Potential Impacts World Food Supply

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Potential Impacts of Climate Change on World Food Supply, v1 (19952110)

and Ana Iglesias of Universidad Politecnica de Madrid anddisseminated by the NASA

Socioeconomic Data and Applications Center (SEDAC), managed by CIESIN at Columbia

University

Original release: October, 2000http://sedac.ciesin.columbia.edu/data/set/crop-climate-potential-impacts-world-food-supply

Food Production from SRES Emissions and Socioeconomic Scenarios, v1 (19702080)" by the same

authors. Users are recommended to use the new data instead. SEDAC is maintaining this data set for

reference purposes.

Data DescriptionGlobal Climate Models) were used as inputs for crop simulation models at 125 agricultural sites

representing major world agricultural regions. These process-based dynamic crop growth models

simulate the effects of meteorological variables (e.g., temperature, precipitation, and solar radiation),

environmental modifications (e.g. CO2 enrichment), and crop management strategies (e.g., fertilization,

irrigation, and timing of labors) on crop physiology and yields. Models were used for the three most

significant cereal crops - wheat, rice, and coarse grains (e.g., maize, barley, etc) - which collectively

account for over 85% of global cereal exports, and for soy bean, which accounts for 67% of trade in

protein cake equivalent. For each GCM scenario (GISS, GFDL and UK Met Office), three levels of

1) No adaptation;

policy changes, such as shifts in planting dates, variety and crop, and increases in water application to

3) Level 2 adaptation: higher order adaptations that imply significant additional costs to the farmers,

such as large shifts in crop production timing, increased fertilizer application, installation of irrigationsystems, and development of new varieties, and/or changes in policy.

GCMs for an increased CO2 driven climate change, at the different adaptation levels described above,

both with and without the direct effects of CO2 enrichment on crop physiology. A full list of the 46

scenarios used in this set of studies can be found under the Scenario section of this web resource.

Once the crop simulation models were run, the estimated change in yields for each crop at specific field

stations were used to estimate changes at sub-national or national levels (depending on the number of

agricultural sites per country), and these changes were then aggregated to the trade economic regions

of the economic model used (BLS). If a crop is simply not present in a country, then the estimated

change in yields was not calculated (e.g., rice in Canada). For those countries that did not include

agricultural sites, the results were extrapolated on the basis of their crop-climate profiles. This web

resource makes available the estimated percentage change in yield for the four commodities (wheat,

changes that are already anticipated to take place, such as projected future increases in yields due to

changes in technology. The adaptation scenarios include different levels of agricultural technology and

inputs. The rate of technological innovations considered in adaptation Level 2 is correlated to the

economic regional development. For other caveats and to better understand the limitations of the data,

read through the data limitations section of this web resource.
http://sedac.ciesin.columbia.edu/data/set/crop-climate-potential-impacts-world-food-supplyhttp://sedac.ciesin.columbia.edu/data/set/crop-climate-potential-impacts-world-food-supply


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More on the Basic Linked Systemcomprised of 16 national (including EU) models with a common structure, 4 models with country-

specific structure and 14 regional group models. The political changes as well as changes in national

boundaries of the very recent past are not in the BLS, although the model formulation has been

adjusted away from centrally planned economies to more market-oriented behavior. The 20 models in

the first two groups cover approximately 80 percent of world agricultural production; the remaining 20%is covered by the 14 regional models for countries with broadly similar attributes (for example African oil-

exporting countries or Latin American high-income exporting countries). The BLS is a general

equilibrium model system, with representation of all economic sectors, empirically estimated

parameters and no unaccounted supply sources or demand sinks. Countries are linked through trade,

Data Set Limitations

To better interpret the data sets developed by crop modeling studies, users need to be aware of the

many uncertainties that could not be addressed.

1. Pests and diseases.The potential effects of climate change on crop damage due to pests and

diseases was not considered in the study and assumed to remain at the current level. At present

damage is estimated to reduce potential global crop yields by 30% each year. Future changes in

temperature and precipitation will undoubtedly effect the prevalence and geographic extent of specific

pests such as bacteria, nematodes, and insects, which in turn will impact upon crop losses.

2. Climatic variability.Increased seasonal or annual climatic variability as well as variability across small

geographic areas is expected to go hand-in-hand with broader secular trends in temperature increase.

These seasonal, annual and geographic variations are not captured very well by existing GCMs, and

therefore were not accounted for in this study. For more on this topic, see studies on climate variability

3. Extreme weather events.Climate change is predicted to affect the frequency and severity of extreme

weather events such as cyclones, hurricanes, and prolonged droughts. Extreme weather events can

result in significant crop losses from wind damage, flooding, or inadequate soil moisture. Although it is

recognized that extreme weather will affect future yields, it is very difficult to model such stochastic

4. Impacts of CO2enrichment.Thus far, the applications of enhanced concentrations of CO2to crops

have been conducted in highly controlled laboratory experiments. The only exception to this is a major

field-based set of experiments in Arizona calledthe FACE experiments. In all cases the crop growing

conditions differ from those in the real world, most notably in the control of weed competitors. Under

normal conditions, crops compete with weeds, which also respond to climate change and enriched

CO2. Depending on the circumstances, the effect of climate change may be for weeds to grow faster

than field crops. This would have a negative impact on crop yields, and would in all likelihood require

For more on these and other factors that cannot fully be taken into account in crop-climate modeling,

see the recent report entitledClimate Change and U.S. Agriculture: The Impacts of Warming and

Extreme Weather Events on Productivity, Plant Diseases, and Pestsby Rosenzweig,et al.

The Climate Change ScenariosScenarios of future climate were derived from the output of general circulation models (GCMs) driven

by anticipated changes in atmospheric composition (e.g., CO2emissions, sulphate aerosols,

etc).GCMsare mathematical models that describe the processes that are known to occur in the earth's

climate system and their possible interactions. Such models are used to forecast the trend of climate

over the coming decades. Their results are still tentative and should not be accepted uncritically.

However, we should examine the implications of their predictions, while continuing to look for the


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Two kinds of climate change scenarios were utilized: equilibrium scenarios and transient scenarios. The

former are based on the assumption of a doubling of atmospheric CO2concentrations from pre-

industrial levels (i.e., from 227 ppm to 555 ppm). When that will happen no one can be sure, so

equilibrium scenarios are not tied to specific future dates, but rather simply reflect the point at which

CO2is doubled in the atmosphere. The equilibrium scenarios for three major GCMs were utilized in this

study: TheGoddard Institute for Space Studies(GISS), theGeophysical Fluid Dynamics

Transient scenarios, by contrast, are time dependent. They tell you what will happen at some date in

the future based on assumptions contained within the model. The transient scenarios considered were

derived from simulations with theHadley Centre for Climate Prediction and Research'sClimate Model 2

(HadCM2) and Climate Model 3 (HadCM3) of the UK Met Office. The studies analyzed three sets of

scenarios derived from the HadCM2 and HadCM3 models with different forcing emmission scenarios.

HadCM3-A: A variation of the HadCM3 model forced with greenhouse gas concentrations derived

form the IS95a emission scenario.

HadCM2-S550: HadCM2 model forced with a CO2stabilization scenario (clean scenario). This

simulation assumes a major policy effort to reduce greenhouse gas emissions, with stabilization at

HadCM2-S750: HadCM2 model forced with a CO2stabilization scenario (less clean scenario). This

simulation assumes a more modest policy effort to bring about stabilization of CO2emissions to 750

The Agricultural ScenariosFuture agricultural scenarios were the combination of the climate change, crop response scenarios (i.e.,

physiological response to elevated CO2), and farmers' adaptive responses. Thus, the crop simulations

were based on some combination of the following assumptions:

Climate change scenarios [8 to choose from] +

CO2effects on crop growth [either with or without] +

Adaptation [none, level 1 and level 2]

For more information on these agricultural scenarios, please see theMethodologysection above.

Data Set Citation Supply, v1 (19952110). Palisades, NY: Socioeconomic Data and Applications Center (SEDAC),

Columbia University. Available at http://sedac.ciesin.columbia.edu/data/set/crop-climate-potential-

impacts-world-food-supply (date of download)


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Scenario Time_Slice

CO2

effects CO2 ppm

Adapt-

ation wheat rice

coarse

grains

protein

feed grains

four

commo-

dities

GISS Equilibrium No 330 No -46 -46 -17 -17 -36 -32

GISS Equilibrium Yes 555 No -34 -35 -13 0 -27 -21

GISS Equilibrium Yes 555 Level 1 -15 -15 0 17 -10 -3

GISS Equilibrium Yes 555 Level 2 0 0 0 17 0 4

GFDL Equilibrium No 330 No -43 -43 -28 -28 -38 -36

GFDL Equilibrium Yes 555 No -31 -32 -24 -11 -29 -25

GFDL Equilibrium Yes 555 Level 1 -11 -11 -10 6 -11 -7GFDL Equilibrium Yes 555 Level 2 -6 -6 -5 6 -6 -3

