7121.0 Agricultural Commodities, Australia (2010-11) · with 2009-10. Beef cattle farming remained...
Transcript of 7121.0 Agricultural Commodities, Australia (2010-11) · with 2009-10. Beef cattle farming remained...
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30Explanatory notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .A D D I T I O N A L I N F O R M A T I O N
27Livestock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .26Grapes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .24Vegetables for human consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . .21Fruit and nuts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .20Cotton . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .19Sugar cane . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .18Broadacre crops . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .16Businesses with agricultural activity, by area . . . . . . . . . . . . . . . . . . . . . . .14Businesses with agricultural activity, by EVAO . . . . . . . . . . . . . . . . . . . . . .13Businesses with agricultural activity, by State . . . . . . . . . . . . . . . . . . . . . .12Land use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
T A B L E S
11Livestock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .8Horticulture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .6Crops . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Industry structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4Land use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
S U M M A R Y O F F I N D I N G S
3Abbreviations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
page
C O N T E N T S
E M B A R G O : 1 1 . 3 0 A M ( C A N B E R R A T I M E ) F R I 2 9 J U N 2 0 1 2
AGRICULTURAL COMMODITIES A U S T R A L I A
7121.02 0 1 0 – 1 1
For further informationabout these and relatedstatistics, contact theNational Information andReferral Service on1300 135 070.
I N Q U I R I E S
w w w . a b s . g o v . a u
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B r i a n P i n k
Au s t r a l i a n S t a t i s t i c i a n
The Agricultural Census produces more detailed data on agricultural commodities and
livestock breakdowns in comparison to the Agricultural Resource Management Survey
(ARMS). For further details refer to the Explanatory Notes.
CH A N G E S IN TH I S I S S U E
This publication contains final estimates for the main commodities collected in the
2010–11 Agricultural Census. Included are statistics on land use, industry activity, crop
and horticultural area and production, and livestock numbers.
Data at sub-state geographies such as Murray Darling Basin (MDB), Natural Resource
Management (NRM) region, Statistical Division (SD), Statistical Local Area (SLA),
Statistical Area 4 (SA4), Statistical Area 2 (SA2), River Basin and Drainage Division
geographical levels will be released as separate datacubes attached to this publication in
August 2012.
Additional content, attached to this publication as data cubes, includes: detailed
commodity data and land use and management data for all states, territories and
Australia.
The estimates in this publication are based on the Australian and New Zealand Standard
Industrial Classification (ANZSIC) 2006 edition, which was adopted for the first time in
2005–06.
Further data from the 2010–11 Agricultural Census collection has been released in Water
Use on Australian Farms (cat. no. 4618.0) and Value of Agricultural Commodities
Produced (cat. no. 7503.0).
AB O U T TH I S PU B L I C A T I O N
2 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
N O T E S
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Western AustraliaWA
VictoriaVic.
TasmaniaTas.
tonnet
statistical local areaSLA
standard errorSE
statistical divisionSD
Statistical Area Level 4SA4
Statistical Area Level 2SA2
South AustraliaSA
relative standard errorRSE
QueenslandQld
Northern TerritoryNT
New South WalesNSW
natural resource managementNRM
not elsewhere classifiedn.e.c.
Murray-Darling BasinMDB
kilogramkg
hectareha
Estimated Value of Agricultural OperationsEVAO
Business Activity StatementBAS
AustraliaAust.
Australian Taxation OfficeATO
Agricultural SurveyAS
Agricultural Resource Management SurveyARMS
Australian and New Zealand Standard Industrial ClassificationANZSIC
Australian Capital TerritoryACT
Australian Bureau of Statistics Business RegisterABSBR
Australian Bureau of StatisticsABS
Australian Business RegisterABR
Australian Business NumberABN
thousand'000
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A B B R E V I A T I O N S
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2001 2003 2005 2007 2009 2011
'000 ha
350000
400000
450000
500000
AREA OF AUSTRAL IAN FARMS, 2000-01—2010-11
Area of farms in Australia increased in 2010-11, by 3% to 409.7 million hectares, in
contrast to the declining trend of the previous five years. Increases in farm area were
recorded in Queensland, South Australia, Tasmania and the Australian Capital Territory,
whereas the remaining states and territories recorded a fall in area.
The area planted to crops in Australia rose by 24% in 2010-11 to 32.1 million hectares. All
states recorded an increase in the area planted to crops, with the largest increase
reported in New South Wales, where cropping area increased by 2.3 million hectares (or
33%) to 9.2 million hectares. Proportionally, the largest increase was in the Northern
Territory, where the cropping area increased by over 400% to 37,000 hectares.
Approximately 53% of Australia's total land area was used for agriculture. On a state
basis, Tasmania had the smallest proportion of farm land (24% of state area) while the
highest was in Queensland (81% of state area).
LA N D US E
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S U M M A R Y O F F I N D I N G S L A N D U S E
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Tables 2 to 4 of this publication categorise businesses with agricultural activity into the
industry that represents the business' main activity, using the Australian and New
Zealand Industrial Classification (ANZSIC), 2006 edition. Where a business' agricultural
activity is not the main activity, it has been included in all other industries. Table 2
presents the information by state and territory, Table 3 by Estimated Value of Agricultural
Operations (EVAO) size ranges and Table 4 presents the information by area of holding
ranges.
In 2010-11, the Agricultural Census revealed that the number of businesses undertaking
agricultural activity had risen to a total of 135,447 businesses, a 1% increase compared
with 2009-10.
Beef cattle farming remained the largest industry class in 2010-11, comprising more than
a third of businesses classified to the agriculture industry. The number of businesses
with the main agricultural activity of sheep and beef cattle farming rose by 13% to 6,659.
Notable movements in 2010-11 were an increase in the number of businesses with
agricultural activity in citrus fruit growing, up by 22% to 1,115 businesses, and a 34%
increase in apple and pear growing, up to 731 businesses.
There was also a large percentage increase in the number of businesses with their main
agricultural activity in rice and cotton farming, increasing by 175% and 136% respectively.
BU S I N E S S E S W I T H
AG R I C U L T U R A L AC T I V I T Y
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S U M M A R Y O F F I N D I N G S I N D U S T R Y S T R U C T U R E
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There was a 9% increase in the total area sown to lupins in 2010-11, with 756,000
hectares sown. The states with the largest area planted to lupins were Western Australia
(522,000 hectares) and New South Wales (128,000 hectares). Likewise, Western Australia
and New South Wales produced the largest amount of lupins, with 398,000 tonnes and
252,000 tonnes respectively. Production decreased nationally by 2% to 808,000 tonnes.
Lupins
The total area sown to sorghum for grain in 2010-11 was 633,000 hectares. This was an
increase of 27% from 2009-10. Queensland's area planted to grain sorghum was the
highest with 435,000 hectares, an increase of 30% from the previous year. Queensland
also recorded the highest production of sorghum (1.2 million tonnes), with an increase
of 28%. Queensland's sorghum production made up 61% of the national total of 1.9
million tonnes. New South Wales also recorded a notable increase in production of 29%
to 748,000 tonnes.
Grain sorghum
The total area sown to barley in 2010-11 decreased by 17% to 3.7 million hectares,
whereas national barley production increased by 2% to 8 million tonnes. Production of
barley increased in all states except Western Australia, down by 39% to 1.5 million
tonnes. New South Wales recorded the highest production of barley (2.2 million tonnes),
which was a 77% increase from the previous year. South Australia and Victoria also
recorded high production levels, with 2.1 million tonnes and 1.9 million tonnes
respectively.
CR O P S FO R GR A I N
Barley
Barley Sorghum Lupins Oats Rice Wheat
t/ha
0
2.5
5.0
7.5
10.0
12.52009-102010-11
YIELD, CROPS FOR GRAIN—2009–10 AND 2010–11
Production increased for a number of broadacre crops in 2010-11, in particular cotton
lint, rice, grain sorghum, wheat and canola. Despite major flooding throughout
Queensland and northern New South Wales, rainfall was positive for summer crop
development and boosted yields; however excessive rain affected some crops in low
lying areas, notably cotton. Yields were generally good across most broadacre crops;
however quality of grain was affected in some states as a result of rainfall during harvest.
In 2010-11, parts of Western Australia reported the driest conditions on record, which
resulted in decreases across all broadacre crops except grain sorghum.
OV E R V I E W
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S U M M A R Y O F F I N D I N G S CR O P S
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In 2010-11, the total area planted to cotton tripled to 588,000 hectares. The states with
the largest area planted to cotton were New South Wales with 330,000 hectares (up by
203%) and Queensland with 259,000 hectares (up by 195%). National production of
cotton lint increased by 140% to 844,000 tonnes. New South Wales and Queensland
reported increases in their cotton lint production, with 133% to 497,000 tonnes and
150% to 346,000 tonnes respectively.
