1 Including “other meat”.
Table A14 – Bovine meat statistics (thousand tonnes, carcass weight equivalent)
|
|
|
Production
|
Imports
|
Exports
|
Utilization
|
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
ASIA
|
15 799
|
16 070
|
2 195
|
2 267
|
704
|
732
|
17 282
|
17 606
|
China
|
6 324
|
6 424
|
266
|
289
|
83
|
79
|
6 506
|
6 633
|
India
|
2 770
|
2 750
|
1
|
1
|
560
|
589
|
2 211
|
2 162
|
Indonesia
|
480
|
500
|
90
|
100
|
-
|
-
|
570
|
600
|
Iran, Islamic Republic of
|
373
|
378
|
95
|
100
|
-
|
-
|
468
|
478
|
Japan
|
510
|
520
|
620
|
600
|
1
|
1
|
1 117
|
1 119
|
Korea, Republic of
|
240
|
245
|
276
|
281
|
1
|
1
|
515
|
525
|
Malaysia
|
27
|
28
|
120
|
130
|
4
|
4
|
143
|
154
|
Pakistan
|
1 168
|
1 226
|
7
|
7
|
10
|
11
|
1 165
|
1 223
|
Philippines
|
250
|
255
|
120
|
125
|
-
|
-
|
370
|
380
|
AFRICA
|
4 778
|
4 841
|
666
|
666
|
54
|
54
|
5 390
|
5 453
|
Algeria
|
120
|
121
|
70
|
66
|
-
|
-
|
190
|
187
|
Angola
|
85
|
85
|
102
|
105
|
-
|
-
|
187
|
190
|
Egypt
|
417
|
436
|
300
|
295
|
1
|
1
|
716
|
730
|
South Africa
|
806
|
807
|
40
|
45
|
4
|
4
|
842
|
848
|
CENTRAL AMERICA
|
2 298
|
2 330
|
497
|
526
|
106
|
113
|
2 689
|
2 743
|
Mexico
|
1 672
|
1 690
|
398
|
421
|
36
|
39
|
2 034
|
2 072
|
SOUTH AMERICA
|
14 848
|
14 984
|
262
|
330
|
2 642
|
2 805
|
12 468
|
12 509
|
Argentina
|
3 089
|
3 050
|
3
|
3
|
353
|
320
|
2 739
|
2 733
|
Brazil
|
8 750
|
8 900
|
25
|
23
|
1 625
|
1 800
|
7 150
|
7 123
|
Chile
|
245
|
250
|
30
|
85
|
19
|
19
|
256
|
316
|
Colombia
|
899
|
912
|
3
|
3
|
90
|
95
|
812
|
820
|
Uruguay
|
515
|
525
|
4
|
3
|
372
|
398
|
147
|
130
|
Venezuela
|
450
|
447
|
185
|
200
|
-
|
-
|
635
|
647
|
NORTH AMERICA
|
13 442
|
13 340
|
1 390
|
1 445
|
1 156
|
1 270
|
13 695
|
13 514
|
Canada
|
1 290
|
1 251
|
236
|
250
|
406
|
400
|
1 125
|
1 101
|
United States of America
|
12 152
|
12 089
|
1 150
|
1 191
|
750
|
870
|
12 566
|
12 410
|
EUROPE
|
11 216
|
11 119
|
1 539
|
1 708
|
230
|
233
|
12 525
|
12 594
|
European Union
|
8 238
|
8 200
|
400
|
500
|
100
|
100
|
8 538
|
8 600
|
Russian Federation
|
1 586
|
1 550
|
1 033
|
1 061
|
8
|
8
|
2 611
|
2 603
|
Ukraine
|
587
|
540
|
16
|
55
|
17
|
9
|
586
|
586
|
OCEANIA
|
2 750
|
2 703
|
50
|
52
|
1 775
|
1 750
|
1 024
|
1 005
|
Australia
|
2 143
|
2 113
|
7
|
7
|
1 295
|
1 280
|
853
|
839
|
New Zealand
|
588
|
571
|
12
|
12
|
478
|
468
|
122
|
115
|
WORLD
|
65 131
|
65 388
|
6 599
|
6 994
|
6 667
|
6 957
|
65 073
|
65 424
|
Developing countries
|
34 906
|
35 347
|
2 833
|
3 006
|
3 499
|
3 696
|
34 245
|
34 656
|
Developed countries
|
30 226
|
30 041
|
3 766
|
3 988
|
3 168
|
3 260
|
30 829
|
30 768
|
LIFDCs
|
16 914
|
17 207
|
850
|
868
|
796
|
834
|
16 969
|
17 242
|
LDCs
|
2 758
|
2 791
|
151
|
156
|
2
|
2
|
2 907
|
2 945
|
NFIDCs
|
3 222
|
3 323
|
633
|
651
|
72
|
73
|
3 783
|
3 900
|
Table A15 – Ovine meat statistics (thousand tonnes, carcass weight equivalent)
|
|
|
Production
|
Imports
|
Exports
|
Utilization
|
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
ASIA
|
8 810
|
8 867
|
301
|
309
|
47
|
53
|
9 064
|
9 123
|
Bangladesh
|
210
|
220
|
-
|
-
|
-
|
-
|
210
|
220
|
China
|
4 953
|
4 963
|
102
|
105
|
26
|
31
|
5 030
|
5 037
|
India
|
775
|
780
|
-
|
-
|
7
|
7
|
768
|
773
|
Iran, Islamic Republic of
|
498
|
500
|
-
|
-
|
-
|
-
|
498
|
500
|
Pakistan
|
530
|
535
|
1
|
1
|
7
|
8
|
524
|
528
|
Saudi Arabia
|
100
|
98
|
65
|
65
|
5
|
5
|
160
|
158
|
Syria
|
210
|
215
|
-
|
-
|
-
|
-
|
210
|
215
|
Turkey
|
318
|
318
|
-
|
-
|
-
|
-
|
318
|
318
|
AFRICA
|
2 152
|
2 167
|
54
|
55
|
13
|
15
|
2 193
|
2 208
|
Algeria
|
193
|
191
|
9
|
10
|
-
|
-
|
202
|
201
|
Nigeria
|
256
|
258
|
-
|
-
|
-
|
-
|
256
|
258
|
South Africa
|
156
|
157
|
13
|
13
|
-
|
-
|
169
|
170
|
Sudan
|
335
|
330
|
-
|
-
|
1
|
1
|
334
|
329
|
CENTRAL AMERICA
|
122
|
126
|
51
|
53
|
-
|
-
|
174
|
179
|
Mexico
|
97
|
100
|
36
|
38
|
-
|
-
|
133
|
138
|
SOUTH AMERICA
|
352
|
359
|
5
|
6
|
27
|
27
|
330
|
339
|
Brazil
|
127
|
128
|
5
|
6
|
-
|
-
|
132
|
134
|
NORTH AMERICA
|
118
|
118
|
109
|
109
|
5
|
3
|
222
|
223
|
United States of America
|
100
|
100
|
87
|
86
|
5
|
3
|
182
|
183
|
EUROPE
|
1 418
|
1 420
|
296
|
295
|
10
|
19
|
1 705
|
1 696
|
European Union
|
1 136
|
1 130
|
273
|
273
|
5
|
14
|
1 404
|
1 389
|
Russian Federation
|
165
|
170
|
12
|
10
|
-
|
-
|
177
|
180
|
OCEANIA
|
1 171
|
1 151
|
49
|
51
|
742
|
714
|
479
|
488
|
Australia
|
600
|
590
|
-
|
1
|
327
|
304
|
273
|
286
|
New Zealand
|
570
|
560
|
4
|
4
|
415
|
410
|
159
|
154
|
WORLD
|
14 143
|
14 209
|
867
|
878
|
845
|
831
|
14 165
|
14 255
|
Developing countries
|
10 818
|
10 890
|
423
|
436
|
88
|
95
|
11 153
|
11 232
|
Developed countries
|
3 326
|
3 319
|
444
|
441
|
757
|
736
|
3 012
|
3 023
|
LIFDCs
|
9 159
|
9 227
|
110
|
112
|
41
|
46
|
9 228
|
9 292
|
LDCs
|
1 394
|
1 411
|
6
|
6
|
1
|
1
|
1 399
|
1 416
|
NFIDCs
|
989
|
1 003
|
42
|
43
|
15
|
17
|
1 016
|
1 028
|
Table A16 – Pigmeat statistics (thousand tonnes, carcass weight equivalent)
|
|
|
Production
|
Imports
|
Exports
|
Utilization
|
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
ASIA
|
54 228
|
54 700
|
2 971
|
2 978
|
325
|
314
|
56 917
|
57 363
|
China
|
44 886
|
45 221
|
921
|
867
|
274
|
262
|
45 533
|
45 826
|
of which Hong Kong, SAR
|
185
|
190
|
363
|
372
|
110
|
120
|
438
|
442
|
India
|
500
|
500
|
-
|
-
|
1
|
1
|
499
|
499
|
Indonesia
|
610
|
620
|
4
|
4
|
3
|
3
|
611
|
621
|
Japan
|
1 156
|
1 150
|
1 184
|
1 215
|
-
|
-
|
2 355
|
2 365
|
Korea, DPR
|
170
|
172
|
90
|
90
|
-
|
-
|
260
|
262
|
Korea, Republic of
|