UKMO Equilibrium No 330 No -52 -52 -25 -25 -43 -39

UKMO Equilibrium Yes 555 No -40 -41 -21 -8 -34 -28

UKMO Equilibrium Yes 555 Level 1 -20 -20 -7 9 -16 -10

UKMO Equilibrium Yes 555 Level 2 -10 -10 -3 9 -8 -4

CM3-A 2020 No 330 Level 1 -2 -2 -4 1 -3 -2

CM3-A 2020 Yes 475 Level 1 4 2 0 9 2 4

CM3-A 2050 No 330 Level 1 -7 -7 -9 -1 -8 -6

CM3-A 2050 Yes 574 Level 1 5 4 -5 16 1 5

CM3-A 2080 No 330 Level 1 -10 -10 -14 -7 -11 -10

CM3-A 2080 Yes 712 Level 1 7 6 -8 16 2 5

CM2-S550 2020 No 330 Level 1 -2 -2 -1 3 -2 -1

CM2-S550 2020 Yes 410 Level 1 3 1 1 10 2 4

CM2-S550 2050 No 330 Level 1 -2 -2 -4 1 -3 -2

CM2-S550 2050 Yes 458 Level 1 6 3 -2 12 2 5CM2-S550 2080 No 330 Level 1 -3 -3 -4 2 -3 -2

CM2-S550 2080 Yes 498 Level 1 8 7 -1 16 5 8

CM2-S550 2110 No 330 Level 1 -3 -3 1 7 -2 1

CM2-S550 2110 Yes 530 Level 1 7 5 4 21 5 9

CM2-S750 2020 No 330 Level 1 -1 -1 -2 2 -1 -1

CM2-S750 2020 Yes 424 Level 1 3 1 -1 8 1 3

CM2-S750 2050 No 330 Level 1 -3 -3 0 6 -2 0

CM2-S750 2050 Yes 501 Level 1 5 2 2 17 3 7

CM2-S750 2080 No 330 Level 1 -3 -3 -5 1 -4 -3

CM2-S750 2080 Yes 577 Level 1 9 8 -1 18 5 9

CM2-S750 2110 No 330 Level 1 -5 -5 -7 0 -6 -4

CM2-S750 2110 Yes 643 Level 1 10 9 -2 20 6 9

GISS Equilibrium No 330 No -51 -35 -19 -35 -35 -35

GISS Equilibrium Yes 555 No -39 -24 -15 -18 -26 -24

GISS Equilibrium Yes 555 Level 1 -33 -16 -12 13 -20 -12

GISS Equilibrium Yes 555 Level 2 -16 -8 -6 13 -10 -4GFDL Equilibrium No 330 No -38 -26 -20 -20 -28 -26

GFDL Equilibrium Yes 555 No -26 -15 -16 -3 -19 -15

GFDL Equilibrium Yes 555 Level 1 -17 -7 -13 11 -12 -7

GFDL Equilibrium Yes 555 Level 2 -8 -3 -6 11 -6 -2

UKMO Equilibrium No 330 No -53 -44 -27 -53 -41 -44

UKMO Equilibrium Yes 555 No -41 -33 -23 -36 -32 -33

UKMO Equilibrium Yes 555 Level 1 -31 -25 -20 -7 -25 -21

UKMO Equilibrium Yes 555 Level 2 -15 -12 -10 -3 -12 -10

CM3-A 2020 No 330 Level 1 -24 -24 -3 -13 -17 -16

CM3-A 2020 Yes 475 Level 1 -18 -20 1 -5 -12 -11

CM3-A 2050 No 330 Level 1 -41 -41 -8 -25 -30 -29


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CM3-A 2050 Yes 574 Level 1 -29 -30 -4 -8 -21 -18

CM3-A 2080 No 330 Level 1 -55 -55 -13 -38 -41 -40

CM3-A 2080 Yes 712 Level 1 -38 -39 -7 -15 -28 -25

CM2-S550 2020 No 330 Level 1 -8 -8 -1 -4 -6 -5

CM2-S550 2020 Yes 410 Level 1 -4 -6 3 3 -2 -1

CM2-S550 2050 No 330 Level 1 -5 -5 3 0 -2 -2

CM2-S550 2050 Yes 458 Level 1 3 0 5 11 3 5

CM2-S550 2080 No 330 Level 1 -22 -22 -5 -16 -16 -16

CM2-S550 2080 Yes 498 Level 1 -14 -17 -3 -1 -11 -9

CM2-S550 2110 No 330 Level 1 -6 -6 2 -12 -3 -6CM2-S550 2110 Yes 530 Level 1 4 2 5 2 4 3

CM2-S750 2020 No 330 Level 1 -11 -11 -2 -19 -8 -11

CM2-S750 2020 Yes 424 Level 1 -7 -9 -1 -13 -6 -8

CM2-S750 2050 No 330 Level 1 -6 -6 1 -14 -4 -6

CM2-S750 2050 Yes 501 Level 1 2 -1 3 -3 1 0

CM2-S750 2080 No 330 Level 1 -8 -8 1 -17 -5 -8

CM2-S750 2080 Yes 577 Level 1 4 3 5 0 4 3

CM2-S750 2110 No 330 Level 1 -14 -14 -1 -23 -10 -13

CM2-S750 2110 Yes 643 Level 1 1 0 4 -3 2 1


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Note that these scenarios wereremoved from the data set owing to

problems with the crop response data

(January 2007).


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File Code BLS Code BLS Region 1 BLS Region 2

1 9Argentina Argentina

2 21 Brazil Brazil

3 138 Mexico Mexico

4 906 L.A. High Inc. Cal. Exp. Latin Amer 1

5 907 L.A. High Inc. Cal. Imp. Latin Amer 2

6 908 L.A. Med.-Low Inc. Latin Amer 37 231 USA USA

8 33 Canada Canada

9 888 EU Europe

10 223 Turkey Turkey

11 777 Russia + Republics Russia + Republics

12 59 Egypt Egypt

13 114 Kenya Kenya

14 159 Nigeria Nigeria

15 901Afr. Oil Exporters Africa 1

16 902Afr. Med. Inc. Cal. Exp. Africa 2

17 903Afr. Med. Inc. Cal. Imp. Africa 3

18 904Afr. Low Inc. Cal. Exp. Africa 419 905Afr. Low Inc. Cal. Imp. Africa 5

20 912 N.E.A. Oil Exp. High Inc. NE Asia 1

21 913 N.E.A. Med.-Low Inc. NE Asia 2

22 165 Pakistan Pakistan

23 100 India India

24 101 Indonesia Indonesia

25 216 Thailand Thailand

26 41 China China

27 110 Japan Japan

28 909 F.E.A. High-Med. Inc. Cal. Exp. FE Asia 1

29 910 F.E.A. High-Med. Inc. Cal. Imp. FE Asia 2

30 911 F.E.A. Low Inc. FE Asia 3

31 10Australia Australia

32 156 New Zealand New Zealand


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Crop Crop Code Description

wheat w all wheat

rice r all rice

coarse grains c coarse grains (corn, barley, sorghum, etc)

protein feed p protein feed (soybean)

grains g average of grains (wheat, rice, coarse grains)four commodities f average of grains and protein feed


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COUNTRY_M BLSCode_M YieldCode_M BLSREGION_M MAPCODE

Afghanistan 913 913 N.E.A. Med.-Low Inc. NE Asia 2

Albania 916 888 EU Europe

Algeria 901 901 Afr. Oil Exporters Africa 1

Angola 901 901 Afr. Oil Exporters Africa 1

Antarctica 0 0

Argentina 9 9 Argentina ArgentinaArmenia 777 223 Turkey Turkey

Australia 10 10 Australia Australia

Austria 11 888 EU Europe

Azerbaijan 777 223 Turkey Turkey

Bangladesh 911 911 F.E.A. Low Inc. FE Asia 3

Belarus 777 777 Russia + Republics Russia + Republics

Belgium 888 888 EU Europe

Belize 915 21 Brazil Brazil

Benin 904 904 Afr. Low Inc. Cal. Exp. Africa 4

Bhutan 915 910 F.E.A. High-Med. Inc.

Cal. Imp. FE Asia 2

Bolivia 908 9 Argentina ArgentinaBosnia and

Herzegovina

916 777 Russia + Republics

Russia + Republics

Botswana 915 903 Afr. Med. Inc. Cal. Imp.

Africa 3

Brazil 21 21 Brazil Brazil

Brunei 915 910 F.E.A. High-Med. Inc.

Cal. Imp. FE Asia 2

Bulgaria 777 777 Russia + Republics Russia + Republics

Burkina Faso 905 905 Afr. Low Inc. Cal. Imp. Africa 5

Burundi 905 905 Afr. Low Inc. Cal. Imp. Africa 5

Cambodia 910 910 F.E.A. High-Med. Inc.

Cal. Imp. FE Asia 2

Cameroon 902 902 Afr. Med. Inc. Cal. Exp.Africa 2

Canada 33 33 Canada Canada

Central

African

Republic

905 905 Afr. Low Inc. Cal. Imp.

Africa 5

Chad 905 905 Afr. Low Inc. Cal. Imp. Africa 5

Chile 907 907 L.A. High Inc. Cal. Imp.

Latin Amer 2

China 41 41 China China

Colombia 908 908 L.A. Med.-Low Inc. Latin Amer 3

Congo 901 901 Afr. Oil Exporters Africa 1

Costa Rica 906 21 Brazil BrazilCroatia 916 777 Russia + Republics Russia + Republics

Cuba 906 21 Brazil Brazil

Cyprus 912 912 N.E.A. Oil Exp. High

Inc. NE Asia 1

Czech

Republic


Russia + Republics

Denmark 888 888 EU Europe


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Djibouti 915 906 L.A. High Inc. Cal. Exp.

Latin Amer 1

Dominican

Republic

906 21 Brazil

Brazil

Ecuador 906 906 L.A. High Inc. Cal. Exp.

Latin Amer 1

Egypt 59 59 Egypt EgyptEl Salvador 908 908 L.A. Med.-Low Inc. Latin Amer 3

Equatorial

Guinea

915 903 Afr. Med. Inc. Cal. Imp.

