 694 1 417 1 379corn (maize) kt  376  328  357  451  496  335rice kt  61  197  723  919 1 166  907grain sorghum kt 2 692 1 508 1 935 2 239 2 005 1 608soybeans kt  80  60  30  86  92  63sunflower seed kt  55  41  43  47  44  32other oilseeds  a kt  34  40  33  35  39  34

Total grains and oilseeds kt 37 935 37 699 45 352 50 567 42 332 45 823

Cotton lint kt  329  387  926 1 198 1 002  975Sugar cane (cut for crushing) kt 31 457 31 235 27 443 27 943 30 400 30 500Sugar (tonnes actual) kt 4 634 4 472 3 610 3 683 4 300 4 200Wine grapes kt 1 684 1 533 1 598 1 582 1 695 1 725

apples kt  295  264  300  289  295  300bananas kt  270  302  203  286  312  318oranges kt  348  391  291  390  360  380

carrots kt  264  267  225  319  319  322onions kt  284  260  331  347  310  300potatoes kt 1 179 1 278 1 128 1 288 1 290 1 292tomatoes kt  440  472  302  372  400  418

Cattle and calves ’000 8 583 8 364 8 097 7 873 8 457 8 930Lambs ’000 20 395 19 478 17 880 18 879 21 122 20 900Sheep ’000 10 501 7 333 5 341 5 175 8 192 8 940Pigs ’000 4 476 4 561 4 643 4 733 4 745 4 830

Cattle exported live  b ’000  845  871  728  579  513  650Sheep exported live  c  ’000 4 067 3 060 2 916 2 562 2 000 2 000

Beef and veal  d kt 2 125 2 109 2 133 2 115 2 245 2 315Lamb  d kt  416  413  391  419  457  452Mutton  d kt  220  162  123  120  183  200Pig meat kt  321  331  342  351  356  362Chicken meat  d kt  832  834 1 015 1 030 1 046 1 080Total kt 3 914 3 849 4 005 4 034 4 287 4 409

continued...

Slaughterings

Live exports

Meat produced

Winter crops

Summer crops

Fruit

Vegetables

12Agricultural,fisheriesandforestrycommodityproductionAustraliaCropsGrains and oilseeds

Industrial crops

Horticulture

Livestock

Page 121: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

119ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian production

TABLE 12 Agricultural, fisheries and forestry commodity production Australia continued

STATISTICS

12 Agricultural fisheries and forestry commodity production Australia continued12Agricultural,fisheriesandforestrycommodityproductionAustraliacontinuedunit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

Livestock productsW lLivestock products Wool  e kt  420  423  429  411  435  420Milk  g ML 9 388 9 023 9 100 9 480 9 200 9 130Milk  g ML 9 388 9 023 9 100 9 480 9 200 9 130Butter  h kt 148 128 122 120 118 117Butter  h kt  148  128  122  120  118  117Cheese kt 343 350 339 347 338 336Cheese kt  343  350  339  347  338  336Casein k 10 8 5 5 5 4Casein kt  10  8  5  5  5  4Ski ilk d iSkim milk powder  i kt  212  190  222  230  224  223pWhole milk powder kt  148  126  151  140  109  108Whole milk powder kt  148  126  151  140  109  108Buttermilk powder kt 15 13 12 11 11 10Buttermilk powder kt  15  13  12  11  11  10

Forestry products  jHardwood ’000 m3 12 485 11 144 11 585 9 733 8 352 9 899Forestry products  jHardwood ’000 m3 12 485 11 144 11 585 9 733 8 352 9 899Softwood ’000 3 13 314 14 433 14 981 14 026 13 487 14 499Softwood ’000 m3 13 314 14 433 14 981 14 026 13 487 14 499Total 3 25 799 25 577 26 567 23 759 21 838 24 398Total ’000 m3 25 799 25 577 26 567 23 759 21 838 24 398

Fisheries kTuna kt 13 7 11 0 9 1 10 1 10 5 11 3Fisheries  k  Tuna   kt 13.7 11.0 9.1 10.1 10.5 11.3Salmonids l kt 30 0 32 0 36 8 44 0 44 8 46 6Salmonids  l kt 30.0 32.0 36.8 44.0 44.8 46.6Oth fi hOther fish  kt 115.7 120.7 112.0 112.6 113.7 112.8Prawns kt 24.2 27.3 27.0 22.5 24.0 24.7kt 24.2 27.3 27.0 22.5 24.0 24.7Rocklobster  m  kt 12.2 10.1 9.9 8.7 9.4 9.3Rocklobster  m  kt 12.2 10.1 9.9 8.7 9.4 9.3Abalone kt 5 6 5 0 5 2 5 0 4 9 5 0Abalone kt 5.6 5.0 5.2 5.0 4.9 5.0Scallops kt 7 6 7 6 6 2 2 3 2 9 3 5Scallops kt 7.6 7.6 6.2 2.3 2.9 3.5O tOysters kt 14.2 14.9 13.9 15.7 15.1 15.6h llOther molluscs kt 6.6 6.4 6.6 7.5 6.5 6.6kt 6.6 6.4 6.6 7.5 6.5 6.6

Other crustaceans kt 5.8 5.7 6.2 6.0 6.0 6.1Other crustaceans kt 5.8 5.7 6.2 6.0 6.0 6.1

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

a Linseed, safflower seed and peanuts. b Excludes animals exported for breeding purposes. c Includes animals for breeding. d In carcass weight and includes carcass equivalent of canned meats. e Greasy equivalent of shorn wool (includes crutching), dead and fellmongered wool and wool exported on skins. f ABARES forecast. g Includes the whole milk equivalent of farm cream intake.h Includes the butter equivalent of butteroil, butter concentrate, ghee and dry butterfat. i Includes mixed skim and buttermilk powder. j Excludes logs harvested for firewood. k Liveweight. l Includes salmon and trout production.m Includes Queensland bugs. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Australian Fisheries Management Authority; Dairy Australia; Department of Fisheries, Western Australia; Department of Primary Industries, Parks, Water and Environment, Tasmania; Fisheries Queensland,Department of Employment, Economic Development and Innovation; Fisheries Victoria, Department of Primary Industries; Industry & Investment New South Wales; Northern Territory Department of Regional Development, Primary Industry, Fisheries andResources; Primary Industries and Resources, South Australia; Raw Cotton Marketing Advisory Committee; South Australian Research and Development Institute; state and territory forest services; various Australian forestry industries

Page 122: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

120 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Value of production

TABLE 13 Gross value of farm, fisheries and forestry production Australia

STATISTICS

2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f$m $m $m $m $m $m

barley 1 850 1 356 1 729 1 723 1 998 1 978canola 1 011  840 1 283 1 759 2 201 1 675chickpeas  199  216  207  308  320  210field peas  82  86  105  101  130  133lupins  198  222  216  228  156  178oats  251  186  221  255  263  246triticale  93  120  65  50  105  84wheat 6 021 4 765 7 052 6 775 7 021 8 667

corn (maize)  106  88  92  113  151  100rice  34  90  174  248  321  255grain sorghum  553  296  412  423  481  381soybeans  44  33  15  41  40  27sunflower seed  38  29  24  26  24  17other oilseeds  a  28  37  30  33  37  31

Total grains and oilseeds 10 778 8 663 12 138 12 485 13 695 14 420

Cotton lint and cottonseed  b  693  828 2 087 2 889 2 138 2 113Sugar cane (cut for crushing) 1 021 1 382 1 036 1 214 1 321 1 169Wine grapes  887  709  712  725  846  878Total industrial crops 2 601 2 919 3 834 4 827 4 304 4 161

Table and dried grapes  286  273  308  308  307  296Fruit and nuts (excl. grapes) 2 871 2 950 3 013 3 050 3 273 3 450Vegetables 3 012 3 023 3 338 3 339 3 600 3 710Other horticulture 1 556 1 649 1 606 1 272 1 414 1 549Total horticulture 7 725 7 895 8 265 7 968 8 594 9 005Other crops nei  c 1 665 1 660 1 706 1 550 1 185 1 205

Total crops 22 769 21 137 25 943 26 830 27 778 28 790continued...

13Grossvalueoffarm,fisheriesandforestryproductionAustralia

CropsGrains and oilseeds

Industrial crops

Horticulture

Winter crops

Summer crops

Page 123: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

121ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Value of production

TABLE 13 Gross value of farm, fisheries and forestry production Australia continued

2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f$m $m $m $m $m $m

Cattle and calves  d 6 806 6 567 7 164 7 134 7 136 7 567Sheep  e  428 499 484 419 323  460Lambs eg 1 725 1 832 2 029 2 136 1 665 2 011

13GrossvalueoffarmandfisheriesproductionAustraliacontinued

LivestockSlaughterings

Lambs  eg 1 725 1 832 2 029 2 136 1 665 2 011Pigs  976 965 919 934 934 1 016Poultry 1 862 1 785 2 077 2 078 2 214 2 300

Cattle exported live  h    646 701 660 651 589  700Sheep exported live  h  340 298 348 345 194  215Total livestock  i 12 834 12 722 13 795 13 836 13 214 14 444

Wool  j      1 806 1 928 2 673 2 734 2 472 2 545

Live exports

Livestock products 

Milk  k 3 988 3 371 3 932 3 986 3 687 4 355Eggs  447 428 572 583 653  670Honey and beeswax  86 80 66 79 88  92

Total livestock products 6 326 5 807 7 243 7 383 6 900 7 662

Total farm 41 929 39 666 46 981 48 049 47 892 50 896

Hardwood  936 852 892 762 660  773Softwood  823 923 959 885 848  918Total 1 759 1 776 1 851 1 647 1 508 1 691

Forestry products  l

Total 1 759 1 776 1 851 1 647 1 508 1 691

Tuna    187 125 139 172 175  159Salmonids  n  326 369 427 513 524  538Other fish  o  463 464 428 456 450  441Prawns  290 325 306 266 309  310Rocklobster  q  415  381  390  384  424  450Abalone  189 173 178 170 176  185Scallops  26 23 22 8 9  11Oysters 93 101 97 107 107 112

Fisheries products  m

Oysters  93 101 97 107 107  112Pearls  r  90 105 120 102 93  104Other molluscs  t  49 32 31 34 33  34Other crustaceans  66  65  65  78  72  72Total fish  2 214 2 191 2 241 2 316 2 401 2 445

a Linseed, safflower seed and peanuts. b Value delivered to gin. cMainly fodder crops. d Includes dairy cattle slaughtered.e Excludes skin values. f ABARES forecast. g Lamb saleyard indicator weight 18–22 kg. h Includes animals exported for breeding purposes. i Total livestock slaughterings includes livestock disposals. j Shorn, dead and fellmongered wool and wool exported on skins. kMilk intake by factories and valued at the farm gate. l Excludes logs harvested for firewood.m Value to fishers of product landed in Australia. n Includes salmon and trout production. o Includes an estimated value of aquaculture. q Includes Queensland bugs. r Includes Northern Territory aquaculture production from 2009–10.s ABARES estimate. t Also includes fish and aquaculture values not elsewhere included. nei not elsewhere included.Note: The gross value of production is the value placed on recorded production at the wholesale prices realised in the marketplace. The point of measurement can vary between commodities. Generally the marketplace is the metropolitan market in each state and territory. However, where commodities are consumed locally or where they become raw material for a secondary industry, these points are presumed to be the marketplace. Prices used in these calculations exclude GST. Sources: ABARES; Australian Bureau of Statistics

a Linseed, safflower seed and peanuts. b Value delivered to gin. cMainly fodder crops. d Includes dairy cattle slaughtered.e Excludes skin values. f ABARES forecast. g Lamb saleyard indicator weight 18–22 kg. h Includes animals exported for breeding purposes. i Total livestock slaughterings includes livestock disposals. j Shorn, dead and fellmongered wool and wool exported on skins. kMilk intake by factories and valued at the farm gate. l Excludes logs harvested for firewood.m Value to fishers of product landed in Australia. n Includes salmon and trout production. o Includes an estimated value of aquaculture. q Includes Queensland bugs. r Includes Northern Territory aquaculture production from 2009–10.s ABARES estimate. t Also includes fish and aquaculture values not elsewhere included. nei not elsewhere included.Note: The gross value of production is the value placed on recorded production at the wholesale prices realised in the marketplace. The point of measurement can vary between commodities. Generally the marketplace is the metropolitan market in each state and territory. However, where commodities are consumed locally or where they become raw material for a secondary industry, these points are presumed to be the marketplace. Prices used in these calculations exclude GST. Sources: ABARES; Australian Bureau of Statistics