Cotton
The total area planted to sugar cane for crushing decreased by 21% to 308,000 hectares
in 2010-11. Similarly, national production of sugar cane cut for crushing decreased by
19% to 25.2 million tonnes. Total sugar cane production in Queensland decreased by
20% to 23.6 million tonnes, while New South Wales production decreased by 18% to 1.6
million tonnes.
Sugar cane
The total area planted to canola in 2010-11 increased by 23% to 2.1 million hectares.
Similarly, national canola production increased by 24% to 2.4 million tonnes. Production
of canola increased in most states, particularly New South Wales with an increase of
186% to 805,000 tonnes. Western Australia produced the second highest canola crop
with 715,000 tonnes; however this was a decrease of 31% from the previous year. The
states with the largest area planted to canola were Western Australia (1.1 million
hectares), New South Wales (479,000 hectares) and Victoria (323,000 hectares).
OT H E R CR O P S
Canola
In 2010-11, the total area sown to wheat decreased by 3% to 13.5 million hectares. The
states with the largest area planted to wheat were Western Australia (4.6 million
hectares), New South Wales (3.8 million hectares) and South Australia (2.3 million
hectares). Production of wheat for grain in 2010-11 was 27.4 million tonnes, which was
an increase of 26% from the previous year. Wheat production increased across all states
except Western Australia (down by 38%), with the most substantial increases seen in
New South Wales (up by 96%), South Australia (up by 49%) and Victoria (up by 47%).
The highest level of wheat production was recorded by New South Wales, with 10.4
million tonnes.
Wheat
In 2010-11, the total area sown to rice quadrupled to 76,000 hectares compared with the
previous year, due to increased availability of water for irrigation. Similarly, production
increased by 268% to 723,000 tonnes.
New South Wales planted the majority of rice (75,000 hectares), 99% of the national
total.
Rice
In 2010-11, both the area sown and the production level of oats decreased by 3%. The
total area sown to oats for grain was 826,000 hectares and the total production was 1.1
million tonnes. New South Wales and Western Australia were states with the largest area
planted to oats, sowing 321,000 hectares and 255,000 hectares respectively. New South
Wales also recorded the highest level of production with 469,000 tonnes, which was an
increase of 122%. Several states showed a decrease in production in 2010-11, namely
Western Australia (down by 43%), Victoria (down by 21%) and South Australia (down by
14%).
Oats
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S U M M A R Y O F F I N D I N G S CR O P S continued
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Mango production decreased nationally by 17% in 2010-11 to 37,000 tonnes, driven by a
significant decrease in production numbers in New South Wales and Queensland.
Queensland's production, affected by flooding, rainfall and Cyclone Yasi, fell by 34% to
19,000 tonnes and New South Wales's mango production fell by 81% to 83 tonnes.
Queensland and Northern Territory (15,000 tonnes) continued to be the main
contributing states for mango production.
Other fruit and nuts
Australia's total apple production increased by 13% from 2009-10 to 300,000 tonnes. This
was largely influenced by the substantial increase of bearing trees in New South Wales
(up by 27%) and South Australia (up by 54%), resulting in increased production, up by
58% and 37% respectively. Production in Western Australia and Tasmania fell by 22% and
13% respectively. Victoria produced the largest apple crop in Australia with over 129,000
tonnes in 2010-11.
The trend of increasing production of pome fruits in Australia was also exhibited by pear
production, with a 30% increase in 2010-11 from the previous year, to 123,000 tonnes.
The main contributors to this large increase in production were New South Wales (up by
63%), South Australia (up by 41%) and Victoria (up by 34%). The number of pear bearing
trees also increased notably in New South Wales and Victoria, rising by 26% and 17%
respectively. Victoria produced the largest pear crop with over 109,000 tonnes.
Pome
In 2010-11 production of oranges totalled 291,000 tonnes. The decrease of 26% from
2009-10 reflected consistent production decreases in South Australia (down by 30%),
New South Wales (down by 27%) and Victoria (down by 22%). In contrast, the total
number of bearing trees rose by 10% to 7.5 million nationally, evidenced by a substantial
increase in Western Australia (up by 61%) to 265,000 trees.
The total number of bearing mandarin trees increased nationally in 2010-11 by 27% to 1.8
million trees. Production of mandarins also increased by 8% to 98,000 tonnes. A large
decrease in production in New South Wales (down by 20%) was offset by increases in
Queensland (up by 12% to 70,000 tonnes), Victoria (up by 24% to 4,000 tonnes) and
Western Australia (up by 11% to over 2,000 tonnes).
Citrus
(a) Yield is calculated on number of trees and bearing age.
Oranges
Mandarins
Apples
Pears (including Nashi)
Mangoes
Macadamias
0 20 40 60 80kg/tree (a)
2009-102010-11
YIELD, FRUIT AND NUTS— 2009-10 and 2010-11FR U I T
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S U M M A R Y O F F I N D I N G S H O R T I C U L T U R E
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The total production for potatoes in 2010-11 was 1.1 million tonnes. This was a decrease
of 12% from 2009-10.
The national decline was contributed to by Tasmania (252,000 tonnes) down by 24%,
New South Wales (111,000 tonnes) down by 16%, Victoria (237,000 tonnes) down by
14% and Queensland (88,000 tonnes) down by 8%. The total area sown to potatoes in
2010-11 was 32,000 hectares, which was a decrease of 12% from the previous year. South
Australia and Victoria were large growing areas for potatoes at 9,000 hectares and 8,000
hectares respectively.
Potatoes
The total area sown to onions in 2010-11 was 6,000 hectares. This was an increase of 15%
from the previous year. Onions were mainly grown in South Australia (2,000 hectares),
Tasmania (2,000 hectares) and Queensland (1,000 hectares). Production of onions in
2010-11 totalled 331,000 tonnes. In South Australia, production was 130,000 tonnes, a
45% increase from the previous year. Tasmania produced the second largest crop of
onions with 93,000 tonnes. Onion production in Queensland rose by 26% to 37,000
tonnes.
Onions
Mushroom production totalled 50,000 tonnes in 2010-11, a rise of 20% from the previous
year. The largest increases were in Victoria up 20% to 18,000 tonnes, and New South
Wales, also up 20% to 18,000 tonnes offsetting a decrease in mushroom production in
South Australia of 21%, down to just under 3,000 tonnes. Nationally, the area planted to
mushrooms increased by 16% up to 1.6 million square meters.
Mushrooms
National production of carrots in 2010-11 decreased by 16% from 2009-10 to 225,000
tonnes. This is directly correlated with the area sown for carrots in 2010-11, which also
decreased by 16% from the previous year to 5,000 hectares. The states with the highest
carrot production were Western Australia (65,000 tonnes) and Tasmania (54,000 tonnes).
The majority of the carrot producing states displayed a decrease in production levels,
with New South Wales (down by 53%) and Queensland (down by 44%) being the most
notable.
VE G E T A B L E S FO R HU M A N
CO N S U M P T I O N
Carrots
Australia's banana production totalled 203,000 tonnes in 2010-11, which was a decrease
of 33% from 2009-10. This decrease was largely due to the destruction caused by Cyclone
Yasi, which struck in early 2011. The damage caused by this cyclone contributed to the
decrease of 48% in Northern Territory's banana production and 35% in Queensland's
banana production. The total bearing area for bananas fell by 3% to 11,000 hectares.
Macadamia production decreased by 9% in 2010-11 despite an increase in the number of
trees. The national decrease was largely due to adverse seasonal conditions causing
decreased production in New South Wales (down by 14% to 16,000 tonnes) and Western
Australia (down by 50% to 35 tonnes), and only a 1% increase in Queensland to 13,000
tonnes.
In 2010-11, the total bearing area of strawberries increased by 60% to over 2,000
hectares, owing to a 137% increase in bearing area in Victoria, where 40% of Australia's
strawberries were produced. Strawberry production increased by 5% to 31,000 tonnes.
Falls of 23% in New South Wales and 15% in Queensland were more than offset by a 62%
rise in Western Australia's strawberry production.
Other fruit and nuts
continued
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Carrots Onions Potatoes
t/ha
0
20
40
602009-102010-11
YIELD, VEGETABLES—2009–10 AND 2010–11
National production of tomatoes in 2010-11 fell by more than one third to 302,000
tonnes due mainly to heavy rain and flooding in Victoria and New South Wales.
Production declined by 69% in Victoria to 88,000 tonnes and by 14% in New South Wales
to 47,000 tonnes. The national area planted to tomatoes rose by 7% to over 8,000
hectares.