951
|
970
|
452
|
473
|
12
|
11
|
1 419
|
1 431
|
Malaysia
|
230
|
230
|
19
|
17
|
3
|
3
|
246
|
244
|
Philippines
|
1 538
|
1 577
|
55
|
60
|
-
|
-
|
1 593
|
1 637
|
Thailand
|
720
|
730
|
-
|
-
|
10
|
11
|
710
|
719
|
Viet Nam
|
2 510
|
2 540
|
30
|
30
|
17
|
17
|
2 523
|
2 553
|
AFRICA
|
843
|
855
|
135
|
139
|
8
|
8
|
970
|
986
|
Madagascar
|
78
|
80
|
-
|
-
|
-
|
-
|
78
|
80
|
Nigeria
|
215
|
218
|
-
|
-
|
-
|
-
|
215
|
218
|
South Africa
|
148
|
149
|
29
|
28
|
2
|
2
|
175
|
175
|
Uganda
|
65
|
65
|
-
|
-
|
-
|
-
|
65
|
65
|
CENTRAL AMERICA
|
1 513
|
1 545
|
590
|
602
|
114
|
120
|
1 989
|
2 028
|
Cuba
|
100
|
100
|
20
|
22
|
-
|
-
|
120
|
122
|
Mexico
|
1 142
|
1 170
|
470
|
475
|
97
|
101
|
1 515
|
1 544
|
SOUTH AMERICA
|
4 931
|
5 070
|
57
|
57
|
785
|
812
|
4 203
|
4 316
|
Argentina
|
235
|
240
|
25
|
25
|
1
|
1
|
258
|
264
|
Brazil
|
3 368
|
3 482
|
-
|
-
|
650
|
675
|
2 718
|
2 807
|
Chile
|
480
|
490
|
4
|
4
|
132
|
133
|
352
|
361
|
Colombia
|
199
|
201
|
6
|
7
|
-
|
-
|
205
|
208
|
Venezuela
|
139
|
139
|
2
|
2
|
-
|
-
|
141
|
141
|
NORTH AMERICA
|
12 450
|
12 187
|
590
|
609
|
3 014
|
3 086
|
10 008
|
9 707
|
Canada
|
1 800
|
1 750
|
185
|
210
|
914
|
886
|
1 071
|
1 074
|
United States of America
|
10 650
|
10 437
|
400
|
394
|
2 100
|
2 200
|
8 932
|
8 628
|
EUROPE
|
26 367
|
26 155
|
1 192
|
1 240
|
1 451
|
1 443
|
26 108
|
25 952
|
Belarus
|
388
|
400
|
5
|
5
|
100
|
110
|
293
|
295
|
European Union
|
22 300
|
22 100
|
50
|
55
|
1 300
|
1 280
|
21 050
|
20 875
|
Russian Federation
|
1 910
|
2 042
|
837
|
840
|
25
|
27
|
2 722
|
2 855
|
Serbia
|
620
|
620
|
25
|
25
|
13
|
13
|
632
|
632
|
Ukraine
|
618
|
451
|
134
|
172
|
-
|
-
|
752
|
623
|
OCEANIA
|
497
|
492
|
185
|
195
|
43
|
47
|
639
|
640
|
Australia
|
359
|
354
|
134
|
140
|
43
|
46
|
451
|
448
|
Papua New Guinea
|
68
|
68
|
4
|
4
|
-
|
-
|
72
|
72
|
WORLD
|
100 829
|
101 005
|
5 720
|
5 820
|
5 740
|
5 829
|
100 833
|
100 992
|
Developing countries
|
59 977
|
60 632
|
2 493
|
2 486
|
1 229
|
1 250
|
61 269
|
61 868
|
Developed countries
|
40 852
|
40 372
|
3 227
|
3 334
|
4 511
|
4 579
|
39 565
|
39 124
|
LIFDCs
|
48 083
|
48 469
|
901
|
850
|
278
|
267
|
48 706
|
49 053
|
LDCs
|
1 035
|
1 067
|
74
|
77
|
-
|
-
|
1 108
|
1 144
|
NFIDCs
|
490
|
494
|
91
|
97
|
5
|
5
|
576
|
586
|
Table A17 Poultry meat statistics (thousand tonnes, carcass weight equivalent)
|
|
|
Production
|
Imports
|
Exports
|
Utilization
|
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
2008
|
2009
|
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
ASIA
|
32 640
|
33 925
|
5 262
|
5 564
|
1 585
|
1 692
|
36 331
|
37 797
|
China
|
17 347
|
18 010
|
2 141
|
2 274
|
857
|
932
|
18 631
|
19 352
|
of which Hong Kong, SAR
|
43
|
44
|
750
|
820
|
400
|
450
|
393
|
414
|
India
|
2 400
|
2 600
|
-
|
-
|
1
|
1
|
2 399
|
2 599
|
Indonesia
|
1 423
|
1 490
|
11
|
10
|
-
|
-
|
1 434
|
1 500
|
Iran, Islamic Republic of
|
1 540
|
1 652
|
45
|
50
|
24
|
26
|
1 561
|
1 676
|
Japan
|
1 340
|
1 340
|
952
|
1 000
|
6
|
6
|
2 289
|
2 334
|
Korea, Republic of
|
550
|
560
|
90
|
100
|
7
|
8
|
633
|
652
|
Kuwait
|
46
|
47
|
144
|
150
|
69
|
71
|
121
|
126
|
Malaysia
|
1 060
|
1 080
|
31
|
32
|
6
|
6
|
1 086
|
1 106
|
Saudi Arabia
|
570
|
580
|
520
|
550
|
5
|
5
|
1 085
|
1 125
|
Singapore
|
77
|
78
|
130
|
130
|
5
|
5
|
202
|
203
|
Thailand
|
1 222
|
1 298
|
1
|
1
|
525
|
550
|
708
|
749
|
Turkey
|
1 030
|
1 100
|
80
|
85
|
39
|
40
|
1 071
|
1 145
|
Yemen
|
125
|
128
|
95
|
100
|
-
|
-
|
220
|
228
|
AFRICA
|
3 831
|
3 929
|
831
|
856
|
14
|
19
|
4 648
|
4 766
|
Angola
|
9
|
9
|
150
|
155
|
-
|
-
|
159
|
164
|
South Africa
|
1 030
|
1 080
|
270
|
260
|
10
|
15
|
1 290
|
1 325
|
CENTRAL AMERICA
|
4 038
|
4 147
|
994
|
1 041
|
30
|
34
|
5 002
|
5 153
|
Cuba
|
33
|
34
|
135
|
140
|
-
|
-
|
168
|
174
|
Mexico
|
2 728
|
2 810
|
618
|
647
|
12
|
15
|
3 334
|
3 442
|
SOUTH AMERICA
|
14 835
|
15 257
|
302
|
348
|
3 919
|
4 087
|
11 218
|
11 517
|
Argentina
|
1 205
|
1 225
|
9
|
10
|
170
|
180
|
1 044
|
1 055
|
Brazil
|
9 900
|
10 200
|
-
|
-
|
3 650
|
3 800
|
6 250
|
6 400
|
Chile
|
627
|
650
|
30
|
32
|
93
|
100
|
564
|
582
|
Venezuela
|
777
|
815
|
200
|
240
|
-
|
-
|
977
|
1 055
|
NORTH AMERICA
|
21 236
|
21 072
|
304
|
320
|
3 955
|
3 913
|
17 601
|
17 474
|
Canada
|
1 236
|
1 272
|
215
|
230
|
180
|
188
|
1 268
|
1 314
|
United States of America
|
20 000
|
19 800
|
82
|
83
|
3 775
|
3 725
|
16 326
|
16 154
|
EUROPE
|
14 675
|
15 206
|
2 567
|
2 395
|
799
|
793
|
16 445
|
16 808
|
European Union
|
11 300
|
11 391
|
843
|
854
|
773
|
761
|
11 370
|
11 484
|
Russian Federation
|
2 090
|
2 341
|
1 325
|
1 200
|
3
|
4
|
3 413
|
3 537
|
Ukraine
|
804
|
973
|
205
|
150
|
8
|
11
|
1 001
|
1 112
|
OCEANIA
|
1 038
|
1 050
|
45
|
48
|
39
|
41
|
1 044
|
1 057
|
Australia
|
860
|
870
|
2
|
2
|
33
|
35
|
829
|
837
|
New Zealand
|
152
|
153
|
4
|
5
|
6
|
6
|
150
|
152
|
WORLD
|
92 295
|
94 585
|
10 305
|
10 572
|
10 341
|
10 579
|
92 289
|
94 572
|
Developing countries
|
52 304
|
54 148
|
6 061
|
6 432
|
5 523
|
5 802
|
52 851
|
54 777
|
Developed countries
|
39 991
|
40 436
|
4 245
|
4 140
|
4 817
|
4 776
|
39 438
|
39 795
|
LIFDCs
|
25 098
|
26 104
|
2 331
|
2 441
|
480
|
507
|
26 949
|
28 037
|
LDCs
|
1 627
|
1 652
|
517
|
544
|
1
|
1
|
2 143
|
2 195
|
NFIDCs
|
4 473
|
4 566
|
546
|
606
|
14
|
15
|
5 005
|
5 157
|
Table A18 – Milk and milk products statistics (million tonnes, milk equivalent)
|
|
|
Production
|
Imports
|
Exports
|
|
2007
|
2008
|
2009
|
2007
|
2008
|
2009
|
2007
|
2008
|
2009
|
|
|
estim.
