Statistics Tables
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Wheat
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year MA | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Outputo | $m | 1,873 | 1,933 | 1,864 | 2,260 | 1,245 | -45% | 1,835 | -32% | -36% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 3,269 | 3,166 | 2,933 | 3,248 | 3,100 | -5% | 3,143 | -1% | -2% | ABARES (2018a) | |
| Yield | tonnes/ha | 2.02 | 2.10 | 2.35 | 3.02 | 1.45 | -52% | 2.19 | -34% | -31% | ABARES (2018a) | |
| Production | 000 tonnes | 6,596 | 6,654 | 6,898 | 9,819 | 4,495 | -54% | 6,892 | -35% | -32% | ABARES (2018a) | |
| Price | $/tonne | 316 | 300 | 277 | 231 | 279 | 20% | 281 | -1% | -7% | ABARES (2018b) | |
| Export Value | Total | $m | 719 | 489 | 453 | 1,190 | 491 | -59% | 669 | -26% | 0% | GTA (2018) |
| Vietnam | $m | 48 | 38 | 38 | 129 | 112 | -13% | 73 | 53% | 192% | GTA (2018) | |
| China | $m | 135 | 106 | 53 | 97 | 68 | -30% | 92 | -26% | -36% | GTA (2018) | |
| Italy | $m | 30 | 60 | 73 | 61 | 64 | 4% | 58 | 11% | 6% | GTA (2018) | |
| Imports | Total | $m | 0.5 | 0.4 | 0.3 | 0.2 | 0.4 | 150% | 0.4 | 15% | -7% | GTA (2018) |
| Trade Balancen | Total | $m | 719 | 489 | 453 | 1,189 | 491 | -59% | 668 | -27% | 0% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Cotton
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 1,304 | 574 | 874 | 1,059 | 1,288 | 22% | 1,020 | 26% | 124% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 256 | 124 | 163 | 370 | 310 | -16% | 245 | 27% | 150% | ABARES (2018a) | |
| Yield | bales/ha | 10.11 | 11.86 | 10.68 | 6.85 | 9.95 | 45% | 10 | 1% | -16% | ABARES (2018a) | |
| Production | 000 bales (227kg) | 2,588 | 1,471 | 1,740 | 2,535 | 3,084 | 22% | 2,284 | 35% | 110% | ABARES (2018a) | |
| Price | $/bale | 519 | 451 | 513 | 582 | 582 | 0% | 529 | 10% | 29% | ABARES (2018b) | |
| Export Valuej | Total | $m | 1,027 | 676 | 593 | 732 | 177 | -76% | 641 | -72% | -74% | GTA (2018) |
| China | $m | 698 | 385 | 335 | 228 | 62 | -73% | 342 | -82% | -84% | GTA (2018) | |
| Bangladesh | $m | 19 | 22 | 18 | 84 | 26 | -69% | 33 | -23% | 19% | GTA (2018) | |
| Vietnam | $m | 49 | 68 | 82 | 100 | 24 | -76% | 64 | -63% | -65% | GTA (2018) | |
| Imports | Total | $m | 0.04 | 0.1 | 0.1 | 0.1 | 0.0 | -44% | 0 | -28% | -34% | GTA (2018) |
| Trade Balancen | Total | $m | 1,027 | 676 | 593 | 732 | 177 | -76% | 641 | -72% | -74% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- j Due to confidentiality, ABS export data restrictions have been applied and values are under-reported as a result
Pulses
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 112 | 178 | 532 | 818 | 510 | -38% | 430 | 19% | 187% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 356 | 350 | 605 | 616 | 632 | 3% | 512 | 24% | 81% | ABARES (2018a) | |
| Yield | tonnes/ha (Chickpeas) | 1.14 | 1.35 | 1.23 | 1.65 | 0.90 | -45% | 1 | -28% | -33% | ABARES (2018a) | |
| Production | 000 tonnes | 431 | 491 | 819 | 1,031 | 612 | -41% | 677 | -10% | 25% | ABARES (2018a) | |
| Price | $/tonne (Chickpeas) | 352 | 567 | 784 | 833 | 760 | -9% | 659 | 15% | 34% | ABARES (2018b) | |
| Price | $/tonne (Lupins) | 345 | 292 | 362 | 277 | 262 | -5% | 308 | -15% | -10% | ABARES (2018b) | |
| Export Value | Total | $m | 80 | 169 | 366 | 532 | 333 | -37% | 296 | 13% | 97% | GTA (2018) |
| India | $m | 16 | 57 | 187 | 252 | 190 | -25% | 141 | 35% | 234% | GTA (2018) | |
| Bangladesh | $m | 30 | 55 | 58 | 44 | 65 | 46% | 50 | 28% | 18% | GTA (2018) | |
| Pakistan | $m | 4 | 9 | 51 | 156 | 39 | -75% | 52 | -24% | 334% | GTA (2018) | |
| Imports | Total | $m | 9 | 9 | 12 | 13 | 17 | 29% | 12 | 38% | 88% | GTA (2018) |
| Trade Balancen | Total | $m | 71 | 160 | 354 | 519 | 317 | -39% | 284 | 11% | 97% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Barley
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 402 | 551 | 690 | 601 | 358 | -40% | 520 | -31% | -35% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 715 | 882 | 966 | 1,056 | 790 | -25% | 882 | -10% | -10% | ABARES (2018a) | |
| Yield | tonnes/ha | 2.08 | 2.12 | 2.62 | 2.68 | 1.50 | -44% | 2.24 | -32% | -29% | ABARES (2018a) | |
| Production | 000 tonnes | 1,486 | 1,869 | 2,528 | 2,832 | 1,185 | -58% | 1,980 | -40% | -37% | ABARES (2018a) | |
| Price | $/tonne | 267 | 280 | 253 | 197 | 281 | 43% | 255 | 10% | 0% | ABARES (2018b) | |
| Export Valuej | Total | $m | 0.00 | - | 0.02 | 0.08 | - | -100% | 0.02 | -100% | N/A | GTA (2018) |
| Bahrain | $m | - | - | - | - | - | N/A | 0 | N/A | N/A | GTA (2018) | |
| China | $m | - | - | - | - | - | N/A | 0 | N/A | N/A | GTA (2018) | |
| Vietnam | $m | - | - | - | 0.08 | - | -100% | 0 | -100% | N/A | GTA (2018) | |
| Imports | Total | $m | 0.2 | 0.2 | 0.2 | 0.2 | 0.1 | -24% | 0.2 | -14% | -25% | GTA (2018) |
| Trade Balancen | Total | $m | -0.2 | -0.2 | -0.2 | -0.1 | -0.1 | 25% | -0.2 | -4% | -25% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- j Due to confidentiality, ABS export data restrictions have been applied and values are under-reported as a result
Oilseeds
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 500 | 510 | 512 | 715 | 367 | -49% | 521 | -30% | -28% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 959 | 847 | 755 | 1,175 | 994 | -15% | 946 | 5% | 17% | ABARES (2018a) | |
| Yield | tonnes/ha (Canola) | 1.37 | 1.45 | 1.65 | 1.59 | 0.95 | -40% | 1 | -32% | -34% | ABARES (2018a) | |
| Production | 000 tonnes | 1,790 | 1,529 | 1,535 | 2,094 | 1,669 | -20% | 1,723 | -3% | 9% | ABARES (2018a) | |
| Price | $/tonne (Canola) | 556 | 503 | 532 | 559 | 540 | -3% | 538 | 0% | 7% | ABARES (2018b) | |
| Price | $/tonne (Soybeans) | 538 | 588 | 569 | 780 | 750 | -4% | 645 | 16% | 28% | ABARES (2018b) | |
| Export Value | Total | $m | 228 | 131 | 136 | 217 | 37 | -83% | 150 | -75% | -72% | GTA (2018) |
| China | $m | 139 | 3 | 6 | 24 | 24 | 2% | 39 | -38% | 817% | GTA (2018) | |
| Korea, South | $m | 12 | 5 | 5 | 4 | 4 | -5% | 6 | -34% | -19% | GTA (2018) | |
| Japan | $m | 12 | 7 | 12 | 4 | 3 | -29% | 8 | -63% | -61% | GTA (2018) | |
| Imports | Total | $m | 18 | 17 | 16 | 15 | 14 | -10% | 16 | -14% | -20% | GTA (2018) |
| Trade Balancen | Total | $m | 209 | 114 | 120 | 202 | 23 | -89% | 134 | -83% | -80% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Rice
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 269 | 259 | 110 | 252 | 256 | 2% | 229 | 12% | -1% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 73 | 69 | 25 | 82 | 60 | -27% | 62 | -3% | -13% | ABARES (2018a) | |
| Yield | tonnes/ha | 11.05 | 9.92 | 10.61 | 9.83 | 10.50 | 7% | 10 | 1% | 6% | ABARES (2018a) | |
| Production | 000 tonnes | 812 | 688 | 262 | 806 | 630 | -22% | 640 | -2% | -8% | ABARES (2018a) | |
| Price | $/tonne | 340 | 395 | 419 | 313 | 407 | 30% | 375 | 9% | 3% | ABARES (2018b) | |
| Export Value | Total | $m | 32 | 43 | 23 | 36 | 44 | 23% | 35 | 23% | 2% | GTA (2018) |
| Unidentified Country | $m | 32 | 43 | 23 | 36 | 44 | 22% | 35 | 23% | 1% | GTA (2018) | |
| Papua New Guinea | $m | - | 0 | - | 0 | 0 | 170% | 0 | 232% | 634% | GTA (2018) | |
| New Zealand | $m | - | - | - | - | - | N/A | 0 | N/A | N/A | GTA (2018) | |
| Imports | Total | $m | 73 | 81 | 83 | 76 | 79 | 4% | 79 | 1% | -2% | GTA (2018) |
| Trade Balancen | Total | $m | -41 | -38 | -60 | -41 | -36 | -12% | -43 | -17% | -6% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Sugar Cane
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 58 | 57 | 74 | 97 | 65 | -33% | 70 | -7% | 14% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 15 | 14 | 16 | 16 | 16 | -3% | 15 | 1% | 8% | ASMC (2018) | |
| Yield | tonnes/ha (Cane) | 88 | 107 | 136 | 131 | 121 | -8% | 116 | 4% | 13% | ASMC (2018) | |
| Production | 000 tonnes (Cane) | 1,302 | 1,544 | 2,173 | 2,101 | 1,878 | -11% | 1,800 | 4% | 22% | ASMC (2018) | |
| Price | $/tonne | 40 | 39 | 37 | 44 | 33 | -25% | 39 | -14% | -15% | ABARES (2018b) | |
| Export Value | Total | $m | 2.5 | 2.3 | 3.1 | 3.2 | 1.6 | -50% | 3 | -37% | -31% | GTA (2018) |
| Philippines | $m | 0.1 | 0.0 | 0.1 | 0.3 | 0.5 | 108% | 0 | 172% | 272279% | GTA (2018) | |
| New Zealand | $m | 0.1 | 0.4 | 1.6 | 1.4 | 0.3 | -75% | 1 | -55% | -17% | GTA (2018) | |
| Singapore | $m | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | -20% | 0 | -13% | -14% | GTA (2018) | |