Page 124: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

122 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Areas, stock

TABLE 14 Crop areas and livestock numbers Australia

STATISTICS

14 Crop areas and livestock numbers Australia14CropareasandlivestocknumbersAustraliaunit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

Crop areasCrop areasi d il dGrains and oilseeds

Winter cropsbarley ’000 ha 5 015 4 422 3 681 3 718 3 622 3 807

Winter cropsbarley 000 ha 5 015 4 422 3 681 3 718 3 622 3 807canola ’000 ha 1 693 1 695 2 078 2 461 3 203 2 538canola ’000 ha 1 693 1 695 2 078 2 461 3 203 2 538hi k ’000 h 338 429 653 456 574 507chickpeas ’000 ha  338  429  653  456  574  507f ldfield peas ’000 ha  300  285  318  249  281  249plupins ’000 ha  577  692  756  689  450  387lupins 000 ha  577  692  756  689  450  387oats ’000 ha 870 850 826 731 699 744oats 000 ha  870  850  826  731  699  744triticale ’000 ha 323 350 187 145 258 230triticale ’000 ha  323  350  187  145  258  230wheat ’000 ha 13 530 13 881 13 502 13 902 12 773 13 512wheat ’000 ha 13 530 13 881 13 502 13 902 12 773 13 512

SSummer cropscorn (maize) ’000 ha  65  59  62  70  81  58

pcorn (maize) 000 ha  65  59  62  70  81  58rice ’000 ha  7  19  76  103  114  101rice 000 ha  7  19  76  103  114  101grain sorghum ’000 ha 767 498 633 659 595 552grain sorghum ’000 ha  767  498  633  659  595  552soybeans ’000 ha 42 31 17 38 41 31soybeans ’000 ha  42  31  17  38  41  31

fl d ’000 h 52 27 37 40 30 27sunflower seed ’000 ha  52  27  37  40  30  27other oilseeds  a ’000 ha  20  16  19  18  17  17other oilseeds  a

Total grains and oilseeds ’000 ha 24 095 23 787 23 946 24 295 23 625 23 591Total grains and oilseeds 000 ha 24 095 23 787 23 946 24 295 23 625 23 591

Industrial cropsC tt ’ hIndustrial cropsCotton ’000 ha  164  208  590  600  442  413Sugar cane  b ’000 ha  387  369  314  368  371  382g 000 ha  387  369  314  368  371  382Winegrapes e ’000 ha 157 152 154 145 146 147Winegrapes  e 000 ha  157  152  154  145  146  147

Livestock numbers  cCattleLivestock numbers  c

beef million 25 29 24 01 25 94 25 69 25 47 25 00Cattle

beef million 25.29 24.01 25.94 25.69 25.47 25.00dairy million 2 61 2 54 2 57 2 73 2 88 2 89dairy million 2.61 2.54 2.57 2.73 2.88 2.89milking herd d illi 1 68 1 60 1 59 1 70 1 71 1 71    milking herd  d million 1.68 1.60 1.59 1.70 1.71 1.71

t t ltotal million 27.91 26.55 28.51 28.42 28.35 27.89Sheep million 72.7 68.1 73.1 74.7 73.8 71.9p million 72.7 68.1 73.1 74.7 73.8 71.9Pigs million 2 30 2 29 2 29 2 14 1 99 2 05Pigs million 2.30 2.29 2.29 2.14 1.99 2.05

a Linseed and safflower seed. b Cut for crushing. c At 30 June. d Cows in milk and dry. e This figure is for grapes for wine only. Prior to 2008–09 this figure includes grapes used for winemaking and other purposes such as drying and table.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Linseed and safflower seed. b Cut for crushing. c At 30 June. d Cows in milk and dry. e This figure is for grapes for wine only. Prior to 2008–09 this figure includes grapes used for winemaking and other purposes such as drying and table.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Linseed and safflower seed. b Cut for crushing. c At 30 June. d Cows in milk and dry. e This figure is for grapes for wine only. Prior to 2008–09 this figure includes grapes used for winemaking and other purposes such as drying and table.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Linseed and safflower seed. b Cut for crushing. c At 30 June. d Cows in milk and dry. e This figure is for grapes for wine only. Prior to 2008–09 this figure includes grapes used for winemaking and other purposes such as drying and table.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Linseed and safflower seed. b Cut for crushing. c At 30 June. d Cows in milk and dry. e This figure is for grapes for wine only. Prior to 2008–09 this figure includes grapes used for winemaking and other purposes such as drying and table.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Linseed and safflower seed. b Cut for crushing. c At 30 June. d Cows in milk and dry. e This figure is for grapes for wine only. Prior to 2008–09 this figure includes grapes used for winemaking and other purposes such as drying and table.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

a Linseed and safflower seed. b Cut for crushing. c At 30 June. d Cows in milk and dry. e This figure is for grapes for wine only. Prior to 2008–09 this figure includes grapes used for winemaking and other purposes such as drying and table.f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

Page 125: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

123ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Yields

TABLE 15 Average farm yields Australia

STATISTICS

15 Average farm yields Australia15AveragefarmyieldsAustraliaunit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 s 2013–14 f

CropsCropsG i d il dGrains and oilseedsWinter crops

barley t/ha 1.59 1.78 2.17 2.21 2.06 2.26Winter crops

barley t/ha 1.59 1.78 2.17 2.21 2.06 2.26canola t/ha 1 09 1 13 1 14 1 39 1 25 1 34canola t/ha 1.09 1.13 1.14 1.39 1.25 1.34chickpeas t/ha 1 31 1 14 0 79 1 48 1 42 1 24chickpeas t/ha 1.31 1.14 0.79 1.48 1.42 1.24fi ld /hfield peas t/ha 0.79 1.25 1.24 1.38 1.14 1.46plupins t/ha 1.23 1.19 1.07 1.42 1.02 1.50lupins t/ha 1.23 1.19 1.07 1.42 1.02 1.50oats t/ha 1.33 1.37 1.37 1.73 1.60 1.68oats t/ha 1.33 1.37 1.37 1.73 1.60 1.68triticale t/ha 1 12 1 56 1 90 1 97 1 66 1 74triticale t/ha 1.12 1.56 1.90 1.97 1.66 1.74wheat t/ha 1 58 1 57 2 03 2 15 1 76 1 94wheat t/ha 1.58 1.57 2.03 2.15 1.76 1.94

SSummer cropscorn (maize) t/ha 5.82 5.56 5.74 6.47 6.13 5.78corn (maize) /rice t/ha 8.46 10.39 9.54 8.91 10.24 8.98rice t/ha 8.46 10.39 9.54 8.91 10.24 8.98grain sorghum t/ha 3 51 3 03 3 06 3 40 3 37 2 91grain sorghum t/ha 3.51 3.03 3.06 3.40 3.37 2.91soybeans t/ha 1 89 1 90 1 71 2 26 2 23 2 03soybeans t/ha 1.89 1.90 1.71 2.26 2.23 2.03

fl d t/h 1 07 1 54 1 14 1 17 1 46 1 18sunflower seed t/ha 1.07 1.54 1.14 1.17 1.46 1.18

Industrial cropsCotton (lint) t/ha 2 01 1 86 1 57 2 00 2 27 2 36Industrial cropsCotton (lint) t/ha 2.01 1.86 1.57 2.00 2.27 2.36Sugar cane (for crushing) t/ha 81 85 87 76 82 80Sugar cane (for crushing) t/ha  81  85  87  76  82  80Wi /h 10 10 1 10 4 10 9 11 6 11Winegrapes t/ha 10.7 10.1 10.4 10.9 11.6 11.7g pLivestockWool a kg/sheep 4 29 4 26 4 34 4 19 4 41 4 26LivestockWool  a kg/sheep 4.29 4.26 4.34 4.19 4.41 4.26Wh l ilk L/ 5 602 5 653 5 727 5 577 5 389 5 339Whole milk L/cow 5 602 5 653 5 727 5 577 5 389 5 339a Shorn (including lambs). f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statisticsa Shorn (including lambs). f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statisticsa Shorn (including lambs). f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statisticsa Shorn (including lambs). f ABARES forecast. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics

Page 126: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

124 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Export volumes

TABLE 16 Volume of agricultural and fisheries exports a Australia

STATISTICS

unit 2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f

barley  b kt 3 898 4 234 4 625 6 568 5 165 5 947canola kt  973 1 238 1 471 2 323 3 488 2 621chickpeas kt  467  459  409  653  853  520lupins kt  157  377  289  316  453  134oats (unprepared) kt  196  216  127  163  156  146peas  c kt  118  163  254  248  208  217wheat  d kt 13 410 13 725 18 431 23 026 21 265 18 579

cottonseed kt  37  106  268  654  754  600corn (maize) kt  69  15  12  68  134  76rice kt  106  54  174  538  638  588grain sorghum kt 1 368  487  553 1 112 1 291  863other oilseeds  e kt  10  13  7  6  10  15

Total grains and oilseeds kt 20 809 21 088 26 620 35 674 34 414 30 307

Raw cotton  g kt  260  395  505  994 1 306  987Sugar kt 3 268 3 506 2 735 2 572 2 996 2 958Wine ML  753  790  748  737  717  730

Beef and veal  hi kt  968  899  937  948 1 014 1 085Live cattle  j ’000  845  871  728  579  513  650Lamb  h kt  156  157  157  174  201  199Live sheep  k ’000 4 067 3 060 2 916 2 562 2 000 2 000Mutton  h kt  146  111  86  89  144  158Pig meat  h kt  32  30  31  29  26  28Poultry meat  h kt  37  28  31  38  32  38

Greasy  ls kt  314  308  335  301  316  308Semi‐processed kt (gr eq)  62  49  44  37  34  33Skins kt (gr eq)  70  71  65  67  87  89Total  ks kt (gr eq)  445  428  444  405  438  430

Butter  m kt  70  74  56  49  54  53Cheese kt  146  168  163  161  174  173Casein kt  8  10  5  4  4  4Skim milk powder kt  162  126  155  141  147  146Whole milk powder kt  116  91  108  102  87  86

continued...

Dairy products

Winter crops

Summer crops

16VolumeofagriculturalandfisheriesexportsAustraliaaFarmGrains and oilseeds

Industrial crops

Meat and live animals

Wool 

Page 127: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

125ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Export volumes

TABLE 16 Volume of agricultural and fisheries exports a Australia continued

STATISTICS

16 Volume of agricultural and fisheries exports Australia a continued16VolumeofagriculturalandfisheriesexportsAustraliaacontinuedunit 2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 funit 2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f

Fi h i d tFisheries productsTuna   kt 11.5 9.5 7.8 8.9 8.9 9.7Tuna   kt 11.5 9.5 7.8 8.9 8.9 9.7Salmonids kt 6.6 4.0 6.4 5.8 2.6 4.4Salmonids kt 6.6 4.0 6.4 5.8 2.6 4.4Other fish kt 7 5 7 1 7 7 6 5 5 5 6 5Other fish kt 7.5 7.1 7.7 6.5 5.5 6.5P

F k 4 7 4 5 6 4 5 3 3 9 4 1Prawns  n

Frozen kt 4.7 4.5 6.4 5.3 3.9 4.1Rocklobsteroc obs e

Fresh, chilled, frozenor cooked kt 9 6 7 7 7 0 6 9 7 8 7 9

Fresh, chilled, frozen    or cooked kt 9.6 7.7 7.0 6.9 7.8 7.9

AbaloneLi f h hill d kt 1 9 1 8 1 7 1 6 1 4 1 5

AbaloneLive, fresh or chilled kt 1.9 1.8 1.7 1.6 1.4 1.5Frozen or cooked kt 0.5 0.7 0.8 0.8 0.7 0.7Fro en or cookedPrepared or preserved kt 0.9 1.1 1.0 0.8 0.7 0.8Prepared or preserved kt 0.9 1.1 1.0 0.8 0.7 0.8