Africa 3

Eritrea 903 903 Afr. Med. Inc. Cal. Imp.

Africa 3

Estonia 777 777 Russia + Republics Russia + Republics

Ethiopia 904 904 Afr. Low Inc. Cal. Exp. Africa 4

Federal Rep.

of Yugoslavia


Russia + Republics

Federal Rep.

of Yugoslavia


Russia + Republics

Finland 916 777 Russia + Republics Russia + RepublicsFrance 888 888 EU Europe

French

Guiana

915 903 Afr. Med. Inc. Cal. Imp.

Africa 3

Gabon 901 901 Afr. Oil Exporters Africa 1

Gambia 904 904 Afr. Low Inc. Cal. Exp. Africa 4

Georgia 777 777 Russia + Republics Russia + Republics

Germany 888 888 EU Europe

Ghana 902 902 Afr. Med. Inc. Cal. Exp.

Africa 2

Greece 916 888 EU Europe

Greenland

(Denmark)

0 0

Guatemala 908 908 L.A. Med.-Low Inc. Latin Amer 3

Guinea 905 905 Afr. Low Inc. Cal. Imp. Africa 5

Guinea Bissau 915 905 Afr. Low Inc. Cal. Imp.

Africa 5

Guyana 908 908 L.A. Med.-Low Inc. Latin Amer 3

Haiti 908 908 L.A. Med.-Low Inc. Latin Amer 3

Honduras 908 908 L.A. Med.-Low Inc. Latin Amer 3

Hungary 777 777 Russia + Republics Russia + Republics

Iceland 916 777 Russia + Republics

India 100 100 India India

Indonesia 101 101 Indonesia Indonesia

Iran 912 912 N.E.A. Oil Exp. High

Inc. NE Asia 1Iraq 912 912 N.E.A. Oil Exp. High

Inc. NE Asia 1

Ireland 888 888 EU Europe

Israel 916 59 Egypt Egypt

Italy 888 888 EU Europe

Ivory Coast 902 902 Afr. Med. Inc. Cal. Exp.

Africa 2


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Jamaica 907 907 L.A. High Inc. Cal. Imp.

Latin Amer 2

Japan 110 110 Japan Japan

Jordan 913 913 N.E.A. Med.-Low Inc. NE Asia 2

Kazakhstan 777 777 Russia + Republics Russia + Republics

Kenya 114 114 Kenya Kenya

KoreaDem.People's

Rep.

910 110 Japan

Japan

Korea,

Republic Of

910 110 Japan

Japan

Kuwait 915 912 N.E.A. Oil Exp. High

Inc. NE Asia 1

Kyrgyzstan 777 223 Turkey Turkey

Laos 910 910 F.E.A. High-Med. Inc.

Cal. Imp. FE Asia 2

Latvia 777 777 Russia + Republics Russia + Republics

Lebanon 912 912 N.E.A. Oil Exp. High

Inc. NE Asia 1Lesotho 915 912 N.E.A. Oil Exp. High

Inc. NE Asia 1

Liberia 903 903 Afr. Med. Inc. Cal. Imp.

Africa 3

Libya 912 912 N.E.A. Oil Exp. High

Inc. NE Asia 1

Lithuania 777 777 Russia + Republics Russia + Republics

Luxembourg 888 888 EU Europe

Macedonia 916 888 EU Europe

Madagascar 905 905 Afr. Low Inc. Cal. Imp. Africa 5

Malawi 904 904 Afr. Low Inc. Cal. Exp. Africa 4

Malaysia 909 909 F.E.A. High-Med. Inc.

Cal. Exp. FE Asia 1

Mali 905 905 Afr. Low Inc. Cal. Imp. Africa 5

Mauritania 903 903 Afr. Med. Inc. Cal. Imp.

Africa 3

Mexico 138 138 Mexico Mexico

Moldova 777 777 Russia + Republics Russia + Republics

Mongolia 915 41 China China

Morocco 903 903 Afr. Med. Inc. Cal. Imp.

Africa 3

Mozambique 904 904 Afr. Low Inc. Cal. Exp. Africa 4

Myanmar 911 911 F.E.A. Low Inc. FE Asia 3

Namibia 915 904 Afr. Low Inc. Cal. Exp. Africa 4

Nepal 911 911 F.E.A. Low Inc. FE Asia 3Netherlands 888 888 EU Europe

New Zealand 156 156 New Zealand New Zealand

Nicaragua 908 908 L.A. Med.-Low Inc. Latin Amer 3

Niger 905 905 Afr. Low Inc. Cal. Imp. Africa 5

Nigeria 159 159 Nigeria Nigeria

Norway 916 777 Russia + Republics Russia + Republics

Oman 915 912 N.E.A. Oil Exp. High

Inc. NE Asia 1


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File Code BLS Code BLS Region 1 BLS Region 2 w1 r1

1 9Argentina Argentina -46 -46

2 21 Brazil Brazil -51 -35

3 138 Mexico Mexico -53 -43

4 906 L.A. High Inc. Cal. Exp. Latin Amer 1 -46 -30

5 907 L.A. High Inc. Cal. Imp. Latin Amer 2 -46 -35

6 908 L.A. Med.-Low Inc. Latin Amer 3 -51 -377 231 USA USA -21 -18

8 33 Canada Canada -12 -12

9 888 EU Europe -12 -12

10 223 Turkey Turkey -30 -30

11 777 Russia + Republics Russia + Republics -8 -8

12 59 Egypt Egypt -36 -32

13 114 Kenya Kenya -35 -35

14 159 Nigeria Nigeria -25 -15

15 901Afr. Oil Exporters Africa 1 -35 -35

16 902Afr. Med. Inc. Cal. Exp. Africa 2 -23 -23

17 903Afr. Med. Inc. Cal. Imp. Africa 3 -35 -35

18 904Afr. Low Inc. Cal. Exp. Africa 4 -40 -4019 905Afr. Low Inc. Cal. Imp. Africa 5 -45 -45