| Imports | Total | $m | 7 | 7 | 5 | 5 | 5 | -4% | 6 | -15% | -28% | GTA (2018) |
| Trade Balancen | Total | $m | -4 | -4 | -2 | -2 | -3 | 82% | -3 | 3% | -26% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Sorghum
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 118 | 172 | 177 | 97 | 146 | 51% | 142 | 3% | -15% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 175 | 184 | 155 | 117 | 150 | 28% | 156 | -4% | -19% | ABARES (2018a) | |
| Yield | tonnes/ha | 2.39 | 3.18 | 3.91 | 3.30 | 2.87 | -13% | 3 | -8% | -10% | ABARES (2018a) | |
| Production | 000 tonnes | 419 | 586 | 604 | 387 | 430 | 11% | 485 | -11% | -27% | ABARES (2018a) | |
| Price | $/tonne | 300 | 301 | 275 | 238 | 323 | 36% | 287 | 13% | 7% | ABARES (2018b) | |
| Export Value | Total | $m | 32 | 65 | 49 | 55 | 42 | -25% | 49 | -15% | -36% | GTA (2018) |
| China | $m | 31 | 64 | 48 | 52 | 41 | -22% | 47 | -14% | -36% | GTA (2018) | |
| Taiwan | $m | 1 | 1 | 0 | 1 | 1 | 7% | 1 | 13% | -5% | GTA (2018) | |
| New Zealand | $m | - | - | - | - | 0 | N/A | 0 | 400% | N/A | GTA (2018) | |
| Imports | Total | $m | - | 0.0 | 0.0 | 0.0 | - | -100% | 0 | -100% | -100% | GTA (2018) |
| Trade Balancen | Total | $m | 32 | 65 | 49 | 55 | 42 | -25% | 49 | -15% | -36% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Other
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Outputb,o | $m | 367 | 486 | 518 | 546 | 478 | -12% | 479 | 0% | -2% | ABS (2018a) + DPI (2018a) | |
| Area Plantedk | 000 ha | 318 | 415 | 320 | 377 | 343 | -9% | 355 | -3% | -17% | ABARES (2018a) | |
| Yieldk | tonnes/ha | 1.72 | 1.60 | 1.91 | 2.07 | 1.44 | -30% | 2 | -18% | -10% | ABARES (2018a) | |
| Productionk | 000 tonnes | 547 | 663 | 612 | 781 | 494 | -37% | 620 | -20% | -25% | ABARES (2018a) | |
| Exportsi | Total | $m | 469 | 510 | 543 | 481 | 545 | 13% | 510 | 7% | 7% | GTA (2018) |
| Importsi | Total | $m | 173 | 168 | 184 | 174 | 172 | -1% | 174 | -1% | 2% | GTA (2018) |
| Trade Balancei,n | Total | $m | 296 | 342 | 359 | 306 | 373 | 22% | 335 | 11% | 9% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- k Includes Maize, Oats & Triticale. Hay & silage is excluded from this data
- b Includes other cereals, other broadacre crops, hay & silage
- i Includes but not exclusive to other cereals, other broadacre crops, hay & silage, animal products n.e.d
Beef Cattle
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 1,540 | 2,293 | 2,562 | 2,364 | 2,278 | -4% | 2,207 | 3% | -1% | ABS (2018a) + DPI (2018a) | |
| Cattle On Feed (NSW) | 000 head | 240 | 300 | 304 | 301 | 330 | 9% | 295 | 12% | 10% | MLA (2018) | |
| Cattle Herd (NSW) | 000 head | 5,663 | 5,598 | 4,998 | 5,287 | N/A | N/A | 5,386 | N/A | N/A | MLA (2018) | |
| NSW Beef Cattle Herd Contribution | % of National | 19% | 20% | 20% | 20% | N/A | N/A | 0 | N/A | N/A | MLA (2018) | |
| Production (NSW Slaughter) | 000 tonnes | 541 | 596 | 521 | 450 | 501 | 11% | 522 | -4% | -16% | MLA (2018) | |
| Production (NSW Head Adult & Calves) | 000 Head | 2,099 | 2,237 | 1,894 | 1,578 | 1,705 | 8% | 1,903 | -10% | -24% | MLA (2018) | |
| Average Carcass Weight (Adult & Calves) | kg/head | 258 | 266 | 275 | 285 | 294 | 3% | 276 | 7% | 10% | MLA (2018) | |
| Price (EYCI) | Ac/kg (cwt) | 318 | 401 | 578 | 661 | 541 | -18% | 500 | 8% | 35% | MLA (2018) | |
| Price (NSW Saleyard Medium Cow) | Ac/kg (cwt) | 260 | 341 | 468 | 490 | 419 | -14% | 396 | 6% | 23% | MLA (2018) | |
| Price (NSW Saleyard Trade Steer) | Ac/kg (cwt) | 351 | 419 | 588 | 656 | 557 | -15% | 514 | 8% | 33% | MLA (2018) | |
| Export Value | Total | $m | 1,184 | 1,722 | 1,577 | 1,304 | 1,480 | 14% | 1,453 | 2% | -14% | GTA (2018) |
| Japan | $m | 236 | 318 | 320 | 358 | 383 | 7% | 323 | 19% | 20% | GTA (2018) | |
| United States | $m | 244 | 628 | 464 | 248 | 283 | 14% | 373 | -24% | -55% | GTA (2018) | |
| China | $m | 168 | 180 | 209 | 149 | 249 | 67% | 191 | 30% | 38% | GTA (2018) | |
| Imports | Total | $m | 7 | 5 | 12 | 10 | 5 | -47% | 8 | -31% | 3% | GTA (2018) |
| Trade Balancen | Total | $m | 1,177 | 1,717 | 1,566 | 1,293 | 1,474 | 14% | 1,446 | 2% | -14% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Wool
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 816 | 890 | 946 | 1,095 | 1,317 | 20% | 1,013 | 30% | 48% | ABS (2018a) + DPI (2018a) | |
| Sheep Flock (NSW Total) | million head | 25.4 | 25.7 | 26.0 | 26.9 | N/A | N/A | 26 | N/A | N/A | ABS (2018b) | |
| Merino Ewe Flock (NSW 1 Year Or Greater) | million head | 11.1 | 10.1 | 9.9 | 10.0 | N/A | N/A | 10 | N/A | N/A | ABS (2018b) | |
| Production | 000 tonnes | 116 | 121 | 111 | 119 | 118 | -1% | 117 | 0% | -3% | ABS (2018e) | |
| Price (EMI) | c/kg (clean) | 1,070 | 1,102 | 1,256 | 1,415 | 1,723 | 22% | 1,313 | 31% | 56% | ABARES (2018b) | |
| Export Value | Total | $m | 557 | 605 | 584 | 673 | 866 | 29% | 657 | 32% | 43% | GTA (2018) |
| China | $m | 414 | 453 | 442 | 532 | 715 | 34% | 511 | 40% | 58% | GTA (2018) | |
| Italy | $m | 59 | 63 | 64 | 80 | 65 | -19% | 66 | -2% | 3% | GTA (2018) | |
| Czech Republic | $m | 39 | 42 | 34 | 31 | 44 | 41% | 38 | 15% | 3% | GTA (2018) | |
| Imports | Total | $m | 0.2 | 0.2 | 0.2 | 0.1 | 0.0 | -59% | 0 | -67% | -76% | GTA (2018) |
| Trade Balancen | Total | $m | 557 | 605 | 583 | 673 | 866 | 29% | 657 | 32% | 43% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Poultry
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 768 | 877 | 875 | 771 | 814 | 6% | 821 | -1% | -7% | ABS (2018a) + DPI (2018a) | |
| Meat Poultry Flock (NSW) | million head | N/A | 32 | 32 | 35 | N/A | N/A | 33 | N/A | N/A | ABS (2018b) | |
| Production (Chicken Meat) | 000 tonnes | 347 | 358 | 379 | 398 | 417 | 5% | 380 | 10% | 17% | ABS (2018e) | |
| Price (Gross Unit Value) | Ac/kg | 209 | 226 | 223 | 215 | 217 | 1% | 218 | -1% | -4% | ABARES (2018b) | |
| Export Value | Total | $m | 9 | 15 | 18 | 22 | 23 | 5% | 17 | 33% | 55% | GTA (2018) |
| Japan | $m | - | 2 | 6 | 2 | 4 | 97% | 3 | 60% | 154% | GTA (2018) | |
| Hong Kong | $m | 0 | 1 | 1 | 1 | 3 | 139% | 1 | 157% | 400% | GTA (2018) | |
| Solomon Islands | $m | 2 | 3 | 4 | 4 | 3 | -16% | 3 | -5% | 2% | GTA (2018) | |
| Imports | Total | $m | 0.0 | - | - | - | 2.3 | N/A | 0 | 392% | N/A | GTA (2018) |
| Trade Balancen | Total | $m | 9 | 15 | 18 | 22 | 21 | -5% | 17 | 24% | 40% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Sheep & Goat Meat
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output (Total) | $m | 647 | 760 | 741 | 845 | 973 | 15% | 793 | 23% | 28% | ABS (2018a) + DPI (2018a) | |
| Output (Lamb, Sheep) | $m | 640 | 754 | 735 | 833 | 961 | 15% | 784 | 23% | 28% | ABS (2018a) + DPI (2018a) | |
| Output (Goat)c | $m | 7 | 7 | 7 | 12 | 12 | 0% | 9 | 34% | 78% | ABS (2018a) + DPI (2018a) | |
| Sheep Flock (NSW Total) | million head | 25 | 26 | 26 | 27 | N/A | N/A | 26 | N/A | N/A | ABS (2018b) | |
| Non Merino Ewe Flock (NSW 1 Year Or Greater) | million head | 4 | 5 | 5 | 5 | N/A | N/A | 5 | N/A | N/A | ABS (2018b) | |
| Production (Lamb Slaughter) | 000 tonnes | 110 | 122 | 122 | 119 | 128 | 7% | 120 | 6% | 4% | MLA (2018) | |
| Production (Mutton Slaughter) | 000 tonnes | 57 | 54 | 42 | 45 | 65 | 44% | 53 | 24% | 22% | MLA (2018) | |
| Production (Goat Slaughter)f | 000 Head | 104 | 112 | 107 | 92 | 98 | 7% | 103 | -4% | -12% | MLA (2018) | |
| Price (ESTLI) | Ac/kg (cwt) | 486 | 520 | 544 | 611 | 616 | 1% | 555 | 11% | 18% | MLA (2018) | |
| Price (Eastern States Mutton Indicator) | Ac/kg (cwt) | 268 | 343 | 335 | 425 | 433 | 2% | 361 | 20% | 26% | MLA (2018) | |
| Price (Eastern States OTH Goat Indicator) | Ac/kg (cwt) | 241 | 373 | 500 | 616 | 498 | -19% | 446 | 12% | 33% | MLA (2018) | |
| Export Value | Total | $m | 443 | 505 | 475 | 566 | 753 | 33% | 549 | 37% | 49% | GTA (2018) |
| China | $m | 118 | 99 | 57 | 103 | 224 | 118% | 120 | 87% | 127% | GTA (2018) | |
| United States | $m | 60 | 97 | 159 | 185 | 192 | 4% | 138 | 38% | 98% | GTA (2018) | |
| Japan | $m | 34 | 34 | 32 | 34 | 47 | 35% | 36 | 28% | 35% | GTA (2018) | |
| Imports | Total | $m | 3.5 | 1.3 | 0.2 | 0.5 | 1.0 | 107% | 1 | -23% | -24% | GTA (2018) |
| Trade Balancen | Total | $m | 440 | 504 | 474 | 566 | 752 | 33% | 547 | 37% | 49% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- c Goat meat not defined explicitly for each year, but assumed from historic data. ABS intermittently indicates this does not include Rangeland ("Feral") Goats.