Scallops o kt 1 1 1 1 0 6 0 4 0 4 0 5Scallops  o kt 1.1 1.1 0.6 0.4 0.4 0.5

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

a ABARES has revised the calculation method for the volume of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h In shipped weight. Fresh, chilled or frozen. i Includes meat loaf. j Excludes breeding stock. k Includes breeding stock.l ABS recorded trade data adjusted for changes in stock levels held overseas. m Includes ghee, dry butterfat, butter concentrate and butter oil, and dairy spreads, all expressed as butter. n Excludes volume of other prawn products. o Includes crumbed scallops. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; Department of Foreign Affairs and Trade; United Nations Comtrade database

Page 128: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

126 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Export values

TABLE 17 Value of agricultural and fisheries exports (fob) a Australia

STATISTICS

2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f$m $m $m $m $m $m

barley  b 1 321 1 093 1 295 1 875 1 626 1 710canola  595  583  866 1 344 2 094 1 437chickpeas  275  255  213  384  533  260lupins  61  115  89  86  160  57oats  64  53  37  47  54  39peas  c  62  60  85  93  89  94wheat  d 5 028 3 692 5 516 6 378 6 776 6 372

cottonseed  19  46  85  195  219  188corn (maize)  13  8  6  24  50  26rice  143  59  154  448  490  454grain sorghum  405  116  146  299  364  278other oilseeds  e  27  24  14  10  13  18

Total grains and oilseeds 8 015 6 102 8 505 11 183 12 469 10 932

Raw cotton  g  500  755 1 367 2 736 2 695 2 181Sugar 1 338 1 887 1 436 1 556 1 403 1 276Wine 2 493 2 188 2 009 1 910 1 867 1 950Total industrial crops 4 266 4 805 4 760 6 154 5 918 5 416

Fruit  683  585  456  505  634  580Tree nuts  233  212  211  240  348  420Vegetables  487  542  607  712  678  683Nursery  29  23  20  15  12  17Other horticulture  h  280  274  293  258  224  287Total horticulture 1 712 1 637 1 588 1 729 1 896 1 987Other crops and crop products 2 368 2 346 2 461 2 517 2 740 2 979Total crops 16 361 14 890 17 313 21 583 23 023 21 315

Beef and veal  4 857 3 953 4 328 4 467 4 866 5 430Live cattle  i  538  550  499  412  339  450Lamb  925  916 1 026 1 060 1 086 1 180Live sheep  j  340  298  348  345  194  215Mutton  482  433  404  362  478  598Pig meat  124  109  106  100  81  84Poultry meat  43  36  38  45  43  51Total meat and live animals 7 309 6 294 6 749 6 791 7 087 8 007

Greasy  k 1 729 1 773 2 371 2 448 2 261 2 337Semi‐processed  281  238  251  242  210  210Skins  312  291  426  433  399  414Total  k 2 322 2 303 3 048 3 123 2 869 2 961

continued...

17Valueofagriculturalfisheriesandforestryexports(fob)Australiaa

Meat and live animals

Wool 

Winter crops

Summer crops

FarmGrains and oilseeds

Industrial crops

Horticulture

Page 129: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

127ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Export values

TABLE 17 Value of agricultural and fisheries exports (fob) a Australia continued

STATISTICS

17 Value of agricultural fisheries and forestry exports Australia a continued17Valueofagricultural,fisheriesandforestryexportsAustraliaacontinued2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f2008–09 2009–10 2010–11 2011–12 2012–13 2013–14 f

$ $ $ $ $ $$m $m $m $m $m $mD i dDairy productsButter  232  211  252  201  180  218

y pButter  232  211  252  201  180  218Cheese 796 715 731 751 784 917Cheese  796  715  731  751  784  917Casein 107 88 53 48 46 53Casein  107  88  53  48  46  53Skim milk powder 553 352 504 474 467 590Skim milk powder  553  352  504  474  467  590Wh l ilk dWhole milk powder  475  296  402  378  312  414pOther dairy products  520  427  404  439  440  573Other dairy products  520  427  404  439  440  573Total 2 683 2 089 2 345 2 292 2 229 2 766Total 2 683 2 089 2 345 2 292 2 229 2 766Other livestock and livestock products 2 400 2 217 2 354 2 529 2 764 2 994Other livestock and livestock products 2 400 2 217 2 354 2 529 2 764 2 994

Total livestock exports 14 714 12 903 14 496 14 735 14 949 16 728pTotal farm exports 31 075 27 793 31 809 36 317 37 972 38 043Total farm exports 31 075 27 793 31 809 36 317 37 972 38 043

Fisheries productsFisheries productsTuna    177  118  131  163  163  146Tuna  Salmonids  47  30  54  42  25  36Salmonids  47  30  54  42  25  36Other fish 109 110 101 85 70 85Other fish  109  110  101  85  70  85Prawns l

Frozen 81 60 77 65 51 60Prawns  l

Frozen  81  60  77  65  51  60R kl bRocklobster

Fresh, chilled, frozen or cooked  462  399  368  387  447  482Fresh, chilled, frozen or cooked  462  399  368  387  447  482Abalone

Live fresh or chilled 88 100 88 81 79 92Abalone

Live, fresh or chilled  88  100  88  81  79  92Frozen or cooked 50 53 59 57 55 63Frozen or cooked  50  53  59  57  55  63P d d 70 63 65 59 52 59Prepared or preserved  70  63  65  59  52  59p p

Scallops  m  33  30  15  15  11  13Scallops  m  33  30  15  15  11  13Pearls 366 244 241 207 152 169Pearls  366  244  241  207  152  169Other fisheries products 44 39 48 65 69 43Other fisheries products  44  39  48  65  69  43T t l fi h i d t 1 529 1 246 1 248 1 227 1 175 1 248Total fisheries products 1 529 1 246 1 248 1 227 1 175 1 248a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Field peas and cowpeas. d Includes the grain equivalent of wheat flour. e Includes soybeans, linseed, sunflower seed, safflower seed and peanuts. Excludes meals and oils. f ABARES forecast. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products.i Excludes breeding stock. j Includes breeding stock. k On a balance of payments basis. ABS recorded trade data adjusted for changes in stock levels held overseas. l Other prawn products included in other fisheries products. m Includes crumbed scallops.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture, Canberra; United Nations Comtrade database

Page 130: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

128 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Forest exports

TABLE 18 Volume of forest products exports Australia

STATISTICSSTATISTICS

1818 Volume of forestry product exports Australia18VolumeofforestryproductexportsAustraliaunit 2007–08 2008–09 2009–10 2010–11 2011–12 2012–13unit 2007–08 2008–09 2009–10 2010–11 2011–12 2012–13

QuantityQuantityRoundwood ’000 m3 1 045  986 1 377 1 638 1 806 1 526Roundwood 000 mSawnwood a

Softwood roughsawn ’000 m3 258 283 322 265 198 207Sawnwood  a

Softwood roughsawn  ’000 m3  258  283  322  265  198  207S ft d d d 3 23 18 13 13 13 3Softwood dressed  ’000 m3  23  18  13  13  13  3Hardwood roughsawn  ’000 m3  40  40  37  39  26  20Hardwood roughsawn  000 m  40  40  37  39  26  20Hardwood dressed ’000 m3 17 14 16 30 15 7Hardwood  dressed  ’000 m3  17  14  16  30  15  7Total ’000 3 338 355 387 348 252 237Total  ’000 m3  338  355  387  348  252  237

R il l 3 11 9 9 8 8 8Railway sleepers ’000 m3  11  9  9  8  8  8y p 000 mWood‐based panels

Veneers ’000 m3 35 86 90 119 106 52Wood based panels

Veneers ’000 m3  35  86  90  119  106  52Plywood ’000 3 15 53 24 7 18 36Plywood ’000 m3  15  53  24  7  18  36

l b d 3Particleboard ’000 m3  6  17  9  5  4  3000 mHardboard b ’000 m3  0  2  1  2  2  2Hardboard  b 000 m  0  2  1  2  2  2Medium density fibreboard ’000 m3 204 181 130 115 79 52Medium density fibreboard ’000 m3  204  181  130  115  79  52S ftb d d th fib b d 3 14 8 2 5 5 1Softboard and other fibreboards  ’000 m3  14  8  2  5  5  1Total  ’000 m3  274  345  256  253  214  147Total  000 m

Paper and paperboardPaper and paperboardN i kNewsprint kt  5  2  6  19  30  72pPrinting and writing kt  119  112  146  84  132  139Printing and writing kt  119  112  146  84  132  139Household and sanitary kt 37 38 31 39 26 12Household and sanitary kt  37  38  31  39  26  12Packaging and industrial kt 630 617 708 887 933 906Packaging and industrial kt  630  617  708  887  933  906Total  kt  790  769  890 1 029 1 121 1 127

Recovered paper kt 1 286 1 216 1 444 1 323 1 403 1 506Recovered paper kt 1 286 1 216 1 444 1 323 1 403 1 506Pulp kt 21 22 18 31 1 0Pulp kt  21  22  18  31  1  0W d hi dWoodchips  cd kt 6 166 5 255 4 818 5 064 4 150 3 806p

a Excludes railway sleepers. b Uncoated hardboard confidential from January 2007. c Includes particles. d Bone dry tonnes.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasiaa Excludes railway sleepers. b Uncoated hardboard confidential from January 2007. c Includes particles. d Bone dry tonnes.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasiaa Excludes railway sleepers. b Uncoated hardboard confidential from January 2007. c Includes particles. d Bone dry tonnes.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasiaa Excludes railway sleepers. b Uncoated hardboard confidential from January 2007. c Includes particles. d Bone dry tonnes.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasiaa Excludes railway sleepers. b Uncoated hardboard confidential from January 2007. c Includes particles. d Bone dry tonnes.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

Page 131: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

129ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Forest exports

TABLE 19 Value of forest products exports (fob) Australia

STATISTICSSTATISTICS

19 l f f d (f b)19Valueofforestryproductsexports(fob)Australia19Valueofforestryproductsexports(fob)Australia2007–08 2008–09 2009–10 2010–11 2011–12 2012–132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mValueValueRoundwood  105  101  138  198  175  155RoundwoodSawnwood

Softwood roughsawn 63 70 76 67 55 61Sawnwood

Softwood roughsawn   63  70  76  67  55  61S ft d d d 11 9 7 5 3 2Softwoods dressed   11  9  7  5  3  2Hardwood roughsawn   38  37  33  34  23  20Hardwood roughsawn   38  37  33  34  23  20Hardwood dressed 8 9 10 10 7 6Hardwood dressed   8  9  10  10  7  6Total 120 125 125 115 88 90Total   120  125  125  115  88  90il lRailway sleepers  3  4  2  3  3  3y p

Miscellaneous forest products a  56  51  59  65  59  57Miscellaneous forest products  a  56  51  59  65  59  57Wood‐based panels

Veneers 19 36 44 52 51 24Wood‐based panels

Veneers  19  36  44  52  51  24Plywood  9  4  3  2  2  4yParticleboard  4  7  3  2  1  1Particleboard  4  7  3  2  1  1Hardboard b 0 1 1 2 2 2Hardboard  b  0  1  1  2  2  2M di d it fib b d 76 52 45 39 26 19Medium density fibreboard  c  76  52  45  39  26  19ySoftboard and other fibreboards  2  1  1  1  1  0Softboard and other fibreboards  2  1  1  1  1  0Total 109 101 97 98 83 51Total   109  101  97  98  83  51

Paper and paperboardN i

Paper and paperboardNewsprint    3  2  6  13  15  36pPrinting and writing  133  128  143  88  120  117Printing and writing  133  128  143  88  120  117Household and sanitary 106 111 97 94 64 33Household and sanitary  106  111  97  94  64  33Packaging and industrial 395 364 404 552 518 526Packaging and industrial  395  364  404  552  518  526Total   635  606  649  747  717  712

Paper manufactures   103  106  102  112  134  134Paper manufactures   103  106  102  112  134  134Recovered paper 252 235 228 240 240 230Recovered paper  252  235  228  240  240  230P l 15 18 13 11 1 0Pulp  15  18  13  11  1  0Woodchips 1 072  997  856  884  729  611WoodchipsTotal 2 471 2 343 2 270 2 474 2 229 2 043Total  2 471 2 343 2 270 2 474 2 229 2 043a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Uncoated hardboard confidential from January 2007. c Some categories of medium density fibreboard are confidential.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

Page 132: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

130 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Forest imports

TABLE 20 Volume of forest products imports Australia

STATISTICSSTATISTICS

20 l f f d20VolumeofforestryproductimportsAustralia20VolumeofforestryproductimportsAustraliaunit 2007–08 2008–09 2009–10 2010–11 2011–12 2012–13unit 2007–08 2008–09 2009–10 2010–11 2011–12 2012–13

