1887

OECD-FAO Agricultural Outlook 2017-2026

image of OECD-FAO Agricultural Outlook 2017-2026

Over the ten-year Outlook period, agricultural markets are projected to remain weak, with growth in China weakening and biofuel policies having less impact on markets than in the past. Future growth in crop production will be attained mostly by increasing yields, and growth in meat and dairy production from both higher animal stocks and improved yields. Agricultural trade is expected to grow more slowly, but remain less sensitive to weak economic conditions than other sectors. These demand, supply and trade pressures are all evident in Southeast Asia, where this report identifies scope to improve agricultural productivity sustainably. Real prices are expected to remain flat or decline for most commodities.

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From Chapter: Statistical Annex
.

Table A.19.2 - Poultry meat projections: Consumption, food

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OECD-FAO Agricultural Outlook 2017-2026 - © OECD 2017

‌A.19.2Poultry meat projections: Consumption, food
A.19.2Poultry meat projections: Consumption, food
  Calendar year
‌‌
CONSUMPTION (kt rtc)
Growth (%) 4
FOOD (kg rwe/cap) 5
Growth (%) 4
Average
2014-16est
‌2026‌
‌2007-16‌
‌2017-26‌
Average
2014-16est
‌2026‌
‌2007-16‌
‌2017-26‌
WORLD
113 228
 