20 912 N.E.A. Oil Exp. High Inc. NE Asia 1 -35 -35

21 913 N.E.A. Med.-Low Inc. NE Asia 2 -45 -45

22 165 Pakistan Pakistan -57 -57

23 100 India India -32 -27

24 101 Indonesia Indonesia -34 -34

25 216 Thailand Thailand -40 -40

26 41 China China -5 -24

27 110 Japan Japan -18 -10

28 909 F.E.A. High-Med. Inc. Cal. Exp. FE Asia 1 -54 -34

29 910 F.E.A. High-Med. Inc. Cal. Imp. FE Asia 2 -12 -25

30 911 F.E.A. Low Inc. FE Asia 3 -32 -34

31 10Australia Australia -18 -13

32 156 New Zealand New Zealand 2 2


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c1 p1 g1 f1 w2 r2 c2 p2 g2

-17 -17 -36.3 -31.5 -34 -35 -13 0 -27.3

-19 -35 -35 -35 -39 -24 -15 -18 -26

-43 -43 -46.3 -45.5 -41 -32 -39 -26 -37.3

-19 -35 -31.7 -32.5 -34 -19 -15 -18 -22.7

-19 -35 -33.3 -33.8 -34 -24 -15 -18 -24.3

-19 -35 -35.7 -35.5 -39 -26 -15 -18 -26.7-20 -14 -19.7 -18.3 -9 -7 -16 3 -10.7

-5 2 -9.7 -6.8 0 -1 -1 19 -0.7

-8 -10 -10.7 -10.5 0 -1 -4 7 -1.7

-25 -25 -28.3 -27.5 -18 -19 -21 -8 -19.3

-8 -8 -8 -8 4 3 -4 9 1

-25 -31 -31 -31 -24 -21 -21 -14 -22

-35 -25 -35 -32.5 -23 -24 -31 -8 -26

-25 -30 -21.7 -23.8 -13 -4 -21 -13 -12.7

-20 -15 -30 -26.3 -23 -24 -16 2 -21

-23 -13 -23 -20.5 -11 -12 -19 4 -14

-30 -30 -33.3 -32.5 -23 -24 -26 -13 -24.3

-30 -30 -36.7 -35 -28 -29 -26 -13 -27.7-40 -30 -43.3 -40 -33 -34 -36 -13 -34.3

-30 -25 -33.3 -31.3 -23 -24 -26 -8 -24.3

-40 -35 -43.3 -41.3 -33 -34 -36 -18 -34.3

-52 -42 -55.3 -52 -45 -46 -48 -25 -46.3

-22 -27 -27 -27 -20 -16 -18 -10 -18

-34 -34 -34 -34 -22 -23 -30 -17 -25

-40 -40 -40 -40 -28 -29 -36 -23 -31

-21 -15 -16.7 -16.3 7 -13 -17 2 -7.7

-2 -10 -10 -10 -6 1 2 7 -1

-49 -34 -45.7 -42.8 -42 -23 -45 -17 -36.7

-12 -13 -16.3 -15.5 0 -14 -8 4 -7.3

-35 -20 -33.7 -30.3 -20 -23 -31 -3 -24.7

-16 -16 -15.7 -15.8 -6 -2 -12 1 -6.7

5 5 3 3.5 14 13 9 22 12


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f2 w3 r3 c3 p3 g3 f3 w4 r4

-20.5 -15 -15 0 17 -10 -3.3 0 0

-24 -33 -16 -12 13 -20.3 -12 -16 -8

-34.5 -31 -24 -35 -18 -30 -27 -15 -12

-21.5 -24 -11 -11 -10 -15.3 -14 -12 -5

-22.8 -24 -16 -11 -10 -17 -15.3 -12 -8

-24.5 -29 -18 -11 -10 -19.3 -17 -14 -9-7.3 0 1 0 17 0.3 4.5 0 1

4.3 27 27 15 27 23 24 27 27

0.5 8 8 1 15 5.7 8 8 8

-16.5 -8 -8 -5 0 -7 -5.3 -4 -4

3 25 11 12 17 16 16.3 25 11

-20 -31 -13 -17 -6 -20.3 -16.8 -16 -6

-21.5 -13 -13 -28 0 -18 -13.5 -6 -6

-12.8 -3 4 -18 -5 -5.7 -5.5 -1 4

-15.3 -13 -13 -11 10 -12.3 -6.8 -6 -6

-9.5 -1 -1 -14 12 -5.3 -1 0 0

-21.5 -13 -13 -21 -5 -15.7 -13 -6 -6

-24 -18 -18 -21 -5 -19 -15.5 -9 -9-29 -23 -23 -31 -5 -25.7 -20.5 -11 -11

-20.3 -13 -13 -13 0 -13 -9.8 -6 -6

-30.3 -23 -23 -23 -10 -23 -19.8 -11 -11

-41 -19 -38 -43 -17 -33.3 -29.3 -9 -19

-16 3 -8 -7 -2 -4 -3.5 3 -4

-23 -12 -7 -27 -9 -15.3 -13.8 -6 -3

-29 -18 -9 -33 -15 -20 -18.8 -9 -4

-5.3 16 0 0 17 5.3 8.3 16 0

1 0 9 23 24 10.7 14 0 9

-31.8 -32 -15 -41 -9 -29.3 -24.3 -16 -7

-4.5 10 -3 -2 12 1.7 4.3 10 0

-19.3 -10 -15 -27 5 -17.3 -11.8 -5 -7

-4.8 8 0 5 9 4.3 5.5 8 0

14.5 29 29 25 32 27.7 28.8 29 29


21/43

c4 p4 g4 f4 w5 r5 c5 p5 g5

0 17 0 4.3 -43 -43 -28 -28 -38

-6 13 -10 -4.3 -38 -26 -20 -20 -28

-17 -9 -14.7 -13.3 -46 -36 -36 -36 -39.3

-5 -5 -7.3 -6.8 -43 -28 -20 -20 -30.3

-5 -5 -8.3 -7.5 -43 -33 -20 -20 -32

-5 -5 -9.3 -8.3 -38 -28 -20 -20 -28.70 7 0.3 2 -23 -26 -29 -27 -26

15 27 23 24 -10 -10 -3 4 -7.7

1 15 5.7 8 -28 -28 -8 -18 -21.3

-2 0 -3.3 -2.5 -40 -40 -35 -35 -38.3

12 17 16 16.3 -21 -21 -21 -21 -21

-8 -3 -10 -8.3 -28 -26 -25 -26 -26.3

-14 0 -8.7 -6.5 -35 -35 -35 -25 -35

-9 -2 -2 -2 -35 -25 -35 -40 -31.7

-5 10 -5.7 -1.8 -40 -40 -25 -20 -35

-7 12 -2.3 1.3 19 19 -19 -9 6.3

-10 -2 -7.3 -6 -35 -35 -30 -30 -33.3

-10 -2 -9.3 -7.5 -50 -50 -40 -40 -46.7-15 -2 -12.3 -9.8 -45 -45 -40 -30 -43.3

-6 0 -6 -4.5 -40 -40 -35 -30 -38.3

-11 -5 -11 -9.5 -45 -45 -40 -35 -43.3

-21 -8 -16.3 -14.3 -29 -29 -24 -14 -27.3

-3 -1 -1.3 -1.3 -38 -33 -28 -33 -33

-13 -4 -7.3 -6.5 -26 -26 -26 -26 -26

-15 -7 -9.3 -8.8 -29 -29 -29 -29 -29

0 17 5.3 8.3 -12 -25 -20 -19 -19

23 24 10.7 14 -21 -23 -5 -16 -16.3

-20 -4 -14.3 -11.8 -46 -26 -41 -26 -37.7

0 12 3.3 5.5 -17 -26 -13 -16 -18.7

-13 5 -8.3 -5 -38 -26 -34 -19 -32.7

5 9 4.3 5.5 -16 -17 -17 -17 -16.7

25 32 27.7 28.8 -2 -2 0 0 -1.3


22/43

f5 w6 r6 c6 p6 g6 f6 w7 r7

-35.5 -31 -32 -24 -11 -29 -24.5 -11 -11

-26 -26 -15 -16 -3 -19 -15 -17 -7

-38.5 -34 -25 -32 -19 -30.3 -27.5 -24 -17

-27.8 -31 -17 -16 -3 -21.3 -16.8 -21 -9

-29 -31 -22 -16 -3 -23 -18 -21 -14

-26.5 -26 -17 -16 -3 -19.7 -15.5 -16 -9-26.3 -11 -15 -25 -10 -17 -15.3 0 0

-4.8 2 1 1 21 1.3 6.3 27 27

-20.5 -16 -17 -4 -1 -12.3 -9.5 0 0

-37.5 -28 -29 -31 -18 -29.3 -26.5 -18 -18

-21 -9 -10 -17 -4 -12 -10 6 0

-26.3 -16 -15 -21 -9 -17.3 -15.3 -26 -7

-32.5 -23 -24 -31 -8 -26 -21.5 -13 -13

-33.8 -23 -14 -31 -23 -22.7 -22.8 -13 -6

-31.3 -28 -29 -21 -3 -26 -20.3 -18 -18

2.5 31 30 -15 8 15.3 13.5 4 4

-32.5 -23 -24 -26 -13 -24.3 -21.5 -13 -13

-45 -38 -39 -36 -23 -37.7 -34 -28 -28-40 -33 -34 -36 -13 -34.3 -29 -23 -23

-36.3 -28 -29 -31 -13 -29.3 -25.3 -18 -18