Quantityd d 3

QuantityRoundwood ’000 m3  0.7  1.4  0.9  0.6  1.1  1.3000 mSawnwood aSawnwood  a

Softwood roughsawn ’000 m3 340 2 255 6 292 6 290 1 239 4 246 6Softwood roughsawn ’000 m3  340.2  255.6  292.6  290.1  239.4  246.6Softwood dressed ’ 3 321 2 278 8 367 3 468 2 469 7 442 7Softwood dressed  ’000 m3  321.2  278.8  367.3  468.2  469.7  442.7Hardwood roughsawn ’000 m3  59.0  50.5  42.8  42.6  45.9  41.3g 000 mHardwood dressed ’000 m3  63.5  43.5  45.4  45.4  36.1  28.4Hardwood dressed  000 m  63.5  43.5  45.4  45.4  36.1  28.4Total ’000 m3 783 9 628 4 748 1 846 3 791 1 759 0Total  ’000 m3  783.9  628.4  748.1  846.3  791.1  759.0

Wood‐based panelsVeneers ’000 m3 31 5 21 4 15 4 17 4 14 7 12 6

Wood based panelsVeneers ’000 m3  31.5  21.4  15.4  17.4  14.7  12.6Plywood ’000 3 236 6 199 1 227 7 277 6 292 8 278 0Plywood ’000 m3  236.6  199.1  227.7  277.6  292.8  278.0

l b d 3Particleboard ’000 m3  99.6  68.7  64.2  71.6  67.8  72.2000 mHardboard ’000 m3  32.1  23.5  33.0  48.5  69.1  59.8Hardboard 000 m  32.1  23.5  33.0  48.5  69.1  59.8Medium density fibreboard ’000 m3 68 8 88 3 69 9 58 0 95 2 79 6Medium density fibreboard ’000 m3  68.8  88.3  69.9  58.0  95.2  79.6S ftb d d th fib b d ’ 3 14 3 10 6 6 2 6 5 7 1 5 6Softboard and other fibreboards ’000 m3  14.3  10.6  6.2  6.5  7.1  5.6Total  ’000 m3  482.8  411.7  416.4  479.6  546.6  507.8Total  000 m

Paper and paperboardN i k

Paper and paperboardNewsprint   kt  227.6  197.6  190.6  221.5  121.1  84.7pPrinting and writing kt 1 235.3 1 122.1 1 167.4 1 237.0 1 173.9 1 154.7Printing and writing kt 1 235.3 1 122.1 1 167.4 1 237.0 1 173.9 1 154.7Household and sanitary kt 81 1 82 0 101 1 113 8 117 7 158 5Household and sanitary kt  81.1  82.0  101.1  113.8  117.7  158.5Packaging and industrial kt 303 1 254 0 285 3 313 8 333 1 385 4Packaging and industrial kt  303.1  254.0  285.3  313.8  333.1  385.4Total  kt 1 847.1 1 655.7 1 744.4 1 886.1 1 745.8 1 783.3

Recovered paper kt 10 2 3 0 3 4 2 0 2 6 3 7Recovered paper kt  10.2  3.0  3.4  2.0  2.6  3.7P l k 388 7 344 7 265 0 233 2 256 1 262 5Pulp kt  388.7  344.7  265.0  233.2  256.1  262.5pWoodchips kt  0.7  0.7  0.7  1.2  1.2  1.2Woodchips kt  0.7  0.7  0.7  1.2  1.2  1.2

a Excludes railway sleepers.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasiaa Excludes railway sleepers.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasiaa Excludes railway sleepers.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasiaa Excludes railway sleepers.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

Page 133: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

131ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Forest imports

TABLE 21 Value of forest products imports Australia

STATISTICSTATISTIC

21 l f f d21ValueofforestryproductsimportsAustralia21ValueofforestryproductsimportsAustralia2007–08 2008–09 2009–10 2010–11 2011–12 2012–132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mValueValueRoundwood  1  1  0  1  1  1Roundwood 0Sawnwood

Softwood roughsawn 186 134 140 135 105 100Sawnwood

Softwood roughsawn  186  134  140  135  105  100S ft d d d 191 168 200 248 248 246Softwood dressed   191  168  200  248  248  246Hardwood roughsawn  56  49  39  40  44  41Hardwood roughsawn  56  49  39  40  44  41Hardwood dressed 58 55 50 50 51 35Hardwood dressed   58  55  50  50  51  35Total 492 405 429 473 448 423Total   492  405  429  473  448  423

Miscellaneous forest products a  583  651  603  688  741  734Miscellaneous forest products  a  583  651  603  688  741  734Wood‐based panels

V 33 28 22 21 21 19Wood‐based panels

Veneers  33  28  22  21  21  19Plywood  153  145  138  170  183  184Plywood  153  145  138  170  183  184Particleboard 34 27 20 21 26 27Particleboard  34  27  20  21  26  27Hardboard 28 26 30 40 54 48Hardboard  28  26  30  40  54  48M di d i fib b dMedium density fibreboard  33  41  37  34  36  32ySoftboard and other fibreboards  3  4  3  3  3  2Softboard and other fibreboards  3  4  3  3  3  2Total 284 271 250 289 323 311Total   284  271  250  289  323  311

Paper and paperboardNewsprint 185 173 158 176 91 58p p pNewsprint    185  173  158  176  91  58Printing and writing 1 456 1 468 1 355 1 347 1 217 1 151Printing and writing 1 456 1 468 1 355 1 347 1 217 1 151H h ld d it 137 154 164 185 187 244Household and sanitary  137  154  164  185  187  244yPackaging and industrial  470  481  499  515  543  590Packaging and industrial  470  481  499  515  543  590Total 2 248 2 276 2 175 2 223 2 037 2 043Total  2 248 2 276 2 175 2 223 2 037 2 043

Paper manufactures b 513 590 563 557 486 446Paper manufactures  b  513  590  563  557  486  446dRecovered paper  2  1  1  0  1  1p p

Pulp  285  263  178  180  164  154Pulp  285  263  178  180  164  154Woodchips 2 2 1 2 2 3Woodchips  2  2  1  2  2  3T t l 4 412 4 459 4 200 4 412 4 202 4 116Total  4 412 4 459 4 200 4 412 4 202 4 116

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Includes other paper articles that have had some further processing. Zero used to denote nil or less than $0.5 million.

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Includes other paper articles that have had some further processing. Zero used to denote nil or less than $0.5 million.

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Includes other paper articles that have had some further processing. Zero used to denote nil or less than $0.5 million.

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Includes other paper articles that have had some further processing. Zero used to denote nil or less than $0.5 million.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

a Includes such items as wooden doors, mouldings, packing cases, parquetry flooring, builders carpentry, cork, gums, resins, eucalyptus oils and other miscellaneous wood articles. Excludes wooden furniture. b Includes other paper articles that have had some further processing. Zero used to denote nil or less than $0.5 million.Sources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of AustralasiaSources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of AustralasiaSources: ABARES; Australian Bureau of Statistics; Engineered Wood Products Association of Australasia

Page 134: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

132 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Fisheries exports

TABLE 22 Volume of fisheries products exports Australia

STATISTICS

22 Volume of fisheries products exports Australia22Volumeoffisheriesproductsexports‐Australia2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

kt kt kt kt kt ktEdible aFishEdible  aFish

Li 1 1 1 1 1 0 0 9 0 9 0 8Live    1.1   1.1   1.0   0.9   0.9   0.8Tuna   12.6   11.5   9.5   7.8   8.9   8.9Tuna   12.6   11.5   9.5   7.8   8.9   8.9Salmonids 3.0 6.6 4.0 6.4 5.8 2.6Salmonids   3.0   6.6   4.0   6.4   5.8   2.6Swordfish 0 2 0 4 0 4 0 4 0 5 0 5Swordfish   0.2   0.4   0.4   0.4   0.5   0.5Whi iWhiting   1.3   1.4   1.3   1.8   0.9   0.4gOther fish   5.2   5.8   5.4   5.5   5.1   4.7Other fish   5.2   5.8   5.4   5.5   5.1   4.7

Total fish 23 4 26 8 21 7 22 7 22 0 17 8Total fish    23.4   26.8   21.7   22.7   22.0   17.8

Crustaceans and molluscsRocklobster 9 5 9 6 7 7 7 0 6 9 7 8

Crustaceans and molluscsRocklobster   9.5   9.6   7.7   7.0   6.9   7.8Prawns 4 9 4 8 4 7 6 4 5 4 3 9Prawns   4.9   4.8   4.7   6.4   5.4   3.9Ab lAbalone     3.6   3.3   3.6   3.4   3.1   2.8Scallops   1.1   1.1   1.1   0.6   0.4   0.4Scallops   1.1   1.1   1.1   0.6   0.4   0.4Crabs 1 4 1 3 1 1 1 0 0 8 0 4Crabs   1.4   1.3   1.1   1.0   0.8   0.4Other crustaceans and molluscs 1 1 1 1 1 0 1 2 1 7 2 1Other crustaceans and molluscs   1.1   1.1   1.0   1.2   1.7   2.1

Total crustaceans and molluscs   21.6   21.2   19.2   19.6   18.4   17.5

T t l dibl 45 0 48 0 40 9 42 4 40 5 35 3Total edible   45.0   48.0   40.9   42.4   40.5   35.3

a Includes prepared and preserved.Source: Australian Bureau of Statisticsa Includes prepared and preserved.Source: Australian Bureau of Statisticsa Includes prepared and preserved.Source: Australian Bureau of Statisticsa Includes prepared and preserved.Source: Australian Bureau of Statisticsa Includes prepared and preserved.Source: Australian Bureau of Statistics

Page 135: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

133ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Fisheries exports

TABLE 23 Value of fisheries products exports (fob) Australia

STATISTICSSTATISTICS

2323 Value of fisheries products exports (fob) Australia23Valueoffisheriesproductsexports(fob)Australia2007–08 2008–09 2009–10 2010–11 2011–12 2012–132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mEdiblEdible  FishFish

Live 42 8 46 5 40 4 33 4 32 0 30 7Live   42.8  46.5  40.4  33.4  32.0  30.7Tuna 206 2 176 8 118 5 131 4 162 7 162 6Tuna    206.2  176.8  118.5  131.4  162.7  162.6Salmonids  21.9  47.2  29.6  54.4  41.8  25.4Swordfish 2.3 3.6 4.2 4.5 4.2 3.9Swordfish  2.3  3.6  4.2  4.5  4.2  3.9Whiting 3 0 3 4 3 4 5 0 2 5 1 4Whiting  3.0  3.4  3.4  5.0  2.5  1.4Oth fi h 47 7 55 7 61 6 58 1 46 2 34 2Other fish  47.7  55.7  61.6  58.1  46.2  34.2

Total fish   323.9  333.1  257.8  286.8  289.4  258.2Total fish   323.9  333.1  257.8  286.8  289.4  258.2

Cr staceans and moll scsCrustaceans and molluscsRocklobster  400.7  461.6  399.7  369.3  386.7  447.3Rocklobster  400.7  461.6  399.7  369.3  386.7  447.3Prawns 68.6 82.2 61.5 77.1 66.7 51.8Prawns  68.6  82.2  61.5  77.1  66.7  51.8Abalone 217 2 208 2 216 4 212 0 197 3 185 8Abalone    217.2  208.2  216.4  212.0  197.3  185.8S ll 27 8 33 3 29 5 15 4 15 3 10 8Scallops  27.8  33.3  29.5  15.4  15.3  10.8Crabs  15.7  16.4  13.8  13.4  11.0  8.2Crabs  15.7  16.4  13.8  13.4  11.0  8.2Other crustaceans and molluscs 10 6 9 7 8 5 16 3 34 4 40 3Other crustaceans and molluscs  10.6  9.7  8.5  16.3  34.4  40.3

Total crustaceans and molluscs 740 6 811 4 729 3 703 6 711 3 744 1Total crustaceans and molluscs  740.6  811.4  729.3  703.6  711.3  744.1