- f Goat production data sourced from a seperate source to output data. Production data includes rangeland & managed goats
Milk
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 517 | 612 | 594 | 549 | 637 | 16% | 582 | 9% | 4% | ABS (2018a) + DPI (2018a) | |
| Dairy Herd Total (NSW) | 000 head | 327 | 304 | 323 | 295 | N/A | N/A | 312 | N/A | N/A | ABS (2018b) | |
| Cows in Milk & Dry (NSW) | 000 head | 177 | 175 | 182 | 164 | N/A | N/A | 175 | N/A | N/A | ABS (2018b) | |
| NSW Cows in Milk & Dry Contribution | % of National | 11% | 11% | 12% | 11% | N/A | N/A | 0 | N/A | N/A | ABS (2018b) | |
| Production (wholemilk)q | million litres | 1,104 | 1,160 | 1,178 | 1,121 | 1,131 | 1% | 1,139 | -1% | -2% | DA (2018a) + ABARES (2017) | |
| Price (NSW milk) | Ac/litre | 51.0 | 52.8 | 51.0 | 49.0 | N/A | N/A | 50 | N/A | N/A | DA (2018b) | |
| Price (NSW milk solids) | $/kg | 7.10 | 7.31 | 7.06 | 6.81 | N/A | N/A | 7 | N/A | N/A | DA (2018b) | |
| Export Value | Total | $m | 4 | 8 | 10 | 10 | 10 | 0% | 8 | 18% | 25% | GTA (2018) |
| China | $m | 1 | 3 | 5 | 2 | 4 | 84% | 3 | 33% | 35% | GTA (2018) | |
| Singapore | $m | 0 | 0 | 2 | 5 | 3 | -42% | 2 | 48% | 5818% | GTA (2018) | |
| Hong Kong | $m | 1 | 1 | 1 | 1 | 2 | 63% | 1 | 30% | 39% | GTA (2018) | |
| Imports | Total | $m | 1.2 | 1.7 | 1.8 | 0.9 | 1.2 | 26% | 1 | -14% | -31% | GTA (2018) |
| Trade Balancen | Total | $m | 3 | 6 | 8 | 9 | 8 | -3% | 7 | 24% | 40% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- q 2016-17 data and prior is sourced from ABARES, while 2017-18 is sourced from Dairy Australia. Data may not be directly comparable
Eggs
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 213 | 239 | 258 | 256 | 256 | 0% | 244 | 5% | 7% | ABS (2018a) + DPI (2018a) | |
| Layers & Pullets Flock (NSW) | million head | 5 | 5 | 6 | 6 | N/A | N/A | 5 | N/A | N/A | ABS (2018b) | |
| Production (NSW Eggs) | million dozen | 93 | 96 | 104 | 104 | N/A | N/A | 99 | N/A | N/A | ABS (2018b) | |
| NSW Egg Production Contribution | % of National | 29% | 30% | 32% | 30% | N/A | N/A | 0 | N/A | N/A | ABS (2018b) | |
| Price (National) | Ac/dozen | 221 | 229 | 238 | 238 | 240 | 1% | 233 | 3% | 5% | ABARES (2018b) | |
| Consumer Price Index (Eggs)u | CPI (Sydney) | 108 | 111 | 108 | 109 | 106 | -3% | 108 | -2% | -4% | ABS (2018c) | |
| Export Value | Total | $m | 0 | 1 | 2 | 4 | 12 | 218% | 4 | 224% | 1167% | GTA (2018) |
| Philippines | $m | - | 1 | - | 2 | 11 | 616% | 3 | 318% | 1667% | GTA (2018) | |
| Singapore | $m | - | 0 | - | 0 | 0 | 1976% | 0 | 309% | 477% | GTA (2018) | |
| Sri Lanka | $m | - | - | - | - | 0 | N/A | 0 | 400% | N/A | GTA (2018) | |
| Imports | Total | $m | 5 | 4 | 4 | 6 | 5 | -20% | 5 | -2% | 26% | GTA (2018) |
| Trade Balancen | Total | $m | -5 | -3 | -2 | -2 | 8 | -517% | -1 | -978% | -388% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- u Average over 4 quarters Sydney CPI data
Pork
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 200 | 194 | 212 | 224 | 163 | -27% | 199 | -18% | -16% | ABS (2018a) + DPI (2018a) | |
| Pig Herd (NSW Total) | 000 head | 430 | 405 | 488 | 512 | N/A | N/A | 459 | N/A | N/A | ABS (2018b) | |
| Production (Slaughter) | 000 tonnes | 64 | 61 | 58 | 65 | 67 | 2% | 63 | 6% | 9% | ABS (2018d) | |
| Price (Gross Unit Value) | Ac/kg | 300 | 310 | 358 | 338 | 261 | -23% | 314 | -17% | -16% | ABARES (2018b) | |
| Export Value | Total | $m | 18 | 16 | 21 | 27 | 31 | 13% | 23 | 38% | 99% | GTA (2018) |
| Singapore | $m | 6 | 5 | 8 | 12 | 11 | -8% | 9 | 33% | 139% | GTA (2018) | |
| New Zealand | $m | 4 | 2 | 4 | 3 | 6 | 106% | 4 | 64% | 154% | GTA (2018) | |
| Papua New Guinea | $m | 2 | 2 | 2 | 3 | 4 | 58% | 3 | 69% | 83% | GTA (2018) | |
| Imports | Total | $m | 152 | 167 | 145 | 163 | 147 | -10% | 155 | -5% | -12% | GTA (2018) |
| Trade Balancen | Total | $m | -134 | -151 | -125 | -135 | -116 | -14% | -132 | -12% | -23% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
Horticulture
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output (Total excl. Wine Grapes) | $m | 1,248 | 1,204 | 1,398 | 1,766 | 1,798 | 2% | 1,483 | 21% | 49% | ABS (2018a) + DPI (2018a) | |
| Output (Fruit, Nut & Table Grapes) | $m | 564 | 533 | 678 | 809 | 811 | 0% | 679 | 19% | 52% | ABS (2018a) + DPI (2018a) | |
| Output (Vegetables) | $m | 435 | 408 | 420 | 507 | 537 | 6% | 462 | 16% | 32% | ABS (2018a) + DPI (2018a) | |
| Output (Nurseries, Cut Flowers, Turf) | $m | 249 | 263 | 300 | 450 | 450 | 0% | 342 | 31% | 71% | ABS (2018a) + DPI (2018a) | |
| Production (Oranges, Mandarins) | 000 tonnes | 173 | 174 | 202 | 191 | N/A | N/A | 185 | N/A | N/A | ABS (2018b) | |
| Production (Macadamias, Almonds) | 000 tonnes | 15 | 22 | 20 | 28 | N/A | N/A | 21 | N/A | N/A | ABS (2018b) | |
| Production (Melons) | 000 tonnes | 75 | 76 | 63 | 92 | N/A | N/A | 77 | N/A | N/A | ABS (2018b) | |
| Production (Mushrooms) | 000 tonnes | 15 | 10 | 12 | 15 | N/A | N/A | 13 | N/A | N/A | ABS (2018b) | |
| Production (Potatoes) | 000 tonnes | 120 | 111 | 58 | 55 | N/A | N/A | 86 | N/A | N/A | ABS (2018b) | |
| Area (Nurseries, Cut Flowers, Turf) | hectares | 3.55 | 3.46 | 3.80 | 3.96 | N/A | N/A | 4 | N/A | N/A | ABS (2018b) | |
| Consumer Price Index (Fruit)u | CPI (Sydney) | 88 | 95 | 91 | 99 | 99 | 0% | 95 | 5% | 5% | ABS (2018c) | |
| Consumer Price Index (Vegetables)u | CPI (Sydney) | 109 | 115 | 111 | 128 | 117 | -9% | 116 | 1% | 1% | ABS (2018c) | |
| Export Value | Total | $m | 197 | 212 | 240 | 325 | 365 | 12% | 268 | 36% | 72% | GTA (2018) |
| China | $m | 30 | 20 | 21 | 44 | 65 | 50% | 36 | 82% | 233% | GTA (2018) | |
| Japan | $m | 24 | 22 | 31 | 41 | 39 | -4% | 31 | 25% | 79% | GTA (2018) | |
| Hong Kong | $m | 24 | 21 | 26 | 45 | 36 | -21% | 30 | 17% | 72% | GTA (2018) | |
| Imports | Total | $m | 785 | 912 | 993 | 1,046 | 1,016 | -3% | 951 | 7% | 11% | GTA (2018) |
| Trade Balancen | Total | $m | -588 | -700 | -753 | -721 | -651 | -10% | -683 | -5% | -7% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- p Some values excluded due to lack of data availability
- u Average over 4 quarters Sydney CPI data
Wine Grapes
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output | $m | 134 | 155 | 148 | 187 | 181 | -3% | 161 | 12% | 17% | ABS (2018a) + DPI (2018a) | |
| Area Planted | 000 ha | 33 | 32 | 29 | 30 | N/A | N/A | 31 | N/A | N/A | ABS (2018b) | |
| Yield | tonnes/ha | 13 | 16 | 15 | 15 | N/A | N/A | 15 | N/A | N/A | ABS (2018b) | |
| Grape Crush | 000 tonnes | N/A | 332 | 348 | 349 | 318 | -9% | 337 | -6% | -4% | WA (2018a)w | |
| Price (National Gross Unit Value) | $/tonne | 441 | 476 | 544 | 565 | 609 | 8% | 527 | 16% | 28% | ABARES (2018b) | |
| Export Value | Total | $m | 468 | 490 | 507 | 508 | 520 | 2% | 498 | 4% | 6% | GTA (2018) |