Tomatoes
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Dairy Cattle Meat Cattle Sheep Pigs Poultry
'000
0
20000
40000
60000
80000
1000002009-102010-11
LIVESTOCK—2009–10 AND 2010–11
The total number of chickens for egg production on holdings as at 30 June 2011
increased by 12% to 13.1 million, reversing the previous four year trend of decline. Meat
chicken numbers increased nationally by 9% to 77.6 million, with New South Wales
recording the highest number of meat chickens (29.6 million chickens), 38% of the
national total.
Chickens
Total pig numbers recorded on 30 June 2011 in Australia remained steady at 2.3 million
head. Notable increases in pig numbers were recorded in Western Australia (up by 23%
to 269,000 head), Queensland (up by 10% to 639,000 head), and Tasmania (up by 16% to
13,000 head). However these were offset by a drop in New South Wales of 99,000 (or
17% to 486,000 head).
Pigs
Sheep and lamb numbers increased by 7% from 68.1 million head on 30 June 2010 to
73.1 million head at 30 June 2011. All states recorded an increase in sheep numbers,
except Western Australia, down by 5% to 14.0 million head. The largest increases in
sheep numbers were recorded by South Australia, up by 22% to 11.0 million head and
Tasmania, up by 18% to 2.3 million head. New South Wales recorded the highest number
of sheep with 26.8 million head. During 2010-11, the number of lambs marked in
Australia was reported as 33.3 million, which was an increase of 4% from the previous
year.
Sheep and lambing
Meat cattle recorded on agricultural holdings at 30 June 2011 totalled 25.9 million head,
an increase of 8% since 2009-10. Meat cattle accounted for 91% of the cattle herd in
Australia. Notable increases in meat cattle numbers were recorded in Queensland, by up
11% to 12.5 million, Victoria, up by 14% to 2.4 million and South Australia, up by 23% to
1.1 million.
Meat Catt le
As at 30 June 2011, the number of dairy cattle increased by 1% to 2.6 million head
nationally. Tasmania showed the largest percentage increase in dairy cattle numbers,
with an increase of 16% to 223,000 head. Victoria continued to report the highest
number of dairy cattle (1.6 million head), which was 62% of the national herd. New
South Wales recorded a 6% decrease of dairy cattle compared with 2009-10.
L I V E S T O C K
Dairy catt le
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S U M M A R Y O F F I N D I N G S L I V E S T O C K
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^ estimate has a relative standard error of 10% to less than 25% and should be used with caution(a) Excludes crops harvested for hay and seed, and pastures and grasses.(b) Total area of agricultural businesses with an EVAO of $5,000 or more.(c) Non-agricultural land is the difference between agricultural land as reported in the Agricultural Census, Agricultural Survey or ARMS and
the total land area of the state/territory. It comprises conserved land, forestry, urban and unused land such as vacant Crown land,commercially unused land on Aboriginal and other Crown reserves and waste land, ephemeral lakes and mangrove swamps, as well asestablishments not included in the scope of the Agricultural Census.
(d) Total area of Australia includes Jervis Bay.
769 202236134 9136 840252 98898 348173 06522 74280 064TOTAL LAND
AREA(d)
359 52917879 2425 185164 27345 56233 23010 11621 7382011370 622^19679 2265 193158 59752 60143 3979 89021 5162010360 17319480 8975 210159 34249 22231 85510 65122 7972009
AR E A OF NO N - A G R I C U L T U R A L LA N D (c)
409 673^5855 6711 65588 71552 786139 83512 62658 3262011398 5804055 6871 64794 39145 747129 66812 85258 5482010409 0294254 0161 63093 64649 126141 21012 09157 2672009
AR E A OF FA R M S (b)
32 078^2371339 7075 0363 4664 4899 209201125 968^17668 5644 0802 3213 9896 940201027 51116738 3064 4932 7954 1897 6502009
AR E A PL A N T E D TO CR O P S (a)
'000 ha'000 ha'000 ha'000 ha'000 ha'000 ha'000 ha'000 ha'000 ha
Aust.ACTNTTas.WASAQldVic.NSW
LAND USE— Year ended 30 June1
12 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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(a) The Australian and New Zealand Standard Industrial Classification(ANZSIC) has been used to categorise businesses according totheir main activity. For more information on the ANZSIC, refer tothe Explanatory Notes.
^ estimate has a relative standard error of 10% to less than 25%and should be used with caution
* estimate has a relative standard error of 25% to 50% and shouldbe used with caution
— nil or rounded to zero (including null cells)
135 447755204 07412 50814 04328 40132 35743 470Total All Industries#
14 641^15846111 3431 4312 8293 4194 909All Other Industries99
120 806594363 46311 16512 61225 57228 93838 561Agriculture01
637—3176641113167229Other Livestock Farming n.e.c.0199557*1^215527112183211Beekeeping0193663——1872102176135160Pig Farming0192
4 884^510913641931 3621 0011 859Horse Farming019179—*1^4^6^6^93420Deer Farming0180
3391—^1032254979144Poultry Farming (Eggs)0172765——195162111224297Poultry Farming (Meat)0171
7 573——4732243206654 8371 054Dairy Cattle Farming01601 83411117712897573445402Other Crop Growing n.e.c.0159
853——*1——415—437Cotton Growing01523 487———*1—3 108—378Sugar Cane Growing0151
12 014——^192 0642 4871 1613 0653 218Other Grain Growing0149541———*1—1^2536Rice Growing0146
12 123*1^2312 4982 0441 0422 3664 138Grain-Sheep or Grain-Beef Cattle
Farming0145
6 659^15—2513327144411 6453 260Sheep-Beef Cattle Farming0144470—4^6951819650103Beef Cattle Feedlots (Specialised)0143
38 585182001 1512 0201 35712 5138 02913 298Beef Cattle Farming (Specialised)014211 236^9—5021 3971 6272633 1724 266Sheep Farming (Specialised)0141
2 770—139151821291 211138957Other Fruit and Tree Nut Growing0139304——^105185^127769Olive Growing0137
1 115—^1—98212193137473Citrus Fruit Growing0136841——5711515755232224Stone Fruit Growing0135731*3—741258945260135Apple and Pear Growing0134447——424216102139107Berry Fruit Growing0133
17—————^5^6^6Kiwifruit Growing01325 230^26974992 141891 472924Grape Growing01313 363238302389248936632816Vegetable Growing (Outdoors)0123
730—4206324011866220Vegetable Growing (Under Cover)012293——2*4^432^1535Mushroom Growing0121
457—425563880122132Floriculture Production (Outdoors)0115158—1^6^10^8376036
Floriculture Production (UnderCover)
0114284—2^338^810424106Turf Growing011375714206454169192251Nursery Production (Outdoors)0112209—4^52719643160Nursery Production (Under Cover)0111
no.no.no.no.no.no.no.no.no.
