Bulletin

CropWatch bulletin
A.3 Agronomic IndicatorsAppendix A: Indicators

Authors: yangld | Edit: zhuweiwei

Table A.3 May - July 2026 agronomic indicators by major production country

Country CodeCountry NameCALFMaximum
VCI
CroPIADACPDSICWSI
Current
(%)
5YA
Departure
(%)
CurrentCurrentCurrent
(%)
CurrentCurrent
AFGAfghanistan33140.881.71-0.54.091.72
AGOAngola9390.961.45-0.33.951.73
ARGArgentina77190.821.43-20.5-1.621.98
AUSAustralia9160.911.22-71.2-3.651.81
AUTAustria10000.861.01-97.41.842.63
AZEAzerbaijan96100.951.35-20.34.501.50
BENBenin69-100.780.80.0-5.305.33
BFABurkina Faso53-180.790.85-98.5-4.462.82
BGDBangladesh7220.750.84-95.1-3.851.55
BGRBulgaria9910.941.08-32.64.131.76
BLRBelarus10020.951.1-2.82.752.29
BOLBolivia9370.891.320.04.122.95
BRABrazil9610.871.060.01.642.24
CANCanada10040.951.07-54.71.601.69
CHLChile9430.881.07-19.8-4.231.97
CHNChina9750.921.03-65.5-1.331.63
CMRCameroon76-60.820.84-97.7-4.032.77
CODDemocratic Republic of the Congo9140.891.08-42.22.792.49
COLColombia9780.861.05-80.40.471.84
CUBCuba10050.951.04-74.2-2.661.28
DEUGermany10020.941.09-44.92.632.49
DNKDenmark10000.961.070.03.522.21
DZAAlgeria48631.051.82-1.45.291.51
EGYEgypt7810.831.19-0.12.801.78
ESPSpain6030.731.17-10.85.911.88
ETHEthiopia72-20.760.84-82.8-4.041.43
FINFinland10010.971.030.03.243.01
FRAFrance10010.871.02-5.94.561.83
GBRUK10050.911.03-0.95.511.98
GHAGhana70-70.790.81-91.7-5.024.03
GRCGreece9760.951.23-2.06.191.59
HUNHungary10000.841.0-97.90.46-
IDNIndonesia9280.90.97-34.71.882.38
INDIndia46-260.680.61-92.3-2.491.83
IRNIran4290.871.66-7.85.491.53
IRQIraq331072.31.930.07.991.33
ITAItaly9540.861.16-78.14.441.83
JPNJapan9920.921.02-27.10.312.21
KAZKazakhstan9060.851.15-46.22.892.48
KENKenya9350.911.01-18.92.171.43
KHMCambodia8760.750.89-98.5-4.612.57
LAOLao PDR77-30.670.75-96.7-2.192.92
LBNLebanon78250.991.780.07.841.41
LKASri Lanka9510.870.96-43.19.261.82
MARMorocco30661.131.82-1.17.051.47
MDGMadagascar71-130.740.860.06.664.69
MEXMexico82100.841.17-95.2-1.911.65
MLIMali49-110.730.77-99.1-2.772.47
MMRMyanmar66-50.570.87-97.6-4.061.63
MNGMongolia90120.861.57-31.6-0.291.45
MOZMozambique9820.91.170.08.822.02
MWIMalawi78-110.840.790.0-2.16
NERNiger13260.811.65-97.8-2.424.37
NGANigeria62-90.850.94-99.6-3.303.89
NPLNepal91170.941.19-89.5-3.891.61
PAKPakistan48-170.710.87-28.0-1.861.93
PERPeru7590.771.31-0.35.071.93
PHLPhilippines9460.850.91-47.81.212.66
POLPoland10000.931.13-68.41.333.78
PRYParaguay9820.91.1-86.0-1.553.28
ROURomania10020.921.14-87.32.791.62
RUSRussia9820.911.07-62.53.452.04
SAUSaudi Arabia28-80.631.84-5.12.461.72
SDNSudan14-520.51.06-99.7-1.841.59
SENSenegal27-200.730.65-97.5-2.952.01
SRBSerbia9900.931.17-93.81.84-
SSDSouth Sudan72-50.720.49-92.8-0.351.37
SWESweden10000.951.08-1.13.162.32
SYRSyria591352.81.980.07.691.29
TCDChad65-80.750.86-98.9-5.123.16
TGOTogo63-150.620.66-89.9-5.903.88
THAThailand8230.740.79-97.1-4.622.58
TKMTurkmenistan45160.891.93-0.37.071.80
TUNTunisia22240.741.58-12.35.371.55
TURTurkey91151.011.5-12.06.001.43
TZATanzania87-10.861.07-0.95.201.76
UGAUganda97100.891.03-82.4-1.971.60
UKRUkraine9910.911.13-93.03.601.98
URYUruguay9810.841.13-16.2-3.562.20
USAUSA9300.881.03-47.10.542.59
UZBUzbekistan81110.931.560.05.551.52
VENVenezuela9490.850.89-83.4-6.282.15
VNMViet Nam8850.830.9-90.0-2.982.18
ZAFSouth Africa71180.91.5-25.73.261.63
ZMBZambia8850.881.410.08.352.37
ZWEZimbabwe78190.931.480.09.461.62

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 (May-July) over the past five years (5YA).