| United States | $m | 249 | 253 | 261 | 245 | 227 | -8% | 247 | -8% | -11% | GTA (2018) | |
| United Kingdom | $m | 61 | 57 | 50 | 51 | 86 | 68% | 61 | 41% | 51% | GTA (2018) | |
| China | $m | 29 | 32 | 43 | 58 | 66 | 14% | 46 | 44% | 103% | GTA (2018) | |
| Imports | Total | $m | 230 | 240 | 264 | 231 | 249 | 8% | 243 | 3% | 4% | GTA (2018) |
| Trade Balancen | Total | $m | 103 | 108 | 120 | 94 | 105 | 11% | 106 | -1% | -3% | GTA (2018) |
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- n Negative values denote a net import trade flow
- w Data is wine grape crush data sourced from WA (2018a), which is separate to production data provided by the ABS
Fisheries
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output (Total)t | $m | 146 | 150 | 156 | 159 | 170 | 7% | 156 | 9% | 13% | DPI (2017b) + DPI (2017c) + DPI (2017a) | |
| Output (Aquaculture)t | $m | 53 | 61 | 65 | 70 | 78 | 12% | 65 | 20% | 29% | DPI (2018b) | |
| Output (Commercial Fisheries)t | $m | 93 | 90 | 91 | 89 | 92 | 3% | 91 | 1% | 2% | DPI (2018c) | |
| Production (Sydney & Pacific Rock Oysters) | million dozens | 5 | 6 | 6 | 6 | 0 | 566% | 0 | 12% | N/A | DPI (2018b) | |
| Production (Wild Caught Harvest) | 000 tonnes | 14 | 12 | 12 | 11 | N/A | N/A | 12 | N/A | N/A | DPI (2018c) | |
| Consumer Price Index (Fish & Other Seafood)u | CPI (Sydney) | 103 | 108 | 109 | 111 | 113 | 2% | 109 | 4% | 5% | ABS (2018e) | |
| Export Value | Total | $m | 10 | 12 | 12 | 11 | 9 | -15% | 11 | -16% | -26% | GTA (2018) |
| Japan | $m | 2 | 1 | 2 | 2 | 2 | 1% | 2 | 15% | 53% | GTA (2018) | |
| Vietnam | $m | 2 | 2 | 3 | 3 | 2 | -22% | 2 | -17% | -8% | GTA (2018) | |
| New Zealand | $m | 1 | 2 | 1 | 1 | 2 | 12% | 1 | 16% | -5% | GTA (2018) | |
| Imports | Total | $m | 492 | 540 | 579 | 572 | 594 | 4% | 556 | 7% | 10% | GTA (2018) |
| Trade Balancen | Total | $m | -482 | -528 | -567 | -561 | -585 | 4% | -545 | 7% | 11% | GTA (2018) |
- e DPI estimate only, subject to revision
- n Negative values denote a net import trade flow
- t Output is sourced sperately to Agriculture output and EVAO threshold differs
- u Average over 4 quarters Sydney CPI data
Forestry
| Measure | Destination | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Output (Total)t | $m | 428 | 466 | 458 | 496 | 470 | -5% | 463 | 1% | 1% | ABARES (2018c) + DPI (2017a) | |
| Output (Softwood)t | $m | 317 | 345 | 344 | 374 | 342 | -8% | 344 | -1% | -1% | ABARES (2018c) | |
| Output (Hardwood)t | $m | 111 | 121 | 115 | 122 | 128 | 4% | 119 | 7% | 6% | ABARES (2018c) | |
| Plantation Areas (Softwood) | 000 ha | 297 | 306 | 307 | 307 | N/A | N/A | 304 | N/A | N/A | ABARES (2018c) | |
| Plantation Areas (Hardwood) | 000 ha | 91 | 87 | 87 | 87 | N/A | N/A | 88 | N/A | N/A | ABARES (2018c) | |
| Production (Softwood) | 000 m3 | 4,447 | 4,505 | 4,651 | 4,967 | N/A | N/A | 4,643 | N/A | N/A | ABARES (2018c) | |
| Production (Hardwood) | 000 m3 | 944 | 996 | 939 | 951 | N/A | N/A | 957 | N/A | N/A | ABARES (2018c) | |
| Implied Price (Softwood)r | $/m3 | 71 | 77 | 74 | 75 | N/A | N/A | 74 | N/A | N/A | ABARES (2018c) | |
| Implied Price (Hardwood)r | $/m3 | 117 | 121 | 122 | 129 | N/A | N/A | 122 | N/A | N/A | ABARES (2018c) | |
| Export Value | Total | $m | 62 | 91 | 92 | 138 | 147 | 6% | 106 | 38% | 61% | GTA (2018) |
| China | $m | 38 | 67 | 68 | 111 | 127 | 15% | 82 | 55% | 89% | GTA (2018) | |
| Taiwan | $m | 11 | 11 | 9 | 16 | 8 | -48% | 11 | -26% | -27% | GTA (2018) | |
| New Zealand | $m | 1 | 2 | 2 | 3 | 3 | 0% | 2 | 23% | 41% | GTA (2018) | |
| Imports | Total | $m | 116 | 137 | 121 | 120 | 135 | 12% | 126 | 7% | -2% | GTA (2018) |
| Trade Balancen | Total | $m | -54 | -45 | -30 | 18 | 12 | -32% | -20 | -163% | -127% | GTA (2018) |
- e DPI estimate only, subject to revision
- r Implied price basis ABARES (2018c) output & production data
- n Negative values denote a net import trade flow
- t Output is sourced sperately to Agriculture output and EVAO threshold differs
Output
| Industry Outputo | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18e | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Broadacre Cropping Sub-total | $m | 5,004 | 4,720 | 5,351 | 6,444 | 4,714 | -27% | 5,247 | -10% | 0% | |
| Wheat | $m | 1,873 | 1,933 | 1,864 | 2,260 | 1,245 | -45% | 1,835 | -32% | -36% | ABS (2018a) + DPI (2018a) |
| Barley | $m | 402 | 551 | 690 | 601 | 358 | -40% | 520 | -31% | -35% | ABS (2018a) + DPI (2018a) |
| Rice | $m | 269 | 259 | 110 | 252 | 256 | 2% | 229 | 12% | -1% | ABS (2018a) + DPI (2018a) |
| Sorghum | $m | 118 | 172 | 177 | 97 | 146 | 51% | 142 | 3% | -15% | ABS (2018a) + DPI (2018a) |
| Pulses | $m | 112 | 178 | 532 | 818 | 510 | -38% | 430 | 19% | 187% | ABS (2018a) + DPI (2018a) |
| Oilseeds | $m | 500 | 510 | 512 | 715 | 367 | -49% | 521 | -30% | -28% | ABS (2018a) + DPI (2018a) |
| Cotton Lint | $m | 1,304 | 574 | 874 | 1,059 | 1,288 | 22% | 1,020 | 26% | 124% | ABS (2018a) + DPI (2018a) |
| Sugar Cane | $m | 58 | 57 | 74 | 97 | 65 | -33% | 70 | -7% | 14% | ABS (2018a) + DPI (2018a) |
| Other Cropsb | $m | 367 | 486 | 518 | 546 | 478 | -12% | 479 | 0% | -2% | ABS (2017a) + DPI (2017a) |
| Horticulture & Viticulture Sub-total | $m | 1,382 | 1,359 | 1,546 | 1,953 | 1,979 | 1% | 1,644 | 20% | 46% | |
| Fruit, Nuts, Table Grapes | $m | 564 | 533 | 678 | 809 | 811 | 0% | 679 | 19% | 52% | ABS (2018a) + DPI (2018a) |
| Vegetables | $m | 435 | 408 | 420 | 507 | 537 | 6% | 462 | 16% | 32% | ABS (2018a) + DPI (2018a) |
| Nurseries, Cut Flowers, Turf | $m | 249 | 263 | 300 | 450 | 450 | 0% | 342 | 31% | 71% | ABS (2018a) + DPI (2018a) |
| Wine Grapes | $m | 134 | 155 | 148 | 187 | 181 | -3% | 161 | 12% | 17% | ABS (2018a) + DPI (2018a) |
| Livestock & Livestock Products Sub-total | $m | 4,700 | 5,865 | 6,189 | 6,104 | 6,438 | 5% | 5,859 | 10% | 10% | |
| Beef Cattle | $m | 1,540 | 2,293 | 2,562 | 2,364 | 2,278 | -4% | 2,207 | 3% | -1% | ABS (2018a) + DPI (2018a) |
| Lamb & Mutton | $m | 640 | 754 | 735 | 833 | 961 | 15% | 784 | 23% | 28% | ABS (2018a) + DPI (2018a) |
| Goat (excl. Rangeland Goats)c | $m | 7 | 7 | 7 | 12 | 12 | 0% | 9 | 34% | 78% | ABS (2018a) + DPI (2018a) |
| Pork | $m | 200 | 194 | 212 | 224 | 163 | -27% | 199 | -18% | -16% | ABS (2018a) + DPI (2018a) |
| Poultry | $m | 768 | 877 | 875 | 771 | 814 | 6% | 821 | -1% | -7% | ABS (2018a) + DPI (2018a) |
| Wool | $m | 816 | 890 | 946 | 1,095 | 1,317 | 20% | 1,013 | 30% | 48% | ABS (2018a) + DPI (2018a) |
| Eggs | $m | 213 | 239 | 258 | 256 | 256 | 0% | 244 | 5% | 7% | ABS (2018a) + DPI (2018a) |
| Milk | $m | 517 | 612 | 594 | 549 | 637 | 16% | 582 | 9% | 4% | ABS (2018a) + DPI (2018a) |
| Forestry & Fisheries Sub-totalt | $m | 574 | 616 | 614 | 655 | 640 | -2% | 620 | 3% | 4% | |