Aust.ACTNTTas.WASAQldVic.NSW
BUSINESSES WITH AGRICULTURAL ACT IV ITY (a) , by State —Year ended 30 June 20112
A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1 13
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** estimate has a relative standard error greater than 50% and is considered toounreliable for general use
— nil or rounded to zero (including null cells)
^ estimate has a relative standard error of 10% to less than 25% and should beused with caution
* estimate has a relative standard error of 25% to 50% and should be used withcaution
11 5338 07814 5167 68211 66420 47022 74531 049Total All Industries#
5253979165771 0392 2073 0245 607All Other Industries99
11 0097 68113 6007 10510 62518 26419 72125 442Total Agriculture01
^6^719^10144189448Other Livestock Farming n.e.c.0199^2114^1032120148230Beekeeping019311352552126735678Pig Farming0192
71702552054789681 0351 770Horse Farming0191—11^3*1^91945Deer Farming018035^23361423402060Poultry Farming (Eggs)0172
1032333^11^12312851Poultry Farming (Meat)01712 0251 3931 692492421407208200Dairy Cattle Farming0160
967517186184313329514Other Crop Growing n.e.c.015912431^18^2*1*2*1^2Cotton Growing0152158211604406626837430173Sugar Cane Growing0151
2 7451 3901 8287449211 114833676Other Grain Growing014911373153764629*1—Rice Growing0146
2 0821 5822 5291 1361 3231 475823536Grain-Sheep or Grain-Beef Cattle
Farming0145
4164491 0025798851 3261 037832Sheep-Beef Cattle Farming0144865274445472*1^2Beef Cattle Feedlots (Specialised)0143
1 2038992 0781 3992 6336 3349 50613 665Beef Cattle Farming (Specialised)01424315241 3249381 3402 2411 9952 291Sheep Farming (Specialised)0141192133263163265517545529Other Fruit and Tree Nut Growing0139^8^59^9^71845196Olive Growing01371218315467118135152150Citrus Fruit Growing0136
644712557101155132110Stone Fruit Growing013512061974150804932Apple and Pear Growing0134
5340522936656052Berry Fruit Growing0133*2——^2^2^3^3*2Kiwifruit Growing0132
1211073152094501 0031 2551 666Grape Growing0131344234429190291428476489Vegetable Growing (Outdoors)0123
12^1224^166089159344Vegetable Growing (Under Cover)0122^12^9^8*1^8^9^8**1Mushroom Growing0121
30145445581139037Floriculture Production (Outdoors)0115^2—^4^5^7^134384
Floriculture Production (UnderCover)
011455285931262214^5Turf Growing01135749107521141529077Nursery Production (Outdoors)0112
^7*2^14^10^13294092Nursery Production (Under Cover)0111
500-999.9350-499.9200-349.9150-199.9100-149.950-99.922.5-49.9
Less
than
22.5
ESTIMATED VALUE OF AGRICULTURAL OPERATIONS ($'000)
BUSINESSES WITH AGRICULTURAL ACT IV ITY , By EVAO —Year ended 30 June 20113
14 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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^ estimate has a relative standard error of 10% to less than 25% and should be used withcaution
* estimate has a relative standard error of 25% to 50% and should be used with caution— nil or rounded to zero (including null cells)
135 4472 6015 108Total All Industries#
14 641113237All Other Industries99
120 8062 4884 871Total Agriculture01
6371*2Other Livestock Farming n.e.c.0199557——Beekeeping019366386102Pig Farming0192
4 884^328Horse Farming019179——Deer Farming0180
3395434Poultry Farming (Eggs)0172765251221Poultry Farming (Meat)0171
7 573131605Dairy Cattle Farming01601 8342641Other Crop Growing n.e.c.0159
853484186Cotton Growing01523 4871526Sugar Cane Growing0151
12 0143051 458Other Grain Growing01495411139Rice Growing0146
12 12385553Grain-Sheep or Grain-Beef Cattle
Farming0145
6 65920113Sheep-Beef Cattle Farming01444704541Beef Cattle Feedlots (Specialised)0143
38 585338530Beef Cattle Farming (Specialised)014211 23620134Sheep Farming (Specialised)0141
2 7707391Other Fruit and Tree Nut Growing0139304^6*1Olive Growing0137
1 1155182Citrus Fruit Growing01368412131Stone Fruit Growing013573110398Apple and Pear Growing01344472632Berry Fruit Growing0133
17—^1Kiwifruit Growing01325 2303173Grape Growing01313 363226256Vegetable Growing (Outdoors)0123
730^7^7Vegetable Growing (Under Cover)01229324^13Mushroom Growing0121
457411Floriculture Production (Outdoors)0115158——
Floriculture Production (UnderCover)
01142842024Turf Growing01137572237Nursery Production (Outdoors)01122091—Nursery Production (Under Cover)0111
Total
establishments
2000
or
more1000-1999.9
ESTIMATED VALUE OF AGRICULTURAL
OPERATIONS ($'000) continued
BUSINESSES WITH AGRICULTURAL ACT IV ITY , By EVAO —Year ended 30 June 2011 co n t i n u e d3
A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1 15
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* estimate has a relative standard error of 25% to 50% and should be usedwith caution
— nil or rounded to zero (including null cells)
^ estimate has a relative standard error of 10% to less than 25% andshould be used with caution
10 27013 03612 93835 08013 57848 700Total All Industries#
4396629133 4741 9037 176All Other Industries99
9 83012 37412 02631 60611 67541 524Total Agriculture01
24^123613272345Other Livestock Farming n.e.c.0199—^6^74528471Beekeeping019320426218076282Pig Farming019271951749628042 765Horse Farming0191
^2—1181541Deer Farming018047124736233Poultry Farming (Eggs)0172
^3^9148863589Poultry Farming (Meat)0171291655634 2489011 665Dairy Cattle Farming01602755105526278842Other Crop Growing n.e.c.0159
25323213997^5113Cotton Growing01522632961 2638401 230Sugar Cane Growing0151
2 5083 0001 8592 3013881 927Other Grain Growing01494173109219^495Rice Growing0146
2 2053 3242 3702 2892631 631Grain-Sheep or Grain-Beef Cattle
Farming0145
6501 0601 1891 9653171 259Sheep-Beef Cattle Farming0144124826191^481Beef Cattle Feedlots (Specialised)0143
2 9282 5703 14611 7055 17711 962Beef Cattle Farming (Specialised)01428561 4621 8413 6297202 427Sheep Farming (Specialised)0141
629292813322 090Other Fruit and Tree Nut Growing0139*2^473539216Olive Growing0137
^416239699877Citrus Fruit Growing0136^2^2^47277684Stone Fruit Growing0135
—^210115105498Apple and Pear Growing0134——42322398Berry Fruit Growing0133————^314Kiwifruit Growing01321224624494714 213Grape Growing01313264906113772 187Vegetable Growing (Outdoors)0123
1—*2^9^20697Vegetable Growing (Under Cover)0122————^291Mushroom Growing0121—^2^33740374Floriculture Production (Outdoors)0115———1^1156
Floriculture Production (UnderCover)
0114—2^33844197Turf Growing0113—^2^33245674Nursery Production (Outdoors)0112—*1—3^5200Nursery Production (Under Cover)0111
2500-249991000-2499500-999100-49950-990-49
AREA OF HOLDING (HA)
BUSINESSES WITH AGRICULTURAL ACT IV ITY , by area —At 30 June 20114
16 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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* estimate has a relative standard error of 25% to 50% and shouldbe used with caution
— nil or rounded to zero (including null cells)
^ estimate has a relative standard error of 10% to less than 25%and should be used with caution
135 4471023192291 195Total All Industries#
14 641*119^848All Other Industries99
120 8061013012211 147Total Agriculture01
637—1^311Other Livestock Farming n.e.c.0199557————Beekeeping0193663————Pig Farming0192
4 884—*3*2^7Horse Farming019179———1Deer Farming0180
339————Poultry Farming (Eggs)0172765————Poultry Farming (Meat)0171
7 573——^2—Dairy Cattle Farming01601 834————Other Crop Growing n.e.c.0159
853———16Cotton Growing01523 487————Sugar Cane Growing0151
12 014——^230Other Grain Growing0149541———1Rice Growing0146
12 1231*1*237Grain-Sheep or Grain-Beef Cattle
Farming0145
6 6593^1122182Sheep-Beef Cattle Farming01444703^86^10Beef Cattle Feedlots (Specialised)0143
38 58588251152606Beef Cattle Farming (Specialised)014211 23662627243Sheep Farming (Specialised)0141
2 770——*12Other Fruit and Tree Nut Growing0139304————Olive Growing0137
1 115————Citrus Fruit Growing0136841————Stone Fruit Growing0135731————Apple and Pear Growing0134447————Berry Fruit Growing0133
17————Kiwifruit Growing01325 230————Grape Growing01313 363———1Vegetable Growing (Outdoors)0123
730————Vegetable Growing (Under Cover)012293————Mushroom Growing0121
457————Floriculture Production (Outdoors)0115158————
Floriculture Production (UnderCover)
0114284————Turf Growing0113757————Nursery Production (Outdoors)0112209————Nursery Production (Under Cover)0111
Total establishments500000 or more200000-499999100000-19999925000-99999
AREA OF HOLDING (HA) continued
BUSINESSES WITH AGRICULTURAL ACT IV ITY , by area —At 30 June 2011 co n t i n u e d4
A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1 17
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— nil or rounded to zero (including null cells)na not available
^ estimate has a relative standard error of 10% to less than25% and should be used with caution
* estimate has a relative standard error of 25% to 50% andshould be used with caution
1.00.92.20.71.61.31.11.41.21.51.1Yield (t/ha)*—^——12067346172354349355Area ('000 ha)*—^—1881074469101410536381Production ('000 t)
O T H E R CE R E A L S FO R GR A I N OR SE E D
1.4—3.91.12.51.72.52.72.01.61.6Yield (t/ha)*——84 6402 3419051 7933 81513 50213 88113 530Area ('000 ha)*——325 0055 9491 5244 41210 48827 41021 83421 420Production ('000 t)
WH E A T
——2.70.81.72.21.92.41.9na1.1Yield (t/ha)——12452^13872187na323Area ('000 ha)——11986^173175355na363Production ('000 t)
TR I T I C A L E
———10.0—6.210.29.69.510.48.5Yield (t/ha)———*———^—757619^7Area ('000 ha)———*2—22716723197^61Production ('000 t)
R I C E
——2.11.11.90.51.41.51.41.41.3Yield (t/ha)——32556714166321826850870Area ('000 ha)——728312572374691 1281 1621 160Production ('000 t)
OA T S
—5.7—7.06.24.67.47.45.7na5.8Yield (t/ha)—^——^—^—3722362na65Area ('000 ha)—^——2^117112171357na376Production ('000 t)
MA I Z E
——2.00.81.5^1.11.52.01.11.21.2Yield (t/ha)——^—52264*—42128756692577Area ('000 ha)——^—39893*—65252808823708Production ('000 t)
LU P I N S
———^1.5^2.22.7^3.53.83.13.03.5Yield (t/ha)———^1*—435^1197633498767Area ('000 ha)———*1*—1 183^27481 9351 5082 692Production ('000 t)
GR A I N SO R G H U M
1.0—1.50.71.71.31.51.71.11.11.1Yield (t/ha)*——11 057216^23234792 0781 6951 693Area ('000 ha)*——^1715359^24768052 3591 9071 844Production ('000 t)
CA N O L A
——3.61.42.71.62.42.52.21.81.6Yield (t/ha)——111 101795948028783 6814 4225 015Area ('000 ha)——391 5492 1221461 9452 1947 9957 8657 997Production ('000 t)
BA R L E Y
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
BROADACRE CROPS— Year ended 30 June5
18 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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— nil or rounded to zero (including null cells)na not available
^ estimate has a relative standard error of 10% to less than25% and should be used with caution
* estimate has a relative standard error of 25% to 50% andshould be used with caution
—————57—259nanaArea ('000 ha)
SU G A R CA N E - NE W L Y PL A N T E D IN 20 1 0 FO R HA R V E S T IN A FO L L O W I N G SE A S O N
———^——58—967nanaArea ('000 ha)
SU G A R CA N E - S T A N D O V E R FR O M PR E V I O U S SE A S O N
—————40—4741na52Yield (t/ha)—————14—115na*26Area ('000 ha)—————584—33617na*1 349Production ('000 t)
SU G A R CA N E CU T FO R PL A N T S
———50—80—107828080Yield (t/ha)———*——293—15308389391Area ('000 ha)———*——23 615—1 56725 18231 23531 457Production ('000 t)
SU G A R CA N E CU T FO R CR U S H I N G
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
SUGAR CANE— Year ended 30 June6
A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1 19
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— nil or rounded to zero (including null cells)na not available(a) Yield is based on cotton lint production.