-41.3 -33 -34 -36 -18 -34.3 -30.3 -23 -23

-24 -17 -18 -20 3 -18.3 -13 -7 -10

-33 -26 -22 -24 -16 -24 -22 -9 -14

-26 -14 -15 -22 -9 -17 -15 -4 2

-29 -17 -18 -25 -12 -20 -18 -7 2

-19 0 -14 -16 -2 -10 -8 8 0

-16.3 -9 -12 -1 1 -7.3 -5.3 0 0

-34.8 -34 -15 -37 -9 -28.7 -23.8 -24 -7

-18 -5 -15 -9 1 -9.7 -7 5 -3

-29.3 -26 -15 -30 -2 -23.7 -18.3 -16 -7

-16.8 -4 -6 -13 0 -7.7 -5.8 11 0

-1 10 9 4 17 7.7 10 25 25


23/43

c7 p7 g7 f7 w8 r8 c8 p8 g8

-10 6 -10.7 -6.5 -6 -6 -5 6 -5.7

-13 11 -12.3 -6.5 -8 -3 -6 11 -5.7

-28 -11 -23 -20 -12 -8 -14 -5 -11.3

-12 5 -14 -9.3 -10 -4 -6 5 -6.7

-12 5 -15.7 -10.5 -10 -7 -6 5 -7.7

-12 5 -12.3 -8 -8 -4 -6 5 -6-10 3 -3.3 -1.8 0 0 0 3 0

17 29 23.7 25 27 27 17 29 23.7

1 7 0.3 2 0 0 1 7 0.3

-15 -10 -17 -15.3 -9 -9 -7 -5 -8.3

0 13 2 4.8 6 0 0 13 2

-17 -1 -16.7 -12.8 -13 -3 -8 0 -8

-28 0 -18 -13.5 -6 -6 -14 0 -8.7

-28 -15 -15.7 -15.5 -6 -3 -14 -7 -7.7

-16 5 -17.3 -11.8 -9 -9 -8 5 -8.7

-10 16 -0.7 3.5 4 4 -5 16 1

-21 -5 -15.7 -13 -6 -6 -10 -2 -7.3

-31 -15 -29 -25.5 -14 -14 -15 -7 -14.3-31 -5 -25.7 -20.5 -11 -11 -15 -2 -12.3

-18 -5 -18 -14.8 -9 -9 -9 -2 -9

-23 -10 -23 -19.8 -11 -11 -11 -10 -11

-15 11 -10.7 -5.3 -3 -5 -7 11 -5

-20 -8 -14.3 -12.8 -4 -7 -6 -4 -5.7

-19 -1 -7 -5.5 -2 2 -9 0 -3

-22 -4 -9 -7.8 -3 2 -11 -2 -4

0 1 2.7 2.3 8 0 0 15 2.7

20 18 6.7 9.5 0 0 20 18 6.7

-33 -1 -21.3 -16.3 -12 -3 -16 0 -10.3

-2 9 0 2.3 5 0 0 9 1.7

-26 7 -16.3 -10.5 -8 -3 -13 7 -8

4 8 5 5.8 11 0 4 8 5

20 25 23.3 23.8 25 25 20 25 23.3


24/43


25/43

c10 p10 g10 f10 w11 r11 c11 p11 g11

-21 -8 -34 -27.5 -20 -20 -7 9 -15.7

-23 -36 -32.3 -33.3 -31 -25 -20 -7 -25.3

-41 -28 -39.3 -36.5 -33 -35 -37 -20 -35

-23 -36 -31 -32.3 -30 -22 -19 -28 -23.7

-23 -36 -32.7 -33.5 -30 -27 -19 28 -25.3

-23 -36 -33.3 -34 -31 -28 -19 -28 -26-32 -41 -28 -31.3 -7 -11 -14 -20 -10.7

-30 -12 -27.7 -23.8 0 0 0 6 0

-3 2 -8.7 -6 0 0 2 10 0.7

-31 -18 -29.3 -26.5 -18 -18 -15 -10 -17

-31 -18 -26 -24 -10 -8 -7 -1 -8.3

-34 -29 -37 -35 -51 -27 -30 -21 -36

-31 -8 -26 -21.5 -13 -13 -28 0 -18

-21 -13 -12.7 -12.8 -3 4 -18 -5 -5.7

-26 -8 -31 -25.3 -23 -23 -21 0 -22.3

-30 -7 -25 -20.5 -12 -12 -25 1 -16.3

-31 -18 -29.3 -26.5 -18 -18 -26 -10 -20.7

-31 -18 -32.7 -29 -23 -23 -26 -10 -24-41 -18 -39.3 -34 -28 -28 -36 -10 -30.7

-36 -18 -34.3 -30.3 -23 -23 -23 -10 -23

-41 -23 -39.3 -35.3 -28 -28 -28 -15 -28

-64 -41 -62.3 -57 -55 -54 -59 -33 -56

-42 -34 -42 -40 -26 -26 -31 -26 -27.7

-3 2 -6 -4 -1 -6 0 10 -2.3

-38 -25 -33 -31 -20 -23 -35 -17 -26

-18 -4 -12.3 -10.3 0 0 0 13 0

-6 -5 -13 -11 0 2 15 12 5.7

-43 -15 -31.3 -27.3 -20 -13 -39 -7 -24

-12 -5 -16 -13.3 -3 -5 -4 5 -4

-42 -14 -35.7 -30.3 -34 -13 -38 -6 -28.3

-12 1 -7 -5 9 0 5 9 4.7

-1 12 -1.3 2 11 11 15 20 12.3


26/43

f11 w12 r12 c12 p12 g12 f12

-9.5 -10 -10 -3 9 -7.7 -3.5

-20.8 -15 -12 -10 -3 -12.3 -10

-31.3 -16 -17 -18 -10 -17 -15.3

-24.8 -15 -11 -9 -14 -11.7 -12.3

-12 -15 -13 -9 -14 -12.3 -12.8

-26.5 -16 -14 -9 -14 -13 -13.3-13 -3 -5 -7 -10 -5 -6.3

1.5 0 0 0 6 0 1.5

3 0 0 2 10 0.7 3

-15.3 -9 -9 -7 -5 -8.3 -7.5

-6.5 -5 -4 -3 0 -4 -3

-32.3 -25 -13 -15 -10 -17.7 -15.8

-13.5 -6 -6 -14 0 -8.7 -6.5

-5.5 -1 4 -9 -2 -2 -2

-16.8 -11 -11 -10 0 -10.7 -8

-12 -6 -6 -12 1 -8 -5.8

-18 -9 -9 -13 -5 -10.3 -9

-20.5 -11 -11 -13 -5 -11.7 -10-25.5 -14 -14 -18 -5 -15.3 -12.8

-19.8 -11 -11 -11 -5 -11 -9.5

-24.8 -14 -14 -14 -7 -14 -12.3

-50.3 -27 -27 -29 -16 -27.7 -24.8

-27.3 -13 -13 -16 -13 -14 -13.8

0.8 0 -3 0 10 -1 1.8

-23.8 -10 -11 -17 -8 -12.7 -11.5

3.3 0 0 0 13 0 3.3

7.3 0 2 15 12 5.7 7.3

-19.8 -10 -6 -19 -3 -11.7 -9.5

-1.8 0 0 0 5 0 1.3

-22.8 -17 -6 -19 -3 -14 -11.3

5.8 9 0 5 9 4.7 5.8

14.3 11 11 15 20 12.3 14.3


27/43









9 888 EU Europe -1 -1




13 114 Kenya Kenya -6 -6









23 100 India India -12 -12

24 101 Indonesia Indonesia 0 -3

25 216 Thailand Thailand -2 -2

26 41 China China 0 -5

27 110 Japan Japan -5 2

28 909 F.E.A. High-Med. Inc. Cal. Exp. FE Asia 1 0 -3

29 910 F.E.A. High-Med. Inc. Cal. Imp. FE Asia 2 -2 -1

30 911 F.E.A. Low Inc. FE Asia 3 0 -3

31 10Australia Australia 0 -5

32 156 New Zealand New Zealand -2 -2


28/43

c25 p25 g25 f25 w26 r26 c26 p26 g26

-4 1 -2.7 -1.8 4 2 0 9 2

-3 -13 -17 -16 -18 -20 1 -5 -12.3

-12 -10 -8 -8.5 0 -2 -8 -2 -3.3

-7 -13 -18.3 -17 -18 -20 -3 -5 -13.7

-7 -10 -12.3 -11.8 -9 -11 -3 -2 -7.7

-7 -10 -12.3 -11.8 -9 -11 -3 -2 -7.7-17 -7 -9.7 -9 0 -2 -13 1 -5

-7 4 -7 -4.3 -1 -3 -3 12 -2.3

-5 -6 -2.3 -3.3 5 3 -1 2 2.3

-18 -18 -18 -18 -12 -14 -14 -10 -13.3

-18 -18 -18 -18 -12 -14 -14 -10 -13.3

-10 -10 -6.7 -7.5 1 -1 -6 -2 -2

-6 -6 -6 -6 0 -2 -2 2 -1.3

-16 -16 -16 -16 -10 -12 -12 -8 -11.3

-10 -10 -6.7 -7.5 1 -1 -6 -2 -2

-11 -11 -11 -11 -5 -7 -7 -3 -6.3

-10 -10 -8.7 -9 -2 -4 -6 -2 -4

-10 -10 -8.7 -9 -2 -4 -6 -2 -4-10 -10 -8.7 -9 -2 -4 -6 -2 -4

-11 -12 -9.7 -10.3 -3 -5 -7 -4 -5

-11 -12 -9.7 -10.3 -3 -5 -7 -4 -5

-13 -13 -13 -13 -7 -9 -9 -5 -8.3

-12 -12 -12 -12 -6 -8 -8 -4 -7.3

-6 -7 -3 -4 6 1 -2 1 1.7

-2 -2 -2 -2 4 2 2 6 2.7

-10 -13 -5 -7 6 -1 -6 -5 -0.3