131 607
 
2.83
 
1.24
 
13.6
 
14.1
 
1.62
 
0.25
 
DEVELOPED COUNTRIES
44 873
 
49 343
 
2.07
 
0.60
 
28.2
 
30.1
 
1.65
 
0.34
 
NORTH AMERICA
18 559
 
20 635
 
1.07
 
0.77
 
45.6
 
47.0
 
0.25
 
0.06
 
Canada
1 383
 
1 588
 
1.20
 
1.05
 
33.9
 
35.5
 
0.13
 
0.25
 
United States
17 176
 
19 047
 
1.06
 
0.74
 
47.0
 
48.3
 
0.27
 
0.05
 
EUROPE
19 841
 
21 341
 
2.73
 
0.33
 
23.6
 
25.4
 
2.62
 
0.36
 
European Union
13 256
 
14 326
 
2.14
 
0.25
 
23.1
 
24.8
 
1.97
 
0.18
 
Russia
4 573
 
4 831
 
4.47
 
0.38
 
28.1
 
30.2
 
4.44
 
0.59
 
Ukraine
1 134
 
1 279
 
2.29
 
0.93
 
22.3
 
26.7
 
2.68
 
1.53
 
OCEANIA DEVELOPED
1 325
 
1 659
 
4.47
 
1.50
 
40.9
 
45.2
 
2.92
 
0.38
 
Australia
1 141
 
1 441
 
4.63
 
1.57
 
41.9
 
46.3
 
2.93
 
0.39
 
New Zealand
184
 
218
 
3.57
 
1.07
 
35.8
 
38.7
 
2.74
 
0.24
 
OTHER DEVELOPED 1
5 148
 
5 707
 
2.83
 
0.78
 
16.6
 
17.7
 
2.17
 
0.45
 
Japan
1 994
 
2 053
 
1.93
 
-0.03
 
13.9
 
14.8
 
2.01
 
0.31
 
Kazakhstan
291
 
332
 
5.42
 
1.70
 
14.5
 
14.9
 
3.91
 
0.80
 
South Africa
1 966
 
2 268
 
3.79
 
1.11
 
31.7
 
34.0
 
2.63
 
0.46
 
DEVELOPING COUNTRIES
68 355
 
82 265
 
3.36
 
1.65
 
10.1
 
10.7
 
1.95
 
0.49
 
AFRICA
4 800
 
5 889
 
4.14
 
2.25
 
3.7
 
3.5
 
1.44
 
-0.19
 
NORTH AFRICA
2 356
 
2 850
 
3.74
 
1.91
 
11.3
 
11.7
 
1.92
 
0.49
 
Algeria
289
 
337
 
1.06
 
1.53
 
6.4
 
6.4
 
-0.79
 
0.17
 
Egypt
981
 
1 156
 
2.88
 
1.70
 
9.4
 
9.2
 
0.75
 
0.03
 
SUB-SAHARAN AFRICA
2 444
 
3 039
 
4.54
 
2.58
 
2.3
 
2.1
 
1.66
 
-0.05
 
Ethiopia
62
 
81
 
3.49
 
2.64
 
0.5
 
0.6
 
0.88
 
0.36
 
Ghana
187
 
277
 
6.74
 
3.59
 
6.0
 
7.1
 
4.17
 
1.54
 
Mozambique
57
 
93
 
5.48
 
5.04
 
1.8
 
2.2
 
2.57
 
2.32
 
Nigeria
187
 
248
 
-4.41
 
2.54
 
0.9
 
0.9
 
-6.93
 
0.06
 
Tanzania
91
 
134
 
1.93
 
3.87
 
1.5
 
1.6
 
-1.25
 
0.87
 
Zambia
50
 
71
 
3.86
 
3.66
 
2.7
 
2.8
 
0.76
 
0.62
 
LATIN AMERICA and CARIBBEAN
22 472
 
25 586
 
3.05
 
1.12
 
31.3
 
32.2
 
1.88
 
0.24
 
Argentina
1 786
 
2 065
 
4.08
 
1.05
 
36.2
 
38.0
 
3.00
 
0.17
 
Brazil
9 205
 
10 147
 
2.36
 
0.65
 
39.0
 
39.8
 
1.41
 
-0.02
 
Chile
677
 
795
 
3.07
 
1.05
 
33.2
 
35.4
 
1.97
 
0.19
 
Colombia
1 464
 
1 768
 
5.24
 
1.68
 
26.7
 
29.8
 
4.17
 
0.99
 
Mexico
3 781
 
4 490
 
2.84
 
1.49
 
26.2
 
27.6
 
1.39
 
0.42
 
Paraguay
45
 
54
 
3.82
 
1.65
 
6.0
 
6.3
 
2.44
 
0.49
 
Peru
1 342
 
1 619
 
6.32
 
1.61
 
37.6
 
40.1
 
4.95
 
0.50
 
Uruguay
57
 
69
 
-1.52
 
0.80
 
14.6
 
17.0
 
-1.85
 
0.47
 
ASIA and PACIFIC
41 083
 
50 790
 
3.44
 
1.85
 
8.6
 
9.7
 
2.32
 
1.03
 
Bangladesh
224
 
295
 
2.20
 
2.91
 
1.2
 
1.4
 
1.01
 
1.87
 
China 2
18 420
 
22 210
 
2.43
 
1.54
 
11.8
 
13.8
 
1.90
 
1.33
 
India
2 687
 
3 860
 
4.72
 
2.88
 
1.8
 
2.3
 
3.37
 
1.81
 
Indonesia
1 948
 
2 380
 
4.91
 
1.77
 
6.7
 
7.3
 
3.57
 
0.82
 
Iran
2 047
 
2 401
 
3.05
 
1.74
 
22.8
 
24.3
 
1.78
 
0.93
 
Korea
950
 
1 060
 
5.27
 
1.07
 
16.6
 
17.9
 
4.73
 
0.77
 
Malaysia
1 431
 
1 709
 
3.85
 
1.65
 
41.5
 
43.3
 
2.25
 
0.44
 
Pakistan
947
 
1 240
 
6.60
 
2.60
 
4.4
 
4.7
 
4.38
 
0.80
 
Philippines
1 310
 
1 733
 
5.85
 
2.24
 
11.4
 
13.0
 
4.21
 
0.82
 
Saudi Arabia
1 534
 
1 962
 
5.18
 
1.86
 
42.8
 
46.3
 
2.73
 
0.40
 
Thailand
787
 
795
 
2.07
 
0.25
 
10.2
 
10.2
 
1.75
 
0.20
 
Turkey
1 556
 
1 791
 
5.18
 
1.05
 
17.4
 
18.5
 
3.54
 
0.39
 
Viet Nam
1 393
 
2 011
 
8.69
 
3.43
 
13.1
 
17.2
 
7.52
 
2.58
 
LEAST DEVELOPED COUNTRIES (LDC)
3 534
 
4 454
 
5.07
 
2.67
 
3.3
 
3.2
 
2.61
 
0.43
 
OECD 3
42 865
 
47 695
 
1.93
 
0.70
 
28.7
 
30.5
 
1.32
 
0.29
 
BRICS
36 850
 
43 315
 
2.87
 
1.28
 
10.5
 
11.5
 
1.99
 
0.67
 
Note: Calendar year: Year ending 30 September for New Zealand.
Average 2014-16est: Data for 2016 are estimated.
Disclaimer: http://oe.cd/disclaimer
1.
Includes Israel and also transition economies: Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, Armenia, Azerbaijan and Georgia.
2.
Refers to mainland only. The economies of Chinese Taipei, Hong Kong (China) and Macau (China) are included in the Other Asia Pacific aggregate.
3.
Excludes Iceland but includes all EU28 member countries.
4.
Least-squares growth rate (see glossary).
5.
Per capita consumption expressed in retail weight. Carcass weight to retail weight conversion factors of 0.7 for beef and veal, 0.78 for pigmeat and 0.88 for both sheep meat and poultry meat.
Source: OECD/FAO (2017), “OECD-FAO Agricultural Outlook”,OECD Agriculture statistics(database). doi:dx.doi.org/10.1787/agr-outl-data-en

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