| Softwoodt | $m | 111 | 121 | 115 | 122 | 128 | 4% | 119 | 7% | 6% | ABARES (2018c) |
| Hardwoodt | $m | 317 | 345 | 344 | 374 | 342 | -8% | 344 | -1% | -1% | ABARES (2018c) |
| Aquaculturet | $m | 53 | 61 | 65 | 70 | 78 | 12% | 65 | 20% | 29% | DPI (2018b) |
| Wild Caughtt | $m | 93 | 90 | 91 | 89 | 92 | 3% | 91 | 1% | 2% | DPI (2018c) |
| Hunting, Recreational & Charter Fishing Sub-totalz | $m | 2,933 | 3,024 | 3,077 | 3,548 | 3,760 | 6% | 3,268 | 15% | 24% | |
| Hunting | $m | 1,084 | 1,112 | 1,126 | 1,466 | 1,541 | 5% | 1,266 | 22% | 39% | RMCG (2017) + DPI (2018a) |
| Recreational Fishing | $m | 1,828 | 1,897 | 1,945 | 2,058 | 2,195 | 7% | 1,985 | 11% | 16% | UOW (2013) + DPI (2018a) |
| Charter Fishingaa | $m | 20 | 15 | 6 | 24 | 24 | -1% | 18 | 32% | 52% | DOMINION (2014) + DPI (2018a) |
| TOTAL OUTPUT | $m | 14,593 | 15,583 | 16,777 | 18,705 | 17,530 | -6% | 16,637 | 5% | 12% |
- a Output data is based on the ABS new threshold of $40k with the exception of forestry & fisheries which are sourced elswhere
- b Includes other cereals, other broadacre crops, hay & silage
- c Goat meat not defined explicitly for each year, but assumed from historic data. ABS intermittently indicates this does not include Rangeland ("Feral") Goats
- e DPI estimate only, subject to revision
- o From 2010-11 onwards, output is based on the ABS new EVAO threshold of greater than $40k, prior to this values are based on EVAO of greater than $5k
- t Output is sourced sperately to Agriculture output and EVAO threshold differs
- z Hunting, Recreational & Charter fishing output value is an estimate of participant expenditure on these activities
- aa 2015-16 Charter Fishing revenue figures were incomplete, figures are distorted to the downside as a result
Production
| Industry Production Volumes | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18s | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Broadacre Cropping | |||||||||||
| Wheat | 000 tonnes | 6,596 | 6,654 | 6,898 | 9,819 | 4,495 | -54% | 6,892 | -35% | -32% | ABARES (2018a) |
| Barley | 000 tonnes | 1,486 | 1,869 | 2,528 | 2,832 | 1,185 | -58% | 1,980 | -40% | -37% | ABARES (2018a) |
| Rice | 000 tonnes | 812 | 688 | 262 | 806 | 630 | -22% | 640 | -2% | -8% | ABARES (2018a) |
| Sorghum | 000 tonnes | 419 | 586 | 604 | 387 | 430 | 11% | 485 | -11% | -27% | ABARES (2018a) |
| Pulses | 000 tonnes | 431 | 491 | 819 | 1,031 | 612 | -41% | 677 | -10% | 25% | ABARES (2018a) |
| Oilseeds | 000 tonnes | 1,790 | 1,529 | 1,535 | 2,094 | 1,669 | -20% | 1,723 | -3% | 9% | ABARES (2018a) |
| Cotton Lint | 000 bales (227kg) | 2,588 | 1,471 | 1,740 | 2,535 | 3,084 | 22% | 2,284 | 35% | 110% | ABARES (2018a) |
| Sugar Cane | 000 tonnes (Cane) | 1,302 | 1,544 | 2,173 | 2,101 | 1,878 | -11% | 1,800 | 4% | 22% | ASMC (2018) |
| Other Cropsk | 000 tonnes | 547 | 663 | 612 | 781 | 494 | -37% | 620 | -20% | -25% | ABARES (2018a) |
| Horticulture & Viticulture | |||||||||||
| Fruit (Oranges, Mandarins) | 000 tonnes | 173 | 174 | 202 | 191 | N/A | N/A | 185 | N/A | N/A | ABS (2018b) |
| Nuts (Macadamias, Almonds | 000 tonnes | 15 | 22 | 20 | 28 | N/A | N/A | 21 | N/A | N/A | ABS (2018b) |
| Vegetables (Melons) | 000 tonnes | 75 | 76 | 63 | 92 | N/A | N/A | 77 | N/A | N/A | ABS (2018b) |
| Vegetables (Mushrooms) | 000 tonnes | 15 | 10 | 12 | 15 | N/A | N/A | 13 | N/A | N/A | ABS (2018b) |
| Vegetables (Potatoes) | 000 tonnes | 120 | 111 | 58 | 55 | N/A | N/A | 86 | N/A | N/A | ABS (2018b) |
| Wine Grapesw | 000 tonnes | N/A | 332 | 348 | 349 | 318 | -9% | 337 | -6% | -4% | WA (2018a)w |
| Livestock & Livestock Products | |||||||||||
| Beef Cattle | 000 tonnes | 541 | 596 | 521 | 450 | 501 | 11% | 522 | -4% | -16% | MLA (2018) |
| Lamb & Mutton | 000 tonnes | 167 | 176 | 165 | 165 | 193 | 17% | 173 | 12% | 10% | MLA (2018) |
| Goat (all goats)f | 000 head | 104 | 112 | 107 | 92 | 98 | 7% | 103 | -4% | -12% | MLA (2018) |
| Pork | 000 tonnes | 64 | 61 | 58 | 65 | 67 | 2% | 63 | 6% | 9% | ABS (2018d) |
| Poultry | 000 tonnes | 347 | 358 | 379 | 398 | 417 | 5% | 380 | 10% | 17% | ABS (2018e) |
| Wool | 000 tonnes | 116 | 121 | 111 | 119 | 118 | -1% | 117 | 0% | -3% | ABS (2018e) |
| Eggs | million dozen | 93 | 96 | 104 | 104 | N/A | N/A | 99 | N/A | N/A | ABS (2018b) |
| Milkq | million litres | 1,104 | 1,160 | 1,178 | 1,121 | 1,131 | 1% | 1,139 | -1% | -2% | DA (2018a) + ABARES (2017) |
| Forestry & Fisheries | |||||||||||
| Softwood | 000 m3 | 4,447 | 4,505 | 4,651 | 4,967 | N/A | N/A | 4,643 | N/A | N/A | ABARES (2018c) |
| Hardwood | 000 m3 | 944 | 996 | 939 | 951 | N/A | N/A | 957 | N/A | N/A | ABARES (2018c) |
| Aquaculture (Oysters)g | million dozens | 5 | 6 | 6 | 6 | 6 | 6% | 6 | 9% | 12% | DPI (2018b) |
| Wild Caught | 000 tonnes | 14 | 12 | 12 | 11 | N/A | N/A | 12 | N/A | N/A | DPI (2018c) |
- kIncludes Maize, Oats & Triticale. Hay & silage is excluded from this data
- fGoat production data sourced from a seperate source to output data. Production data includes rangeland & managed goats
- gSydney & Pacific Rock Oysters only
- ssubject to revision
- q2016-17 data and prior is sourced from ABARES, while 2017-18 is sourced from Dairy Australia. Data may not be directly comparable
- wData is wine grape crush data sourced from WA (2018a), which is separate to production data provided by the ABS
| Industry Production Areas (Cropping & Forestry) | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18s | Year On Year Change (%) | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|
| Broadacre Cropping | ||||||||||
| Wheat | 000 ha | 3,269 | 3,166 | 2,933 | 3,248 | 3,100 | -5% | -1% | -2% | ABARES (2018a) |
| Barley | 000 ha | 715 | 882 | 966 | 1,056 | 790 | -25% | -10% | -10% | ABARES (2018a) |
| Rice | 000 ha | 73 | 69 | 25 | 82 | 60 | -27% | -3% | -13% | ABARES (2018a) |
| Sorghum | 000 ha | 175 | 184 | 155 | 117 | 150 | 28% | -4% | -19% | ABARES (2018a) |
| Pulses | 000 ha | 356 | 350 | 605 | 616 | 632 | 3% | 24% | 81% | ABARES (2018a) |
| Oilseeds | 000 ha | 959 | 847 | 755 | 1,175 | 994 | -15% | 5% | 17% | ABARES (2018a) |
| Cotton Lint | 000 ha | 256 | 124 | 163 | 370 | 310 | -16% | 27% | 150% | ABARES (2018a) |
| Sugar Cane | 000 ha | 15 | 14 | 16 | 16 | 16 | -3% | 1% | 8% | ASMC (2018) |
| Other Cropsk | 000 ha | 318 | 415 | 320 | 377 | 343 | -9% | -3% | -17% | ABARES (2018a) |
| Forestry | ||||||||||
| Softwood | 000 ha | 297 | 306 | 307 | 307 | N/A | N/A | N/A | N/A | ABARES (2018c) |
| Hardwood | 000 ha | 91 | 87 | 87 | 87 | N/A | N/A | N/A | N/A | ABARES (2018c) |
| Industry Livestock Numbers (Livestock) | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18s | Year On Year Change (%) | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
| Livestock & Livestock Products | ||||||||||