^ estimate has a relative standard error of 10% to less than 25% and shouldbe used with caution
* estimate has a relative standard error of 25% to 50% and should be usedwith caution
———1 393—1 339—1 5081 4341 7931 946Yield (kg/ha)(a)———*——259—330588196159Area ('000 ha)———*36—346 305—497 231843 572352 049308 828Cotton lint production ('000 kg)———*93—889 346—1 264 9722 154 411na786 604Seed cotton production ('000 kg)
CO T T O N - I R R I G A T E D AN D NO N - I R R I G A T E D
—————642—656650na863Yield (kg/ha)(a)—————96—133229na^17Area ('000 ha)—————61 403—87 510148 913na^14 493Cotton lint production ('000 kg)—————165 178—231 166396 344na^38 799Seed cotton production ('000 kg)
CO T T O N - NO N - I R R I G A T E D
———1 393—1 748—2 0881 933na2 074Yield (kg/ha)(a)———*——163—196359na142Area ('000 ha)———*36—284 901—409 722694 659na294 335Cotton lint production ('000 kg)———*93—724 168—1 033 8061 758 067na747 805Seed cotton production ('000 kg)
CO T T O N - I R R I G A T E D
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
COTTON— Year ended 30 June7
20 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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na not available(a) Number of trees refers to trees of bearing age.(b) Includes Navel and Valencia in 2009-10.(c) Including Nashi pears.
^ estimate has a relative standard error of 10% to less than 25% and should beused with caution
* estimate has a relative standard error of 25% to 50% and should be used withcaution
— nil or rounded to zero (including null cells)
——6.76.65.8—6.82.85.4na6.9Yield (kg/tree)——50627321^54816131 953na2 001Trees ('000)——3 4161791 861—3 2751 74310 475na13 727Production ('000 kg)
Cherries
——9.612.5^17.310.621.88.716.5na21.2Yield (kg/tree)*——19232^1731934149805na644Trees ('000)——^1 8464022 9961987 41642513 283na13 673Production ('000 kg)
Apricots
ST O N E FR U I T (a)
*——*—*—25*33^8^1^67na*71Trees ('000)Other Pome
*50.9—34.443.964.036.781.931.375.966.673.3Yield (kg/tree)*——2514694^81 331211 6251 4271 643Trees ('000)*1—8456 4065 992^303109 060660123 26795 111120 376Production ('000 kg)
Pears(c)
*11.6—27.240.923.336.035.936.333.835.338.6Yield (kg/tree)*2—1 0006971 0911 0063 6031 4608 8597 5017 642Trees ('000)
*19—27 25428 54925 42736 249129 32352 957299 778264 401295 134Production ('000 kg)Apples
PO M E (a)
—^——*35921^8^18109na*98Trees ('000)Other Citrus
—22.3—27.389.983.269.444.747.2na^53.1Yield (kg/tree)—^5—*631991980^195na^201Trees ('000)—^103—*1 7071 6987671 3513 5929 217na^10 681Production ('000 kg)
Grapefruit
—17.6—36.555.569.957.437.157.5na71.2Yield (kg/tree)—5—186823593107526na418Trees ('000)—97—6503 76416 4325 3393 95630 238na29 765Production ('000 kg)
Lemons and Limes
———22.943.462.146.033.353.262.970.0Yield (kg/tree)———1034271 121881021 8401 4471 291Trees ('000)———2 35318 49469 5784 0493 39797 87191 00290 316Production ('000 kg)
Mandarins
———19.118.3^40.262.022.023.0(b)57.6^59.6Yield (kg/trees)———252^169392471(b)6 791^138Trees ('000)———469466635658 60810 828(b)391 343*8 229Production ('000 kg)
Oranges - Other
———32.645.865.049.939.041.7na56.7Yield (kg/tree)———52610302551 8222 769na2 874Trees ('000)———1 71327 9401 931^12 70971 133115 425na162 925Production ('000 kg)
Oranges - Valencia
———24.045.082.946.232.339.0na47.1Yield (kg/tree)———2111 282627741 8994 226na3 747Trees ('000)———5 05157 6775 13735 77361 332164 970na176 570Production ('000 kg)
Oranges - Navel
C I T R U S (a)
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
FRUIT AND NUTS— Year ended 30 June8
A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1 21
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— nil or rounded to zero (including null cells)na not available(a) Number of trees refers to trees of bearing age.(b) Area refers to area of bearing age.
^ estimate has a relative standard error of 10% to less than 25% and should beused with caution
* estimate has a relative standard error of 25% to 50% and should be used withcaution
—21.2—23.2—18.8—10.718.126.222.5Yield (t/ha)—146—223—9 727—1 10011 19611 54311 992Area (ha)—3 101—5 172—182 697—11 780202 751302 173270 393Production (t)
Bananas
OT H E R FR U I T (b)
———2.5—7.12.37.27.18.07.7Yield (kg/tree)———^14*—1 862*92 1844 0693 8983 872Trees ('000)———^35—13 208*2115 65128 91431 31429 661Production (t)
Macadamias
————8.6—9.87.09.2na12.9Yield (kg/tree)———*—1 164—2 3082753 746na1 473Trees ('000)————10 010—22 6521 91434 576na18 957Production (t)
Almonds
NU T S (a)
—35.4—13.14.623.54.6^5.125.937.630.3Yield (kg/tree)—435—^128*78282161 4161 1781 342Trees ('000)—15 397—1 681*3119 45611^8336 65944 34240 660Production ('000 kg)
Mangoes
——9.138.7^16.346.333.641.341.4na51.5Yield (kg/tree)——*—204^5443833147876na747Trees ('000)——*17 897^87320 286^1 1226 05636 235na38 478Production ('000 kg)
Avocados
OT H E R OR C H A R D FR U I T (a)
——*—1^6*—^4*2^14na^50Trees ('000)Other Stone Fruit
20.0—2.912.726.311.812.08.511.5na10.8Yield (kg/tree)*——17318^35777593981 605na1 633Trees ('000)*1—504 026^9289109 1183 40118 433na17 577Production ('000 kg)
Plums and Prunes
——5.719.528.911.624.721.722.0na26.0Yield (kg/tree)*——2384^491456791981 177na1 061Trees ('000)——1351 637^1 4041 68316 7584 29425 911na27 612Production ('000 kg)
Peaches - FreshMarket
———26.229.9^17.543.520.441.6na46.2Yield (kg/tree)——*—^1023^3751^44831na1 066Trees ('000)———^253684*6132 712^89334 603na49 180Production ('000 kg)
Peaches - Processing
——^3.66.613.0^0.335.79.4^20.6na19.2Yield (kg/tree)——^20685744242*1 943785^4 419na3 259Trees ('000)——^71^4 543^9 673^74*69 2917 416*91 067na62 655Production ('000 kg)
Olives
16.7—10.421.427.814.721.218.220.6na24.3Yield (kg/tree)*——10167^881201 1382731 796na1 661Trees ('000)*——1073 573^2 4491 76824 1664 97037 034na40 396Production ('000 kg)
Nectarines
ST O N E FR U I T (a) c o n t .
