Bulletin

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Agronomic IndicatorsAppendix A: Indicators

Authors: yangld,air_panqc | Edit: zenghongwei

Table A.2 July 2025 - September 2025 agronomic indicators by major production country

Country code

Country name

CALF

current(%)

CALF 

5YA Departure (%)

Maximum VCI

CroPI

ADAC  

PDSI  

CWSI

AFG

Afghanistan

9

24

0.88

0.72

-4.21

-1.35

2.66

AGO

Angola

33

-15

1.05

1.6

-8.76

0.76

1.8

ARG

Argentina

69

2

0.93

1.5

-70.74

1.05

1.66

AUS

Australia

94

3

0.85

1.06

-12.66

-1.06

1.84

BGD

Bangladesh

91

-1

0.95

1.01

-15.3

-0.18

2.27

BLR

Belarus

100

0

0.92

1.06

-5.95

0.65

1.8

BRA

Brazil

83

-5

0.83

1.21

-3.31

-1

2.78

CAN

Canada

99

2

0.89

1.04

-7.23

-1.44

1.99

CHN

China

98

0

0.95

1.03

-50.44

-0.22

1.66

DEU

Germany

99

0

0.81

0.96

-3.85

-1.23

1.92

DZA

Algeria

4

-55

0.76

1.26

-3.31

-0.03

2.52

EGY

Egypt

64

4

0.93

0.97

-4.59

-2.62

2

ETH

Ethiopia

95

-3

0.92

1

-9.48

-1.39

2.17

FRA

France

94

-2

0.79

0.93

-14.23

0.02

2.22

GBR

UK

99

0

0.75

0.87

-8.1

-2.44

2.61

HUN

Hungary

86

-9

0.65

0.82

-4.86

-1.71

2.98

IDN

Indonesia

99

0

0.94

1.03

-48.3

0.5

1.7

IND

India

95

0

0.92

1.01

-11.5

2.13

2.01

IRN

Iran

9

-10

0.75

0.68

-4.73

-1.77

2.42

ITA

Italy

71

-7

0.79

1.05

-55.2

0.3

1.81

KAZ

Kazakhstan

77

8

0.82

1.23

-54.22

-0.03

1.56

KEN

Kenya

76

-1

0.84

1.04

-33.38

-0.4

1.93

KGZ

Kyrgyzstan

64

-18

0.71

0.78

-20.2

-1.98

2.62

KHM

Cambodia

95

-1

0.91

0.97

-5.19

1.02

2.17

LAO

Lao PDR

92

-6

0.91

0.94

-6.58

0.19

1.95

LBN

Lebanon

18

-24

0.57

0.6

-7.76

-3.17

2.55

LKA

Sri Lanka

97

-1

0.84

0.93

-73.41

-1.02

1.83

MAR

Morocco

4

-30

0.77

0.9

-22.05

0.2

2.17

MDG

Madagascar

62

-21

0.98

1.24

-29.16

-1.69

2.39

MEX

Mexico

91

4

0.93

1.16

-20.53

-0.2

1.83

MMR

Myanmar

90

-5

0.92

0.97

-25.82

3.41

1.55

MNG

Mongolia

73

-22

0.57

0.7

-22.01

-1.78

1.95

MOZ

Mozambique

90

0

0.98

1.35

-41.63

0.63

2.17

MUS

Mauritius

0

-100

0

0

0



NGA

Nigeria

93

-1

0.91

1.01

-1.31

-0.6

3.58

PAK

Pakistan

72

19

0.87

1.04

-7.94

-0.28

1.55

PHL

Philippines

99

-1

0.92

0.98

-59.34

3.38

1.65

POL

Poland

100

0

0.82

1

-6.51

-1.96

1.98

ROU

Romania

71

-18

0.58

0.8

-4

-1.4

3.31

RUS

Russia

89

-4

0.85

1.05

-21.78

-0.25

1.78

SYR

Syria

5

-24

1.19

0.71

-6.4

-1.98

2.34

THA

Thailand

97

-3

0.93

0.96

-7.73

0.38

1.88

TUR

Turkey

31

-29

0.58

0.74

-28.58

-1.58

2.41

UKR

Ukraine

78

-13

0.69

0.83

-3.05

-1.83

2.47

USA

USA

92

5

0.91

1.11

-33.46

0.1

1.78

UZB

Uzbekistan

42

-25

0.69

0.72

-7.85

-1.07

2.51

VNM

Viet Nam

97

0

0.93

1

-8.87

1.08

2.04

ZAF

South Africa

33

13

1.09

1.37

-40.07

0.92

1.44

ZMB

Zambia

32

-13

0.85

1.35

-38.42

-1.61

2.82

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).