| Beef Cattle | 000 head | 5,663 | 5,598 | 4,998 | 5,287 | N/A | N/A | N/A | N/A | MLA (2018) |
| Lamb & Mutton Total | million head | 25 | 26 | 26 | 27 | N/A | N/A | N/A | N/A | ABS (2018b) |
| Non Merino Ewes - 1 Year or Greater | million head | 4 | 5 | 5 | 5 | N/A | N/A | N/A | N/A | ABS (2018b) |
| Merino Ewes - 1 Year or Greater | million head | 11 | 10 | 10 | 10 | N/A | N/A | N/A | N/A | ABS (2018b) |
| Pigs | 000 head | 430 | 405 | 488 | 512 | N/A | N/A | N/A | N/A | ABS (2018b) |
| Meat Poultry | million head | N/A | 32 | 32 | 35 | N/A | N/A | N/A | N/A | ABS (2018b) |
| Layers & Pullets | million head | 5 | 5 | 6 | 6 | N/A | N/A | N/A | N/A | ABS (2018b) |
| Dairy Herd Total | 000 head | 327 | 304 | 323 | 295 | N/A | N/A | N/A | N/A | ABS (2018b) |
| Cows in Milk & Dry | 000 head | 177 | 175 | 182 | 164 | N/A | N/A | N/A | N/A | ABS (2018b) |
- k Includes Maize, Oats & Triticale. Hay & silage is excluded from this data
- s Subject to revision
Prices
| Industry Prices | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17s | 2017-18s | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Broadacre Cropping | |||||||||||
| Wheat | $/tonne | 316 | 300 | 277 | 231 | 279 | 20% | 281 | -1% | -7% | ABARES (2018b) |
| Barley | $/tonne | 267 | 280 | 253 | 197 | 281 | 43% | 255 | 10% | 0% | ABARES (2018b) |
| Rice | $/tonne | 340 | 395 | 419 | 313 | 407 | 30% | 375 | 9% | 3% | ABARES (2018b) |
| Sorghum | $/tonne | 300 | 301 | 275 | 238 | 323 | 36% | 287 | 13% | 7% | ABARES (2018b) |
| Pulses(Chickpeas) | $/tonne | 352 | 567 | 784 | 833 | 760 | -9% | 659 | 15% | 34% | ABARES (2018b) |
| Oilseeds (Canola) | $/tonne | 556 | 503 | 532 | 559 | 540 | -3% | 538 | 0% | 7% | ABARES (2018b) |
| Cotton Lint | $/bale | 519 | 451 | 513 | 582 | 582 | 0% | 529 | 10% | 29% | ABARES (2018b) |
| Sugar Cane | $/tonne | 40 | 39 | 37 | 44 | 33 | -25% | 39 | -14% | -15% | ABARES (2018b) |
| Horticulture & Viticulture | |||||||||||
| Fruit (Consumer Price Index) | CPI | 88 | 95 | 91 | 99 | 99 | 0% | 95 | 5% | 5% | ABS (2018c) |
| Vegetables (Consumer Price Index) | CPI | 109 | 115 | 111 | 128 | 117 | -9% | 116 | 1% | 1% | ABS (2018c) |
| Wine Grapes | $/tonne | 441 | 476 | 544 | 565 | 609 | 8% | 527 | 16% | 28% | ABARES (2018b) |
| Livestock & Livestock Products | |||||||||||
| Beef Cattle (EYCI) | Ac/kg cwt | 318 | 401 | 578 | 661 | 541 | -18% | 500 | 8% | 35% | MLA (2018) |
| Beef Cattle (NSW Saleyard Medium Cow) | Ac/kg cwt | 260 | 341 | 468 | 490 | 419 | -14% | 396 | 6% | 23% | MLA (2018) |
| Beef Cattle (NSW Saleyard Trade Steer) | Ac/kg cwt | 351 | 419 | 588 | 656 | 557 | -15% | 514 | 8% | 33% | MLA (2018) |
| Lamb (ESTLI) | Ac/kg cwt | 486 | 520 | 544 | 611 | 616 | 1% | 555 | 11% | 18% | MLA (2018) |
| Mutton (Eastern States Mutton Indicator) | Ac/kg cwt | 268 | 343 | 335 | 425 | 433 | 2% | 361 | 20% | 26% | MLA (2018) |
| Goat (NSW Average OTH Goat Indicators) | Ac/kg cwt | 241 | 373 | 500 | 616 | 498 | -19% | 446 | 12% | 33% | MLA (2018) |
| Pork | Ac/kg cwt | 300 | 310 | 358 | 338 | 261 | -23% | 314 | -17% | -16% | ABARES (2018b) |
| Poultry | Ac/kg cwt | 209 | 226 | 223 | 215 | 217 | 1% | 218 | -1% | -4% | ABARES (2018b) |
| Wool (EMI) | Ac/kg clean | 1,070 | 1,102 | 1,256 | 1,415 | 1,723 | 22% | 1,313 | 31% | 56% | ABARES (2018b) |
| Eggs (Consumer Price Index) | CPI | 108 | 111 | 108 | 109 | 106 | -3% | 108 | -2% | -4% | ABS (2018c) |
| Milk (NSW Farm Gate) | Ac/litre | 51 | 52.8 | 51 | 49 | N/A | N/A | 50 | N/A | N/A | DA (2018b) |
| Forestry & Fisheries | |||||||||||
| Softwood (Implied)r | $/m3 | 71 | 77 | 74 | 75 | N/A | N/A | 74 | N/A | N/A | ABARES (2018c) |
| Hardwood (Implied)r | $/m3 | 117 | 121 | 122 | 129 | N/A | N/A | 122 | N/A | N/A | ABARES (2018c) |
| Fish & Other Seafood (Consumer Price Index) | CPI | 103 | 108 | 109 | 111 | 113 | 2% | 109 | 4% | 5% | ABS (2018e) |
- r Implied price basis ABARES (2018c) output & production data
- s Subject to revision
Exports
| Industry Exports - Total & Top 3 Destinations | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18s | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Broadacre Cropping Sub-total | $m | 2,121 | 1,576 | 1,624 | 2,764 | 1,125 | -59% | 1,842 | -39% | -29% | |
| Wheat | $m | 719 | 489 | 453 | 1,190 | 491 | -59% | 669 | -26% | 0% | GTA (2018) |
| Vietnam | $m | 48 | 38 | 38 | 129 | 112 | -13% | 73 | 53% | 192% | GTA (2018) |
| China | $m | 135 | 106 | 53 | 97 | 68 | -30% | 92 | -26% | -36% | GTA (2018) |
| Italy | $m | 30 | 60 | 73 | 61 | 64 | 4% | 58 | 11% | 6% | GTA (2018) |
| Barleyj | $m | 0 | - | 0 | 0 | - | -100% | 0 | -100% | N/A | GTA (2018) |
| Bahrain | $m | - | - | - | - | - | N/A | 0 | N/A | N/A | GTA (2018) |
| China | $m | - | - | - | - | - | N/A | 0 | N/A | N/A | GTA (2018) |
| Vietnam | $m | - | - | - | 0 | - | -100% | 0 | -100% | N/A | GTA (2018) |
| Rice | $m | 32 | 43 | 23 | 36 | 44 | 23% | 35 | 23% | 2% | GTA (2018) |
| Unidentified Country | $m | 32 | 43 | 23 | 36 | 44 | 22% | 35 | 23% | 1% | GTA (2018) |
| Papua New Guinea | $m | - | 0 | - | 0 | 0 | 170% | 0 | 232% | 634% | GTA (2018) |
| New Zealand | $m | - | - | - | - | - | N/A | 0 | N/A | N/A | GTA (2018) |
| Sorghum | $m | 32 | 65 | 49 | 55 | 42 | -25% | 49 | -15% | -36% | GTA (2018) |
| China | $m | 31 | 64 | 48 | 52 | 41 | -22% | 47 | -14% | -36% | GTA (2018) |
| Taiwan | $m | 1 | 1 | 0 | 1 | 1 | 7% | 1 | 13% | -5% | GTA (2018) |
| New Zealand | $m | - | - | - | - | 0 | N/A | 0 | 400% | N/A | GTA (2018) |
| Pulses | $m | 80 | 169 | 366 | 532 | 333 | -37% | 296 | 13% | 97% | GTA (2018) |
| India | $m | 16 | 57 | 187 | 252 | 190 | -25% | 141 | 35% | 234% | GTA (2018) |
| Bangladesh | $m | 30 | 55 | 58 | 44 | 65 | 46% | 50 | 28% | 18% | GTA (2018) |
| Pakistan | $m | 4 | 9 | 51 | 156 | 39 | -75% | 52 | -24% | 334% | GTA (2018) |
| Oilseeds | $m | 228 | 131 | 136 | 217 | 37 | -83% | 150 | -75% | -72% | GTA (2018) |
| China | $m | 139 | 3 | 6 | 24 | 24 | 2% | 39 | -38% | 817% | GTA (2018) |
| Korea, South | $m | 12 | 5 | 5 | 4 | 4 | -5% | 6 | -34% | -19% | GTA (2018) |
| Japan | $m | 12 | 7 | 12 | 4 | 3 | -29% | 8 | -63% | -61% | GTA (2018) |
| Cotton Lintj | $m | 1,027 | 676 | 593 | 732 | 177 | -76% | 641 | -72% | -74% | GTA (2018) |
| China | $m | 698 | 385 | 335 | 228 | 62 | -73% | 342 | -82% | -84% | GTA (2018) |
| Bangladesh | $m | 19 | 22 | 18 | 84 | 26 | -69% | 33 | -23% | 19% | GTA (2018) |
| Vietnam | $m | 49 | 68 | 82 | 100 | 24 | -76% | 64 | -63% | -65% | GTA (2018) |
| Sugar Cane | $m | 3 | 2 | 3 | 3 | 2 | -50% | 3 | -37% | -31% | GTA (2018) |
| Philippines | $m | 0 | 0 | 0 | 0 | 1 | 108% | 0 | 172% | 272279% | GTA (2018) |
| New Zealand | $m | 0 | 0 | 2 | 1 | 0 | -75% | 1 | -55% | -17% | GTA (2018) |