Total edible  1 064.5 1 144.5  987.1  990.3 1 000.7 1 002.3Total edible  1 064.5 1 144.5  987.1  990.3 1 000.7 1 002.3

diblNon‐edibleMarine fats and oils  5.5  5.0  4.8  5.4  7.3  10.0Marine fats and oils  5.5  5.0  4.8  5.4  7.3  10.0Fish meal 1 0 1 3 2 1 1 6 0 4 1 0Fish meal  1.0  1.3  2.1  1.6  0.4  1.0Pearls 264 0 366 4 243 9 241 3 206 6 151 5Pearls  a  264.0  366.4  243.9  241.3  206.6  151.5Ornamental fish  1.9  3.4  2.7  2.3  2.3  3.8Ornamental fish  1.9  3.4  2.7  2.3  2.3  3.8Other non‐edible 3.9 7.8 5.5 7.3 9.4 6.5Other non‐edible  3.9  7.8  5.5  7.3  9.4  6.5

Total non‐edible 276 3 384 0 259 0 257 9 226 1 172 8Total non‐edible  276.3  384.0  259.0  257.9  226.1  172.8

Total fisheries products 1 340 8 1 528 5 1 246 1 1 248 2 1 226 8 1 175 1Total fisheries products  1 340.8 1 528.5 1 246.1 1 248.2 1 226.8 1 175.1a Includes items temporarily exported and re‐imported.Source: Australian Bureau of Statisticsa Includes items temporarily exported and re‐imported.Source: Australian Bureau of Statisticsa Includes items temporarily exported and re‐imported.Source: Australian Bureau of Statisticsa Includes items temporarily exported and re‐imported.Source: Australian Bureau of Statisticsa Includes items temporarily exported and re‐imported.Source: Australian Bureau of Statisticsa Includes items temporarily exported and re‐imported.Source: Australian Bureau of Statistics

Page 136: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

134 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Fisheries imports

TABLE 24 Volume of fisheries products imports Australia

STATISTICS

24 Volume of fisheries products imports Australia24VolumeoffisheriesproductsimportsAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

kt kt kt kt kt ktkt kt kt kt kt ktEdible aFishEdible  aFish

TTuna   38.8   38.0   39.9   45.6   40.8   46.9Salmonids   10.2   10.9   9.8   9.9   10.2   11.9Salmonids   10.2   10.9   9.8   9.9   10.2   11.9Hake 6 8 5 7 5 4 6 7 5 3 6 1Hake   6.8   5.7   5.4   6.7   5.3   6.1Swordfish 0 2 0 2 0 2 0 2 0 2 0 2Swordfish   0.2   0.2   0.2   0.2   0.2   0.2

hf hToothfish   0.1   0.1   0.1   0.1   0.1   0.2Herrings   0.9   0.8   0.9   1.0   0.9   1.8Herrings   0.9   0.8   0.9   1.0   0.9   1.8Shark 0 4 0 5 0 6 0 5 0 5 0 5Shark   0.4   0.5   0.6   0.5   0.5   0.5Other fish 79 4 77 2 83 3 83 1 86 6 92 8Other fish   79.4   77.2   83.3   83.1   86.6   92.8

Total fish  b   136.8   133.4   140.3   147.1   144.4   160.5Total fish  bCrustaceans and molluscsCrustaceans and molluscs

Prawns   29.8   26.7   34.5   32.6   37.5   34.8Lobster   0.8   0.5   0.7   0.9   0.9   0.8Lobster   0.8   0.5   0.7   0.9   0.9   0.8Crabs 1 1 1 0 1 2 1 4 1 5 1 5Crabs   1.1   1.0   1.2   1.4   1.5   1.5M l 2 2 2 8 2 4 2 6 2 8 3 7Mussels   2.2   2.8   2.4   2.6   2.8   3.7Scallops   2.5   2.2   2.8   2.6   3.0   3.1Scallops   2.5   2.2   2.8   2.6   3.0   3.1Squid and octopus 15.6 16.8 16.0 15.2 17.0 19.9Squid and octopus   15.6   16.8   16.0   15.2   17.0   19.9Other crustaceans and molluscs 9 4 9 9 9 6 9 4 7 3 4 1Other crustaceans and molluscs   9.4   9.9   9.6   9.4   7.3   4.1

T t l t d ll 61 4 59 9 67 2 64 7 69 8 67 9Total crustaceans and molluscs   61.4   59.9   67.2   64.7   69.8   67.9

Total edible abc 198 3 193 3 207 4 211 8 214 2 228 4Total edible  abc   198.3   193.3   207.4   211.8   214.2   228.4a Includes prepared and preserved. b Excludes live tonnage. c Includes other fisheries products not classified to fish or crustaceans and molluscs.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Excludes live tonnage. c Includes other fisheries products not classified to fish or crustaceans and molluscs.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Excludes live tonnage. c Includes other fisheries products not classified to fish or crustaceans and molluscs.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Excludes live tonnage. c Includes other fisheries products not classified to fish or crustaceans and molluscs.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Excludes live tonnage. c Includes other fisheries products not classified to fish or crustaceans and molluscs.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Excludes live tonnage. c Includes other fisheries products not classified to fish or crustaceans and molluscs.Source: Australian Bureau of Statistics

Page 137: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

135ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Fisheries imports

TABLE 25 Value of fisheries products imports Australia

STATISTICS

25 Value of fisheries products imports Australia25ValueoffisheriesproductsimportsAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mEdible aFishEdible  aFish

TTuna   174.1   223.3   169.3   200.8   205.5   258.2Salmonids   79.1   100.0   85.8   84.4   91.8   118.8Salmonids   79.1   100.0   85.8   84.4   91.8   118.8Hake 32 0 31 0 26 1 27 2 20 9 23 4Hake   32.0   31.0   26.1   27.2   20.9   23.4Swordfish 1 4 1 5 1 8 1 5 1 2 1 7Swordfish   1.4   1.5   1.8   1.5   1.2   1.7

hf hToothfish   0.9   1.0   1.3   1.4   1.3   2.2Herrings   4.6   4.4   4.5   4.3   4.2   5.1Herrings   4.6   4.4   4.5   4.3   4.2   5.1Shark 4 1 4 5 5 6 4 4 4 0 4 6Shark   4.1   4.5   5.6   4.4   4.0   4.6Other fish 415 2 455 5 455 0 443 7 459 6 480 0Other fish   415.2   455.5   455.0   443.7   459.6   480.0

Total fish  b   715.0   824.6   751.5   769.1   788.6   866.5Total fish  bCrustaceans and molluscsCrustaceans and molluscs

Prawns   250.2   270.7   298.7   291.0   350.9   304.8Lobster   14.2   9.8   11.8   15.0   16.0   15.3Lobster   14.2   9.8   11.8   15.0   16.0   15.3Crabs 10 3 11 3 12 4 13 3 15 5 16 8Crabs   10.3   11.3   12.4   13.3   15.5   16.8M l 9 0 12 0 9 3 10 2 11 7 17 1Mussels   9.0   12.0   9.3   10.2   11.7   17.1Scallops   28.1   29.9   33.5   34.5   43.6   41.1Scallops   28.1   29.9   33.5   34.5   43.6   41.1Squid and octopus 45.6 54.3 62.0 74.3 90.4 97.7Squid and octopus   45.6   54.3   62.0   74.3   90.4   97.7Other crustaceans and molluscs 59 8 70 1 66 5 65 3 57 0 40 7Other crustaceans and molluscs   59.8   70.1   66.5   65.3   57.0   40.7

T t l t d ll 417 2 458 1 494 2 503 5 585 1 533 4Total crustaceans and molluscs   417.2   458.1   494.2   503.5   585.1   533.4

Total edible abc 198 3 193 3 207 4 211 8 214 2 228 5Total edible  abc   198.3   193.3   207.4   211.8   214.2   228.5

Non‐ediblePearls d 166 4 320 6 170 8 166 9 138 2 105 4Non ediblePearls d   166.4   320.6   170.8   166.9   138.2   105.4Fish meal 41 2 41 9 51 9 46 7 34 2 43 3Fish meal   41.2   41.9   51.9   46.7   34.2   43.3Ornamental fish   5.4   5.8   4.6   3.9   3.7   4.0Marine fats and oils 27.1 33.9 26.8 31.0 39.5 39.1Marine fats and oils   27.1   33.9   26.8   31.0   39.5   39.1Other marine products 25 6 24 9 14 9 9 9 17 1 29 0Other marine products   25.6   24.9   14.9   9.9   17.1   29.0

Total non‐edible   265.7   427.1   269.0   258.4   232.8   220.7Total non edible   265.7   427.1   269.0   258.4   232.8   220.7

l fi h i dTotal fisheries products  1 394.3  1 706.5  1 512.9  1 529.7  1 606.6  1 648.3pa Includes prepared and preserved. b Includes live value. c Includes other fisheries products not classified to fish or crustaceans and molluscs. dMainly re‐imports.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Includes live value. c Includes other fisheries products not classified to fish or crustaceans and molluscs. dMainly re‐imports.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Includes live value. c Includes other fisheries products not classified to fish or crustaceans and molluscs. dMainly re‐imports.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Includes live value. c Includes other fisheries products not classified to fish or crustaceans and molluscs. dMainly re‐imports.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Includes live value. c Includes other fisheries products not classified to fish or crustaceans and molluscs. dMainly re‐imports.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Includes live value. c Includes other fisheries products not classified to fish or crustaceans and molluscs. dMainly re‐imports.Source: Australian Bureau of Statistics

a Includes prepared and preserved. b Includes live value. c Includes other fisheries products not classified to fish or crustaceans and molluscs. dMainly re‐imports.Source: Australian Bureau of Statistics

Page 138: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

136 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Agricultural exports

TABLE 26 Agricultural exports to Japan (fob) a Australia

STATISTICS

26 A l l (f b)26AgriculturalexportstoJapan(fob)aAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 13

26AgriculturalexportstoJapan(fob)aAustralia2007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$ $ $ $ $ $$m $m $m $m $m $mFFarm

d l dGrains and oilseedsWinter crops

barley  b  234  335  284  260  316  257barley  bcanola  70  65  109  41  47  72lupins  4  9  9  9  9  7lupinswheat  c  289  434  498  408  395  392wheat  c  289  434  498  408  395  392

Summer cropscottonseed  8  16  31  24  31  36

Summer cropscottonseed  8  16  31  24  31  36grain sorghum  25  319  70  105  219  202grain sorghum  25  319  70  105  219  202other grains d 3 2 3 3 3 10other grains  d 3 2 3 3 3 10other oilseeds e 6 4 1 1 1 1other oilseeds  e  6  4  1  1  1  1

Total grains and oilseeds 638 1 184 1 005 852 1 021 978Total grains and oilseeds  638 1 184 1 005  852 1 021  978

I d t i lIndustrial cropsRaw cotton  g  47  39  31  48  63  28Sugar  129  192  190  194  211  221 sgWine  49  54  43  44  45  42Total industrial crops  225  285  264  286  319  291pHorticultureFruit 81 70 61 70 59 63HorticultureFruit  81  70  61  70  59  63Tree nuts 13 15 17 16 20 23Tree nuts  13  15  17  16  20  23Vegetables 42 49 34 47 43 43Vegetables  42  49  34  47  43  43Nursery 5 6 4 4 3 3Nursery  5  6  4  4  3  3Other horticulture h 4 4 5 7 6 4Other horticulture  h  4  4  5  7  6  4Total horticulture 146 144 121 143 131 134Total horticulture  146  144  121  143  131  134Other crops and crop products 44 61 47 54 47 50Other crops and crop products  44  61  47  54  47  50

Total crops 1 053 1 674 1 437 1 334 1 517 1 453p 1 053 1 674 1 437 1 334 1 517 1 453

Meat and live animalsBeef and veal 1 794 2 066 1 682 1 667 1 549 1 435Meat and live animalsBeef and veal  1 794 2 066 1 682 1 667 1 549 1 435Live cattle i 18 14 15 16 20 15Live cattle  i  18  14  15  16  20  15Lamb 53 67 52 60 63 54Lamb  53  67  52  60  63  54Mutton 28 39 24 26 24 17Mutton  28  39  24  26  24  17Oth t d li i l j 10 5 6 2 2 1Other meat and live animals  j 10 5 6 2 2 1

l d l lTotal meat and live animals 1 903 2 191 1 779 1 771 1 657 1 522

Wool Greasy 0 2 4 9 12 8Wool Greasy 0 2 4 9 12 8Semi‐processed 17 12 12 23 26 21Semi‐processed  17  12  12  23  26  21Skins 5 3 1 1 2 1Skins  5  3  1  1  2  1Total 22 17 17 33 39 30Total  22  17  17  33  39  30