|
f’cast
|
|
estim.
|
f’cast
|
|
estim.
|
f’cast
|
ASIA
|
238.5
|
246.8
|
255.9
|
18.6
|
19.0
|
19.0
|
5.0
|
4.8
|
4.9
|
China
|
39.9
|
41.9
|
44.4
|
1.9
|
1.9
|
1.9
|
0.7
|
0.4
|
0.5
|
India1
|
102.9
|
106.0
|
109.2
|
0.1
|
0.1
|
0.1
|
0.4
|
0.4
|
0.4
|
Indonesia
|
0.9
|
0.9
|
0.9
|
1.4
|
1.4
|
1.5
|
0.2
|
0.2
|
0.2
|
Iran, Islamic Republic of
|
7.6
|
7.7
|
7.8
|
0.3
|
0.3
|
0.3
|
-
|
-
|
-
|
Japan
|
8.0
|
8.1
|
8.2
|
1.5
|
1.4
|
1.4
|
-
|
-
|
-
|
Korea, Republic of
|
2.1
|
2.1
|
2.1
|
0.5
|
0.5
|
0.5
|
-
|
-
|
-
|
Malaysia
|
-
|
-
|
-
|
1.3
|
1.4
|
1.4
|
0.4
|
0.4
|
0.2
|
Pakistan
|
33.2
|
35.2
|
37.3
|
0.1
|
0.1
|
0.1
|
-
|
-
|
-
|
Philippines
|
-
|
-
|
-
|
1.4
|
1.5
|
1.5
|
0.2
|
0.3
|
0.3
|
Saudi Arabia
|
1.2
|
1.3
|
1.3
|
1.8
|
1.8
|
1.7
|
1.3
|
1.3
|
1.3
|
Singapore
|
-
|
-
|
-
|
1.1
|
1.0
|
0.9
|
0.7
|
0.6
|
0.6
|
Thailand
|
0.7
|
0.7
|
0.7
|
1.0
|
1.0
|
1.0
|
0.2
|
0.2
|
0.1
|
Turkey
|
12.1
|
12.2
|
12.3
|
0.1
|
0.1
|
0.1
|
-
|
-
|
-
|
AFRICA
|
34.9
|
35.3
|
35.7
|
6.5
|
6.8
|
6.9
|
0.5
|
0.5
|
0.6
|
Algeria
|
1.6
|
1.7
|
1.8
|
2.1
|
2.3
|
2.3
|
0.5
|
0.5
|
0.6
|
Egypt
|
4.6
|
4.7
|
4.7
|
0.8
|
0.8
|
0.7
|
0.1
|
0.1
|
0.1
|
Kenya
|
3.7
|
3.7
|
3.7
|
-
|
-
|
-
|
-
|
-
|
-
|
South Africa
|
3.0
|
3.1
|
3.2
|
0.2
|
0.2
|
0.1
|
0.1
|
0.1
|
0.1
|
Sudan
|
7.3
|
7.4
|
7.4
|
0.2
|
0.2
|
0.2
|
-
|
-
|
-
|
Tunisia
|
1.0
|
1.0
|
1.1
|
0.1
|
0.1
|
0.1
|
0.1
|
0.1
|
0.1
|
CENTRAL AMERICA
|
16.3
|
16.5
|
16.7
|
3.6
|
3.8
|
4.0
|
0.3
|
0.3
|
0.3
|
Costa Rica
|
0.8
|
0.8
|
0.8
|
-
|
-
|
-
|
0.1
|
0.1
|
0.1
|
Mexico
|
10.3
|
10.5
|
10.6
|
1.9
|
2.2
|
2.3
|
0.1
|
0.1
|
0.1
|
SOUTH AMERICA
|
55.8
|
59.0
|
62.4
|
1.7
|
1.9
|
2.0
|
2.7
|
2.9
|
3.1
|
Argentina
|
9.8
|
10.3
|
10.8
|
-
|
-
|
-
|
1.2
|
1.3
|
1.3
|
Brazil
|
28.9
|
31.2
|
33.7
|
0.2
|
0.2
|
0.2
|
0.5
|
0.6
|
0.6
|
Colombia
|
6.8
|
6.9
|
6.9
|
-
|
-
|
-
|
0.1
|
0.1
|
0.1
|
Uruguay
|
1.7
|
1.7
|
1.7
|
-
|
-
|
-
|
0.6
|
0.6
|
0.6
|
Venezuela
|
1.4
|
1.4
|
1.4
|
1.2
|
1.3
|
1.3
|
-
|
-
|
-
|
NORTH AMERICA
|
92.3
|
94.2
|
94.7
|
2.3
|
2.1
|
2.0
|
3.2
|
4.7
|
5.3
|
Canada
|
8.1
|
8.1
|
8.1
|
0.4
|
0.5
|
0.5
|
0.3
|
0.3
|
0.3
|
United States of America
|
84.2
|
86.0
|
86.6
|
1.8
|
1.6
|
1.5
|
3.0
|
4.5
|
5.1
|
EUROPE
|
214.5
|
216.6
|
218.7
|
5.5
|
5.8
|
6.1
|
12.7
|
12.8
|
12.4
|
Belarus
|
5.9
|
6.1
|
6.4
|
-
|
-
|
-
|
1.6
|
1.7
|
1.8
|
European Union
|
151.8
|
153.3
|
154.9
|
1.5
|
1.5
|
1.5
|
9.3
|
9.2
|
8.7
|
Russian Federation
|
32.2
|
32.7
|
33.2
|
3.3
|
3.6
|
3.8
|
0.2
|
0.3
|
0.3
|
Ukraine
|
13.4
|
13.1
|
12.8
|
0.1
|
0.1
|
0.1
|
1.0
|
1.0
|
1.0
|
OCEANIA
|
25.4
|
24.3
|
25.7
|
0.7
|
0.8
|
0.8
|
15.0
|
14.3
|
14.4
|
Australia2
|
9.6
|
9.2
|
9.4
|
0.5
|
0.6
|
0.6
|
3.5
|
3.2
|
3.2
|
New Zealand3
|
15.7
|
15.0
|
16.2
|
-
|
-
|
-
|
11.5
|
11.1
|
11.2
|
WORLD
|
677.7
|
692.7
|
709.7
|
38.9
|
40.2
|
40.8
|
39.3
|
40.4
|
41.0
|
Developing countries
|
316.7
|
328.1
|
340.3
|
28.3
|
29.5
|
29.8
|
8.3
|
8.4
|
8.7
|
Developed countries
|
361.0
|
364.6
|
369.4
|
10.6
|
10.7
|
11.0
|
31.0
|
32.0
|
32.3
|
LIFDCs
|
236.6
|
244.9
|
253.9
|
9.8
|
10.0
|
10.1
|
3.5
|
3.4
|
3.7
|
LDCs
|
25.4
|
25.8
|
26.1
|
2.1
|
2.2
|
2.2
|
0.1
|
0.1
|
0.1
|
NFIDCs
|
50.9
|
53.2
|
55.5
|
5.1
|
5.2
|
5.2
|
0.5
|
0.6
|
0.6
|
1 Dairy years starting April of the year stated (production only).
2 Dairy years ending June of the year stated (production only).
3 Dairy years ending May of the year stated (production only).