| Singapore | $m | 0 | 0 | 0 | 0 | 0 | -20% | 0 | -13% | -14% | GTA (2018) |
| Horticulture Sub-totalh | $m | 197 | 212 | 240 | 325 | 365 | 12% | 268 | 36% | 72% | |
| Horticulture | $m | 197 | 212 | 240 | 325 | 365 | 12% | 268 | 36% | 72% | GTA (2018) |
| China | $m | 30 | 20 | 21 | 44 | 65 | 50% | 36 | 82% | 233% | GTA (2018) |
| Japan | $m | 24 | 22 | 31 | 41 | 39 | -4% | 31 | 25% | 79% | GTA (2018) |
| Hong Kong | $m | 24 | 21 | 26 | 45 | 36 | -21% | 30 | 17% | 72% | GTA (2018) |
| Wine Grapeh | $m | 468 | 490 | 507 | 508 | 520 | 2% | 498 | 4% | 6% | GTA (2018) |
| United States | $m | 249 | 253 | 261 | 245 | 227 | -8% | 247 | -8% | -11% | GTA (2018) |
| United Kingdom | $m | 61 | 57 | 50 | 51 | 86 | 68% | 61 | 41% | 51% | GTA (2018) |
| China | $m | 29 | 32 | 43 | 58 | 66 | 14% | 46 | 44% | 103% | GTA (2018) |
| Livestock & Livestock Products Sub-total | $m | 2,216 | 2,872 | 2,686 | 2,606 | 3,175 | 22% | 2,711 | 17% | 11% | |
| Beef Cattle | $m | 1,184 | 1,722 | 1,577 | 1,304 | 1,480 | 14% | 1,453 | 2% | -14% | GTA (2018) |
| Japan | $m | 236 | 318 | 320 | 358 | 383 | 7% | 323 | 19% | 20% | GTA (2018) |
| United States | $m | 244 | 628 | 464 | 248 | 283 | 14% | 373 | -24% | -55% | GTA (2018) |
| China | $m | 168 | 180 | 209 | 149 | 249 | 67% | 191 | 30% | 38% | GTA (2018) |
| Lamb, Mutton & Goat | $m | 443 | 505 | 475 | 566 | 753 | 33% | 549 | 37% | 49% | GTA (2018) |
| China | $m | 118 | 99 | 57 | 103 | 224 | 118% | 120 | 87% | 127% | GTA (2018) |
| United States | $m | 60 | 97 | 159 | 185 | 192 | 4% | 138 | 38% | 98% | GTA (2018) |
| Japan | $m | 34 | 34 | 32 | 34 | 47 | 35% | 36 | 28% | 35% | GTA (2018) |
| Pork | $m | 18 | 16 | 21 | 27 | 31 | 13% | 23 | 38% | 99% | GTA (2018) |
| Singapore | $m | 6 | 5 | 8 | 12 | 11 | -8% | 9 | 33% | 139% | GTA (2018) |
| New Zealand | $m | 4 | 2 | 4 | 3 | 6 | 106% | 4 | 64% | 154% | GTA (2018) |
| Papua New Guinea | $m | 2 | 2 | 2 | 3 | 4 | 58% | 3 | 69% | 83% | GTA (2018) |
| Poultry | $m | 9 | 15 | 18 | 22 | 23 | 5% | 17 | 33% | 55% | GTA (2018) |
| Japan | $m | - | 2 | 6 | 2 | 4 | 97% | 3 | 60% | 154% | GTA (2018) |
| Hong Kong | $m | 0 | 1 | 1 | 1 | 3 | 139% | 1 | 157% | 400% | GTA (2018) |
| Solomon Islands | $m | 2 | 3 | 4 | 4 | 3 | -16% | 3 | -5% | 2% | GTA (2018) |
| Wool | $m | 557 | 605 | 584 | 673 | 866 | 29% | 657 | 32% | 43% | GTA (2018) |
| China | $m | 414 | 453 | 442 | 532 | 715 | 34% | 511 | 40% | 58% | GTA (2018) |
| Italy | $m | 59 | 63 | 64 | 80 | 65 | -19% | 66 | -2% | 3% | GTA (2018) |
| Czech Republic | $m | 39 | 42 | 34 | 31 | 44 | 41% | 38 | 15% | 3% | GTA (2018) |
| Eggs | $m | 0 | 1 | 2 | 4 | 12 | 218% | 4 | 224% | 1167% | GTA (2018) |
| Philippines | $m | - | 1 | - | 2 | 11 | 616% | 3 | 318% | 1667% | GTA (2018) |
| Singapore | $m | - | 0 | - | 0 | 0 | 1976% | 0 | 309% | 477% | GTA (2018) |
| Sri Lanka | $m | - | - | - | - | 0 | N/A | 0 | 400% | N/A | GTA (2018) |
| Milk | $m | 4 | 8 | 10 | 10 | 10 | 0% | 8 | 18% | 25% | GTA (2018) |
| China | $m | 1 | 3 | 5 | 2 | 4 | 84% | 3 | 33% | 35% | GTA (2018) |
| Singapore | $m | 0 | 0 | 2 | 5 | 3 | -42% | 2 | 48% | 5818% | GTA (2018) |
| Hong Kong | $m | 1 | 1 | 1 | 1 | 2 | 63% | 1 | 30% | 39% | GTA (2018) |
| Forestry & Fisheries Sub-total | $m | 72 | 104 | 104 | 149 | 156 | 5% | 117 | 33% | 51% | |
| Forestry | $m | 62 | 91 | 92 | 138 | 147 | 6% | 106 | 38% | 61% | GTA (2018) |
| China | $m | 38 | 67 | 68 | 111 | 127 | 15% | 82 | 55% | 89% | GTA (2018) |
| Taiwan | $m | 11 | 11 | 9 | 16 | 8 | -48% | 11 | -26% | -27% | GTA (2018) |
| New Zealand | $m | 1 | 2 | 2 | 3 | 3 | 0% | 2 | 23% | 41% | GTA (2018) |
| Fisheries | $m | 10 | 12 | 12 | 11 | 9 | -15% | 11 | -16% | -26% | GTA (2018) |
| Japan | $m | 2 | 1 | 2 | 2 | 2 | 1% | 2 | 15% | 53% | GTA (2018) |
| Vietnam | $m | 2 | 2 | 3 | 3 | 2 | -22% | 2 | -17% | -8% | GTA (2018) |
| New Zealand | $m | 1 | 2 | 1 | 1 | 2 | 12% | 1 | 16% | -5% | GTA (2018) |
| Other Commodities Sub-totali | $m | 469 | 510 | 543 | 481 | 545 | 13% | 510 | 7% | 7% | GTA (2018) |
| TOTAL EXPORTS | $m | 5,076 | 5,274 | 5,196 | 6,326 | 5,366 | -15% | 5,447 | -1% | 2% |
- h Wine is excluded from the total, due to classification wine becomes a processed product post farm gate and therefore excluded
- i Includes but not exclusive to other cereals, other broadacre crops, hay & silage, animal products n.e.d
- j Due to confidentiality, ABS export data restrictions have been applied and values are under-reported as a result
- s subject to revision
Imports Trade Balance
| Industry Imports - Total | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18s | Year On Year Change (%) | 5 Year Average | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Broadacre Cropping Sub-total | $m | 108 | 114 | 118 | 110 | 115 | 5% | 113 | 2% | 1% | |
| Wheat | $m | 0 | 0 | 0 | 0 | 0 | 150% | 0 | 15% | -7% | GTA (2018) |
| Barleyj | $m | 0 | 0 | 0 | 0 | 0 | -24% | 0 | -14% | -25% | GTA (2018) |
| Rice | $m | 73 | 81 | 83 | 76 | 79 | 4% | 79 | 1% | -2% | GTA (2018) |
| Sorghum | $m | - | 0 | 0 | 0 | - | -100% | 0 | -100% | -100% | GTA (2018) |
| Pulses | $m | 9 | 9 | 12 | 13 | 17 | 29% | 12 | 38% | 88% | GTA (2018) |
| Oilseeds | $m | 18 | 17 | 16 | 15 | 14 | -10% | 16 | -14% | -20% | GTA (2018) |
| Cotton Lintj | $m | 0 | 0 | 0 | 0 | 0 | -44% | 0 | -28% | -34% | GTA (2018) |
| Sugar Cane | $m | 7 | 7 | 5 | 5 | 5 | -4% | 6 | -15% | -28% | GTA (2018) |
| Horticulture Sub-totalh | $m | 785 | 912 | 993 | 1,046 | 1,016 | -3% | 951 | 7% | 11% | |
| Horticulture | $m | 785 | 912 | 993 | 1,046 | 1,016 | -3% | 951 | 7% | 11% | GTA (2018) |
| Wine Grapesh | $m | 230 | 240 | 264 | 231 | 249 | 8% | 243 | 3% | 4% | GTA (2018) |
| Livestock & Livestock Products Sub-total | $m | 169 | 179 | 163 | 180 | 162 | -10% | 171 | -5% | -10% | |
| Beef Cattle | $m | 7 | 5 | 12 | 10 | 5 | -47% | 8 | -31% | 3% | GTA (2018) |
| Lamb, Mutton & Goat | $m | 4 | 1 | 0 | 0 | 1 | 107% | 1 | -23% | -24% | GTA (2018) |
| Pork | $m | 152 | 167 | 145 | 163 | 147 | -10% | 155 | -5% | -12% | GTA (2018) |
| Poultry | $m | 0 | - | - | - | 2 | N/A | 0 | 392% | N/A | GTA (2018) |
| Wool | $m | 0 | 0 | 0 | 0 | 0 | -59% | 0 | -67% | -76% | GTA (2018) |
| Eggs | $m | 5 | 4 | 4 | 6 | 5 | -20% | 5 | -2% | 26% | GTA (2018) |
| Milk | $m | 1 | 2 | 2 | 1 | 1 | 26% | 1 | -14% | -31% | GTA (2018) |
| Forestry & Fisheries Sub-total | $m | 608 | 677 | 700 | 692 | 728 | 5% | 681 | 7% | 8% | |
| Forestry | $m | 116 | 137 | 121 | 120 | 135 | 12% | 126 | 7% | -2% | GTA (2018) |
| Fisheries | $m | 492 | 540 | 579 | 572 | 594 | 4% | 556 | 7% | 10% | GTA (2018) |
| Other Commodities Sub-totali | $m | 173 | 168 | 184 | 174 | 172 | -1% | 174 | -1% | 2% | GTA (2018) |
| TOTAL IMPORTS | $m | 1,844 | 2,051 | 2,158 | 2,203 | 2,193 | 0% | 2,090 | 5% | 7% | |