Dairy productsB tt 17 11 2 6 9 4Dairy productsButter  17  11  2  6  9  4Ch 427 399 358 356 423 415Cheese  427  399  358  356  423  415Casein  38  44  26  22  21  17Skim milk powder  10  22  3  2  2  5Whole milk powder 0 0 0 0 1 0pOther dairy products  53  46  44  37  44  65y pTotal dairy product exports  545  521  433  423  500  506y p pOther livestock exports 394 438 323 339 303 297Other livestock exports  394  438  323  339  303  297Total livestock exports 2 864 3 167 2 552 2 567 2 500 2 355Total livestock exports 2 864 3 167 2 552 2 567 2 500 2 355Total agricultural exports 3 917 4 841 3 989 3 901 4 017 3 808Total agricultural exports 3 917 4 841 3 989 3 901 4 017 3 808

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed.  g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes other meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

Page 139: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

137ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Agricultural exports

TABLE 27 Agricultural exports to the United States (fob) a Australia STATISTICS

27 A l l h d S (f b)27AgriculturalexportstotheUnitedStates(fob)aAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 13

27AgriculturalexportstotheUnitedStates(fob)aAustralia2007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$ $ $ $ $ $$m $m $m $m $m $mFFarm

d l dGrains and oilseedsWinter crops

barley  b 0 0 0 0 0 8barley  bchickpeas 1 2 1 2 2 2p

Summer cropscottonseed 0 0 10 0 20 50

p0 0 10 0 20 50

other grains  c 1 1 1 1 0 0gother oilseeds  d 0 0 0 0 0 0

Total grains and oilseeds  3  2  12  3  22  61Total grains and oilseeds  3  2  12  3  22  61

Industrial cropsRaw cotton e 0 0 0 0 0 0Industrial cropsRaw cotton  e 0 0 0 0 0 0Sugar 43 66 58 85 120 73 sSugar  43    66    58    85    120    73 sWine 734 762 627 524 493 483Wine  734  762  627  524  493  483Total industrial crops 777 829 685 609 613 556Total industrial crops  777  829  685  609  613  556

i lF itHorticultureFruit  65  60  67  33  33  25TTree nuts  15  20  22  12  15  28

blVegetables 7 10 8 7 8 6Nursery  4  4  3  2  2  2yOther horticulture  g  19  18  14  16  15  19g  19  18  14  16  15  19Total horticulture  110  111  114  70  72  80 110  111  114  70  72  80Other crops and crop products  93  174  167  168  142  191Other crops and crop products  93  174  167  168  142  191Total crops 984 1 116 978 851 849 887Total crops  984 1 116  978  851  849  887

M d li i lB f d lMeat and live animalsBeef and veal   925 1 225  817  704  896  960L bLamb  313  354  303  335  305  295M ttMutton  45  35  32  38  21  34O h d li i lOther meat and live animals  h 0 0 0 0 0 0Total meat and live animals 1 283 1 615 1 152 1 077 1 222 1 289

WoolGreasy 9 7 9 11 8 7Wool Greasy 9 7 9 11 8 7Semi‐processed 2 1 3 3 3 2Semi‐processed  2  1  3  3  3  2Skins 0 0 0 0 0 0Skins 0 0 0 0 0 0Total 11 8 12 14 11 9Total  11  8  12  14  11  9

D i dDairy productsButter  10  19  10  3  7  13Cheese  37  60  20  12  3  11Casein  42  29  23  13  7  9Skim milk powder 7 0 0 0 0 0pWhole milk powder  9  8  9  4  4  5Whole milk powderOther dairy products  10  10  13  17  15  16Other dairy products  10  10  13  17  15  16Total dairy product exports  115  126  74  50  35  53Total dairy product exports  115  126  74  50  35  53

Other livestock exports 105 125 116 125 115 136Other livestock exports  105  125  116  125  115  136Total livestock exports 1 514 1 874 1 354 1 266 1 383 1 487Total livestock exports 1 514 1 874 1 354 1 266 1 383 1 487Total agricultural exports 2 498 2 990 2 332 2 117 2 232 2 374Total agricultural exports 2 498 2 990 2 332 2 117 2 232 2 374

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes grains not separately listed. d Includes oilseeds not separately listed. e Excludes cotton waste and linters. g Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. h Includes meat and live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

Page 140: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

138 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Agricultural exports

TABLE 28 Agricultural exports to China (fob) a Australia

STATISTICS

28 A l l Ch (f b)28AgriculturalexportstoChina(fob)aAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 13

28AgriculturalexportstoChina(fob)aAustralia2007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$ $ $ $ $ $$m $m $m $m $m $mFFarm

d l dGrains and oilseedsWinter crops

barley  b 295 235 280 311 454 455barley  bcanola 0 21 0 0 0 249wheat  c 22 42 219 144 457 357wheat  c

Summer cropsgrain sorghum 0 0 14  14  4  98

Summer cropsgrain sorghum 0 0 14  14  4  98other grains d 0 0 1 0 1 6other grains  d 0 0 1 0 1 6other oilseeds e 1 2 1 45 116 95other oilseeds  e  1  2  1  45  116  95

Total grains and oilseeds 318 300 514 514 1 032 1 260Total grains and oilseeds  318  300  514  514 1 032 1 260

Industrial cropsR 164 165 274 551 1 812 1 849Industrial cropsRaw cotton  g  164  165  274  551 1 812 1 849Sugar  15  3  4  31  21  2 sWine  61  95  144  178  209  241Total industrial crops  240  263  421  760 2 041 2 093pHorticultureFruit  8  6  6  8  10  28HorticultureFruit  8  6  6  8  10  28Tree nuts  12  14  8  6  11  36Tree nuts  12  14  8  6  11  36Vegetables 2 1 6 4 6 4Vegetables 2 1 6 4 6 4Nursery 0 0 0 1  1 0Nursery 0 0 0 1  1 0Other horticulture  h  2  3  4  3  4  4Other horticulture  h  2  3  4  3  4  4Total horticulture 24 23 25 23 32 72Total horticulture  24  23  25  23  32  72Other crops and crop products 25 7 7 8 22 30Other crops and crop products  25  7  7  8  22  30Total crops 607 593 967 1 305 3 127 3 455Total crops  607  593  967 1 305 3 127 3 455

Meat and live animalsBeef and veal   10  20  17  28  40  406Live cattle  i 0 0 5  4 0 0Lamb  37  34  34  63  73  108 37  34  34  63  73  108Mutton  5  9  13  12  14  102 5  9  13  12  14  102Other meat and live animals  j 0 0 0 0 0 1Other meat and live animals  j 0 0 0 0 0 1Total meat and live animals 52 64 69 107 127 616Total meat and live animals  52  64  69  107  127  616

WoolG 1 455 1 328 1 460 1 864 1 925 1 844Wool Greasy 1 455 1 328 1 460 1 864 1 925 1 844S i d 28 55 62 21 24 18Semi‐processed  28  55  62  21  24  18SkiSkins  265  271  257  351  369  337T t lTotal 1 748 1 654 1 779 2 235 2 319 2 200

Dairy productsButter  4  3  5  4  7  6Dairy productsButter  4  3  5  4  7  6Cheese  18  14  23  30  37  44Cheese  18  14  23  30  37  44Casein 4 5 7 1 1 1Casein  4  5  7  1  1  1Skim milk powder 34 39 22 37 50 35Skim milk powder  34  39  22  37  50  35Whole milk powder 21 48 38 52 11 56Whole milk powder  21  48  38  52  11  56Other dairy products 58 54 45 35 58 68Other dairy products  58  54  45  35  58  68Total dairy product exports 139 164 139 159 164 210Total dairy product exports  139  164  139  159  164  210

O h li k 80 20 603 660 60Other livestock exports  480  520  603  660  747  760l li kTotal livestock exports 2 420 2 401 2 591 3 161 3 357 3 786

Total agricultural exports 3 027 2 995 3 558 4 466 6 484 7 241a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

a ABARES has revised the calculation method for the value of farm exports series back to 1988–89. b Includes the grain equivalent of malt. c Includes the grain equivalent of wheat flour. d Includes grains not separately listed. e Includes oilseeds not separately listed. g Excludes cotton waste and linters. h Other horticulture includes mainly coffee, tea, spices, essential oils and other miscellaneous horticultural products. i Excludes breeding stock. j Includes meat and other live animals not listed separately. s ABARES estimate.Sources: ABARES; Australian Bureau of Statistics; Department of Agriculture

Page 141: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

139ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

TABLE 29 Value of Australian forest products trade, by selected countries

STATISTICS

29 Value of Australian forestry products trade by selected countries29ValueofAustralianforestryproductstrade,byselectedcountries2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mExports

China 360 390 394 544 534 475Exports

China  360  390  394  544  534  475Hong Kong  54  51  68  42  39  16g gJapan  965  860  774  745  579  394Japan  965  860  774  745  579  394Korea Rep of 91 103 48 40 40 33Korea, Rep. of  91  103  48  40  40  33Malaysia 57 78 82 106 112 75Malaysia  57  78  82  106  112  75New Zealand  375  324  319  314  306  268Taiwan  88  77  88  79  68  68Taiwan  88  77  88  79  68  68

I tImportsChina  547  611  624  680  797  910China  547  611  624  680  797  910Finland 272 274 171 143 120 205Finland  272  274  171  143  120  205Germany 178 167 178 183 147 134Germany  178  167  178  183  147  134dIndonesia  336  374  351  332  342  313

Malaysia  209  215  217  228  233  223Malaysia  209  215  217  228  233  223New Zealand 790 744 703 715 634 556New Zealand  790  744  703  715  634  556U it d St t 289 320 313 285 297 303United States  289  320  313  285  297  303

Source: Australian Bureau of StatisticsSource: Australian Bureau of StatisticsSource: Australian Bureau of StatisticsSource: Australian Bureau of Statistics

Forestry trade

Page 142: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

140 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Fisheries trade

TABLE 30 Value of Australian fisheries products trade, by selected countries Australia

STATISTICS

30 Value of Australian fishery products trade by selected countries Australia30ValueofAustralianfisheryproductstrade,byselectedcountriesAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$ $ $ $ $ $ExportsExports

Edible (including live)H K 46 0 30 426 4 9 31Edible (including live)Hong Kong  467  570  530  426  479  317g gVietnam  8  3  4  8  60  293Vietnam  8  3  4  8  60  293Japan 328 302 215 226 255 236Japan  328  302  215  226  255  236China 26 30 43 143 59 45China  26  30  43  143  59  45SiSingapore  40  44  37  41  42  31g pUnited States  73  65  49  36  23  18United States  73  65  49  36  23  18Taiwan 45 54 33 30 18 10Taiwan  45  54  33  30  18  10Thailand 8 7 9 16 18 9Thailand  8  7  9  16  18  9New Zealand  12  9  17  10  10  9Malaysia  8  13  9  13  8  8Malaysia  8  13  9  13  8  8Indonesia 4 5 7 9 6 7Indonesia  4  5  7  9  6  7

Non‐edibleHong Kong 128 201 138 145 97 54Non edibleHong Kong  128  201  138  145  97  54Japan 53 64 50 43 44 33Japan  53  64  50  43  44  33

i dUnited States  24  22  15  8  22  21

Imports aImports  adibl ( l di li )Edible (excluding live)Thailand                                  295  368  322  340  362  400

( g )Thailand                                  295  368  322  340  362  400New Zealand 198 207 212 210 197 206New Zealand                               198  207  212  210  197  206China 132 152 173 186 231 196China                                     132  152  173  186  231  196ViVietnam  142  167  153  162  174  163Malaysia                                  55  65  63  71  73  81Malaysia                                  55  65  63  71  73  81United States 29 49 37 40 45 52United States  29  49  37  40  45  52Indonesia 23 31 39 28 36 51Indonesia                                 23  31  39  28  36  51Taiwan                                    32  33  37  39  39  48South Africa 24 23 30 28 31 35South Africa                              24  23  30  28  31  35Denmark 19 24 24 19 25 32Denmark                                   19  24  24  19  25  32N 21 20 27 25 27 30Norway                                    21  20  27  25  27  30Other  41  36  36  33  32  36Other  41  36  36  33  32  36

a Country details for non‐edible imports are not available.Source: Australian Bureau of Statisticsa Country details for non‐edible imports are not available.Source: Australian Bureau of Statisticsa Country details for non‐edible imports are not available.Source: Australian Bureau of Statisticsa Country details for non‐edible imports are not available.Source: Australian Bureau of Statistics