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
FRUIT AND NUTS— Year ended 30 June co n t i n u e d8
22 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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— nil or rounded to zero (including null cells)na not available(a) Area refers to area of bearing age.
^ estimate has a relative standard error of 10% to less than 25% and should beused with caution
* estimate has a relative standard error of 25% to 50% and should be used withcaution
——9.822.819.715.511.17.813.921.223.9Yield (t/ha)——431791347171 121272 2201 3831 184Area (ha)——4174 0742 65211 11012 43121330 89729 33428 246Production (t)
Strawberries
—————37.0—2.037.0na^52.6Yield (t/ha)—————2 246—*12 247na^3 000Area (ha)—————83 221—*283 223na^157 679Production (t)
Pineapples
—5.6—21.3—17.5—4.816.2na21.7Yield (t/ha)—24—^22—332—*24402na^326Area (ha)—137—468—5 815—*1166 534na^7 069Production (t)
Paw Paw / Papaya
——3.6^0.3^2.2*1.13.04.24.0na3.8Yield (t/ha)——28*4*4^585605731na^660Area (ha)——^100*1*10*62542 5322 903na2 502Production (t)
Blueberries
OT H E R FR U I T (a) c o n t .
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
FRUIT AND NUTS— Year ended 30 June co n t i n u e d8
A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1 23
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** estimate has a relative standard error greater than 50% and is considered toounreliable for general use
— nil or rounded to zero (including null cells)na not available
^ estimate has a relative standard error of 10% to less than 25% and should beused with caution
* estimate has a relative standard error of 25% to 50% and should be used withcaution
—36.0—25.826.721.332.635.827.8na26.6Yield (t/ha)—1 153—9962193 3092661 6657 609na7 776Area (ha)—41 553—25 7155 85170 4948 69259 591211 898na206 731Production (t)
ME L O N S
—48.85.916.823.922.712.415.515.9na22.2Yield (t/ha)—4470891^2992 390^4 0001 0189 071na7 411Area (ha)—1822 76814 961^7 13954 35149 435^15 800144 637na164 543Production (t)
L E T T U C E
0.10.9^0.9^0.3^1.01.61.61.41.4nanaYield (kg/m2)10^28^29^321^184^2 2061 3449635 086nanaArea ('000 m2)
1^24^26^95^189^3 596^2 100^1 3327 361nanaProduction ('000 kg)
HE R B S
—20.016.721.133.721.119.823.621.5na22.5Yield (t/ha)—1216399^1748411 0114773 118na3 121Area (ha)—103 6068 426^5 857^17 77120 01811 24566 932na^70 286Production (t)
CA U L I F L O W E R S
——75.849.947.136.940.824.848.448.750.9Yield (t/ha)——7121 301614671^1 179^1604 6365 4945 174Area (ha)——53 95864 89628 92524 75848 0543 979224 571267 442263 527Production (t)
CA R R O T S
—3.2^153.122.321.822.415.3^10.021.4na23.1Yield (t/ha)—^1*51501751 768^1081652 372na2 043Area (ha)—^2*8313 3523 81539 556^1 647^1 66050 862na47 124Production (t)
CA P S I C U M S (E X C L U D I N G CH I L L I E S )
——9.77.55.56.76.86.56.9na7.1Yield (t/ha)——3758462361 9203 370^3427 090na6 269Area (ha)——3 6366 366^1 28912 80922 779^2 23449 112na44 420Production (t)
BR O C C O L I
—4.34.02.3^5.85.44.9^2.85.0na4.4Yield (t/ha)—5167451^94 052839^875 610na4 070Area (ha)—23664^1 056^51^21 7684 115^24827 925na17 776Production (t)
Fresh Market
—10.35.64.0^5.66.45.5*0.85.6na8.5Yield (t/ha)—3646^16*1^14755*26894na^1 179Area (ha)—363 594^64*4^939304*214 961na^10 003Production (t)
Processing
BE A N S , FR E N C H AN D RU N N E R
———2.91.3^0.55.1^2.35.0na4.3Yield (t/ha)———^34**3^151 962*582 072na^1 616Area (ha)———^98**4^810 033*13410 276na6 981Production (t)
AS P A R A G U S
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
VEGETABLES FOR HUMAN CONSUMPTION— Year ended 30 June9
24 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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np not available for publication but included in totals where applicable, unlessotherwise indicated
(a) Shelled weight.(b) Pod weight.(c) 2009-10 also includes potatoes for processing.(d) Includes Butternut.(e) 2009-10 also includes tomatoes for processing.
^ estimate has a relative standard error of 10% to less than 25% and should beused with caution
* estimate has a relative standard error of 25% to 50% and should be used withcaution
— nil or rounded to zero (including null cells)na not available
10.043.3132.240.7136.144.922.3^80.843.8(e)61.053.3Yield (t/ha)*—^154691292 7951 0632424 704(e)7 7344 177Area (ha)*1^27^71219 10617 548125 63623 661*19 516206 207(e)471 883222 430Production (t)
Fresh Market
———^20.022.1^20.626.329.927.0na83.3Yield (t/ha)———^8236^59^2 436^928^3 540na2 612Area (ha)———^1 6358051 213^64 124^27 735^95 512na217 663Production (t)
Processing
TO M A T O E S
——*—12.17.56.913.117.610.5na14.8Yield (t/ha)——^2831^253 7396921 4566 744na^3 494Area (ha)——*—10 096^18925 8229 02625 67570 808na^51 609Production (t)
SW E E T CO R N
—^24.217.014.619.812.711.117.114.7na18.0Yield (t/ha)—^145699242173 2332702 1276 986na5 771Area (ha)—*3 5091 17613 4534 30141 1832 99036 322102 934na103 729Production (t)
PU M P K I N S (d)
——29.944.832.427.230.825.931.2(c)35.130.5Yield (t/ha)——9051 1685 2871 9983 2312 27614 865(c)36 37914 456Area (ha)——27 03552 320171 35054 31499 58458 895463 498(c)1 278 118440 548Production (t)
Fresh Market
——44.544.346.225.531.528.338.4na40.7Yield (t/ha)——5 0497334 005^1 3094 3551 83617 288na18 123Area (ha)——224 71732 502185 118^33 352137 13351 887664 710na737 986Production (t)
Processing
PO T A T O E S
——0.71.2^2.13.6^2.61.72.5na1.8Yield (t/ha)——*27^5^479^152^60327na206Area (ha)——*20^6*8287^394^99^813na^375Production (t)(b)
Fresh market
——4.5^3.0—4.51.5^25.64.5na5.5Yield (t/ha)——2 963*4—*25*7^73 006na3 415Area (ha)——13 241*12—*112*10^1713 392na18 805Production (t)(a)
Processing
PE A S , GR E E N
—42.663.860.861.839.239.931.053.948.852.0Yield (t/ha)—141 4634712 096950682^4626 1395 3295 463Area (ha)—60793 30228 626129 55937 21027 20714 336330 847259 947283 819Production (t)
ON I O N S
——npnp26.531.733.031.131.029.827.4Yield (kg/m2)——npnp1051835375631 6021 3871 587Area ('000 m2)——npnp2 7895 80417 73017 51049 69641 29543 416Production ('000 kg)
MU S H R O O M S
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
VEGETABLES FOR HUMAN CONSUMPTION— Year ended 30 June co n t i n u e d9
A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1 25
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— nil or rounded to zero (including null cells)(a) Data is for 2010-11 season only.(b) Yield is based on area of bearing age.
