Bulletin

CropWatch bulletin
A.3 Agronomic IndicatorsAppendix A: Indicators

Authors: yangld | Edit: lirui

Table A.3 January - March 2026 agronomic indicators by major production country

Country CodeCountry NameCALFMaximum
VCI
CroPIADACPDSICWSI
Current
(%)
5YA
Departure
(%)
CurrentCurrentCurrent
(%)
CurrentCurrent
AFGAfghanistan23-270.810.74-59.8-5.172.20
AGOAngola90-30.910.96-2.7-5.122.31
ARGArgentina9710.881.05-8.00.312.26
AUSAustralia23-40.771.11-39.21.452.34
AUTAustria96160.780.98-96.7-5.951.89
AZEAzerbaijan76100.891.17-30.8-5.321.98
BENBenin50130.861.28-69.89.274.78
BFABurkina Faso6-40.970.97-27.39.863.17
BGDBangladesh85-20.880.93-94.0-1.93
BGRBulgaria93160.841.18-24.2-7.431.65
BLRBelarus10050.770.99-34.0-6.742.66
BOLBolivia9840.941.17-71.3-3.703.67
BRABrazil90-20.91.0-8.6-2.042.54
CANCanada80-41.371.43-92.4-6.022.53
CHLChile8530.851.13-22.18.912.05
CHNChina54-120.90.94-58.73.672.04
CMRCameroon22-10.821.03-93.96.543.61
CODDemocratic Republic of the Congo87-20.880.99-19.3-2.682.49
COLColombia9430.841.08-88.11.781.47
CUBCuba90-60.930.98-83.35.651.43
DEUGermany9780.811.1-9.4-7.292.28
DNKDenmark9870.751.020.0-7.012.21
DZAAlgeria72421.371.7-82.5-5.291.58
EGYEgypt85-20.840.91-8.2-5.832.37
ESPSpain8270.861.13-10.6-6.731.55
ETHEthiopia4450.810.94-93.74.661.76
FINFinland10000.971.9-4.6-3.485.51
FRAFrance9740.911.08-2.0-8.001.68
GBRUK9830.931.13-2.1-8.581.68
GHAGhana28-240.930.78-37.67.453.48
GRCGreece9210.910.96-1.9-7.731.69
HUNHungary94220.831.03-72.6-6.271.78
IDNIndonesia9310.721.07-2.9-3.372.18
INDIndia8200.891.05-35.56.451.81
IRNIran41-20.650.83-66.3-6.561.89
IRQIraq54-60.720.9-0.2-4.921.69
ITAItaly92-10.870.9-5.4-5.721.47
JPNJapan85141.01.45-16.8-0.952.86
KAZKazakhstan9011.091.21-32.6-8.023.73
KENKenya9440.921.17-21.5-0.011.70
KHMCambodia73-120.850.89-92.46.182.00
LAOLao PDR79-40.91.01-80.67.413.14
LKASri Lanka9750.871.06-11.6-2.631.91
MARMorocco91451.091.68-62.0-4.021.31
MDGMadagascar9120.91.05-91.7-3.482.55
MEXMexico4730.791.06-18.06.401.86
MLIMali4-310.820.51-5.59.942.18
MMRMyanmar8280.91.14-88.58.831.66
MNGMongolia9610.911.21-42.71.721.83
MOZMozambique86-30.910.99-93.0-3.601.88
MWIMalawi85-30.91.01-0.1-3.192.28
NERNiger1150.911.59-3.19.792.53
NGANigeria15-120.871.12-90.69.363.60
NPLNepal74-140.940.88-32.2-1.88
PAKPakistan8410.881.03-43.73.292.07
PERPeru8320.881.09-1.6-0.291.57
PHLPhilippines9500.91.0-11.24.171.88
POLPoland9670.740.97-36.7-7.502.47
PRYParaguay10010.941.06-0.70.553.58
ROURomania91170.881.11-42.9-6.721.75
RUSRussia9631.461.11-41.2-7.613.21
SAUSaudi Arabia40-240.520.59-17.0-3.172.31
SDNSudan4-110.710.86-96.48.331.93
SENSenegal5-110.870.850.06.801.73
SRBSerbia91140.961.12-78.4-7.331.72
SSDSouth Sudan26-40.730.87-91.97.321.92
SWESweden9990.751.0-3.3-7.662.75
SYRSyria53-50.721.06-97.1-6.091.59
TCDChad11250.841.3-91.1-5.06
TGOTogo52-60.881.2-63.88.153.37
THAThailand86-10.921.09-88.77.852.14
TKMTurkmenistan22620.981.77-7.2-4.292.18
TUNTunisia57120.891.23-24.3-4.051.72
TURTurkey7180.730.98-40.5-7.341.61
TZATanzania88-20.870.98-10.2-4.041.86
UGAUganda9120.911.1-59.33.111.55
UKRUkraine98290.781.34-31.9-7.212.15
URYUruguay9920.750.96-1.00.232.76
USAUSA46-100.850.97-76.5-4.083.34
UZBUzbekistan3300.841.07-22.2-6.751.82
VENVenezuela86-30.740.88-61.34.522.04
VNMViet Nam9110.861.05-42.35.552.01
ZAFSouth Africa8600.871.0-18.8-2.041.96
ZMBZambia86-40.881.04-98.4-5.232.21
ZWEZimbabwe86-60.930.97-93.7-3.901.64

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 (January-March) over the past five years (5YA).