Page 143: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

141ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Food exports

TABLE 31 Food exports by level of transformation Australia31 Australian food exports by level of transformation Australia31AustralianfoodexportsbyleveloftransformationAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mMinimally transformedLive animals except fish 761 924 924 924 787 564Minimally transformedLive animals except fish  761  924  924  924  787  564Fi h h llfi h 646 747 650 667 721 763Fish or shellfish  646  747  650  667  721  763HorticultureHorticultureVegetables 137 152 150 166 152 152Vegetables  137  152  150  166  152  152Fruit and nuts 433 563 472 368 450 634Fruit and nuts  433  563  472  368  450  634

lTotal  571  716  622  534  602  785Grains a 4 221 6 383 4 632 6 765 8 793 8 597Grains  a 4 221 6 383 4 632 6 765 8 793 8 597Oilseeds 346 644 657 973 1 555 2 340Oilseeds  346  644  657  973 1 555 2 340Food nec 41 49 43 50 52 78Food nec  41  49  43  50  52  78

b i ll d l b l f dSubstantially and elaborately transformedy yMeatMeat processing 6 506 7 411 6 313 6 887 7 068 7 595MeatMeat processing 6 506 7 411 6 313 6 887 7 068 7 595P lt i 32 43 36 38 45 43Poultry processing  32  43  36  38  45  43Bacon, ham and smallgoods  33  47  54  57  87  104Bacon, ham and smallgoods  33  47  54  57  87  104Total 6 571 7 501 6 403 6 983 7 201 7 741Total 6 571 7 501 6 403 6 983 7 201 7 741Seafood 420 399 338 324 281 240Seafood  420  399  338  324  281  240D iDairyMilk and cream processing 1 258 1 354  880 1 107 1 065  997Milk and cream processing 1 258 1 354  880 1 107 1 065  997Ice cream 37 31 31 33 27 16Ice cream  37  31  31  33  27  16Cheese 968 796 715 731 751 784Cheese  968  796  715  731  751  784h d dOther dairy products  499  497  440  451  422  401y p

Total 2 763 2 679 2 066 2 322 2 264 2 198Total 2 763 2 679 2 066 2 322 2 264 2 198Fruit and vegetables 568 575 523 571 625 668Fruit and vegetables  568  575  523  571  625  668Oil and fat 239 303 289 293 317 326Oil and fat  239  303  289  293  317  326l ll d l f dFlour mill and cereal foodFlour mill products  315  419  365  344  313  347Flour mill products  315  419  365  344  313  347Cereal food and baking mix 287 390 445 614 880 955Cereal food and baking mix  287  390  445  614  880  955T t l 602 809 811 958 1 193 1 302Total  602  809  811  958 1 193 1 302Bakery productsBread, cake and pastry 26 25 26 22 22 26Bakery productsBread, cake and pastry  26  25  26  22  22  26Biscuit 118 127 135 134 129 118Biscuit  118  127  135  134  129  118T l 144 1 2 161 1 1 0 144Total  144  152  161  155  150  144Other foodSugar a 1 035 1 374 1 924 1 479 1 600 1 439Other foodSugar a 1 035 1 374 1 924 1 479 1 600 1 439Confectionery 237 269 260 252 240 207Confectionery  237  269  260  252  240  207

lTotal 2 366 3 065 3 607 3 091 3 469 3 519Beverage and maltSoft drink cordial and syrup 38 45 55 61 63 61Beverage and maltSoft drink, cordial and syrup  38  45  55  61  63  61B d lt 335 447 406 318 372 378Beer and malt  335  447  406  318  372  378Wine 2 700 2 493 2 188 2 009 1 910 1 867WineSpirit  86  105  101  97  103  144Spirit  86  105  101  97  103  144Total 3 159 3 091 2 750 2 485 2 447 2 450Total 3 159 3 091 2 750 2 485 2 447 2 450T t l f d d bTotal food and beverageMinimally transformed 6 585 9 462 7 528 9 913 12 510 13 128Minimally transformed 6 585 9 462 7 528 9 913 12 510 13 128Substantially transformed 16 508 18 224 16 587 16 836 17 612 18 271Substantially transformed 16 508 18 224 16 587 16 836 17 612 18 271Elaborately transformed 324 350 362 346 335 316Elaborately transformed  324  350  362  346  335  316Total 23 418 28 037 24 476 27 095 30 458 31 716

a Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified.Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified.Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified.Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified.Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified.Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified.Sources: ABARES; Australian Bureau of Statistics

Page 144: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

142 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Food imports

TABLE 32 Food imports by level of transformation Australia

STATISTIC

32 Australian food imports by level of transformation Australia32AustralianfoodimportsbyleveloftransformationAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$ $ $ $ $ $Minimally transformedLive animals except fish 1 2 1 2 1 1Minimally transformedLive animals except fish  1  2  1  2  1  1Fi h h llfi h 65 67 72 73 67 72Fish or shellfish  65  67  72  73  67  72HorticultureVegetables 53 49 58 76 64 72Vegetables  53  49  58  76  64  72Fruit and nuts 216 225 262 245 290 285Fruit and nuts  216  225  262  245  290  285T t l 269 274 320 322 354 356Total  269  274  320  322  354  356Grains  2  2  3  4  6  8Grains  2  2  3  4  6  8Oilseeds 49 49 36 36 41 46Oilseeds  49  49  36  36  41  46Food nec 188 224 228 304 348 300Food nec  188  224  228  304  348  300S b t ti ll d l b t l t f dSubstantially and elaborately transformedMeat

y y

Meat processing 381 525 497 478 493 540MeatMeat processing  381  525  497  478  493  540Poultry processing 0 0 0 0 0 0Poultry processing  0  0  0  0  0  0Bacon, ham and smallgoods  50  68  82  90  112  119, gTotal  431  593  579  567  606  659Total  431  593  579  567  606  659Seafood 1 095 1 249 1 201 1 231 1 348 1 400Seafood 1 095 1 249 1 201 1 231 1 348 1 400DairyDairyMilk and cream processing  67  69  66  72  75  61Milk and cream processingIce cream 37 39 40 44 45 45Ice cream  37  39  40  44  45  45Cheese 377 365 360 398 408 388Cheese  377  365  360  398  408  388Oth d i d t 176 157 150 180 227 195Other dairy products  176  157  150  180  227  195y pTotal  656  631  615  694  755  689Total  656  631  615  694  755  689Fruit and vegetables 1 386 1 556 1 361 1 478 1 742 1 631Fruit and vegetables 1 386 1 556 1 361 1 478 1 742 1 631Oil and fat 489 578 485 517 516 522Oil and fat  489  578  485  517  516  522Fl ill d l f dFlour mill and cereal foodFlour mill products  66  83  66  48  53  60Flour mill products  66  83  66  48  53  60Cereal food and baking mix 462 576 577 523 504 534Cereal food and baking mix  462  576  577  523  504  534Total 527 659 643 572 557 594Total  527  659  643  572  557  594

k dBakery productsBread, cake and pastry  175  197  191  222  242  282

y pBread, cake and pastry  175  197  191  222  242  282Biscuit 162 179 178 191 206 229Biscuit  162  179  178  191  206  229T t l 337 376 369 413 448 511Total  337  376  369  413  448  511Other foodSugar 22 44 71 125 95 73Sugar  22  44  71  125  95  73Confectionery 438 518 525 547 576 588Confectionery  438  518  525  547  576  588

d 1 221 1 430 1 396 1 460 1 583 1 745Food nec 1 221 1 430 1 396 1 460 1 583 1 745Total 1 681 1 992 1 992 2 131 2 255 2 406Total 1 681 1 992 1 992 2 131 2 255 2 406Beverage and maltSoft drink cordial and syrup 697 791 798 818 898 928Beverage and maltSoft drink, cordial and syrup  697  791  798  818  898  928

d lBeer and malt  161  226  212  196  219  274Wine  454  502  477  490  554  602Wine  454  502  477  490  554  602Spirit 491 530 538 544 571 568Spirit  491  530  538  544  571  568Total 1 802 2 050 2 026 2 048 2 243 2 373Total 1 802 2 050 2 026 2 048 2 243 2 373

l f d d bTotal food and beverageMinimally transformed  573  618  660  741  818  784

gMinimally transformed  573  618  660  741  818  784Substantially transformed 8 008 9 254 8 836 9 205 9 989 10 270Substantially transformed 8 008 9 254 8 836 9 205 9 989 10 270El b t l t f d 396 429 434 445 481 515Elaborately transformed  396  429  434  445  481  515Total 8 978 10 301 9 930 10 391 11 288 11 569Total 8 978 10 301 9 930 10 391 11 288 11 569a Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified. Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified. Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified. Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified. Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified. Sources: ABARES; Australian Bureau of Statisticsa Includes ABARES estimates where ABS confidentiality restrictions apply. nec not elsewhere classified. Sources: ABARES; Australian Bureau of Statistics

Page 145: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

143ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Food trade

TABLE 33 Total food exports, by selected destination Australia

STATISTICS

2007–08 2008–09 2009–10 2010–11 2011–12 2012–13$m $m $m $m $m $m

Canada  402  380  335  332  328  339China    917 1 178 1 426 1 550 2 076 3 007Egypt  174 315  266 402 387 348Germany  162 153  109 263 262 197Hong Kong  857 1 082  997 890 1 024 912Indonesia 1 702 2 652 2 129 2 288 2 271 2 330Japan 4 553 5 517 4 278 4 213 4 415 4 289Korea, Rep. of 1 655 1 873 1 925 1 995 2 314 2 156Malaysia  799 1 231  853 851 879 923New Zealand 1 303 1 406 1 323 1 300 1 393 1 396Philippines  308 563  318 503 679 643Saudi Arabia 1 144 1 020  566 500 842 810Singapore  712 792  722 742 799 788Taiwan  574 671  613 627 628 634Thailand  393 626  424 539 725 563United Arab Emirates  445 567  528 581 600 846United Kingdom 1 136 1 005  784 685 614 598United States 2 552 3 054 2 379 2 165 2 285 2 421Other 3 631 3 951 4 503 6 670 7 936 8 517Total 23 418 28 037 24 476 27 095 30 458 31 716

33Australiantotalfoodexports,byselecteddestinationAustralia

Sources: ABARES; Australian Bureau of Statistics

STATISTICS

34 Australian total food imports by selected source Australia34Australiantotalfoodimports,byselectedsourceAustralia2007 08 2008 09 2009 10 2010 11 2011 12 2012 132007–08 2008–09 2009–10 2010–11 2011–12 2012–13

$m $m $m $m $m $m$m $m $m $m $m $mBrazil 129 150 110 148 176 126Brazil  129  150  110  148  176  126Canada 220 268 234 219 210 185Canada  220  268  234  219  210  185China  a  617  754  708  750  841  835China  aFrance  278  281  281  297  332  382France  278  281  281  297  332  382India 156 175 164 167 222 212India  156  175  164  167  222  212I d i 158 202 189 191 190 212Indonesia  158  202  189  191  190  212Ireland  536  559  585  252  89  77Ireland 536 559 585 5 89 77Italy 436 494 463 430 469 487Italy  436  494  463  430  469  487Malaysia 354 459 392 455 456 424Malaysia  354  459  392  455  456  424N th l d 182 220 197 200 275 311Netherlands  182  220  197  200  275  311New Zealand 1 671 1 684 1 801 1 895 2 047 2 060New Zealand 1 671 1 684 1 801 1 895 2 047 2 060Papua New Guinea 36 45 44 57 59 37Papua New Guinea  36  45  44  57  59  37Singapore 155 205 194 539 792 797Singapore  155  205  194  539  792  797

iSpain  173  153  186  171  158  172pThailand  547  702  689  759  741  784Thailand  547  702  689  759  741  784United Kingdom 295 314 331 324 347 382United Kingdom  295  314  331  324  347  382United States 803 994 893 959 1 139 1 231United States  803  994  893  959 1 139 1 231Vietnam  250  297  280  303  344  328Other 1 981 2 346 2 191 2 275 2 401 2 527Other 1 981 2 346 2 191 2 275 2 401 2 527Total 8 978 10 301 9 930 10 391 11 288 11 569Total 8 978 10 301 9 930 10 391 11 288 11 569

a Excludes imports from Hong Kong.Sources: ABARES; Australian Bureau of Statisticsa Excludes imports from Hong Kong.Sources: ABARES; Australian Bureau of Statisticsa Excludes imports from Hong Kong.Sources: ABARES; Australian Bureau of Statisticsa Excludes imports from Hong Kong.Sources: ABARES; Australian Bureau of Statisticsa Excludes imports from Hong Kong.Sources: ABARES; Australian Bureau of Statistics

TABLE 34 Total food imports, by selected source country Australia

Page 146: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

144

ABARES reports released since Agricultural commodities (vol. 3 no. 3 September quarter 2013)Following is a selection of ABARES reports released since publication of Agricultural commodities in September 2013. A brief description of each report is provided. While not comprehensive, the selection provides an overview of the range of interests ABARES covers.