-4 4 -2.3 -0.8 1 6 0 12 2.3

-6 -7 -3 -4 6 1 -2 1 1.7

-4 -4 -2.3 -2.8 4 3 0 4 2.3

-6 -7 -3 -4 6 1 -2 1 1.7

0 0 -1.7 -1.3 6 -1 4 8 3

-7 9 -3.7 -0.5 4 2 -3 17 1


29/43

f26 w27 r27 c27 p27 g27 f27 w28 r28

3.8 -7 -7 -9 -1 -7.7 -6 5 4

-10.5 -41 -41 -8 -25 -30 -28.8 -29 -30

-3 -20 -20 -17 -17 -19 -18.5 -8 -9

-11.5 -41 -41 -14 -25 -32 -30.3 -29 -30

-6.3 -27 -27 -14 -22 -22.7 -22.5 -15 -16

-6.3 -27 -27 -14 -22 -22.7 -22.5 -15 -16-3.5 -10 -10 -28 -21 -16 -17.3 2 1

1.3 -13 -13 -13 1 -13 -9.5 -1 -2

2.3 -3 -3 -9 -10 -5 -6.3 9 8

-12.5 -26 -26 -26 -26 -26 -26 -14 -15

-12.5 -27 -27 -27 -27 -27 -27 -15 -16

-2 -13 -13 -18 -18 -14.7 -15.5 -1 -2

-0.5 -13 -13 -13 -13 -13 -13 -1 -2

-10.5 -23 -23 -23 -23 -23 -23 -11 -12

-2 -13 -13 -18 -18 -14.7 -15.5 -1 -2

-5.5 -18 -18 -18 -18 -18 -18 -6 -7

-3.5 -16 -16 -18 -18 -16.7 -17 -4 -5

-3.5 -16 -16 -18 -18 -16.7 -17 -4 -5-3.5 -16 -16 -18 -18 -16.7 -17 -4 -5

-4.8 -18 -18 -20 -20 -18.7 -19 -6 -7

-4.8 -18 -18 -20 -20 -18.7 -19 -6 -7

-7.5 -22 -22 -22 -22 -22 -22 -10 -11

-6.5 -18 -18 -18 -18 -18 -18 -6 -7

1.5 -8 -8 -12 -14 -9.3 -10.5 4 3

3.5 -7 -7 -7 -7 -7 -7 5 4

-1.5 -8 -10 -18 -20 -12 -14 4 1

4.8 -14 -4 -13 -2 -10.3 -8.3 -2 7

1.5 -8 -8 -12 -14 -9.3 -10.5 4 3

2.8 -12 -7 -12 -12 -10.3 -10.8 0 4

1.5 -7 -7 -12 -13 -8.7 -9.8 5 4

4.3 -10 -8 -10 -10 -9.3 -9.5 2 3

5 -4 -4 -16 5 -8 -4.8 8 7


30/43

c28 p28 g28 f28 w29 r29 c29 p29 g29

-5 16 1.3 5 -10 -10 -14 -7 -11.3

-4 -8 -21 -17.8 -55 -55 -13 -38 -41

-13 0 -10 -7.5 -38 -38 -23 -29 -33

-10 -8 -23 -19.3 -55 -55 -21 -38 -43.7

-10 -5 -13.7 -11.5 -36 -36 -21 -34 -31

-10 -5 -13.7 -11.5 -36 -36 -21 -34 -31-24 -4 -7 -6.3 -10 -10 -31 -29 -17

-9 18 -4 1.5 -22 -22 -16 -5 -20

-5 7 4 4.8 -8 -8 -12 -13 -9.3

-22 -9 -17 -15 -27 -27 -27 -27 -27

-23 -10 -18 -16 -31 -31 -31 -31 -31

-14 -1 -5.7 -4.5 -28 -28 -28 -28 -28

-9 4 -4 -2 -24 -24 -24 -24 -24

-19 -6 -14 -12 -34 -34 -34 -34 -34

-14 -1 -5.7 -4.5 -28 -28 -28 -28 -28

-14 -1 -9 -7 -29 -29 -29 -29 -29

-14 -1 -7.7 -6 -28 -28 -28 -28 -28

-14 -1 -7.7 -6 -28 -28 -28 -28 -28-14 -1 -7.7 -6 -28 -28 -28 -28 -28

-16 -3 -9.7 -8 -31 -31 -31 -31 -31

-16 -3 -9.7 -8 -31 -31 -31 -31 -31

-18 -5 -13 -11 -33 -33 -33 -33 -33

-14 -1 -9 -7 -28 -28 -28 -28 -28

-8 3 -0.3 0.5 -13 -15 -19 -20 -15.7

-3 10 2 4 -19 -19 -19 -19 -19

-14 -3 -3 -3 -13 -14 -21 -23 -16

-9 15 -1.3 2.8 -23 -15 -22 -8 -20

-8 3 -0.3 0.5 -13 -15 -19 -20 -15.7

-8 5 -1.3 0.3 -17 -14 -16 -16 -15.7

-8 4 0.3 1.3 -15 -17 -20 -22 -17.3

-6 7 -0.3 1.5 -26 -12 -26 -26 -21.3

-12 22 1 6.3 -5 -5 -20 1 -10


31/43

f29 w30 r30 c30 p30 g30 f30

-10.3 7 6 -8 16 1.7 5.3

-40.3 -38 -39 -7 -15 -28 -24.8

-32 -21 -22 -17 -6 -20 -16.5

-42.3 -38 -39 -15 -15 -30.7 -26.8

-31.8 -19 -20 -15 -11 -18 -16.3

-31.8 -19 -20 -15 -11 -18 -16.3-20 7 6 -25 -6 -4 -4.5

-16.3 -5 -6 -10 18 -7 -0.8

-10.3 9 8 -6 10 3.7 5.3

-27 -10 -11 -21 -4 -14 -11.5

-31 -14 -15 -25 -8 -18 -15.5

-28 -11 -12 -22 -5 -15 -12.5

-24 -7 -8 -18 -1 -11 -8.5

-34 -17 -18 -28 -11 -21 -18.5

-28 -11 -12 -22 -5 -15 -12.5

-29 -12 -13 -23 -6 -16 -13.5

-28 -11 -12 -22 -5 -15 -12.5

-28 -11 -12 -22 -5 -15 -12.5-28 -11 -12 -22 -5 -15 -12.5

-31 -14 -15 -25 -8 -18 -15.5

-31 -14 -15 -25 -8 -18 -15.5

-33 -16 -17 -27 -10 -20 -17.5

-28 -11 -12 -22 -5 -15 -12.5

-16.8 4 1 -13 3 -2.7 -1.3

-19 -2 -3 -13 4 -6 -3.5

-17.8 4 2 -15 0 -3 -2.3

-17 -6 1 -16 15 -7 -1.5

-16.8 4 1 -13 3 -2.7 -1.3

-15.8 0 2 -10 7 -2.7 -0.3

-18.5 2 -1 -14 1 -4.3 -3

-22.5 -9 4 -20 -3 -8.3 -7

-7.3 12 11 -14 24 3 8.3


32/43









9 888 EU Europe 1 1




13 114 Kenya Kenya -2 -2









23 100 India India -8 -7

24 101 Indonesia Indonesia 3 -1

25 216 Thailand Thailand 1 1

26 41 China China -3 -4

27 110 Japan Japan -3 3

28 909 F.E.A. High-Med. Inc. Cal. Exp. FE Asia 1 4 -1

29 910 F.E.A. High-Med. Inc. Cal. Imp. FE Asia 2 2 1

30 911 F.E.A. Low Inc. FE Asia 3 3 -2

31 10Australia Australia -5 -3

32 156 New Zealand New Zealand 2 2


33/43

c31 p31 g31 f31 w32 r32 c32 p32 g32

-1 3 -1.7 -0.5 3 1 1 10 1.7

-1 -4 -5.7 -5.3 -4 -6 3 3 -2.3

-7 -1 -9.7 -7.5 -6 -8 -5 6 -6.3

-1 -4 -6.3 -5.8 -5 -7 1 3 -3.7

-2 -2 -5.3 -4.5 -2 -4 0 5 -2

-2 -2 -5.3 -4.5 -2 -4 0 5 -2-4 6 -6.7 -3.5 -3 -5 -2 13 -3.3

-2 10 -3.3 0 0 -2 -1 16 -1

1 -2 1 0.3 5 3 2 4 3.3

-5 -8 -4.3 -5.3 0 -2 -4 -2 -2

-4 -6 -5.3 -5.5 -2 -4 -3 0 -3

-8 -8 -5.3 -6 0 -2 -7 -2 -3

-2 -2 -2 -2 2 0 -1 4 0.3

-12 -12 -12 -12 -7 -9 -10 -5 -8.7

-8 -8 -5.3 -6 0 -2 -7 -2 -3

-7 -7 -7 -7 -3 -5 -6 -1 -4.7

-7 -8 -6.3 -6.8 -1 -3 -5 -1 -3

-7 -8 -6.3 -6.8 -1 -3 -5 -1 -3-7 -8 -6.3 -6.8 -1 -3 -5 -1 -3

-9 -9 -7.7 -8 -2 -4 -7 -2 -4.3

-9 -9 -7.7 -8 -2 -4 -7 -2 -4.3

-5 -8 -6 -6.5 -3 -4 -4 -2 -3.7

-7 -9 -7.3 -7.8 -4 -5 -6 -3 -5

-4 -4 -0.7 -1.5 7 1 -3 2 1.7

1 1 1 1 5 3 2 7 3.3

-3 -6 -3.3 -4 1 -2 -2 0 -1

1 3 0.3 1 1 5 2 9 2.7

-3 -4 0 -1 9 2 -1 3 3.3

-3 -3 0 -0.8 6 3 -2 3 2.3

-3 -5 -0.7 -1.8 8 1 -1 2 2.7

-4 -5 -4 -4.3 -1 -1 -3 1 -1.7

-1 11 1 3.5 7 5 1 18 4.3


34/43

f32 w33 r33 c33 p33 g33 f33 w34 r34

3.8 -2 -2 -4 1 -2.7 -1.8 6 3

-1 -5 -5 3 0 -2.3 -1.8 3 0

