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Bulletin
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1.Key Message
Global Food Production Situation
Global Production and Outlook of Major Grain and Oil Crops
Countries Outlook
Online Country Analysis
Appendix A: Indicators
Appendix B. Methodology, Data and Online Resources
Afterword
Acknowledgments
AI
A.3 Agronomic IndicatorsAppendix A: Indicators
Authors: yangld | Edit: qinxl
Table A.3 July - September 2026 agronomic indicators by major production country
| Country Code | Country Name | CALF | Maximum VCI | CroPI | ADAC | PDSI | CWSI | |
| Current (%) | 5YA Departure (%) | Current | Current | Current (%) | Current | Current | ||
| AFG | Afghanistan | 32 | 8 | 0.84 | 1.66 | 0.0 | 1.62 | 1.72 |
| AGO | Angola | 22 | 3 | 0.98 | 1.87 | -71.9 | 2.81 | 1.73 |
| ARG | Argentina | 80 | 23 | 0.86 | 1.46 | -97.0 | -0.13 | 1.98 |
| AUS | Australia | 94 | 0 | 0.91 | 1.12 | -40.6 | -0.95 | 1.81 |
| AUT | Austria | 92 | -5 | 0.75 | 0.89 | -1.9 | -2.09 | 2.63 |
| AZE | Azerbaijan | 75 | 5 | 0.91 | 1.33 | -31.6 | 2.48 | 1.50 |
| BEN | Benin | 0 | 7 | 0.97 | 1.07 | 0.0 | -3.75 | 5.33 |
| BFA | Burkina Faso | 0 | 3 | 0.88 | 1.0 | 0.0 | -4.33 | 2.82 |
| BGD | Bangladesh | 98 | 11 | 1.02 | 1.16 | 0.0 | -1.64 | 1.55 |
| BGR | Bulgaria | 87 | 2 | 0.75 | 1.22 | -11.5 | 2.19 | 1.76 |
| BLR | Belarus | 100 | 0 | 0.91 | 1.07 | 0.0 | -0.07 | 2.29 |
| BOL | Bolivia | 0 | 13 | 0.93 | 1.61 | -91.0 | 2.48 | 2.95 |
| BRA | Brazil | 98 | 5 | 0.89 | 1.27 | -81.4 | 0.23 | 2.24 |
| CAN | Canada | 100 | 3 | 0.95 | 1.1 | -19.6 | 1.47 | 1.69 |
| CHL | Chile | 0 | 0 | 0.83 | 0.99 | -0.2 | 0.78 | 1.97 |
| CHN | China | 99 | 1 | 0.95 | 1.06 | -4.6 | -0.68 | 1.63 |
| CMR | Cameroon | 0 | 2 | 0.94 | 1.05 | -0.1 | -6.59 | 2.77 |
| COD | Democratic Republic of the Congo | 92 | 8 | 0.93 | 1.14 | -89.0 | -0.33 | 2.49 |
| COL | Colombia | 0 | 2 | 0.85 | 1.07 | -16.8 | 0.70 | 1.84 |
| CUB | Cuba | 0 | 0 | 0.95 | 1.04 | -36.4 | -1.88 | 1.28 |
| DEU | Germany | 99 | 0 | 0.86 | 1.09 | -16.9 | -0.82 | 2.49 |
| DNK | Denmark | 100 | 0 | 0.92 | 1.05 | -8.7 | -0.77 | 2.21 |
| DZA | Algeria | 7 | -2 | 0.97 | 1.39 | -1.4 | 1.85 | 1.51 |
| EGY | Egypt | 90 | 0 | 0.86 | 1.18 | -35.6 | 0.40 | 1.78 |
| ESP | Spain | 20 | -20 | 0.64 | 1.16 | -95.9 | 0.57 | 1.88 |
| ETH | Ethiopia | 98 | 3 | 0.95 | 1.11 | -2.4 | -4.75 | 1.43 |
| FIN | Finland | 0 | 0 | 0.96 | 1.06 | -73.3 | 1.02 | 3.01 |
| FRA | France | 76 | -16 | 0.61 | 0.71 | -64.6 | 0.13 | 1.83 |
| GBR | UK | 96 | 0 | 0.77 | 0.97 | -14.6 | 0.38 | 1.98 |
| GHA | Ghana | 0 | 8 | 0.98 | 1.11 | 0.0 | -2.30 | 4.03 |
| GRC | Greece | 75 | 0 | 0.83 | 1.32 | -47.3 | 2.36 | 1.59 |
| HUN | Hungary | 77 | -16 | 0.62 | 0.79 | -1.9 | -1.50 | - |
| IDN | Indonesia | 0 | 5 | 0.88 | 0.97 | -79.8 | -1.59 | 2.38 |
| IND | India | 95 | 2 | 0.93 | 1.01 | -14.2 | -1.86 | 1.83 |
| IRN | Iran | 22 | 5 | 0.88 | 1.64 | -9.0 | 2.23 | 1.53 |
| IRQ | Iraq | 7 | 40 | 1.11 | 1.92 | -21.4 | 3.05 | 1.33 |
| ITA | Italy | 77 | -6 | 0.8 | 1.12 | -93.3 | 0.29 | 1.83 |
| JPN | Japan | 100 | 0 | 0.94 | 1.05 | -3.0 | 0.12 | 2.21 |
| KAZ | Kazakhstan | 90 | 5 | 0.83 | 1.11 | -9.6 | 0.47 | 2.48 |