All reports can be downloaded from daff.gov.au/abares/publications.

For more information contact [email protected].

Research reportsWhat Asia wants: long-term food consumption trends in Asia

Research report 13.12Publication date: 10 October 2013

This report is the first What Asia wants study. It assesses future trends in Asian food demand and identifies opportunities for Australian agriculture and food industries in expanding Asian markets over the long term.

Potential socio-economic impacts of an outbreak of foot-and-mouth disease in Australia

Research report 13.11Publication date: 11 October 2013

Authors: Benjamin Buetre, Santhi Wicks, Heleen Kruger, Niki Millist, Alasebu Yainshet, Graeme Garner, Alixaandrea Duncan, Ali Abdalla, Charlene Trestrail, Marco Hatt, Lyndal-Joy Thompson and Michael Symes

This report shows that an outbreak of foot-and-mouth disease in Australia could inflict large economic costs on both livestock producers and other industries within and beyond the outbreak area, with financial losses and eradication activities also having social effects.

Report extracts

Page 147: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Infrastructure and Australia’s food industry: preliminary economic assessment

Research report 13.13Publication date: 5 November 2013

Authors: Nga Nguyen, Lindsay Hogan, Kenton Lawson, Peter Gooday, Richard Green, Keely Harris-Adams and Thilak Mallawaarachchi

The report provides a preliminary assessment of the role of economic infrastructure—transport, water, energy and telecommunications facilities—in the development of Australia’s food industry. The study also identifies future work required to assess impediments to infrastructure provision. This work would support growth in Australia’s food production and processing industry.

Technical reportsTowards national reporting on agricultural land use change in Australia

Technical report 13.06Publication date: 11 October 2013

Authors: Jodie Mewett, Justyna Paplinska, Georgina Kelley, Rob Lesslie, Phil Pritchard and Christine Atyeo

The report outlines the extent of agricultural land use in Australia in 2005–06 and describes changes in key agricultural and conservation land uses from 1992–93 to 2005–06, nationally and at the regional scale. The report discusses changes in grazing, cropping, nature conservation and plantation forestry, as well as changes in peri-urban environments.

Improving Australia’s forest area estimate using a Multiple Lines of Evidence approach

Technical report 13.07Publication date: 19 November 2013

Authors: Martin Mutendeudzi, Steve Read, Claire Howell, Stuart Davey and Tim Clancy

This report outlines a new methodology for determining national forest cover statistics for Australia’s National Forest Inventory. The area of forest cover provides the footprint against which many other indicators of sustainable forest management are reported, including forest type and tenure, forest fragmentation, forest ecosystem services, forest production, forest ecosystem health, and investment in forest management.

Report extracts

145

Page 148: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Using enabling technologies to meet demands for food security and sustainability

Technical report 13.08Publication date: 21 November 2013

Authors: Peter Stoutjesdijk and José ten Have

This report examines how biotechnology, nanotechnology and information and communications technology could be used to increase crop production and its sustainability in Australia.

The report was commissioned by the Department of Agriculture under the Commonwealth Government’s National Enabling Technologies Strategy.

Productivity analysis of key Commonwealth fisheries

Technical report 13.09Publication date: 6 December 2013

Authors: Mary Stephan and Simon Vieira

This report provides an indication of productivity trends in the Commonwealth’s most valuable commercial fisheries. These trends reflect how well these fisheries use inputs to produce outputs. When viewed over time, productivity trends can assist in the evaluation of a fishery’s economic performance.

Other reportsWeekly Australian climate, water and agricultural updatePublication date: Every Thursday

The weekly report contains information previously published in the Australian Climate and Agricultural Monthly Update. The combined weekly and monthly updates provide subscribers with improved access to up-to-date climate, water and commodity information in a single report.

Monitoring the recreational take of shark species of relevance to Commonwealth fisheriesPublication date: 26 September 2013

Authors: Katherine Cheshire, Peter Ward, Phil Sahlqvist and Rupert Summerson

The Recreational Fishing Industry Development Strategy study was partly a response to the listing in 2008 of several shark species under the Convention on the Conservation of Migratory Species of Wild Animals (also known as CMS or the Bonn Convention). This had the potential to affect recreational fishing in Australia through automatic listing under the Environment Protection and Biodiversity Conservation Act 1999.

Report extracts

146

Page 149: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Implementation of improvements to the National Livestock Identification System for sheep and goats—consultation regulation impact statementPublication date: 11 October 2013

This statement was prepared in order to seek stakeholder views on the costs and benefits of options for improving the current National Livestock Identification System for sheep and goats.

Prioritising targets for biological control of weeds—a decision support tool for policymakersPublication date: 18 October 2013

Authors: Bertie Hennecke, Lucy Arrowsmith and José ten Have

This report outlines a framework of the overall process of prioritising targets for biological control. It includes a decision support tool that enables policymakers to determine whether biological control is a suitable option for a proposed target species. The report is the result of a workshop with experts in the biocontrol and weed scientific field, state representatives and other relevant stakeholders.

Fishery status reports 2012Publication date: 29 October 2013

The 18th edition of this publication provides an independent evaluation of the biological status of fish stocks and the economic status of fisheries, managed or jointly managed by the Australian Government. The reports assess the biological status of the target and key by-product species in each Commonwealth fishery with respect to their biomass and the level of fish mortality. The economic performance of each fishery is assessed in terms of how they maximise net economic returns to the Australian community. The reports also reviews bycatch or broader environmental issues within the fisheries.

Review of selected regulatory burdens on agriculture and forestry businessesPublication date: 1 November 2013

Authors: Cheryl Gibbs, Keely Harris-Adams and Alistair Davidson

This report identifies areas of Australian Government regulation that impose a burden on rural businesses. Addressing these areas could improve the productivity and profitability of firms in Australia’s agriculture and forestry industries.

Illegal logging regulation: the affected community—analysis of regulated timber product imports and the affected communityPublication date: 4 November 2013

Authors: Mihir Gupta and Beau Hug

The report analyses imports of timber products to Australia in 2011 and 2012 to inform the compliance framework for the Illegal Logging Prohibition Act Amendment Regulation 2013. Key elements of the report are analyses of regulated timber product imports and the affected community. It establishes a baseline of timber imports and characteristics of importers, brokers and import suppliers who together with domestic processors form the community affected by the illegal logging regulation.

Report extracts

147

Page 150: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

Australian fisheries statistics 2012Publication date: 6 November 2013

This annual publication, funded by the Fisheries Research and Development Corporation and ABARES, is designed to meet the data needs of the fishing industry and fisheries managers, policymakers and researchers. Estimates of the gross value of fisheries production are also used to determine Commonwealth, state and territory fisheries research funding arrangements each year.

Australian grains: outlook for 2013–14 and industry productivityPublication date: 15 November 2013

Authors: Beth Deards, David Mobsby, Neil Thompson and Astrid Dahl

This report summarises the September 2013 editions of the Australian crop report and the grains section of Agricultural commodities.

Australian forest and wood products statistics: March and June quarters 2013Publication date: 20 November 2013

This issue includes updated Australian Bureau of Statistics trade data for the March and June quarters of 2013, as well as 2012–13 data for housing and forestry employment. Also included is a summary of the ABARES report Illegal logging regulation: the affected community.

Social indicators for Australia’s forest and wood products industries—discussion paperPublication date: 20 November 2013

Authors: Jacki Schirmer, Bill Binks, Robert Kancans and Nyree Stenekes

This discussion paper proposes a methodology for including social indicators in ABARES Australian forest and wood products statistics series. Methodology was developed based on a desktop review of social research examining Australia’s forest and wood products industries, available data on the social dimensions of the industries and a workshop with industry stakeholders in 2012.

Australian crop reportPublication date: 3 December 2013

This quarterly report forms a consistent and regular assessment of crop prospects for major field crops, forecasts of area, yield and production and a summary of seasonal conditions on a state-by-state basis.

Report extracts

148

Page 151: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

149

Executive Director Karen Schneider [email protected] (02) 6272 4636

Chief Economist Michael Harris [email protected] (02) 6272 2222

Chief Scientist Kim Ritman [email protected] (02) 6272 4671

Adaptation and Biosecurity

Assistant Secretary Helal Ahammad [email protected] (02) 6272 2366

Biosecurity and Adaptation Economics Edwina Heyhoe [email protected] (02) 6272 2109

Agricultural Risks Management Matthew Miller [email protected] (02) 6272 3527

Invasive Species Bertie Hennecke [email protected] (02) 6272 4263

Agricultural Adaptation Sciences Kate Harle [email protected] (02) 6272 3347

Agricultural Commodities and Trade

Assistant Secretary and

Chief Commodity Analyst Jammie Penm [email protected] (02) 6272 2030

Agricultural Trade Caroline Gunning-Trant [email protected] (02) 6272 2123

Agricultural Commodities Peter Collins [email protected] (02) 6272 2017

Commodities Data Dianne Stefanac [email protected] (02) 6272 2311

Research Engagement

and Outlook Anna Carr [email protected] (02) 6272 2287

Farm Analysis, Productivity and Social Sciences

Assistant Secretary Peter Gooday [email protected] (02) 6272 2138

Productivity Alistair Davidson [email protected] (02) 6272 2487

Social Sciences Saan Ecker [email protected] (02) 6272 5930

Infrastructure Tim Goesch [email protected] (02) 6272 2009

Farm Analysis and Survey Collection Milly Lubulwa [email protected] (02) 6272 2069

ABARES contacts

Page 152: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

150 ABARESAgricultural commodities – vol. 3 no. 4 • December quarter 2013

ABARES contacts

150

Agricultural commodities December quarter 2013was designed and produced by the Department of Agriculture and the Agricultural Commodities team of ABARES.

Editors: Julia Church and Jenny Cook

Fisheries and Quantitative Sciences

Assistant Secretary Ilona Stobutzki [email protected] (02) 6272 4277

Domestic Fisheries and

Marine Environment Andrew Penney [email protected] (02) 6272 3726

International Fisheries James Larcombe [email protected] (02) 6272 3388

Fisheries Economics Robert Curtotti [email protected] (02) 6272 2014

Quantitative Sciences Belinda Barnes [email protected] (02) 6272 5374

Natural Resources

Assistant Secretary David Cunningham [email protected] (02) 6272 5954

Forest Sciences Steve Read [email protected] (02) 6272 5582

Forest Economics Beau Hug [email protected] (02) 6272 3929

Land Use and Management Phil Pritchard [email protected] (02) 6272 4193

Spatial Information Evert Bleys [email protected] (02) 6272 5627

Editing, Production,

Online and Design Lawrence Gardner [email protected] (02) 6272 2290

Library Resources Steve Benson [email protected] (02) 6272 4548

Media [email protected] (02) 6272 3232

Publication inquiries [email protected] (02) 6272 2010

Page 153: Agricultural commoditiesdata.daff.gov.au/.../AgCommodities201312_1.0.0.pdf · ABARES 2013, Agricultural commodities: December quarter 2013, Australian Bureau of Agricultural and Resource

daff.gov.au/abares

Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES)

Postal address GPO Box 1563 Canberra ACT 2601

Switchboard +61 2 6272 2010

Facsimile +61 2 6272 2001

Email [email protected]

Web daff.gov.au/abares

Also in this series• Agricultural commodities, September 2012• Agricultural commodities, December 2012• Agricultural commodities, March 2013• Agricultural commodities, June 2013• Agricultural commodities, September 2013

The ‘Biosphere’ Graphic ElementThe biosphere is a key part of the department’s visual identity. Individual biospheres are used to visually describe the diverse nature of the work we do as a department, in Australia and internationally.

ABA

1262

_111

3