-3.3 -12 -12 -10 -3 -11.3 -9.3 -4 -7

-2 -5 -5 1 0 -3 -2.3 3 0

-0.3 -4 -4 0 1 -2.7 -1.8 4 1

-0.3 -4 -4 0 1 -2.7 -1.8 4 10.8 -5 -5 -7 3 -5.7 -3.5 3 0

3.3 -2 -2 1 14 -1 2.8 4 3

3.5 0 0 1 -3 0.3 -0.5 6 5

-2 -3 -3 -4 -9 -3.3 -4.8 3 2

-2.3 -5 -5 -1 -5 -3.7 -4 1 0

-2.8 -8 -8 -11 -11 -9 -9.5 -2 -3

1.3 -5 -5 -5 -5 -5 -5 1 0

-7.8 -15 -15 -15 -15 -15 -15 -7 -10

-2.8 -8 -8 -11 -11 -9 -9.5 -2 -3

-3.8 -10 -10 -10 -10 -10 -10 -4 -5

-2.5 -9 -9 -10 -11 -9.3 -9.8 -1 -4

-2.5 -9 -9 -10 -11 -9.3 -9.8 -1 -4-2.5 -9 -9 -10 -11 -9.3 -9.8 -1 -4

-3.8 -12 -12 -13 -14 -12.3 -12.8 -4 -7

-3.8 -12 -12 -13 -14 -12.3 -12.8 -4 -7

-3.3 -11 -11 -9 -12 -10.3 -10.8 -5 -6

-4.5 -13 -12 -10 -14 -11.7 -12.3 -7 -7

1.8 5 -3 -6 -6 -1.3 -2.5 11 2

4.3 -1 -1 -1 -1 -1 -1 5 4

-0.8 -2 -5 -2 -7 -3 -4 4 0

4.3 -4 3 2 3 0.3 1 2 8

3.3 5 -3 -4 -6 -0.7 -2 13 2

2.5 4 0 -3 -3 0.3 -0.5 10 5

2.5 3 -4 -5 -7 -2 -3.3 11 1

-1 -5 0 -3 -5 -2.7 -3.3 1 5

7.8 0 0 -3 10 -1 1.8 8 5


35/43

c34 p34 g34 f34 w35 r35 c35 p35 g35

-2 12 2.3 4.8 -3 -3 -4 2 -3.3

5 11 2.7 4.8 -22 -22 -5 -16 -16.3

-8 8 -6.3 -2.8 -10 -10 -12 -8 -10.7

3 11 2 4.3 -28 -28 -6 -12 -20.7

2 12 2.3 4.8 -19 -19 -8 -11 -15.3

2 12 2.3 4.8 -19 -19 -8 -11 -15.3-5 14 -0.7 3 -6 -6 -18 -7 -10

2 22 3 7.8 -4 -4 1 14 -2.3

2 5 4.3 4.5 0 0 1 -4 0.3

-3 -1 0.7 0.3 -5 -5 -5 -11 -5

0 3 0.3 1 -7 -7 -3 -7 -5.7

-10 -3 -5 -4.5 -8 -8 -12 -12 -9.3

-4 3 -1 0 -5 -5 -5 -5 -5

-13 -4 -10 -8.5 -15 -15 -15 -15 -15

-10 -3 -5 -4.5 -8 -8 -12 -12 -9.3

-9 -2 -6 -5 -10 -10 -10 -10 -10

-8 0 -4.3 -3.3 -8 -8 -10 -10 -8.7

-8 0 -4.3 -3.3 -8 -8 -10 -10 -8.7-8 0 -4.3 -3.3 -8 -8 -10 -10 -8.7

-11 -3 -7.3 -6.3 -14 -14 -16 -16 -14.7

-11 -3 -7.3 -6.3 -14 -14 -16 -16 -14.7

-8 -4 -6.3 -5.8 -14 -13 -11 -16 -12.7

-9 -6 -7.7 -7.3 -15 -14 -12 -17 -13.7

-5 2 2.7 2.5 -4 -6 -11 -11 -7

0 7 3 4 -3 -3 -3 -3 -3

-1 1 1 1 0 -3 -1 -8 -1.3

3 11 4.3 6 -5 3 2 3 0

-2 5 4.3 4.5 -5 -6 -10 -11 -7

-2 5 4.3 4.5 -4 -2 -7 -7 -4.3

-3 4 3 3.3 -6 -7 -10 -12 -7.7

-2 3 1.3 1.8 -6 -6 -3 -6 -5

-1 21 4 8.3 -2 -2 -8 10 -4


36/43

f35 w36 r36 c36 p36 g36 f36 w37 r37

-2 8 7 -1 16 4.7 7.5 -3 -3

-16.3 -14 -17 -3 -1 -11.3 -8.8 -6 -6

-10 1 0 -9 6 -2.7 -0.5 -15 -15

-18.5 -17 -17 -6 -1 -13.3 -10.3 -9 -9

-14.3 -8 -9 -5 3 -7.3 -4.8 -7 -7

-14.3 -8 -9 -5 3 -7.3 -4.8 -7 -7-9.3 5 4 -15 7 -2 0.3 -4 -4

1.8 4 1 3 25 2.7 8.3 -3 -3

-0.8 8 5 3 7 5.3 5.8 -1 -1

-6.5 3 0 -3 0 0 0 -6 -6

-6 1 -2 -1 4 -0.7 0.5 -5 -5

-10 0 -3 -10 -1 -4.3 -3.5 -10 -10

-5 3 0 -3 6 0 1.5 -9 -9

-15 -4 -5 -12 -1 -7 -5.5 -19 -19

-10 0 -3 -10 -1 -4.3 -3.5 -10 -10

-10 -2 -5 -8 1 -5 -3.5 -14 -14

-9 3 2 -7 4 -0.7 0.5 -12 -12

-9 3 2 -7 4 -0.7 0.5 -12 -12-9 3 2 -7 4 -0.7 0.5 -12 -12

-15 -3 -4 -13 -2 -6.7 -5.5 -17 -17

-15 -3 -4 -13 -2 -6.7 -5.5 -17 -17

-13.5 -6 -8 -9 -5 -7.7 -7 -17 -16

-14.5 -7 -9 -10 -6 -8.7 -8 -20 -19

-8 4 -1 -9 0 -2 -1.5 -1 -8

-3 5 2 -1 8 2 3.5 -7 -7

-3 8 2 1 3 3.7 3.5 0 -7

0.8 3 8 4 14 5 7.3 -6 2

-8 6 4 -7 3 1 1.5 -1 -8

-5 4 3 -5 4 0.7 1.5 0 -2

-8.8 5 3 -7 2 0.3 0.8 6 -6

-5.3 2 -1 -1 5 0 1.3 -8 -4

-0.5 9 8 -5 24 4 9 5 5


37/43

c37 p37 g37 f37 w38 r38 c38 p38 g38

1 7 -1.7 0.5 7 5 4 21 5.3

2 -12 -3.3 -5.5 4 2 5 2 3.7

-19 -11 -16.3 -15 -5 -7 -16 3 -9.3

3 -5 -5 -5 1 -1 6 9 2

2 -2 -4 -3.5 3 1 5 12 3

2 -2 -4 -3.5 3 1 5 12 30 7 -2.7 -0.3 6 4 3 21 4.3

2 15 -1.3 2.8 7 5 5 29 5.7

1 -4 -0.3 -1.3 9 7 4 10 6.7

-5 -10 -5.7 -6.8 4 2 -2 4 1.3

0 -5 -3.3 -3.8 5 3 3 9 3.7

-14 -14 -11.3 -12 0 -2 -11 0 -4.3

-9 -9 -9 -9 1 -1 -6 5 -2

-19 -19 -19 -19 -9 -11 -16 -5 -12

-14 -14 -11.3 -12 0 -2 -11 0 -4.3

-14 -14 -14 -14 -4 -6 -11 0 -7

-14 -14 -12.7 -13 -2 -4 -11 0 -5.7

-14 -14 -12.7 -13 -2 -4 -11 0 -5.7-14 -14 -12.7 -13 -2 -4 -11 0 -5.7

-19 -19 -17.7 -18 -7 -9 -16 -5 -10.7

-19 -19 -17.7 -18 -7 -9 -16 -5 -10.7

-13 -19 -15.3 -16.3 -7 -8 -10 -5 -8.3

-16 -22 -18.3 -19.3 -10 -11 -13 -8 -11.3

-11 -11 -6.7 -7.8 9 0 -8 3 0.3

-7 -7 -7 -7 3 1 -4 7 0

-1 -8 -2.7 -4 10 1 2 6 4.3

2 3 -0.7 0.3 4 10 5 17 6.3

-11 -11 -6.7 -7.8 9 0 -8 3 0.3

-5 -5 -2.3 -3 10 6 -2 9 4.7

-14 -14 -4.7 -7 16 2 -11 0 2.3

-5 -8 -5.7 -6.3 2 4 -2 6 1.3

6 14 5.3 7.5 15 13 9 28 12.3


38/43

f38 w39 r39 c39 p39 g39 f39 w40 r40

9.3 -1 -1 -2 2 -1.3 -0.5 3 1

3.3 -11 -11 -2 -19 -8 -10.8 -7 -9

-6.3 -10 -10 -11 -3 -10.3 -8.5 -6 -8

3.8 -13 -13 -2 -11 -9.3 -9.8 -9 -11

5.3 -10 -10 -3 -9 -7.7 -8 -6 -8

5.3 -10 -10 -3 -9 -7.7 -8 -6 -88.5 -6 -5 -3 -4 -4.7 -4.5 -2 -3

11.5 -3 -3 -2 5 -2.7 -0.8 1 -1

7.5 0 0 0 -6 0 -1.5 4 2

2 -4 -4 -5 -9 -4.3 -5.5 0 -2

5 -7 -6 -5 -8 -6 -6.5 -3 -4

-3.3 -5 -5 -8 -8 -6 -6.5 -1 -3

-0.3 -3 -3 -3 -3 -3 -3 1 -1

-10.3 -13 -13 -13 -13 -13 -13 -9 -11

-3.3 -5 -5 -8 -8 -6 -6.5 -1 -3

-5.3 -8 -8 -8 -8 -8 -8 -4 -6

-4.3 -6 -6 -8 -8 -6.7 -7 -2 -4

-4.3 -6 -6 -8 -8 -6.7 -7 -2 -4-4.3 -6 -6 -8 -8 -6.7 -7 -2 -4

-9.3 -8 -8 -9 -9 -8.3 -8.5 -4 -6

-9.3 -8 -8 -9 -9 -8.3 -8.5 -4 -6

-7.5 -7 -6 -6 -8 -6.3 -6.8 -3 -4

-10.5 -9 -8 -8 -10 -8.3 -8.8 -5 -6

1 -7 -3 -7 -7 -5.7 -6 -3 -1

1.8 -1 -1 -1 -1 -1 -1 3 1

4.8 2 -2 0 -8 0 -2 6 0

9 -2 3 2 4 1 1.8 2 5

1 -7 -3 -7 -7 -5.7 -6 -3 -1