^ estimate has a relative standard error of 10% to less than 25%and should be used with caution
* estimate has a relative standard error of 25% to 50% andshould be used with caution
——^107641 421^1141 9661 8096 085Area (ha)
AR E A OF GR A P E V I N E S RE M O V E D
—6.8—10.06.65.915.7^12.712.3Yield (t/ha)(b)—1 536—4 766^1 79911 761^72 450^13 904106 217Production (t)
—234*3600^2952 1085 1591 2029 601Total area of grapes (ha)
—*9*1^124^24^128557^103947Area not yet bearing (ha)—226*2476^2711 9794 6021 0988 654Bearing age (ha)
TA B L E AN D OT H E R GR A P E S
———^5.44.4—^3.13.03.1Yield (t/ha)(b)———^220^444—^9 2941 872^11 831Production (t)
———^52^147*13 3237074 230Total area of grapes (ha)
———*11*46*1333^74465Area not yet bearing (ha)———^41^101—2 9906333 765Bearing age (ha)
DR Y I N G GR A P E S
*0.6—5.56.110.51.210.511.410.3Yield (t/ha)(b)*59—7 44670 128773 9591 008295 861449 2091 597 669Production (t)
95—1 49512 03476 48990229 78642 246163 047Total area of grapes (ha)
——145^5403 028^401 5472 7448 045Area not yet bearing (ha)95—1 35011 49473 46186228 23939 502155 002Bearing age (ha)
GR A P E S FO R W I N E M A K I N G
ACTNTTas.WASAQldVic.NSWAust.
GRAPES— Year ended 30 June 2011(a)10
26 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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(b) Includes steers, bullocks, spayed cows etc.(c) Businesses may be involved in more than one industry therefore total
number of agricultural businesses for a particular commodity may not equalthe sum of its components.
^ estimate has a relative standard error of 10% to less than 25% and shouldbe used with caution
— nil or rounded to zero (including null cells)na not available(a) Excluding bull calves for service.
512552 8964 6444 81019 61019 19027 86679 32277 08279 390Total businesses with cattle and calves
512542 6034 5284 62919 22616 02027 16674 47671 10474 237Total meat cattle
192181 6022 5422 60313 7859 70314 02644 497na44 691All other meat cattle(b)482312 0503 9314 02616 62712 77623 73863 42760 29162 886Cows and heifers one year and over452061 8283 5453 66414 78611 64720 64556 364na52 175Other calves under one year(a)432151 6443 4053 37814 80510 68320 72554 897na53 761Bulls and bull calves intended for service
Number of businesses with meat cattle
—^15692944019685 1641 5018 89810 9738 876Total dairy cattle
—^15022613687754 9351 2778 1189 9978 250All other dairy cattle—^14702293178364 4761 1757 5048 8987 925Cows in milk and dry
Number of businesses with dairy cattle
AG R I C U L T U R A L BU S I N E S S E S W I T H CA T T L E (N O . ) (c)
100100689589996094919091Meat cattle —^—3251114069109Dairy cattle
PR O P O R T I O N OF HE R D (% )
92 1976892 0671 25212 6123 9705 71028 50626 55027 907Total cattle and calves
92 1974671 9541 11012 4502 3665 38425 93624 00825 294Total meat cattle
^—587983612403 7114671 0406 505na6 112All other meat cattle(b)61 1882201 0625246 0011 1192 76312 88312 94512 903Cows and heifers one year and over33531374703192 4487091 4325 871na5 578Other calves under one year(a)
—7011622729070148678na702Bulls and bull calves intended for serviceMeat cattle
—^—2231131431621 6043262 5702 5422 612Total dairy cattle
—^—85545266594131981947936All other dairy cattle—^—1385990971 0101951 5891 5961 676Cows in milk and dry
Dairy cattle
CA T T L E ( ' 0 0 0 )
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
LIVESTOCK— 2009- 201111
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(a) Includes rams, wethers, hoggets and non-breeding ewes. The 2009-10figure also includes marked lambs.
(b) Businesses may be involved in more than one industry therefore totalnumber of agricultural businesses for a particular commodity may not equalthe sum of its components.
^ estimate has a relative standard error of 10% to less than 25% and shouldbe used with caution
— nil or rounded to zero (including null cells)na not available
32^31 5526 2236 8131 81910 97016 41643 82842 57343 590Total number of businesses with sheep
and lambs
25^31 3295 3955 6851 5679 14513 39036 54038 12342 430Number of businesses with all other
sheep(a)
2911 2144 7235 6641 4628 79313 64735 534na33 178Number of businesses with marked lambs
under one year
31^21 3455 7386 2311 5769 88014 96339 76739 28839 666Number of businesses with breeding ewes
one year and over
AG R I C U L T U R A L BU S I N E S S E S W I T H SH E E P (N O . ) (b)
77—93839670929089na42Proportion of lambs marked to ewes mated
PR O P O R T I O N OF LA M B S MA R K E D TO EW E S MA T E D (% )
21—1 0986 5465 1111 1977 10812 20833 28931 90132 543Lambs marked28—1 1757 8575 3341 7047 73713 55037 385na38 387Ewes mated to produce lambs
LA M B I N G ( ' 0 0 0 )
5422 34414 00011 0093 65315 21226 82573 09968 08572 740Total sheep and lambs
1013721 8701 1248042 1963 1419 51925 82011 624All other sheep(a)15—6703 7963 7528854 3758 26521 758na20 249Marked lambs under one year29—1 3028 3356 1331 9648 64115 41941 82242 26540 867Breeding ewes one year and over
SH E E P ( ' 0 0 0 )
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
LIVESTOCK— 2009- 2011 co n t i n u e d11
28 A B S • A G R I C U L T U R A L CO M M O D I T I E S • 7 1 2 1 . 0 • 2 0 1 0 – 1 1
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(b) Includes suckers, weaners, growers, finishers etc. The 2009-10 figure alsoincludes breeding boars.
(c) Businesses may be involved in more than one industry therefore totalnumber of agricultural businesses for a particular commodity may not equalthe sum of its components.
(d) Including stock horses.(e) Excluding unmanaged feral deer.(f) Excluding unmanaged feral goats.(g) Including hens in moult.
^ estimate has a relative standard error of 10% to less than 25% and shouldbe used with caution
* estimate has a relative standard error of 25% to 50% and should be usedwith caution
— nil or rounded to zero (including null cells)na not availablenp not available for publication but included in totals where applicable, unless
otherwise indicated(a) From first mating.
84—npnpnp19 82722 39637 82598 76790 048102 778Total poultry
*—^—npnp4574261 555^2 5615 8207 025^4 692All other poultry*—^—npnp^148^11169141 203na^1 203Turkeys*——^1^——^3^6023941 000na^1 473Ducks84—1761 143361^3 5203 4294 39813 11111 73412 604Chickens for egg production(g)——npnpnp15 87816 69529 55877 63371 29082 805Chickens for meat production
PO U L T R Y ( ' 0 0 0 )
*2441491303621445301 2178851 518Total livestock
—32^227128854^146361372*479All other livestock*1^2242^616639288547^513^728Goats(f)—3*—^——^—^1^—4na*9Buffaloes —*—5^5^3^1212845na*46Deer (e)
^—62106722054170na162Horses - other(d)*—^—27424193489na95Horses - stud
OT H E R L I V E S T O C K ( ' 0 0 0 )
—^5922073015124507422 3102 4561 835Total number of businesses with pigs
—^5721652604503485781 8792 3351 683Number of businesses with all other pigs(b)—*13097163193171285939na841
Number of businesses with gilts intendedfor breeding
—^2541592383533035491 6591 8391 351Number of businesses with breeding
sows(a)
—^3521522203192614961 504na1 321Number of businesses with breeding boars
AG R I C U L T U R A L BU S I N E S S E S W I T H P I G S (N O . ) (c)
—^—132693736395054862 2852 2892 302Total pigs
—^—112263155704384211 9812 0582 015All other pigs(b)—*——4^779734na36Gilts intended for breeding—^—23850605656261232242Breeding sows(a)—^——112229na8Breeding boars
P I G S ( ' 0 0 0 )
ACTNTTas.WASAQldVic.NSW201120102009
2011AUST.
LIVESTOCK— 2009- 2011 co n t i n u e d11
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9 Since 2005–06, the ABS has used an economic statistics units model on the ABS'
Business Register (ABSBR) to describe the characteristics of businesses and the structural
relationships between related businesses. The units model is used within large and
diverse business groups to define reporting units that can provide data to the ABS at a
suitable level. The ABSBR is based on the Australian Business Register (ABR) which is
administered and maintained by the Australian Taxation Office (ATO).
10 Respondents to the 2010–11 Agricultural Census were businesses undertaking
agricultural activity drawn from the ABS Business Register.
