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Authors: yangld | Edit: zhuweiwei
Table A.2 September 2025 – November 2025 agroclimatic indicators and biomass by major production country
Country code | Country name | RAIN Current (mm) | RAIN 15YA Departure (%) | TEMP Current (°C) | TEMP 15YA Departure(°C) | RADPAR Current (MJ/m2) | RADPAR 15YA Departure (%) | BIOMSS Current (gDM/m2) | BIOMSS 15YA Departure (%) |
AFG | Afghanistan | 6 | -88 | 12.8 | 0.1 | 838 | 4 | 76 | -71 |
AGO | Angola | 174 | -60 | 23.5 | 0.3 | 1039 | 4 | 622 | -34 |
ARG | Argentina | 79 | -59 | 15.6 | 1.5 | 1028 | 6 | 443 | -26 |
AUS | Australia | 60 | -34 | 23.5 | 0.4 | 1095 | 4 | 497 | -5 |
AUT | Austria | 362 | 7 | 6.3 | -0.4 | 413 | -1 | 565 | -1 |
AZE | Azerbaijan | 141 | -27 | 15.4 | 2.6 | 563 | 3 | 459 | -8 |
BEN | Benin | 22 | -88 | 26.9 | 0.4 | 889 | -3 | 375 | -41 |
BFA | Burkina Faso | 8 | -93 | 27.9 | 0.2 | 938 | -1 | 339 | -37 |
BGD | Bangladesh | 534 | -31 | 24.9 | 0.2 | 799 | 2 | 1019 | -7 |
BGR | Bulgaria | 267 | 26 | 12.5 | 0.5 | 512 | -2 | 583 | 8 |
BLR | Belarus | 176 | -13 | 8.4 | 0.7 | 271 | 0 | 545 | 3 |
BOL | Bolivia | 76 | -79 | 23.3 | 2 | 1047 | 6 | 467 | -44 |
BRA | Brazil | 126 | -70 | 27.7 | 1.7 | 996 | 8 | 563 | -41 |
CAN | Canada | 191 | -10 | -0.8 | 2.4 | 225 | 7 | 341 | 8 |
CHL | Chile | 346 | -23 | 8.3 | 0.7 | 940 | 9 | 378 | -8 |
CHN | China | 211 | 9 | 6.9 | 0.1 | 629 | -1 | 460 | 5 |
CMR | Cameroon | 754 | -6 | 22.4 | -0.5 | 770 | -9 | 1149 | -7 |
COD | Democratic Republic of the Congo | 530 | -40 | 23.9 | 0.6 | 952 | 4 | 1195 | -12 |
COL | Colombia | 914 | -8 | 23 | 0.1 | 779 | -3 | 1188 | -3 |
CUB | Cuba | 578 | 34 | 25.6 | -0.5 | 847 | -2 | 1237 | 10 |
DEU | Germany | 243 | 5 | 9.5 | 0 | 313 | -7 | 632 | 9 |
DNK | Denmark | 313 | 1 | 11 | -0.1 | 279 | 6 | 730 | 2 |
DZA | Algeria | 10 | -60 | 22.2 | -0.1 | 826 | 1 | 168 | -44 |
EGY | Egypt | 1 | -80 | 22.9 | 0.1 | 894 | 3 | 109 | -37 |
ESP | Spain | 144 | -30 | 15.6 | 1.1 | 614 | 4 | 498 | -10 |
ETH | Ethiopia | 116 | -56 | 22.3 | 0.2 | 1052 | 10 | 520 | -23 |
FIN | Finland | 260 | -2 | 5.3 | 1.3 | 137 | -6 | 545 | 12 |
FRA | France | 300 | -2 | 11.7 | 0 | 433 | 0 | 713 | 4 |
GBR | UK | 410 | 6 | 9.7 | -0.5 | 265 | 5 | 727 | 8 |
GHA | Ghana | 59 | -82 | 27.3 | 1 | 860 | -4 | 479 | -46 |
GRC | Greece | 293 | 14 | 16.7 | -0.4 | 601 | -3 | 693 | 6 |
HUN | Hungary | 139 | -22 | 12.1 | 0.5 | 446 | 2 | 462 | -10 |
IDN | Indonesia | 979 | 8 | 24.7 | -0.3 | 916 | 0 | 1344 | 5 |
IND | India | 357 | -20 | 22.8 | -0.6 | 801 | -2 | 764 | -5 |
IRN | Iran | 5 | -90 | 18.9 | 0.5 | 890 | 8 | 107 | -63 |
IRQ | Iraq | 11 | -75 | 25.1 | 0.5 | 838 | 8 | 275 | -22 |
ITA | Italy | 281 | -20 | 14 | -0.1 | 550 | 2 | 703 | -3 |
JPN | Japan | 557 | 2 | 14.4 | -0.6 | 520 | -1 | 868 | 1 |
KAZ | Kazakhstan | 80 | -27 | 8.3 | 1.2 | 469 | 0 | 300 | -12 |
KEN | Kenya | 97 | -65 | 25.2 | 1.2 | 1043 | 8 | 533 | -28 |
KGZ | Kyrgyzstan | 91 | -46 | 0.8 | -0.4 | 685 | 5 | 261 | -18 |
KHM | Cambodia | 610 | -36 | 24.8 | -0.2 | 785 | -3 | 1237 | -9 |
LAO | Lao PDR | 322 | -48 | 21.6 | 0.2 | 760 | 0 | 803 | -18 |
LBN | Lebanon | 61 | -37 | 18.3 | -0.6 | 820 | 6 | 390 | -14 |