Note: Trade figures refer to the milk equivalent trade in the following products: butter (6.60), cheese (4.40), milk powder (7.60), skim condensed/evaporated milk (1.90), whole condensed/evaporated milk (2.10), yoghurt (1.0), cream (3.60), casein (7.40), skim milk (0.70). The conversion factors cited refer to the solids content method. Refer to IDF Bulletin No. 390 (March 2004).
Table A19 – Sugar statistics (million tonnes, raw value)
|
|
|
Production
|
Utilization
|
Imports
|
Exports
|
|
2007/08
|
2008/09
|
2007/08
|
2008/09
|
2007/08
|
2008/09
|
2007/08
|
2008/09
|
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
estim.
|
f’cast
|
ASIA
|
69.2
|
62.7
|
73.3
|
75.7
|
22.2
|
22.5
|
13.4
|
10.6
|
China
|
15.7
|
15.7
|
15.2
|
16.3
|
1.9
|
2.0
|
0.3
|
0.4
|
India
|
28.8
|
23.9
|
24.6
|
25.5
|
-
|
-
|
2.7
|
0.2
|
Indonesia
|
2.9
|
3.0
|
4.6
|
4.8
|
1.9
|
2.0
|
-
|
-
|
Japan
|
0.9
|
0.9
|
2.4
|
2.4
|
1.5
|
1.5
|
-
|
-
|
Pakistan
|
5.2
|
4.0
|
4.5
|
4.8
|
0.3
|
0.4
|
0.4
|
0.3
|
Thailand
|
8.0
|
7.6
|
2.7
|
2.7
|
-
|
-
|
5.0
|
4.6
|
Turkey
|
2.0
|
2.1
|
2.1
|
2.3
|
0.1
|
0.2
|
0.1
|
-
|
AFRICA
|
10.9
|
11.1
|
15.7
|
16.1
|
9.2
|
9.3
|
4.3
|
4.4
|
Egypt
|
1.8
|
1.9
|
2.8
|
2.9
|
1.1
|
1.1
|
0.2
|
0.2
|
Kenya
|
0.6
|
0.6
|
0.9
|
0.9
|
0.3
|
0.3
|
-
|
-
|
Mauritius
|
0.6
|
0.6
|
0.1
|
0.1
|
-
|
-
|
0.5
|
0.5
|
South Africa
|
2.5
|
2.6
|
1.8
|
1.9
|
0.1
|
0.1
|
0.9
|
0.9
|
Sudan
|
0.8
|
0.9
|
1.1
|
1.1
|
0.4
|
0.4
|
0.2
|
0.2
|
Swaziland
|
0.6
|
0.7
|
-
|
-
|
-
|
-
|
0.6
|
0.6
|
CENTRAL AMERICA
|
12.5
|
12.8
|
9.2
|
9.4
|
1.2
|
1.0
|
4.3
|
4.7
|
Cuba
|
1.5
|
1.8
|
0.8
|
0.8
|
0.3
|
0.1
|
0.9
|
1.1
|
Dominican Republic
|
0.5
|
0.5
|
0.3
|
0.3
|
-
|
-
|
0.2
|
0.2
|
Guatemala
|
2.2
|
2.3
|
0.7
|
0.7
|
-
|
-
|
1.3
|
1.4
|
Mexico
|
5.8
|
5.7
|
5.6
|
5.7
|
0.3
|
0.3
|
0.5
|
0.6
|
SOUTH AMERICA
|
40.0
|
41.3
|
19.1
|
19.4
|
1.1
|
1.1
|
21.1
|
22.9
|
Brazil
|
31.9
|
33.2
|
11.9
|
12.1
|
-
|
-
|
19.1
|
20.8
|
NORTH AMERICA
|
7.8
|
7.4
|
10.9
|
11.0
|
3.3
|
3.4
|
0.2
|
0.2
|
United States of America
|
7.7
|
7.3
|
9.5
|
9.5
|
1.9
|
2.0
|
0.2
|
0.2
|
EUROPE
|
24.2
|
20.4
|
29.8
|
29.9
|
8.1
|
10.1
|
2.0
|
0.8
|
European Union
|
17.4
|
14.4
|
18.7
|
19.0
|
3.2
|
4.9
|
1.1
|
0.2
|
Russian Federation
|
3.3
|
3.2
|
6.6
|
6.6
|
3.3
|
3.4
|
0.1
|
0.1
|
Ukraine
|
2.0
|
1.9
|
2.3
|
2.4
|
0.3
|
0.4
|
0.1
|
-
|
OCEANIA
|
5.3
|
5.2
|
1.5
|
1.6
|
0.3
|
0.3
|
3.5
|
3.4
|
Australia
|
5.0
|
4.9
|
1.2
|
1.2
|
-
|
-
|
3.3
|
3.1
|
Fiji
|
0.3
|
0.3
|
0.1
|
0.1
|
-
|
-
|
0.2
|
0.2
|
WORLD
|
169.8
|
160.9
|
159.6
|
163.0
|
45.3
|
47.6
|
48.9
|
47.0
|
Developing countries
|
129.3
|
124.6
|
110.8
|
113.9
|
29.3
|
29.6
|
42.1
|
41.5
|
Developed countries
|
40.5
|
36.3
|
48.8
|
49.1
|
16.0
|
18.1
|
6.8
|
5.5
|
LIFDCs
|
64.6
|
58.6
|
69.5
|
71.9
|
17.1
|
17.5
|
7.9
|
5.5
|
LDCs
|
3.5
|
3.6
|
6.8
|
7.0
|
4.7
|
4.7
|
1.2
|
1.2
|
NFIDCs
|
13.2
|
12.4
|
14.5
|
15.0
|
4.6
|
4.6
|
2.6
|
2.8
|
Table A20 – Fish and fishery products statistics1
|
|
|
Capture fisheries production
|
Aquaculture fisheries production
|
Exports
|
Imports
|
|
2005
|
2006
|
2005
|
2006
|
2005
|
2006
|
2007
|
2005
|
2006
|
2007
|
|
|
|
|
|
|
|
estim.
|
|
|
estim.
|
|
Million tonnes (live weight equivalent)
|
USD billion
|
ASIA
|
44.2
|
45.5
|
40.4
|
43.1
|
26.0
|
29.0
|
30.6
|
27.5
|
28.1
|
28.7
|
China2
|
15.8
|
15.8
|
29.7
|
31.5
|
9.6
|
10.8
|
11.2
|
6.4
|
6.7
|
7.4
|
of which: Hong Kong SAR
|
0.2
|
0.2
|
-
|
-
|
0.4
|
0.4
|
0.4
|
1.9
|
2.0
|
2.2
|
Taiwan Prov.