| Industry Trade Balance - Total | Units | 2013-14 | 2014-15 | 2015-16 | 2016-17 | 2017-18s | Year On Year Change (%) | 5 Year MA Change (%) | 3 Year Change (%) | Data Source PDI Shortname | |
| Broadacre Cropping Sub-total | $m | 2,013 | 1,462 | 1,506 | 2,654 | 1,010 | -62% | -42% | -31% | ||
| Wheat | $m | 719 | 489 | 453 | 1,189 | 491 | -59% | -27% | 0% | GTA (2018) | |
| Barleyj | $m | -0 | -0 | -0 | -0 | -0 | 25% | -4% | -25% | GTA (2018) | |
| Rice | $m | -41 | -38 | -60 | -41 | -36 | -12% | -17% | -6% | GTA (2018) | |
| Sorghum | $m | 32 | 65 | 49 | 55 | 42 | -25% | -15% | -36% | GTA (2018) | |
| Pulses | $m | 71 | 160 | 354 | 519 | 317 | -39% | 11% | 97% | GTA (2018) | |
| Oilseeds | $m | 209 | 114 | 120 | 202 | 23 | -89% | -83% | -80% | GTA (2018) | |
| Cotton Lintj | $m | 1,027 | 676 | 593 | 732 | 177 | -76% | -72% | -74% | GTA (2018) | |
| Sugar Cane | $m | -4 | -4 | -2 | -2 | -3 | 82% | 3% | -26% | GTA (2018) | |
| Horticulture Sub-totalh | $m | -588 | -700 | -753 | -721 | -651 | -10% | -5% | -7% | ||
| Horticulture | $m | -588 | -700 | -753 | -721 | -651 | -10% | -5% | -7% | GTA (2018) | |
| Wine Grapesh | $m | 103 | 108 | 120 | 94 | 105 | 11% | -1% | -3% | GTA (2018) | |
| Livestock & Livestock Products Sub-total | $m | 2,046 | 2,692 | 2,522 | 2,426 | 3,013 | 24% | 19% | 12% | ||
| Beef Cattle | $m | 1,177 | 1,717 | 1,566 | 1,293 | 1,474 | 14% | 2% | -14% | GTA (2018) | |
| Lamb, Mutton & Goat | $m | 440 | 504 | 474 | 566 | 752 | 33% | 37% | 49% | GTA (2018) | |
| Pork | $m | -134 | -151 | -125 | -135 | -116 | -14% | -12% | -23% | GTA (2018) | |
| Poultry | $m | 9 | 15 | 18 | 22 | 21 | -5% | 24% | 40% | GTA (2018) | |
| Wool | $m | 557 | 605 | 583 | 673 | 866 | 29% | 32% | 43% | GTA (2018) | |
| Eggs | $m | -5 | -3 | -2 | -2 | 8 | -517% | -978% | -388% | GTA (2018) | |
| Milk | $m | 3 | 6 | 8 | 9 | 8 | -3% | 24% | 40% | GTA (2018) | |
| Forestry & Fisheries Sub-total | $m | -536 | -573 | -596 | -543 | -572 | 5% | 1% | 0% | ||
| Forestry | $m | -54 | -45 | -30 | 18 | 12 | -32% | -163% | -127% | GTA (2018) | |
| Fisheries | $m | -482 | -528 | -567 | -561 | -585 | 4% | 7% | 11% | GTA (2018) | |
| Other Commodities Sub-totali | $m | 296 | 342 | 359 | 306 | 373 | 22% | 11% | 9% | GTA (2017) | |
| TOTAL TRADE BALANCE | $m | 3,232 | 3,223 | 3,038 | 4,122 | 3,173 | -23% | -5% | -2% |
- h Wine is excluded from the total, due to classification wine becomes a processed product post farm gate and therefore excluded
- i Includes but not exclusive to other cereals, other broadacre crops, hay & silage, animal products n.e.d
- j Due to confidentiality, ABS export data restrictions have been applied and values are under-reported as a result
- s subject to revision
Jobs & Businesses
| Jobs & Businesses Agreggated | Units | Directly employedl | Manufacturingl | Direct Businessesm | Manufacturing Businessesm |
|---|---|---|---|---|---|
| Agriculture | No. | 63,310 | 60,778 | 46,757 | 45,289 |
| Fisheries | No. | 1,406 | 665 | 1,254 | 1,468 |
| Forestry | No. | 551 | 23,980 | 1,159 | 4,912 |
| Support Services | No. | 7,917 | - | 4,204 | - |
| Total | No. | 73,183 | 85,423 | 53,374 | 51,669 |
| Sources | ABS (2018e) | ABS (2018e) | ABS (2018f) | ABS (2018f) | |
| ABS (2018f) | |||||
| ABS (2018g) | |||||
| Jobs & Businesses By Industry Group | Units | Directly employedl | Manufacturingl | Direct Businessesm | Manufacturing Businessesm |
| Agriculture, Forestry and Fishing Sub-total | No. | 73,183 | 85,423 | 53,374 | 51,669 |
| A00 Agriculture, Forestry and Fishing nfd | No. | 187 | - | - | - |
| Agriculture Sub-total | No. | 63,122 | - | 46,757 | - |
| 010 Agriculture nfd | No. | 9,926 | - | - | - |
| 011 Nursery and Floriculture Production | No. | 3,652 | - | 695 | - |
| 012 Mushroom and Vegetable Growing | No. | 3,527 | - | 1,468 | - |
| 013 Fruit and Tree Nut Growing | No. | 8,164 | - | 3,573 | - |
| 014 Sheep, Beef Cattle and Grain Farming | No. | 28,217 | - | 35,020 | - |
| 015 Other Crop Growing | No. | 1,669 | - | 1,460 | - |
| 016 Dairy Cattle Farming | No. | 1,887 | - | 1,494 | - |
| 017 Poultry Farming | No. | 2,680 | - | 582 | - |
| 018 Deer Farming | No. | - | - | 31 | - |
| 019 Other Livestock Farming | No. | 3,401 | - | 2,434 | - |
| Aquaculture Sub-total | No. | 723 | - | 358 | - |
| 020 Aquaculture | No. | 723 | - | 358 | - |
| Forestry and Logging Sub-total | No. | 551 | - | 1,159 | - |
| 030 Forestry and Logging | No. | 551 | - | 1,159 | - |
| Fishing, Hunting and Trapping Sub-total | No. | 683 | - | 896 | - |
| 040 Fishing, Hunting and Trapping nfd | No. | - | - | - | - |
| 041 Fishing | No. | 683 | - | 708 | - |
| 042 Hunting and Trapping | No. | - | - | 188 | - |
| Agriculture, Forestry and Fishing Support Services Sub-total | No. | 7,917 | - | 4,204 | - |
| 051 Forestry Support Services | No. | 1,439 | - | 253 | - |
| 052 Agriculture and Fishing Support Services | No. | 6,478 | - | 3,951 | - |
| Food Product Manufacturing Sub-total | No. | - | 61,443 | - | 46,757 |
| 110 Food Product Manufacturing nfd | No. | - | 7,125 | - | - |
| 111 Meat and Meat Product Manufacturing | No. | - | 17,863 | - | 695 |
| 112 Seafood Processing | No. | - | 665 | - | 1,468 |
| 113 Dairy Product Manufacturing | No. | - | 4,459 | - | 3,573 |
| 114 Fruit and Vegetable Processing | No. | - | 2,440 | - | 35,020 |
| 115 Oil and Fat Manufacturing | No. | - | 1,060 | - | 1,460 |
| 116 Grain Mill and Cereal Product Manufacturing | No. | - | 3,045 | - | 1,494 |
| 117 Bakery Product Manufacturing | No. | - | 16,689 | - | 582 |
| 118 Sugar and Confectionery Manufacturing | No. | - | 3,074 | - | 31 |
| 119 Other Food Product Manufacturing | No. | - | 5,023 | - | 2,434 |
| Wood Product Manufacturing Sub-total | No. | - | 20,210 | - | 708 |
| 141 Log Sawmilling and Timber Dressing | No. | - | 3,589 | - | 708 |
| 149 Other Wood Product Manufacturing | No. | - | 16,621 | - | - |
| Pulp, Paper and Converted Paper Product Manufacturing Sub-total | No. | - | 3,770 | - | 4,204 |
| 150 Pulp, Paper and Converted Paper Product Manufacturing nfd | No. | - | 980 | - | - |
| 151 Pulp, Paper and Paperboard Manufacturing | No. | - | 604 | - | 253 |
| 152 Converted Paper Product Manufacturing | No. | - | 2,186 | - | 3,951 |
| Sources | ABS (2018e) | ABS (2018e) | ABS (2018f) | ABS (2018f) | |
| ABS (2018f) | |||||
| ABS (2018g) |
- l DPI estimate calculated as average total employment over four quarters to May 2018 of labour force employment data by relevant to each industry. Relevant ANZSIC divisions are Agriculture, Forestry and Fishing (division A) and relevant sub divisions of Manufacturing (division C). Data was sourced from ABS (2018f)
- m DPI estimate using the same ANZSIC classifications in footnote l. Data is based on June 2017 using source ABS (2017g)