5.8 -7 0 -4 -4 -3.7 -3.8 -3 2

1.8 -11 -4 -12 -12 -9 -9.8 -7 -2

2.5 -7 -3 -5 -8 -5 -5.8 -3 -1

16.3 -1 -1 -2 5 -1.3 0.3 3 1


39/43

c40 p40 g40 f40 w41 r41 c41 p41 g41

-1 8 1 2.8 -3 -3 0 6 -2

-1 -13 -5.7 -7.5 -6 -6 1 -14 -3.7

-10 3 -8 -5.3 -10 -10 -16 -9 -12

-1 -5 -7 -6.5 -7 -7 3 -5 -3.7

-2 -3 -5.3 -4.8 -6 -6 1 -3 -3.7

-2 -3 -5.3 -4.8 -6 -6 1 -3 -3.7-2 5 -2.3 -0.5 -8 -8 -2 4 -6

-1 11 -0.3 2.5 -9 -8 -3 2 -6.7

1 0 2.3 1.8 -1 -1 0 -8 -0.7

-4 -3 -2 -2.3 -5 -5 -5 -10 -5

-4 -2 -3.7 -3.3 -10 -8 -5 -11 -7.7

-7 -2 -3.7 -3.3 -8 -8 -11 -11 -9

-2 3 -0.7 0.3 -5 -5 -5 -5 -5

-12 -7 -10.7 -9.8 -15 -15 -15 -15 -15

-7 -2 -3.7 -3.3 -8 -8 -11 -11 -9

-7 -2 -5.7 -4.8 -10 -10 -10 -10 -10

-7 -2 -4.3 -3.8 -9 -9 -11 -11 -9.7

-7 -2 -4.3 -3.8 -9 -9 -11 -11 -9.7-7 -2 -4.3 -3.8 -9 -9 -11 -11 -9.7

-8 -3 -6 -5.3 -13 -13 -15 -15 -13.7

-8 -3 -6 -5.3 -13 -13 -15 -15 -13.7

-5 -2 -4 -3.5 -14 -12 -11 -15 -12.3

-7 -4 -6 -5.5 -15 -14 -12 -17 -13.7

-6 -1 -3.3 -2.8 -1 -6 -10 -10 -5.7

0 5 1.3 2.3 -3 -3 -3 -3 -3

1 -2 2.3 1.3 -3 -6 -3 -14 -4

3 10 3.3 5 -6 3 1 2 -0.7

-6 -1 -3.3 -2.8 -1 -6 -10 -10 -5.7

-3 2 -1.3 -0.5 -1 -1 -6 -6 -2.7

-11 -6 -6.7 -6.5 4 -6 -14 -14 -5.3

-4 -2 -2.7 -2.5 -10 -6 -6 -11 -7.3

-1 11 1 3.5 0 0 1 11 0.3


40/43

f41 w42 r42 c42 p42 g42 f42 w43 r43

0 5 2 2 17 3 6.5 -3 -3

-6.3 2 -1 3 -3 1.3 0.3 -8 -8

-11.3 -2 -5 -14 2 -7 -4.8 -17 -17

-4 1 -2 5 6 1.3 2.5 -11 -11

-3.5 2 -1 3 8 1.3 3 -9 -9

-3.5 2 -1 3 8 1.3 3 -9 -9-3.5 0 -3 0 15 -1 3 -10 -10

-4.5 -1 -3 -1 13 -1.7 2 -8 -8

-2.5 7 4 2 3 4.3 4 -4 -4

-6.3 3 0 -3 1 0 0.3 -8 -8

-8.5 -2 -3 -3 0 -2.7 -2 -12 -12

-9.5 0 -3 -9 0 -4 -3 -13 -13

-5 3 0 -3 6 0 1.5 -9 -9

-15 -7 -10 -13 -4 -10 -8.5 -19 -19

-9.5 0 -3 -9 0 -4 -3 -13 -13

-10 -2 -5 -8 1 -5 -3.5 -14 -14

-10 -1 -4 -9 0 -4.7 -3.5 -14 -14

-10 -1 -4 -9 0 -4.7 -3.5 -14 -14-10 -1 -4 -9 0 -4.7 -3.5 -14 -14

-14 -5 -8 -13 -4 -8.7 -7.5 -19 -19

-14 -5 -8 -13 -4 -8.7 -7.5 -19 -19

-13 -6 -7 -9 -4 -7.3 -6.5 -18 -18

-14.5 -7 -9 -10 -6 -8.7 -8 -20 -20

-6.8 7 -1 -8 1 -0.7 -0.3 -4 -9

-3 5 2 -1 8 2 3.5 -7 -7

-6.5 5 -1 -1 -3 1 0 -1 -8

0 2 8 3 13 4.3 6.5 -6 2

-6.8 7 -1 -8 1 -0.7 -0.3 -4 -9

-3.5 7 4 -4 5 2.3 3 -3 -3

-7.5 12 -1 -12 -3 -0.3 -1 1 -8

-8.3 -2 -1 -4 0 -2.3 -1.8 -14 -8

3 8 5 3 22 5.3 9.5 0 0


41/43

c43 p43 g43 f43 w44 r44 c44 p44 g44

-5 1 -3.7 -2.5 9 8 -1 18 5.3

1 -17 -5 -8 4 3 5 0 4

-19 -12 -17.7 -16.3 -5 -6 -15 5 -8.7

1 -9 -7 -7.5 1 0 5 8 2

0 -6 -6 -6 3 2 4 11 3

0 -6 -6 -6 3 2 4 11 3-4 3 -8 -5.3 2 1 0 20 1

-2 4 -6 -3.5 4 3 2 21 3

-1 -9 -3 -4.5 8 7 3 8 6

-6 -12 -7.3 -8.5 4 3 -2 5 1.7

-5 -13 -9.7 -10.5 0 -1 -1 4 -0.7

-16 -16 -14 -14.5 -1 -2 -12 1 -5

-9 -9 -9 -9 3 2 -5 8 0

-19 -19 -19 -19 -7 -8 -15 -2 -10

-16 -16 -14 -14.5 -1 -2 -12 1 -5

-14 -14 -14 -14 -2 -3 -10 3 -5

-15 -15 -14.3 -14.5 -2 -3 -11 2 -5.3

-15 -15 -14.3 -14.5 -2 -3 -11 2 -5.3-15 -15 -14.3 -14.5 -2 -3 -11 2 -5.3

-20 -20 -19.3 -19.5 -7 -8 -16 -3 -10.3

-20 -20 -19.3 -19.5 -7 -8 -16 -3 -10.3

-14 -21 -16.7 -17.8 -6 -7 -10 -4 -7.7

-16 -23 -18.7 -19.8 -8 -9 -12 -6 -9.7

-13 -13 -8.7 -9.8 8 2 -9 4 0.3

-7 -7 -7 -7 5 4 -3 10 2

-2 -18 -3.7 -7.3 11 3 2 -1 5.3

3 3 -0.3 0.5 6 13 7 20 8.7

-13 -13 -8.7 -9.8 8 2 -9 4 0.3

-7 -7 -4.3 -5 9 8 -3 10 4.7

-17 -17 -8 -10.3 13 3 -13 0 1

-8 -16 -10 -11.5 -2 3 -4 1 -1

1 12 0.3 3.3 12 11 5 29 9.3


42/43

f44 w45 r45 c45 p45 g45 f45 w46 r46

8.5 -5 -5 -7 0 -5.7 -4.3 10 9

3 -14 -14 -1 -23 -9.7 -13 1 0

-5.3 -22 -22 -21 -16 -21.7 -20.3 -7 -8

3.5 -20 -20 -3 -18 -14.3 -15.3 -5 -6

5 -17 -17 -5 -14 -13 -13.3 -2 -3

5 -17 -17 -5 -14 -13 -13.3 -2 -35.8 -15 -14 -9 -7 -12.7 -11.3 0 0

7.5 -14 -14 -5 0 -11 -8.3 1 0

6.5 -11 -11 -5 -12 -9 -9.8 4 3

2.5 -14 -14 -9 -14 -12.3 -12.8 1 0

0.5 -14 -14 -5 -14 -11 -11.8 1 0

-3.5 -16 -16 -20 -20 -17.3 -18 -1 -2

2 -10 -10 -10 -10 -10 -10 5 4

-8 -20 -20 -20 -20 -20 -20 -5 -6

-3.5 -16 -16 -20 -20 -17.3 -18 -1 -2

-3 -15 -15 -15 -15 -15 -15 0 -1

-3.5 -16 -16 -18 -18 -16.7 -17 -1 -2

-3.5 -16 -16 -18 -18 -16.7 -17 -1 -2-3.5 -16 -16 -18 -18 -16.7 -17 -1 -2

-8.5 -23 -23 -25 -25 -23.7 -24 -8 -9

-8.5 -23 -23 -25 -25 -23.7 -24 -8 -9

-6.8 -23 -22 -18 -25 -21 -22 -8 -8

-8.8 -23 -22 -18 -25 -21 -22 -8 -8

1.3 -6 -11 -15 -15 -10.7 -11.8 9 3

4 -11 -11 -11 -11 -11 -11 4 3

3.8 -5 -10 -4 -21 -6.3 -10 10 4

11.5 -10 0 0 1 -3.3 -2.3 5 14

1.3 -6 -11 -15 -15 -10.7 -11.8 9 3

6 -4 -4 -8 -8 -5.3 -6 11 10

0.8 2 -8 -16 -16 -7.3 -9.5 17 6

-0.5 -18 -9 -11 -21 -12.7 -14.8 -3 5

14.3 -2 -2 -2 11 -2 1.3 13 12


43/43

c46 p46 g46 f46

-2 20 5.7 9.3

4 -3 1.7 0.5

-16 4 -10.3 -6.8

2 2 -3 -1.8

0 6 -1.7 0.3

0 6 -1.7 0.3-4 13 -1.3 2.3

0 20 0.3 5.3

0 8 2.3 3.8

-4 6 -1 0.8

0 6 0.3 1.8

-15 0 -6 -4.5

-5 10 1.3 3.5

-15 0 -8.7 -6.5

-15 0 -6 -4.5

-10 5 -3.7 -1.5

-13 2 -5.3 -3.5

-13 2 -5.3 -3.5-13 2 -5.3 -3.5

-20 -5 -12.3 -10.5

-20 -5 -12.3 -10.5

-13 -5 -9.7 -8.5

-13 -5 -9.7 -8.5

-10 5 0.7 1.8

-6 9 0.3 2.5

1 -1 5 3.5

5 21 8 11.3

-10 5 0.7 1.8

-3 12 6 7.5

-11 4 4 4

-6 -1 -1.3 -1.3

3 31 9.3 14.8

Documents

Potential Impacts World Food Supply