|
1.0
|
1.0
|
0.3
|
0.3
|
1.7
|
1.4
|
1.5
|
0.5
|
0.5
|
0.6
|
India
|
3.7
|
3.9
|
3.0
|
3.1
|
1.6
|
1.8
|
1.8
|
0.1
|
-
|
-
|
Indonesia
|
4.7
|
4.8
|
1.2
|
1.3
|
1.8
|
2.0
|
2.0
|
0.1
|
0.1
|
0.2
|
Japan
|
4.1
|
4.2
|
0.7
|
0.7
|
1.3
|
1.4
|
1.7
|
14.4
|
14.0
|
13.2
|
Korea, Rep. of
|
1.6
|
1.7
|
0.4
|
0.5
|
1.0
|
0.9
|
1.1
|
2.4
|
2.7
|
3.0
|
Philippines
|
2.2
|
2.3
|
0.6
|
0.6
|
0.4
|
0.4
|
0.5
|
0.1
|
0.1
|
0.1
|
Thailand
|
2.8
|
2.8
|
1.3
|
1.4
|
4.5
|
5.2
|
5.7
|
1.4
|
1.5
|
1.7
|
Viet Nam
|
1.9
|
2.0
|
1.4
|
1.7
|
2.8
|
3.4
|
3.4
|
0.3
|
0.3
|
0.3
|
AFRICA
|
7.5
|
6.9
|
0.6
|
0.8
|
3.7
|
4.1
|
4.5
|
1.8
|
2.0
|
2.3
|
Ghana
|
0.4
|
0.4
|
-
|
-
|
0.1
|
0.1
|
0.1
|
0.2
|
0.1
|
0.2
|
Morocco
|
1.0
|
0.9
|
-
|
-
|
1.1
|
1.2
|
1.4
|
-
|
0.1
|
0.1
|
Namibia
|
0.6
|
0.5
|
-
|
-
|
0.4
|
0.5
|
0.5
|
-
|
-
|
-
|
Nigeria
|
0.5
|
0.6
|
0.1
|
0.1
|
0.1
|
0.1
|
0.1
|
0.4
|
0.5
|
0.5
|
Senegal
|
0.4
|
0.4
|
-
|
-
|
0.3
|
0.3
|
0.3
|
-
|
-
|
-
|
South Africa
|
0.8
|
0.6
|
-
|
-
|
0.4
|
0.4
|
0.5
|
0.1
|
0.2
|
0.2
|
CENTRAL AMERICA
|
1.8
|
1.8
|
0.3
|
0.3
|
1.9
|
1.7
|
2.0
|
0.9
|
0.9
|
1.1
|
Mexico
|
1.3
|
1.3
|
0.1
|
0.2
|
0.6
|
0.7
|
0.8
|
0.4
|
0.4
|
0.5
|
Panama
|
0.2
|
0.2
|
-
|
-
|
0.4
|
0.4
|
0.4
|
-
|
-
|
-
|
SOUTH AMERICA
|
16.7
|
14.5
|
1.1
|
1.3
|
7.6
|
8.9
|
9.1
|
0.7
|
1.0
|
1.2
|
Argentina
|
0.9
|
1.2
|
-
|
-
|
0.8
|
1.3
|
1.1
|
0.1
|
0.1
|
0.1
|
Brazil
|
0.8
|
0.8
|
0.3
|
0.3
|
0.4
|
0.4
|
0.3
|
0.3
|
0.5
|
0.6
|
Chile
|
4.3
|
4.2
|
0.7
|
0.8
|
3.0
|
3.6
|
3.7
|
0.1
|
0.2
|
0.2
|
Ecuador
|
0.4
|
0.4
|
0.1
|
0.1
|
1.0
|
1.3
|
1.4
|
-
|
-
|
0.1
|
Peru
|
9.4
|
7.0
|
-
|
-
|
1.6
|
1.8
|
2.0
|
-
|
-
|
-
|
NORTH AMERICA
|
6.2
|
6.1
|
0.6
|
0.6
|
8.2
|
8.2
|
8.8
|
13.7
|
15.1
|
16.5
|
Canada
|
1.1
|
1.1
|
0.2
|
0.2
|
3.6
|
3.7
|
3.8
|
1.7
|
1.8
|
2.0
|
United States of America
|
4.9
|
4.9
|
0.5
|
0.5
|
4.2
|
4.1
|
4.7
|
12.0
|
13.3
|
14.4
|
EUROPE
|
13.8
|
13.4
|
2.1
|
2.2
|
28.8
|
31.9
|
35.5
|
36.0
|
41.3
|
46.9
|
European Union2
|
5.7
|
5.6
|
1.3
|
1.3
|
19.4
|
21.6
|
23.9
|
32.9
|
37.5
|
42.0
|
Iceland
|
1.7
|
1.3
|
-
|
-
|
1.8
|
1.8
|
2.0
|
0.1
|
0.1
|
0.1
|
Norway
|
2.4
|
2.3
|
0.7
|
0.7
|
4.9
|
5.5
|
6.2
|
0.7
|
0.8
|
1.1
|
Russian Federation
|
3.2
|
3.3
|
0.1
|
0.1
|
2.0
|
2.1
|
2.4
|
1.2
|
1.4
|
2.0
|
OCEANIA
|
1.4
|
1.2
|
0.1
|
0.2
|
2.2
|
2.2
|
2.2
|
1.0
|
1.1
|
1.2
|
Australia
|
0.2
|
0.2
|
-
|
-
|
0.9
|
0.9
|
0.9
|
0.8
|
0.9
|
1.0
|
New Zealand
|
0.5
|
0.5
|
0.1
|
0.1
|
0.9
|
0.9
|
0.9
|
0.1
|
0.1
|
0.1
|
WORLD3
|
91.8
|
89.6
|
45.4
|
48.4
|
78.4
|
85.9
|
92.7
|
81.5
|
89.6
|
98.0
|
Developing countries
|
66.1
|
64.6
|
41.7
|
44.7
|
38.2
|
42.5
|
44.5
|
16.2
|
17.9
|
19.8
|
Developed countries
|
25.6
|
24.8
|
3.7
|
3.7
|
40.2
|
43.4
|
48.1
|
65.3
|
71.7
|
78.1
|
LIFDCs
|
34.9
|
35.1
|
36.0
|
38.3
|
15.1
|
17.2
|
18.0
|
6.1
|
6.5
|
7.2
|
LDCs
|
7.2
|
7.4
|
1.5
|
1.7
|
2.2
|
2.3
|
2.3
|
0.3
|
0.3
|
0.4
|
NFIDCs
|
20.0
|
17.8
|
2.3
|
2.5
|
6.4
|
6.9
|
7.5
|
1.4
|
1.6
|
1.9
|
1 Production and trade data exclude whales, seals, other aquatic mammals and aquatic plants. Trade data include fish meal and fish oil.
2 Including intra-trade. Cyprus is included in the European Union as well as in Asia.
3 For capture fisheries production, the aggregate includes also 125 769 tonnes in 2005 and 107 081 in 2006 of not identified countries, data not included in any other aggregates.
Table A21 - Selected international prices of wheat and coarse grains (USD/tonne)
|
|
|
Wheat
|
Maize
|
Sorghum
|
Period
|
US No.2 Hard
Red Winter Ord. Prot.1
|
US Soft Red
Winter No.22
|
Argentina
Trigo Pan3
|
US No.2
Yellow2
|
Argentina3
|
US No.2
Yellow2
|
Annual (July/June)
|
|
|
|
|
|
|
2003/04
|
161
|
149
|
154
|
115
|
109
|
118
|
2004/05
|
154
|
138
|
123
|
97
|
90
|
99
|
2005/06
|
175
|
138
|
138
|
104
|
101
|
109
|
2006/07
|
212
|
176
|
188
|
150
|
145
|
155
|
2007/08
|
361
|
311
|
322
|
200
|
192
|
206
|
Monthly
|
|
|
|
|
|
|
2007 – October
|
352
|
323
|
321
|
163
|
180
|
172
|
2007 – November
|
332
|
307
|
290
|
171
|
179
|
171
|
2007 – December
|
381
|
345
|
310
|
178
|
171
|
192
|
2008 – January
|
381
|
343
|
330
|
206
|
199
|
225
|
2008 – February
|
449
|
403
|
365
|
220
|
207
|
222
|
2008 – March
|
482
|
397
|
395
|
234
|
216
|
233
|
2008 – April
|
382
|
301
|
-
|
247
|
224
|
243
|
2008 – May
|
349
|
258
|
-
|
242
|
207
|
240
|
2008 – June
|
|
|
|
|
|
|
2008 – July
|
|
|
|
|
|
|
2008 – August
|
|
|
|
|
|
|
2008 – September
|
|
|
|
|
|
|
2008 – October
|
|
|
|
|
|
|
1 Delivered United States f.o.b Gulf.
2 Delivered United States Gulf.
3 Up River f.o.b
Sources: International Grain Council and USDA.