| KEN | Kenya | 95 | -2 | 0.85 | 1.13 | -24.4 | -0.15 | 1.43 |
| KHM | Cambodia | 0 | 11 | 0.94 | 1.1 | -31.6 | -1.54 | 2.57 |
| LAO | Lao PDR | 0 | 7 | 0.95 | 1.07 | -0.1 | -1.22 | 2.92 |
| LBN | Lebanon | 39 | 17 | 0.96 | 1.83 | -33.6 | 3.56 | 1.41 |
| LKA | Sri Lanka | 0 | 2 | 0.87 | 1.0 | -58.7 | -0.95 | 1.82 |
| MAR | Morocco | 8 | -2 | 1.15 | 1.78 | -81.4 | 0.06 | 1.47 |
| MDG | Madagascar | 32 | -9 | 0.78 | 1.12 | -54.0 | -1.17 | 4.69 |
| MEX | Mexico | 89 | 4 | 0.86 | 1.14 | -7.8 | -2.13 | 1.65 |
| MLI | Mali | 72 | -5 | 0.81 | 0.87 | 0.0 | -4.12 | 2.47 |
| MMR | Myanmar | 0 | 4 | 0.95 | 1.07 | 0.0 | 0.54 | 1.63 |
| MNG | Mongolia | 100 | 6 | 0.85 | 1.59 | 0.0 | -1.78 | 1.45 |
| MOZ | Mozambique | 44 | 1 | 0.85 | 1.19 | -21.1 | 1.18 | 2.02 |
| MWI | Malawi | 29 | -7 | 0.86 | 1.25 | -30.0 | 0.85 | 2.16 |
| NER | Niger | 36 | 0 | 0.88 | 1.42 | 0.0 | -5.75 | 4.37 |
| NGA | Nigeria | 98 | 5 | 0.96 | 1.08 | 0.0 | -5.51 | 3.89 |
| NPL | Nepal | 100 | 3 | 0.96 | 1.12 | 0.0 | -0.87 | 1.61 |
| PAK | Pakistan | 84 | 0 | 0.84 | 1.11 | 0.0 | -2.54 | 1.93 |
| PER | Peru | 0 | -5 | 0.76 | 1.31 | -25.3 | -0.80 | 1.93 |
| PHL | Philippines | 0 | 7 | 0.93 | 1.02 | -18.1 | -1.27 | 2.66 |
| POL | Poland | 100 | 1 | 0.91 | 1.19 | 0.0 | -0.81 | 3.78 |
| PRY | Paraguay | 98 | 4 | 0.81 | 1.14 | -98.8 | 0.18 | 3.28 |
| ROU | Romania | 82 | 1 | 0.73 | 1.34 | -23.4 | 0.65 | 1.62 |
| RUS | Russia | 90 | 2 | 0.87 | 1.12 | -21.2 | 1.86 | 2.04 |
| SAU | Saudi Arabia | 25 | -18 | 0.66 | 1.79 | -69.6 | 0.84 | 1.72 |
| SDN | Sudan | 37 | -25 | 0.61 | 0.8 | -8.8 | -5.08 | 1.59 |
| SEN | Senegal | 0 | 16 | 0.9 | 0.98 | 0.0 | -4.36 | 2.01 |
| SRB | Serbia | 94 | 0 | 0.79 | 1.14 | -73.2 | -0.45 | - |
| SSD | South Sudan | 0 | 0 | 0.82 | 1.0 | -11.5 | -5.22 | 1.37 |
| SWE | Sweden | 100 | 0 | 0.93 | 1.05 | -4.0 | -0.60 | 2.32 |
| SYR | Syria | 9 | 4 | 1.38 | 1.6 | -95.1 | 3.37 | 1.29 |
| TCD | Chad | 64 | -1 | 0.91 | 1.14 | 0.0 | -6.94 | 3.16 |
| TGO | Togo | 0 | 11 | 0.98 | 1.08 | 0.0 | -2.68 | 3.88 |
| THA | Thailand | 0 | 10 | 0.98 | 1.08 | -7.0 | -0.97 | 2.58 |
| TKM | Turkmenistan | 54 | 17 | 0.9 | 1.89 | -1.0 | 2.23 | 1.80 |
| TUN | Tunisia | 4 | -1 | 0.81 | 1.5 | -3.2 | 1.37 | 1.55 |
| TUR | Turkey | 54 | 10 | 0.93 | 1.56 | -57.7 | 4.07 | 1.43 |
| TZA | Tanzania | 60 | -14 | 0.88 | 1.28 | -18.3 | 0.05 | 1.76 |
| UGA | Uganda | 96 | 4 | 0.86 | 1.03 | -51.1 | -2.84 | 1.60 |
| UKR | Ukraine | 86 | -2 | 0.78 | 1.08 | -8.2 | 0.98 | 1.98 |
| URY | Uruguay | 99 | 0 | 0.82 | 1.09 | -17.0 | -1.22 | 2.20 |
| USA | USA | 90 | -1 | 0.88 | 1.06 | -27.1 | 0.33 | 2.59 |
| UZB | Uzbekistan | 83 | 6 | 0.92 | 1.51 | 0.0 | 2.92 | 1.52 |
| VEN | Venezuela | 0 | 2 | 0.88 | 0.95 | -54.8 | -5.02 | 2.15 |
| VNM | Viet Nam | 0 | 10 | 0.93 | 1.02 | -47.1 | -1.27 | 2.18 |
| ZAF | South Africa | 46 | 27 | 1.14 | 1.58 | -91.5 | 2.74 | 1.63 |
| ZMB | Zambia | 21 | 1 | 0.91 | 1.77 | -77.5 | 0.64 | 2.37 |
| ZWE | Zimbabwe | 13 | 24 | 0.98 | 1.66 | -98.1 | 1.20 | 1.62 |
Note: The formula for calculating the relative anomaly is (C − R)/R × 100, where C represents the current value, and R represents the reference value, defined as the average for the same period (July-September) over the past five years (5YA).