LKA | Sri Lanka | 1457 | 23 | 25.5 | -0.5 | 765 | -12 | 1353 | 0 |
MAR | Morocco | 27 | -65 | 19.4 | 1 | 800 | 3 | 274 | -26 |
MDG | Madagascar | 147 | -22 | 23.6 | 0.2 | 1116 | 7 | 664 | -6 |
MEX | Mexico | 256 | -38 | 21.2 | 0.5 | 841 | 2 | 661 | -18 |
MLI | Mali | 11 | -81 | 27.7 | -0.3 | 926 | 0 | 155 | -63 |
MMR | Myanmar | 548 | -27 | 22.2 | 0.6 | 788 | 2 | 947 | -13 |
MNG | Mongolia | 67 | 0 | -0.1 | -0.5 | 552 | 1 | 232 | 8 |
MOZ | Mozambique | 38 | -68 | 25.7 | 0.6 | 1072 | 7 | 484 | -22 |
MUS | Mauritius | 130 | 12 | 23.6 | 0 | 1091 | 2 | 745 | 7 |
MWI | Malawi | 29 | -63 | 23.5 | 0.4 | 1201 | 9 | 406 | -20 |
NER | Niger | 2 | -85 | 25.3 | -1.1 | 944 | 0 | 291 | -3 |
NGA | Nigeria | 205 | -38 | 25.8 | 0.1 | 860 | -4 | 624 | -20 |
NPL | Nepal | 313 | -7 | 14.4 | 0.9 | 800 | -3 | 595 | 12 |
PAK | Pakistan | 73 | -6 | 17.8 | -0.1 | 835 | -1 | 336 | -1 |
PER | Peru | 571 | 22 | 18.3 | -0.5 | 847 | -10 | 925 | 5 |
PHL | Philippines | 1320 | 15 | 24.5 | -1.4 | 840 | -4 | 1456 | 2 |
POL | Poland | 201 | 6 | 9.2 | -0.2 | 323 | 1 | 610 | 14 |
PRY | Paraguay | 48 | -86 | 27 | 1.9 | 1046 | 15 | 498 | -46 |
ROU | Romania | 199 | 15 | 11.8 | 0.8 | 462 | -2 | 522 | 15 |
RUS | Russia | 171 | -16 | -3.8 | -0.1 | 216 | 7 | 304 | 0 |
RWA | Rwanda | 11 | -96 | 20.6 | 1.9 | 1104 | 28 | 344 | -52 |
SAU | Saudi Arabia | 3 | -74 | 25.3 | -0.6 | 994 | 7 | 173 | -35 |
SDN | Sudan | 76 | -18 | 26.9 | 0.3 | 975 | 3 | 412 | 0 |
SEN | Senegal | 38 | -82 | 30 | 1.4 | 942 | 3 | 433 | -30 |
SRB | Serbia | 255 | 18 | 11.6 | 0.6 | 482 | -4 | 642 | 22 |
SSD | South Sudan | 306 | -40 | 25.7 | 1.1 | 988 | 9 | 983 | -13 |
SWE | Sweden | 267 | 7 | 5.2 | 0.9 | 183 | -3 | 522 | 6 |
SYR | Syria | 10 | -82 | 21.9 | 0.8 | 810 | 7 | 272 | -24 |
TCD | Chad | 89 | -29 | 25.9 | 0 | 944 | 0 | 473 | 5 |
TGO | Togo | 31 | -88 | 26.7 | 0.6 | 881 | -4 | 405 | -48 |
THA | Thailand | 287 | -61 | 24.9 | 0.8 | 796 | -2 | 822 | -29 |
TKM | Turkmenistan | 3 | -91 | 17.5 | 1.5 | 723 | 5 | 158 | -36 |
TUN | Tunisia | 31 | -46 | 20.7 | -0.4 | 743 | 1 | 293 | -22 |
TUR | Turkey | 161 | 1 | 13.4 | 0.2 | 663 | 2 | 510 | 6 |
TZA | Tanzania | 18 | -89 | 23.7 | 0.9 | 1150 | 14 | 393 | -36 |
UGA | Uganda | 205 | -63 | 22.7 | 1.5 | 1013 | 4 | 676 | -35 |
UKR | Ukraine | 146 | -7 | 10.7 | 0.8 | 380 | -2 | 486 | 5 |
URY | Uruguay | 197 | -51 | 17.4 | 0.6 | 973 | 11 | 722 | -23 |
USA | USA | 161 | -34 | 13.9 | 5 | 618 | 24 | 525 | -6 |
UZB | Uzbekistan | 8 | -84 | 14.8 | 1.8 | 672 | 4 | 156 | -36 |
VEN | Venezuela | 712 | -22 | 23.5 | -0.1 | 905 | 2 | 1201 | -6 |
VNM | Viet Nam | 885 | -2 | 22.3 | -0.3 | 693 | -6 | 1234 | 3 |
ZAF | South Africa | 30 | -66 | 19.8 | 1.3 | 1160 | 7 | 397 | -17 |
ZMB | Zambia | 38 | -78 | 25.4 | 0.9 | 1139 | 5 | 481 | -26 |
ZWE | Zimbabwe | 40 | -64 | 24.3 | 0.6 | 1122 | 4 | 476 | -18 |
Note: Departures are expressed in relative terms (percentage) forall variables, except for temperature, for which absolute departure in degrees Celsius is given. Zero means no change from the average value; relative departures are calculated as (C-R)/R*100, with C=current value and R=reference value, which is the fifteen-year average (15YA) for the same period between Sep- Nov.