Table A22 - Wheat and maize futures prices (USD/tonne)
|
|
|
December
|
March
|
May
|
July
|
July 2008
|
July 2007
|
Sept.2008
|
Sept.2007
|
Dec. 2008
|
Dec. 2007
|
Mar. 2009
|
Mar. 2008
|
Wheat
|
|
|
|
|
|
|
|
|
Sep 18
|
255
|
319
|
262
|
321
|
267
|
275
|
271
|
218
|
Sep 25
|
271
|
326
|
278
|
328
|
283
|
291
|
287
|
234
|
Oct 2
|
237
|
339
|
242
|
342
|
247
|
311
|
251
|
245
|
Oct 9
|
222
|
311
|
230
|
315
|
235
|
294
|
240
|
243
|
Oct 16
|
204
|
304
|
211
|
311
|
216
|
295
|
221
|
245
|
Oct 23
|
192
|
309
|
199
|
317
|
204
|
301
|
209
|
250
|
Maize
|
|
|
|
|
|
|
|
|
Sep 18
|
208
|
139
|
214
|
145
|
218
|
149
|
221
|
153
|
Sep 25
|
220
|
146
|
227
|
152
|
231
|
156
|
235
|
159
|
Oct 2
|
179
|
137
|
186
|
144
|
191
|
148
|
195
|
151
|
Oct 9
|
173
|
135
|
179
|
142
|
184
|
145
|
188
|
149
|
Oct 16
|
151
|
142
|
158
|
149
|
162
|
153
|
167
|
156
|
Oct 23
|
154
|
142
|
160
|
149
|
164
|
153
|
168
|
156
|
Source: Chicago Board of Trade.
Table A23 - Selected international prices for rice and price indices
|
|
|
International Prices
(USD per tonne)
|
FAO Indices
(1998-2000=100)
|
Period
|
Thai 100% B1
|
Thai broken2
|
US Long grain3
|
Pakistan Basmati4
|
Total
|
Indica
|
Japonica
|
Aromatic
|
High quality
|
Low quality
|
Annual (January/December)
|
|
|
|
|
|
|
|
|
|
2004
|
244
|
207
|
372
|
468
|
102
|
101
|
110
|
96
|
96
|
2005
|
291
|
219
|
319
|
473
|
107
|
104
|
115
|
107
|
94
|
2006
|
311
|
217
|
394
|
516
|
117
|
114
|
114
|
127
|
102
|
2007
|
335
|
275
|
436
|
677
|
137
|
131
|
139
|
140
|
136
|
Monthly
|
|
|
|
|
|
|
|
|
|
2007 – October
|
338
|
297
|
452
|
712
|
142
|
136
|
148
|
142
|
146
|
2007 – November
|
358
|
318
|
481
|
740
|
149
|
144
|
157
|
146
|
154
|
2007 – December
|
376
|
342
|
506
|
850
|
157
|
149
|
166
|
153
|
169
|
2008 – January
|
385
|
364
|
544
|
888
|
164
|
156
|
175
|
156
|
175
|
2008 – February
|
463
|
431
|
572
|
1040
|
184
|
177
|
212
|
161
|
195
|
2008 – March
|
567
|
522
|
670
|
1100
|
217
|
217
|
265
|
171
|
211
|
2008 – April
|
853
|
726
|
820
|
1100
|
279
|
294
|
360
|
196
|
237
|
2008 – May
|
963
|
772
|
978
|
1100
|
322
|
346
|
399
|
245
|
252
|
2008 – June
|
870
|
645
|
985
|
1100
|
313
|
325
|
360
|
277
|
242
|
2008 – July
|
835
|
583
|
985
|
1100
|
298
|
311
|
327
|
276
|
234
|
2008 – August
|
787
|
525
|
853
|
1100
|
280
|
282
|
268
|
308
|
226
|
2008 – September
|
764
|
487
|
826
|
1100
|
266
|
254
|
245
|
316
|
219
|
2008 – October *
|
709
|
405
|
820
|
1100
|
253
|
241
|
217
|
314
|
212
|
* Three weeks only.
1 White rice, 100 percent second grade, f.o.b. Bangkok, indicative traded prices.
2 A1 super, f.o.b. Bangkok, indicative traded prices.
3 US No.2, 4 percent brokens f.o.b.
4 Basmati: ordinary, f.o.b. Karachi.
Note: The FAO Rice Price Index is based on 16 rice export quotations. 'Quality' is defined by the percentage of broken kernels, with high (low) quality referring to rice with less (equal to or more) than 20 percent brokens. The subindex for Aromatic Rice follows movements in prices of Basmati and Fragrant rice.
Sources: FAO for indices. Rice prices: Jackson Son & Co. (London) Ltd. and other public sources.
Table A24 - Selected international prices for oilcrop products and price indices
|
|
|
International Prices (USD per tonne)
|
FAO Indices (1998-2000=100)
|
|
Soybeans 1
|
Soybean oil 2
|
Palm oil 3
|
Soybean cake 4
|
Rapeseed meal 5
|
Oilseeds
|
Edible/soap fats/oils
|
Oilcakes/
meals
|
PERIOD
|
Annual (October/September)
|
2003/04
|
322
|
632
|
488
|
257
|
178
|
143
|
118
|
144
|
2004/05
|
275
|
545
|
419
|
212
|
130
|
125
|
110
|
132
|
2005/06
|
259
|
572
|
451
|
202
|
130
|
120
|
112
|
161
|
2006/07
|
335
|
772
|
684
|
264
|
184
|
156
|
152
|
196
|
2007/08
|
549
|
1325
|
1050
|
445
|
296
|
263
|
251
|
252
|
Monthly
|
|
|
|
|
|
|
|
|
2007 - October
|
445
|
1007
|
875
|
384
|
272
|
216
|
202
|
225
|
2007 - November
|
489
|
1133
|
955
|
397
|
260
|
234
|
221
|
229
|
2007 - December
|
516
|
1158
|
943
|
425
|
268
|
245
|
226
|
240
|
2008 - January
|
536
|
1270
|
1061
|
434
|
308
|
258
|
250
|
245
|
2008 - February
|
579
|
1426
|
1178
|
452
|
346
|
280
|
273
|
253
|
2008 - March
|
576
|
1467
|
1248
|
445
|
359
|
288
|
285
|
255
|
2008 - April
|
556
|
1430
|
1175
|
476
|
328
|
277
|
276
|
265
|
2008 - May
|
570
|
1430
|
1200
|
464
|
348
|
277
|
280
|
263
|
2008 - June
|
625
|
1531
|
1206
|
515
|
329
|
295
|
292
|
279
|
2008 - July
|
634
|
1506
|
1121
|
506
|
292
|
294
|
273
|
278
|
2008 - August
|
557
|
1323
|
884
|
435
|
247
|
255
|
230
|
252
|
2008 - September
|
508
|
1227
|
760
|
406
|
199
|
231
|
209
|
239
|
2008 - October
|
395
|
957
|
564
|
339
|
158
|
183
|
165
|
205
|
1 Soybeans: US, No.2 yellow, c.i.f. Rotterdam
2 Soybean oil: Dutch, fob ex-mill
3 Palm oil: Crude, c.i.f. North West Europe
4 Soybean cake: Pellets, 44/45 percent, Argentina, c.i.f. Rotterdam
5 Rapeseed meal: 34 percent, Hamburg, f.o.b. ex-mill
Note: The FAO indices are calculated using the Laspeyres formula; the weights used are the average export values of each commodity for the 1998-2000 period. The indices are based on the international prices of five selected seeds, ten selected oils and fats and seven selected cakes and meals.