ST A T I S T I C A L UN I T S US E D
8 The industry classification used in this publication is the 2006 version of the
Australian and New Zealand Standard Industrial Classification (ANZSIC). Prior to the
2005–06 issue of this publication, estimates were based on the ANZSIC 1993 edition.
ANZSIC 2006 was developed to provide a more contemporary industrial classification
system taking into account issues such as changes in the structure and composition of
the economy, changing user demands and compatibility with major international
classification standards. For more information, please refer to Australian and New
Zealand Standard Industrial Classification (ANZSIC), 2006 (cat. no. 1292.0).
I N D U S T R Y CL A S S I F I C A T I O N
7 Livestock slaughtering and livestock products, including milk and wool data, and
poultry slaughtering are no longer included in this publication. Further information can
be found in the publication Livestock Products, Australia (cat. no. 7215.0).
L I V E S T O C K SL A U G H T E R I N G
AN D L I V E S T O C K PR O D U C T S
6 Statistics on area and production of crops relate, in the main, to crops sown during
the year ended 30 June. Statistics of perennial crops relate to the position at 30 June and
the production during the year ended on that date, or fruit set by that date.
CR O P S , PA S T U R E S AN D
HO R T I C U L T U R E
3 The Agricultural Census is conducted once every five years, with the Agricultural
Resource Management Survey (ARMS) and the Agricultural Survey (AS) conducted in
alternate years between Censuses. The main objective of the Agricultural Census is to
provide benchmark information on the agriculture sector for small geographic areas.
The 2010-11 Agricultural Census provides estimates for a range of agricultural
commodity items, including broadacre cropping, horticultural production, livestock and
land preparation. Care should be taken when comparing estimates over time as not all
categories directly align between years. For example, a greater range of commodity
items was collected for the 2010-11 Agricultural Census in comparison to the previous
2009-10 ARMS. Commodity information for the 2009-10 ARMS year is included where
possible.
4 Agricultural water use data collected as part of the 2010–11 Agricultural Census will
be released in Water Use on Australian Farms (cat. no. 4618.0). Data related to the
gross and local values of production of major agricultural commodities for all states will
be released in Value of Agricultural Commodities Produced, Australia (cat. no. 7503.0).
5 Where figures have been rounded, discrepancies may occur between sums of the
component items and totals.
GE N E R A L
1 This publication contains final estimates for the main commodities collected in the
2010–11 Agricultural Census. Included are statistics on land use, industry activity, crop
and horticultural area and production, and livestock numbers.
2 Data at sub-state geographies such as Murray Darling Basin (MDB), Natural Resource
Management (NRM) region, Statistical Division (SD), Statistical Local Area (SLA),
Statistical Area 4 (SA4), Statistical Area 2 (SA2), River Basin and Drainage Division
geographical levels will be released as separate datacubes attached to this publication in
August 2012.
I N T R O D U C T I O N
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E X P L A N A T O R Y N O T E S
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15 The estimates in this publication are based on information obtained from the
agricultural businesses that responded to the Agricultural Census. However, since not all
of the businesses that were selected provided data, the estimates are subject to sampling
variability; that is, they may differ from the figures that would have been produced if all
businesses had provided data. One measure of the likely difference is given by the
standard error (SE) which indicates the extent to which an estimate might vary by
chance because only a sample was taken or had responded. There are about two chances
in three that a 'sample' estimate will differ by less than one SE from the figure that would
have been obtained if all businesses had responded, and about nineteen chances in
twenty that the difference will be less than two SEs.
16 In this publication, 'sampling' variability of the estimates is measured by the relative
standard error (RSE) which is obtained by expressing the SE as a percentage of the
estimate to which it refers.
17 Most published national estimates have RSEs less than 5%. For some states with
limited production of certain commodities, RSEs are greater than 10%. Estimates that
have an estimated RSE between 10% and 25% are annotated with the symbol '^'. These
estimates should be used with caution as they are subject to sampling variability too high
for some purposes. Estimates with an RSE between 25% and 50% are annotated with the
symbol '*', indicating that the estimate should be used with caution as it is subject to
sampling variability too high for most practical purposes. Estimates with an RSE greater
than 50% are annotated with the symbol '**' indicating that the sampling variability
causes the estimates to be considered too unreliable for general use. Separate indication
of the RSEs of all estimates is available on request.
18 A table with RSEs for selected commodities follows:
RE L I A B I L I T Y OF ES T I M A T E S
(S A M P L E ER R O R )
11 The scope of the 2010–11 Agricultural Census included all businesses undertaking
agricultural activity recorded on the ABS Business Register (ABSBR) above a minimum
size cut–off of $5,000.
12 The measure of size was based on the ABS' Estimated Value of Agricultural
Operations (EVAO) or a derived value based on Business Activity Statement (BAS)
turnover if EVAO was not available.
13 While the ABSBR does not include all agricultural businesses in Australia, it provides
improved coverage from the former ABS maintained Agricultural Survey frame, as most
businesses and organisations in Australia need to obtain an Australian Business Number
(ABN) from the ABR for their business operations. The ABR based register is also more
up–to–date as it excludes agricultural businesses with cancelled ABNs and incorporates
regularly updated information on agricultural businesses from the ABR and ATO.
14 For the 2010–11 Agricultural Census, a response rate of 88% was achieved from an
in–scope population of approximately 165,000 agricultural businesses. This was the first
agricultural collection to use an e-form, and the e-form achieved a take up rate of 11%.
SC O P E AN D CO V E R A G E
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E X P L A N A T O R Y N O T E S continued
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21 Current publications and other products released by the ABS is produced by the
ABS, including:
! Principal Agricultural commodities, Australia, Preliminary (cat. no. 7111.0)
! Value of Agricultural Commodities Produced, Australia, Preliminary (cat. no.
7501.0)
! Stocks of Grain Held by Bulk Handling Companies and Grain Traders, Australia
(7122.0.55.001)
! Wheat Stocks and Exports, Australia (cat. no. 7307.0)
! Livestock Products, Australia (cat. no. 7215.0)
! Livestock and Meat, Australia (cat. no 7218.0.55.001)
! Water Use on Australian Farms (cat. no 4618.0)
! Gross Value of Irrigated Agricultural Production (cat. no. 4610.0.55.008)
! Value of Agricultural Commodities Produced, Australia (cat. no. 7503.0)
! Vineyards Estimates, Australia (cat. no. 1329.0.55.002)
RE L A T E D PU B L I C A T I O N S
20 ABS publications draw extensively on information provided freely by individuals,
businesses, governments and other organisations. Their continued cooperation is very
much appreciated. Without it, the wide range of statistics published by the ABS would
not be available. Information received by the ABS is treated in strict confidence as
required by the Census and Statistics Act 1905.
GE N E R A L AC K N O W L E D G M E N T
19 As well as the statistics included in this and related publications, the ABS may have
other relevant data available on request. Enquiries should be made to the National
Information and Referral Service on 1300 135 070.
— nil or rounded to zero (including null cells)
—16.84.15.46.33.92.51.31.6Total pigs7.90.41.00.50.61.90.40.40.2Total Sheep —20.41.62.03.11.80.51.30.5Total dairy cattle
6.50.81.61.31.30.50.40.30.3Total meat cattle——3.03.82.75.73.62.51.4Potatoes, production——4.12.65.75.48.65.32.5Carrots, production———3.62.31.06.02.11.6Oranges, production
32.2—4.00.50.42.00.60.60.3Wheat for grain, production——3.11.31.84.21.71.10.7Oats for grain, production——16.61.21.730.22.62.10.9
Lupins for grain or seed,production
35.1—10.81.01.118.51.11.20.6Canola, production——3.40.70.62.20.70.90.4Barley for grain, production
%%%%%%%%%
ACTNTTas.WASAQldVic.NSWAust.
RELAT IVE STANDARD ERRORS OF SELECTED COMMODIT IES— at 30June 2011
RE L I A B I L I T Y OF ES T I M A T E S
(S A M P L E ER R O R ) continued
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www.abs.gov.auWEB ADDRESS
All statistics on the ABS website can be downloaded freeof charge.
F R E E A C C E S S T O S T A T I S T I C S
Client Services, ABS, GPO Box 796, Sydney NSW 2001POST
1300 135 211FAX
1300 135 070PHONE
Our consultants can help you access the full range ofinformation published by the ABS that is available free ofcharge from our website. Information tailored to yourneeds can also be requested as a 'user pays' service.Specialists are on hand to help you with analytical ormethodological advice.
I N F O R M A T I O N A N D R E F E R R A L S E R V I C E
www.abs.gov.au the ABS website is the best place fordata from our publications and information about the ABS.
INTERNET
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© Commonwealth of Australia 2012Produced by the Australian Bureau of Statistics
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