Sources: FAO and Oil World
Table A25 - Selected international prices for milk products and dairy price index
|
|
|
International Prices (USD per tonne)
|
FAO Dairy Price Index
|
PERIOD
|
Butter1
|
Skim Milk Powder2
|
Whole Milk Powder3
|
Cheddar Cheese4
|
(1998-2000=100)
|
Annual (January/December)
|
|
|
|
|
|
2004
|
1 788
|
2 018
|
2 021
|
2 611
|
130
|
2005
|
2 128
|
2 223
|
2 261
|
2 838
|
145
|
2006
|
1 774
|
2 218
|
2 193
|
2 681
|
138
|
2007
|
2 959
|
4 291
|
4 185
|
4 055
|
247
|
Monthly
|
|
|
|
|
|
2007 – September
|
3 700
|
4 950
|
4 750
|
4 900
|
290
|
2007 – October
|
3 800
|
4 967
|
4 950
|
4 975
|
297
|
2007 – November
|
4 150
|
4 838
|
4 838
|
5 388
|
302
|
2007 – December
|
4 050
|
4 400
|
4 800
|
5 500
|
295
|
2008 – January
|
4 050
|
4 250
|
4 400
|
5 300
|
281
|
2008 – February
|
4 050
|
4 000
|
4 550
|
5 213
|
278
|
2008 – March
|
4 000
|
3 775
|
4 750
|
5 125
|
276
|
2008 – April
|
3 950
|
3 500
|
4 550
|
5 050
|
266
|
2008 – May
|
3 925
|
3 475
|
4 550
|
5 000
|
265
|
2008 – June
|
4 013
|
3 475
|
4 400
|
5 050
|
263
|
2008 – July
|
4 050
|
3 600
|
4 175
|
5 000
|
264
|
2008 – August
|
3 775
|
3 438
|
3 875
|
4 800
|
247
|
2008 – September
|
3 375
|
3 025
|
3 262
|
4 375
|
218
|
1 Butter, 82 percent butterfat, f.o.b. Oceania; indicative traded prices
2 Skim Milk Powder, 1.25 percent butterfat, f.o.b. Oceania, indicative traded prices
3 Whole Milk Powder, 26 percent butterfat, f.o.b. Oceania, indicative traded prices
4 Cheddar Cheese, 39 percent max. moisture, f.o.b. Oceania, indicative traded prices
Note: The FAO Dairy Price Index is derived from a trade-weighted average of a selection of representative internationally-traded dairy products
Sources: FAO for indices. Product prices: Mid-point of price ranges reported by Dairy Market News (USDA)
Table A26 - Selected international meat prices
|
|
|
Pigmeat Prices (USD per tonne)
|
Bovine Meat Prices (USD per tonne)
|
PERIOD
|
USA
|
BRAZIL
|
JAPAN
|
USA
|
ARGENTINA
|
JAPAN
|
AUSTRALIA
|
Annual (Jan/Dec)
|
|
|
|
|
|
|
|
2004
|
2 071
|
1 500
|
5 626
|
3 690
|
1 549
|
5 675
|
2 513
|
2005
|
2 161
|
1 867
|
5 093
|
3 919
|
1 673
|
5 764
|
2 617
|
2006
|
1 986
|
1 947
|
4 540
|
3 803
|
2 271
|
5 685
|
2 547
|
2007
|
2 117
|
2 017
|
4 500
|
4 023
|
2 385
|
5 925
|
2 603
|
Monthly
|
|
|
|
|
|
|
|
2007 – August
|
2 140
|
1 940
|
4 559
|
4 601
|
2 164
|
6 128
|
2 610
|
2007 – September
|
2 163
|
1 981
|
4 600
|
4 484
|
2 509
|
5 878
|
2 607
|
2007 – October
|
2 155
|
1 903
|
4 567
|
3 993
|
2 512
|
5 974
|
2 555
|
2007 – November
|
2 141
|
2 230
|
4 771
|
4 321
|
2 566
|
6 230
|
2 603
|
2007 – December
|
2 074
|
2 480
|
4 699
|
4 000
|
2 684
|
6 229
|
2 635
|
2007 – January
|
2 101
|
2 423
|
4 891
|
3 778
|
2 734
|
6 581
|
2 687
|
2007 – February
|
2 006
|
2 452
|
4 921
|
3 950
|
3 025
|
6 518
|
2 836
|
2007 – March
|
2 059
|
2 509
|
5 226
|
4 108
|
3 322
|
6 515
|
2 940
|
2007 – April
|
2 060
|
2 682
|
5 122
|
4 252
|
2 878
|
6 135
|
3 023
|
2007 – May
|
2 130
|
2 826
|
5 052
|
4 360
|
5 600
|
6 269
|
3 389
|
2008 – June
|
2 204
|
2 851
|
4 948
|
4 654
|
4 939
|
6 257
|
3 569
|
2008 – July
|
2 337
|
3 009
|
4 939
|
4 024
|
3 392
|
6 380
|
3 872
|
2008 – August
|
2 468
|
3 086
|
4 834
|
4 388
|
4 168
|
6 287
|
3 734
|
Pigmeat Prices
USA - Export unit value for frozen product - Foreign Trade Statistics of United States Census Bureau
BRAZIL - Export unit value for Pigmeat, fob - A.B.I.P.E.C.
JAPAN - Pork Import Price (cif): Frozen Boneless Cuts - A.L.I.C.
Bovine Meat Prices
USA - Frozen beef, export unit value - Foreign Trade Statistics of United States Census Bureau
ARGENTINA - Export unit value of frozen beef cuts - S.A.G.P.yA.
JAPAN - Beef Import Price (c.i.f.): Boneless Cuts, fresh or chilled - A.L.I.C.
AUSTRALIA - Up to Oct 02: cow forequarters frozen boneless, 85 percent chemical lean, cif United States port (East Coast) ex-dock
Table A27 – Selected international meat prices and FAO meat price indices
|
|
|
Poultry Meat Prices (USD per tonne)
|
FAO Indices (1998-2000=100)
|
|
USA
|
JAPAN
|
BRAZIL
|
Total
Meat
|
Bovine
Meat
|
Pigmeat
|
Poultry
Meat
|
Annual (Jan/Dec)
|
|
|
|
|
|
|
|
2004
|
757
|
2 020
|
1 033
|
118
|
122
|
107
|
109
|
2005
|
847
|
2 062
|
1 228
|
120
|
126
|
104
|
121
|
2006
|
734
|
1 852
|
1 180
|
114
|
126
|
94
|
109
|
2007
|
935
|
1 965
|
1 443
|
120
|
131
|
98
|
129
|
Monthly
|
|
|
|
|
|
|
|
2007 – August
|
1 021
|
2 040
|
1 464
|
124
|
137
|
99
|
136
|
2007 – September
|
1 042
|
2 104
|
1 501
|
124
|
136
|
100
|
139
|
2007 – October
|
925
|
2 245
|
1 519
|
122
|
131
|
99
|
137
|
2007 – November
|
941
|
2 341
|
1 598
|
126
|
137
|
101
|
142
|
2007 – December
|
990
|
2 278
|
1 461
|
123
|
135
|
98
|
139
|
2008 – January
|
952
|
2 432
|
1 726
|
126
|
137
|
101
|
148
|
2008 – February
|
934
|
2 400
|
1 761
|
128
|
142
|
98
|
148
|
2008 – March
|
953
|
2 568
|
1 773
|
132
|
146
|
103
|
152
|
2008 – April
|
971
|
2 532
|
1 842
|
132
|
144
|
102
|
155
|
2008 – May
|
1001
|
2 655
|
1 894
|
142
|
164
|
103
|
160
|
2008 – June
|
1037
|
2 890
|
1 974
|
144
|
166
|
104
|
169
|
2008 – July
|
1046
|
3 134
|
2 030
|
143
|
160
|
108
|
176
|
2008 – August
|
1077
|
3 217
|
2 131
|
146
|
163
|
110
|
180
|
Poultry Meat Prices
USA - Broiler cuts, export unit value - Foreign Trade Statistics of United States Census Bureau
JAPAN - Broiler Import Price, cif; frozen, other than leg quarters - A.L.I.C.
BRAZIL - Export unit value for chicken, fob - A.B.E.F.
FAO Meat Price Indices
The bovine and poultry meat indices are calculated from prices shown in Tables A26, A27 using trade weights for 1998-2000. The Pigmeat index is calculated from USA and Japan prices shown in Table A26 using trade weights for 1998-2000. The total meat price index is calculated from the meat group indices weighted by global export shares, including an index for ovine meat which is not shown.
Table A28 – Selected international commodity prices
|
|
|
Currency and
Unit
|
Effective
Date
|
Latest Quotation
|
One month ago
|
One year
ago
|
Average
2003-2007
|
Sugar (ISA daily price)
|
US cents per lb
|
16-10-08
|
11.36
|
13.23
|
10.14
|
9.80
|
Coffee (ICO daily price)
|
US cents per lb
|
16-10-08
|
106.85
|
123.24
|
114.54
|
81.37
|
Cocoa (ICCO daily price)
|
US cents per lb
|
16-10-08
|
2 190.60
|
2 604.14
|
1 900.11
|
76.06
|
Tea (FAO Tea Composite Price)
|
USD per kg
|
31-08-08
|
2.64
|
2.66
|
2.00
|
1.714
|
Cotton (NYBOT) 1
|
US cents per lb
|
17-10-08
|
48.45
|
57.70
|
64.80
|
59.69
|
Jute « BWD » (fob Mongla
at sight)
|
USD per tonne
|
30-09-08
|
510.00
|
510.00
|
330.00
|
325.39
|
Wool (64’s, London) 2
|
Pence per kg
|
29-06-07
|
514.00
|
514.00
|
398.00
|
452.44
|
|
|
|
|
|
|
|
1 Quotation is from New York Board of Trade (NYBOT) as of July 2007
2 Quotation discontinued as of July 2007
Table A29 - Ocean freight rates for grains (USD/tonne)
|
|
|
From United States Gulf ports to:
|
Period
|
European Union1
|
CIS
Black Sea1 ,2
|
Egypt1
|
Bangladesh1
|
Annual (July/June)
|
|
|
|
|
2003/04
|
28.3
|
41.9
|
37.0
|
48.5
|
2004/05
|
34.5
|
41.2
|
46.5
|
65.4
|
2005/06
|
20.8
|
31.8
|
31.9
|
45.5
|
2006/07
|
32.3
|
43.2
|
50.3
|
57.8
|
Monthly
|
|
|
|
|
2006 – Oct
|
28.0
|
40.0
|
46.0
|
55.0
|
2007 – Apr
|
37.0
|
47.0
|
55.0
|
60.0
|
2007 – May
|
44.0
|
55.0
|
68.0
|
68.0
|
2007 – June
|
41.0
|
57.0
|
65.0
|
74.0
|
2007 – July
|
48.0
|
62.0
|
68.0
|
79.0
|
2007 – Aug
|
54.0
|
65.0
|
74.0
|
82.0
|
2007 – Sept
|
61.0
|
73.0
|
82.0
|
89.0
|
2007 – Oct
|
75.0
|
n.a.
|
89.0
|
96.0
|
1 Size of vessels: European Union over 40 000 tonnes; CIS 20 000-40 000 tonnes; Egypt over 30 000 tonnes;
Bangladesh over 40 000 tonnes.
2 Excludes CIS and the United States flag vessels.
Note: Estimated mid-month rates based on current chartering practices for vessels ready to load three to four weeks ahead.
Source: International Grains Council.
Table A 30 - Fertilizer spot price ranges (bulk f.o.b., USD/tonne)
|
|
|
Oct 2008
|
Oct 2007
|
Sept 2008
|
Change from last year 1
|
|
|
|
|
USD per tonne
|
Percentage
|
|
Low
|
High
|
Low
|
High
|
Low
|
High
|
|
UREA
|
|
|
|
|
|
|
|
Baltic
|
548
|
566
|
326
|
334
|
712
|
737
|
69
|
Persian Gulf
|
520
|
601
|
328
|
334
|
738
|
780
|
70
|
|
|
|
|
|
|
|
|
AMMONIUM SULPHATE
|
|
|
|
|
|
|
|
Eastern Europe
|
201
|
211
|
172
|
177
|
264
|
278
|
18
|
|
|
|
|
|
|
|
|
DIAMMONIUM PHOSPHATE
|
|
|
|
|
|
|
|
North Africa
|
954
|
971
|
471
|
477
|
1 120
|
1 138
|
103
|
United States Gulf
|
1 019
|
1 025
|
444
|
448
|
1 079
|
1 104
|
129
|
|
|
|
|
|
|
|
|
TRIPLE SUPERPHOSPHATE
|
|
|
|
|
|
|
|
North Africa
|
940
|
953
|
399
|
417
|
1 015
|
1 049
|
132
|
|
|
|
|
|
|
|
|
MURIATE OF POTASH
|
|
|
|
|
|
|
|
Baltic
|
720
|
760
|
198
|
234
|
732
|
815
|
243
|
Vancouver
|
538
|
775
|
183
|
220
|
505
|
750
|
226
|
Source: Compiled from Fertilizer Week and Fertilizer Market Bulletin.
1 From mid-point of given ranges.
STATISTICAL NOTES
|
|
General
FAO estimates and forecasts are based on official and unofficial sources.
Unless otherwise stated, all charts and tables refer to FAO data as source.
Estimates of world imports and exports may not always match, mainly because shipments and deliveries do not necessarily occur in the same marketing year.
Tonnes refer to metric tonnes.
All totals are computed from unrounded data.
Regional totals may include estimates for countries not listed. The countries shown in the tables were chosen based on their importance of either production or trade in each region. The totals shown for Central America include countries in the Caribbean.
Estimates for China also include those for the Taiwan Province, Hong Kong SAR and Macao SAR, unless otherwise stated.
Up to 2006 or 2006/07, the European Union includes 25 Member States. From 2007 or 2007/08 onwards, the European Union includes 27 Member States. In the case of the oilseeds complex, the European Union includes 25 Member States up to 2005/06 and 27 Member States from 2006/07.
‘-‘ means nil or negligible.
Production
Cereals: Data refer to the calendar year in which the whole harvest or bulk of harvest takes place.
Sugar: Figures refer to centrifugal sugar derived from sugar cane or beet, expressed in raw equivalents. Data relate to the October/September season.
Utilization
Cereals: Data are on individual country’s marketing year basis.
Sugar: Figures refer to centrifugal sugar derived from sugar cane or beet, expressed in raw equivalents. Data relate to the October/September season.
Trade
Trade between European Union Member States is excluded, unless otherwise stated.
Wheat: Trade data include wheat flour in wheat grain equivalent. The time reference period is July/June, unless otherwise stated.
Coarse grains: The time reference period is July/June, unless otherwise stated.
Rice, dairy and meat products: The time reference period is January/December.
Oilseeds, oils and fats and meals and sugar: The time reference period is October/September, unless otherwise stated.
Stocks
Cereals: Data refer to carryovers at the close of national crop seasons ending in the year shown.
COUNTRY CLASSIFICATION
In the presentation of statistical material, countries are subdivided according to geographical location as well as into the following two main economic groupings: “developed countries” (including the developed market economies and the transition markets) and “developing countries” (including the developing market economies and the Asia centrally planned countries). The designation “Developed” and “Developing” economies is intended for statistical convenience and does not necessarily express a judgement about the stage reached by a particular country or area in the development process.
References are also made to special country groupings: Low-Income Food-Deficit Countries (LIFDCs), Least Developed Countries (LDCs) and Net Food-Importing Developing Countries (NFIDCs). The LIFDCs include 82 countries that are net importers of basic foodstuffs with per caput income below the level used by the World Bank to determine eligibility for International Development Aid (IDA) assistance (i.e. USD 1 575 in 2004). The LDCs and NFIDCs groups include a list of countries agreed by the World Trade Organization (WTO) to qualify as beneficiaries under the Marrakech Decision on the Possible Negative Effects of the Reform Programme on Least Developed and Net Food Importing Developing Countries. The LDCs group currently includes 50 countries with low income as well as weak human resources and low level of economic diversification. The list is reviewed every three years by the Economic and Social Council of the United Nations. The NFIDCs group includes 24 developing country WTO Members that have notified their request to be listed as NFIDCs and have submitted relevant statistical data concerning their status as net importers of basic foodstuffs during a representative period. This list is reviewed annually by the WTO Committee on Agriculture.
DISCLAIMER
The designations employed and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.